Salesforce Q3 2024 Earnings: 5 Things to Know

Salesforce AgentForce advancements, Microsoft competition and enterprise technology spending indicators in 2025 are topics likely to be covered in today’s fiscal third quarter 2025 earnings call.

Salesforce Agentforce Progress, Microsoft Competition, and Enterprise Technology Spending Indicators in 2025.
These are some of the key topics expected to emerge Tuesday during Salesforce’s quarterly earnings call for the three months ending Oct. 30.
Cloud applications giant Salesforce, which has about 12,000 partners worldwide, informed Revenue for the second quarter of fiscal year 2025 was $9.33 billion in August, an increase of 9 percent year over year excluding foreign exchange.
[RELATED: Salesforce’s Benioff Says Microsoft AI ‘Has Disappointed So Many Customers,’ But Vendor Hits Back]

salesforce q3 earnings preview

Multiple reports from investment firms reviewed by CRN suggest that Salesforce should meet revenue expectations of about $9.31 billion for the third quarter of fiscal 2025, which would represent a 7 percent increase year over year.
The companies also expect Salesforce to maintain its expected guidance of $37.7 billion to $38 billion for full fiscal 2025, which would imply growth of 8 percent to 9 percent year-over-year.
Here’s more about what you can expect during Salesforce’s earnings call for the third quarter.

agentforce update

Tuesday’s call will give Salesforce CEO Marc Benioff and his team a chance to update the world on Traction Agentforce, the company’s AI agents offering, which became generally available in October.
Multiple investment firm reports say more customer demand is expected with AgentForce in the summer of 2025 as the vendor works on more AI integration across its product portfolio.
In November, Salesforce introduced agentic lifecycle management tools for automating Agentforce testing, prototyping agents in a secure sandbox environment, managing agent deployments at scale, and other activities to simplify Agentforce adoption.
Potential barriers to AgentForce adoption are its complex pricing structure – including $2 per conversation and up to $10 for human costs per interaction, according to KeyBank, legal and compliance checks around conversational AI responses, as well as high data consumption costs from AI bots. Is included.
A December report from Wedbush put salesforce’s annual revenue growth from monetizing AI at more than $4 billion in the installed base. According to the report, “While it won’t happen overnight, the story of AI monetization in CRM will be a major growth catalyst for the tech giants in the years to come.”

AgentForce: A Partner Opportunity

During the vendor’s Dreamforce conference in September, Salesforce Pur:An AgentForce partner network to bring systems integrators and other partner business models into the go-to-market (GTM) effort.
Some of the inaugural AgentForce Partner Network members include the 2024 CRN Solution Provider 500 members With Accenture, Capgemini and Slalom, Deloitte Digital and PwC.
Analyst reports citing feedback from Salesforce partners show a mixed situation so far on AgentForce adoption. In a November report, investment firm KeyBank said it had heard from some partners that “it has become harder to do business with Salesforce as the channel is being pressured on AI initiatives.”
Other partners “are optimistic on the potential of what AgentForce could become, but the impact on financial position remains unknown until the product is released across the company-wide spectrum.”
According to KeyBanc, “Almost every partner we spoke to has full buy-in and believes in the value creation opportunities for clients.” “Customers are paying partners and deploying AgentForce, but it seems to be for simple use cases for now.”
The firm saw an increase in funding from Salesforce for systems integrators to create customer proofs of concepts starting in October. According to Morgan Stanley, “Partners are cautiously optimistic on the opportunity for the demand environment to improve in CY25/FY26, benefiting from less post-election political uncertainty and a better understanding of converting GenAI plans into deals.”

Microsoft Contest

Benioff and his team at Salesforce mince no words when comparing Salesforce’s AI products and capabilities to rival Microsoft. And it’s likely the CRM applications giant will make more comparisons on Tuesday’s call.
on fiscal second quarter earnings call outBenioff said that Microsoft’s AI “has disappointed a lot of customers.” During Dreamforce 2024, Benioff attackedMicrosoft’s business practices and the quality of AI results generated by ChatGPT developed by Microsoft supported OpenAI.
Salesforce executives have positioned the vendor as the world’s true enterprise AI platform due to the data customers house in its portfolio of products – the data needed by AI to unlock tailored insights.
Salesforce leadership may continue to rain attacks against Microsoft on Tuesday’s call, especially now that Microsoft is promoting its investments AI agents for customersIncluding the general availability of AI agents inside SharePoint, announced at Ignite 2024.
A November report from Melius Research said Microsoft’s AI agents could serve as an “onramp to agent creation for the masses” and remove the need for users to access CRM applications. According to the firm, “Microsoft may become the preferred AI interface/gateway for enterprises given its digital real estate and advanced security capabilities.”

tableau update

Salesforce will likely provide an update to its Tableau data visualization product starting in February Tableau Einstein Alliance Partner Community.
Tableau Einstein, a new version of the data analytics platform Salesforce purchased in 2019, already has 25 initial members in the community along with the CRN 2024 Solution Provider 500. members These include Capgemini, IBM Consulting and Slalom Consulting.
Tableau Einstein was unveiled in September, with some of its services already available through the Tableau+ premium offering and plans to make Tableau Einstein a stand-alone product as well as an integrated part of existing Salesforce offerings, according to the vendor. There is a plan. Salesforce has approximately 12,000 partners worldwide.

cloud product display

Salesforce partners sell products across the vendor’s entire portfolio and so Tuesday’s expected updates on other Salesforce offerings, including Data Cloud and Marketing Cloud, will be important to partners’ businesses.
Salesforce has also positioned the data cloud as an enabler of AI use cases, perhaps meaning that more demand awaits as partners unlock more AI customers for the vendor.
A November report from Bank of America said surveys with channel partners showed “continued growth” in sales, marketing and service cloud, and better performance in health care, life sciences, financial services and government.
According to a November report, Morgan Stanley said that Salesforce’s marketing and commerce cloud has seen weak demand from partners. Services and data cloud have seen strong demand.

Reveri expands Snowflake, AWS integration links to meet AI data demands

As analytical and AI applications demand more data, Reviri is making it easier for businesses to access data through the Snowflake Data Cloud and the Amazon Q AI assistant.

Data integration technology provider Reveri is expanding its links with leading Amazon Web Series and Snowflake data sources to help enterprises better use their own data for analytical and GenAI applications.

Reverie’s move, announced on Tuesday, comes as businesses and organizations are increasingly expanding their use of AI and GenAI technology and looking for ways to connect them. AI system With your own data.
The news also follows Revari’s ongoing efforts to grow its partner ecosystem of resellers, system integrators and consultants.
[Related: Here Are The Stellar Startup Big Data Vendors To Know In 2024]
“We know that even though we are leveraging partners today, we know that without a proactive strategy to build out this partner program, to bring new partners on board, we will not be all that we can be.” are,” said Scott Hanrahan, Reverie’s vice president of global sales and partners, in a recent interview. crn,
River It was founded in 2019 when it was spun off from data consulting firm Kiras. The company develops SaaS-based data ELT (extract, load, and transform) and data integration platforms to create connections or “pipelines” between data sources and data warehouses.
Today the company, with US headquarters in New York, offers more than 200 native connectors with fully managed data replication services.
Connecting increasingly distributed data sources has become one of the biggest challenges for companies trying to leverage their data assets for analytical and AI applications. The crowded data integration industry includes startups like Fivetran, Informatica, Matillion and Qlik (which acquired Talend last year) and Airbyte, DBT Labs and Reviri.
Hanrahan said Reveri is balancing breadth of functionality with ease of use and affordability with its products compared to its competitors.

Data Integration Market Drivers

Hanrahan (pictured) points out that many Reverie customers today are either installing their first “data stack” systems to replace manual data processes or rebuilding older data stacks to reduce costs. crn,
Although AI is not yet a major sales driver, the executive expects that to change as businesses look to leverage their data assets for AI and GenAI applications. “We believe we are in a good position for that day when it comes,” he said.
Meanwhile, Revari is adding AI services and functionality to its offerings. In June the company launched the Reverie Blueprint, a framework for building data pipelines more quickly for GenAI-powered applications. It also introduced an AI-powered co-pilot to assist in data integration tasks. (Both products are in private preview.)
Today, about 30 percent of Revari’s revenue is generated through partners, according to Hanrahan. The company is expanding its partner program including recruitment. A new partner manager in EMEA and, most recently, someone to manage the company’s relationships with systems integrators in the US
The company’s offerings are also available through the online marketplaces of all three major cloud providers, though Hanrahan says the relationship with AWS is the deepest because Reverie is developed on the AWS platform.
Hanrahan’s goals for 2025 include recruiting more partners, including data and analytics consultants and service providers in North America and the UK, as well as some large systems integrators. He is also looking for partners with expertise in certain data-intensive sectors, including SMB financial services, media and entertainment, retail, and advertising and marketing technology.

Details on New Snowflake, Amazon Q Integration

Today’s Reverie announcement specifically includes new integrations with the Amazon Q generative AI assistant AWS and integration with snowflake Cloud data platform as data source.
“With the launch of these integrations, Reviri continues to enable seamless data management across all platforms, helping organizations deploy powerful AI applications with less friction and more actionable insights,” Reviri CEO Itamar Ben Haymo said in a statement. Empowers you to achieve.”
“With Snowflake and Amazon Queue integration as a source, we are enabling our users to unlock the full potential of their data – from streamlining migrations to building data-driven, GenAI solutions that deliver resiliency and security.” meet today’s business needs,” he said. ,
Revri’s integration with Amazon Q leverages the GenAI Assistant’s Retrieval Augmented Generation (RAG) workflow, allowing companies to create personalized GenAI chat assistants based on the full range of data available within an enterprise. According to Reverie, this makes it possible to set up enterprise-specific GenAI chatbots that can securely answer questions, provide summaries and generate content with less hallucination.
The new linkage synchronizes all enterprise data sources to build AI applications based on the full range of internal data. According to the Reverie announcement, it helps prepare data for use in large language models (LLMs) with an optimized structure to handle RAG workflows, and triggers Amazon Queue synchronization to ensure that AI Applications are using the most recent data.
New Snowflake as a data source integration helps data engineers and analysts replicate or migrate data from the Snowflake platform, moving and synchronizing data as needed, regardless of its destination. To simplify cross-platform data management. Reveri says this is especially important as data from the data warehouse is increasingly being fed back into operational systems to automate the use of analytical insights.
According to Revery, the new integration makes it possible to sync data between multiple data warehouses, move data from Snowflake to another data lake or data warehouse system, and activate Snowflake data in transactional databases or AI applications.

10 new AI, security and storage products launched

AWS Unveils 10 New AI, GenAI, Security, and Storage Offerings at Re:Invent 2024 Here are the new solutions every AWS partner needs to know about.

Amazon Web Services’ Innovation engine fires up as $110 billion cloud giant unveils new products and offerings at AWS re:Invent 2024, including new generative AI and cybersecurity solutions.
on new launch AWS re:invented This week features AWS Security Incident Response, a newly revamped Amazon Connect Contact Center portfolio Amazon Q Integration with Google Chrome and Microsoft Edge, as well as new Amazon EC2 storage instances.
The Seattle-based company posted record revenue of $27.5 billion during the third quarter of 2024, representing 19 percent sales growth year over year. AWS is global cloud market The leader owns 31 percent share of the worldwide enterprise cloud infrastructure services market, followed by Microsoft with 20 percent share and Google Cloud with 12 percent share.
[Related: CEO Matt Garman: Why Partners Are Picking AWS Vs. Microsoft And Google Cloud]

AWS Re:Invent 2024

Thousands of AWS customers, developers, channel partners, and IT leaders descended on Las Vegas this week for the company’s popular AWS Re:Invent conference, running from Dec. 2 to Dec. 6.
In a recent interview with CRN, AWS CEO Matt Garman That said, a partner-centric strategy is how AWS can truly grow on a worldwide basis, especially in the AI ​​age.
“Generative AI is going to reshape almost every single industry and every single business,” Garman told CRN. “As we continue to expand globally, we rely more and more on our global and regional channel partners to help us as they are the ones who often know customers best.”
CRN details the 10 most important new AWS product launches News announcements made on AWS re:Invent This week 2024, so far, is what every channel partner, investor and customer needs to know about.

AWS Security Incident Response Service
AWS announced a new service designed to help organizations manage security incidents quickly and effectively: AWS Security Incident Response.
“The service is intended to help customers prepare for, respond to, and recover from a variety of security incidents, including account takeovers, data breaches, and ransomware attacks,” said Betty Zheng, senior developer counsel at AWS, in a blog post.
Security incident response automates triage and investigation of security findings from Amazon GuardDuty and integrated third-party threat detection tools through AWS Security Hub. It facilitates communication and coordination and provides 24/7 access to security experts from the AWS Customer Incident Response Team (CIRT) who can assist during security incidents.
The cybersecurity service simplifies incident response by offering pre-configured notification rules and permission settings that can be extended to both internal and external stakeholders, including third-party security providers.
AWS’s new service aims to provide customers with more comprehensive support across stages of the incident response lifecycle, from preparation to detection, analysis and recovery.

Amazon Bedrock New RAG and LLM Capabilities
Amazon’s flagship AI platform, Bedrock, now supports RAG assessment.
Customers can now run an automated knowledge base assessment to assess and optimize RAG applications using Amazon Bedrock Knowledge Base. The evaluation shows that LLM is used to calculate metrics for evaluation. With RAG Evaluation, users can compare different configurations and tune their settings to get the right results.
Additionally, the Amazon Bedrock Model evaluation now includes what the company calls LLM-A-Judge.
With LLM-a-Judge, users can now test and evaluate other models with human quality at a fraction of the cost and time of running a human assessment, according to Danilo Poccia, chief evangelist at AWS, in a blog post.
Bedrock’s new evaluations assess multiple quality dimensions including correctness, helpfulness, and responsible AI criteria such as refusal to respond and harmfulness. Assessment results are output and provide natural language explanations for each score on the console, and scores are normalized from 0 to 1 for ease of interpretation.

Amazon Connect revamped with GenAI and security
Amazon’s popular cloud contact center portfolio, Connect, is being revamped with a new set of AI and security features.
At re:Invent, AWS introduced new features in Amazon Connect such as generative AI-powered customer segmentation for targeted campaigns; Native WhatsApp Business messaging for omnichannel support; Secure collection of sensitive customer data in chat interactions; Simplified conversational AI bot management in the Amazon Connect interface; And new enhancements to Amazon Q in Connect.
Amazon Connect also added new analytics capabilities through the Amazon Connect Contact Lens to help optimize bot performance and contact center operations.
On the GenAI front, Connect users can now create customer segments using conversational prompts to allow businesses to create accurate customer segments using natural language descriptions. Users can now create, edit, and manage AI bots powered by Amazon Lex directly within the Connect web interface.

New Amazon Q Business extensions and integrations
Amazon Q is AWS’s flagship generative AI assistant.
AWS unveiled a new capability that now allows users to access Amazon Q Assistant across popular web browsers including Google Chrome, Microsoft Edge and Mozilla Firefox, as well as productivity tools like Cisco Slack and Microsoft Teams.
This helps users save time and complete work and tasks more efficiently without leaving their favorite applications.
“Now, you can use Amazon Q Business directly from your web browser and other supported messaging and collaboration applications,” Donnie Prakoso, principal developer advocate for AWS, said in a blog post. “For example, you can easily analyze and summarize content, get clarification on complex topics, or create meeting summaries without having to switch between applications.”

New storage optimized Amazon EC2 I8g instances
AWS launched its new Amazon EC2 I8g instances, now generally available.
AWS’s new Storage Optimized Instances deliver the highest real-time storage performance among storage-optimized EC2 instances with the third generation of AWS Nitro SSDs and AWS Graviton4 processors.
EC2 I8g instances are the first instance type to utilize third-generation AWS Nitro SSDs. These instances offer 96 vCPUs, 768 GB memory, and 22.5 TB storage to provide more compute and storage options than I4g instances.
AWS said Graviton4 processors provide users with improved security by fully encrypting all high-speed physical hardware interfaces.

Amazon GuardDuty Extended Threat Detection
AWS has injected advanced AI and machine learning threat detection capabilities into users’ applications, workloads, and data inside Amazon GuardDuty.
GuardDuty Extended Threat Detection employs sophisticated AI and ML to identify both known and previously unknown attack sequences, while introducing new attack sequence findings and building on existing detections in areas such as credential exfiltration, privilege escalation, and data exfiltration. Improves action for.
New capabilities correlate security signals to identify active attack sequences in AWS environments. These sequences can include any number of steps taken by an adversary, such as privilege discovery, API manipulation, persistence activities, and data exfiltration.
“These discoveries are characterized as attack sequence findings, a new type of GuardDuty discovery with increased severity,” Esra Kayabali, senior solutions architect at AWS, said in a blog post. “Previously, GuardDuty had never used this level of seriousness, reserving this level for findings made with the utmost confidence and urgency.”
These new findings reflect the increased severity and include a natural language summary of the nature and significance of the threat, activities mapped to tactics and techniques from the MITER ATT&CK framework, and prescriptive remediation recommendations based on AWS best practices. .

Amazon FSX Intelligent-Tiering
Amazon’s new FSx intelligent-tiering storage class is now available for use with Amazon FSx for the OpenZFS file system.
Providing network-attached storage (NAS) capabilities with automatic data tiering, Amazon FSx intelligent-tiering provides high performance up to 400K IOPS, 20 GB/s throughput, and integration with AWS services.
Customer data moves between three storage tiers—Frequent Access, Infrequent Access, and Archive—with no effort required from the user. Customers receive automatic cost savings with no upfront cost or commitment.
Regardless of the storage tier, data is stored across multiple AWS Availability Zones for redundancy and availability.
AWS said the new storage class costs 85 percent less than existing SSD storage classes and 20 percent less than traditional HDD-based deployments on premises, and brings full elasticity and intelligent tiering to NAS data sets.

Amazon OpenSearch services integrate with Amazon Security Lake
AWS has integrated its Amazon OpenSearch services with Amazon Security Lake, which is now generally available.
This integration lets customers efficiently discover, analyze, and derive actionable insights from their security data, streamlining complex data engineering needs and unlocking the full potential of security data.
“This is a new way to query and analyze logs in-place in the security lake that reduces the need to duplicate data and reduces the operational overhead of managing custom data pipelines. You can directly query your Security Lake data, saving the cost of carrying data: Chanie Yun, AWS’s principal developer advocate, said in a blog post.
With OpenSearch Service zero-ETL integration with Security Lake, users can use the analytics capabilities of the OpenSearch dashboard to query and visualize their data in Security Lake. Customers can also analyze multiple data sources within a single tool and one schema, the Open Cybersecurity Schema Framework (OCSF), to help drive threat discovery and investigation scenarios.

Amazon Bedrock PartyRock revamped; free daily use
AWS PartyRock is an intuitive Generative AI app-building playground inside Amazon Bedrock that lets users create GenAI applications by simply describing the app they want to build, without needing to write any code.
AWS said that due to customer demand, recurring free daily access will be offered to all users starting in 2025, with no credit card required.
Additionally, PartyRock users can now explore hundreds of thousands of applications in the PartyRock catalog to find the right app for use cases based on category or functionality. Relevant and popular apps are highlighted to showcase the creativity of the community.
Finally, users can now upload and process multiple documents at once, making it easier to create apps that handle batch processing, document comparison, or content aggregation.

New storage browser for Amazon S3
AWS introduced the Storage Browser for Amazon S3, a new open source interface component that lets users add their web applications so they can interact with their data stored in Amazon S3.
With this frontend component, authorized end users can browse, upload, download, copy, and delete data from Amazon S3 based on their specific permissions, which are controlled using AWS Identity and Security services or custom managed solutions.
“The Storage Browser for S3 reduces the pressure on developers wanting to provide end users access to data in S3, and it is designed in a way that end users—such as customers, partners, and employees—care about its familiarity. Can work efficiently with data without Amazon S3 or AWS, ”said Matthias Guimaraes, senior developer attorney at AWS, in a blog post.
Additionally, developers can customize the look and feel of the storage browser interface to align with the design of their application.

Accenture, Deloitte, Calent Top List

Here are the dozens of channel partners who won AWS Partner of the Year awards this year, unveiled today at AWS re:Invent 2024.

Titans prefer from channel partner accenture And Deloitte recognized top innovators like Klent and AllCloud, with AWS presenting its annual Partner of the Year award to dozens of partners at AWS re:Invent 2024.
“We have over 130,000 partners AWS Partner Network” said Ruba Borno, vice president and leader of Worldwide Channels and Alliances for AWS, in an interview with CRN. “It is great to see that the enrollment and competitive landscape is getting better and better. Also, the number of innovations and success stories is also increasing, which is great for customers.”
AWS Partner Award winners were unveiled at the Partner Awards Gala at AWS re:Invent on Monday in Las Vegas. These awards honor AWS Partners said Borno, whose business model embraces innovation, expertise and collaboration in 2024.
[Related: AWS CEO Matt Garman: Partners Are Our ‘Co-Inventors’]
For the third consecutive year, the AWS Partner Awards included a self-nomination process in which all partners were invited to submit nominations, with an emphasis on customer success use cases, with a third partner selected. Prizes included. A panel of AWS experts ultimately selected the winners and finalists for each category.
“The awards are performance based, but nominations are also based on use cases of innovation. This year we had over 1,250 nominations,” she said. “If you compare it to a few years ago, where it was less than 500—that’s a huge jump.” CRN breaks AWS Partner Award Winner For 2024, which every channel partner should know about.

GenAI Global Partner of the Year

Global Consulting Winners: Deloitte
Geo Consulting Winner: Slalom
The Generative AI Partner Award recognizes global consulting partners with the Generative AI qualification who help clients adopt and strategize Generative AI, build and test Generative AI applications, train and optimize foundation models, build Generative AI applications and models Helps define responsible AI principles and frameworks.

AWS Marketplace Channel Partner of the Year

Global Winner: CDW
Global Finalist: World Wide Technology, Presidio
EMEA Winner: Computercenter
EMEA Finalists: Softcat, SoftwareOne
This award recognizes the top AWS Consulting Partners with significant AWS Marketplace transactions.

GenAI Industry Solution Partner of the Year

Global Winner: Kelant
The award recognizes top industry solution partners with generative AI capabilities who excel in building and launching transformative applications across various industries.

SaaS SI Partner of the Year

Global Winner: AllCloud
The Software-as-a-Service (SaaS) Systems Integrator (SI) Award recognizes partners with the AWS SaaS Qualification who have deep experience in helping organizations design and build SaaS and cloud-native solutions on AWS.

Security Partner of the Year

Global Consulting Winner: Deloitte
Jio Consulting Winner: Mission Cloud
This cybersecurity award recognizes top partners with the AWS Security Competency who have proven customer success in securing every stage of cloud adoption, from initial migration to day-to-day management.

MSP Partner of the Year

Global MSP Winner: eCloudValley Technology Limited
Global MSP Finalists: nClouds, Kindril
This award is for MSPs that provide end-to-end AWS solutions to customers at any stage of the cloud journey – from consultation on initial solution design, through the creation of applications, through ongoing customization and support.

Application Modernization SI Partner of the Year

Global Consulting Winner: CloudHero
This award recognizes the top partners who leverage AWS containers and serverless services to help customers make their legacy applications more agile, elastic, highly available, and build new modern applications.

Public Sector Global Consulting Partner of the Year

Global Winner: Accenture
North America Winner: Deloitte
These top AWS public sector global consulting partners provide cloud solutions and experiences that support government, space, education, and nonprofits around the world.

Migration Partner of the Year

Global Consulting Winner: Accenture
Jio Consulting Winner: Kelant
The Migration Partner Award recognizes top partners with AWS Migration qualifications specializing in customer migration to the AWS cloud. The decision was based on the number of migrations, price and timely delivery.

Data and Analytics Partner of the Year

Global Consulting Winner: Tata Consultancy Services (TCS)
Geo Consulting Winner: Adastra
This award recognizes partners with the AWS Data & Analytics Competency who have demonstrated expertise in data and analytics. The winners were evaluated based on the number of efficiencies, value provided to customers and revenue generated.

Distributor Partner of the Year

Global Winner: Ingram Micro
North America Winner: TD Synnex
EMEA Winner: Redington Gulf
This award recognizes distributors who provide significant contributions related to revenue and number of AWS partners.

Education Partner of the Year

Geo Consulting Winner: ClassMethod
This education award recognizes qualified education partners who have achieved innovative mission-based wins for K-12 or higher education.

Aerospace and Satellite Partner of the Year

Jio Consulting Winner: Minfi Technologies
The award recognizes government-qualified partners who deliver innovative mission-based wins for public sector aerospace or satellite customers.

Healthcare Partner of the Year

Geo Consulting Winner: Deloitte
The award recognizes AWS partners who have achieved innovative wins for healthcare customers.

Industry Partner of the Year for Auto and Manufacturing

Global Winner: Cognizant
North America Winner: Siemens Digital Industries Software
EMEA Winner: Capgemini
The award recognizes partners with AWS Automotive or Manufacturing qualifications who helped automotive and manufacturing customers accelerate their transformation through purpose-built cloud capabilities and deep industry expertise.

Industry Partner of the Year for Financial Services

Global Winner: Accenture
North America Winner: Kelant
EMEA Winner: GFT
Award-winning partners have the AWS Financial Services competency to deliver cloud-based offerings that help accelerate innovation for banks, insurers, capital markets firms, and payment processors of all sizes.

Industry Partner of the Year for Health Care and Life Sciences

Global Winner: Next
North America Winner: CitiusTech
EMEA Winner: Deloitte
The award recognizes AWS partners with healthcare or life sciences qualifications who deliver innovative mission-based wins for healthcare customers.

Industry Partner of the Year for Retail

Global Winner: Cognizant
North America Winner: Slalom
EMEA Winner: Monday.com
The award recognizes AWS Retail qualified partners who deliver innovative offerings that accelerate retailers’ modernization and innovation journey across all areas of the enterprise.

Industry Partner of the Year for Travel and Hospitality

Global Winner: Mphasis
North America Winner: Slalom
EMEA Winner: Capgemini
It recognizes top partners with the AWS Travel & Hospitality qualification who deliver products and services to accelerate the industry’s modernization and innovation journey, from behind-the-scenes operational efficiencies to guest-facing customer experiences.

Rising Star Partner of the Year for Consulting

North America Winner: Zeb
North America Finalists: Incedo, Applify
EMEA Winner: Cognitix Consulting
EMEA Finalists: Cronos NV, Cucoon
The Rising Star Award honors top partners who have seen significant growth in their business year-on-year.

CDW acquires Mission Cloud Services

Simon Anderson, Founder and CEO of Mission Cloud, says, ‘As an AWS Premier Tier Partner, we are excited to help CDW’s broad customer network accelerate adoption and build on AWS and optimize their technology investments and AI-driven innovation. Are strategically deployed for.

IT solutions provider heavyweight CDW on Monday said it has acquired Mission Cloud Services to expand its partnership with Amazon Web Services.
With acquisition, CDW moves to 5th position CRN 2024 Solution Provider 500And Mission Cloud Services, ranked 108th, will complement CDW Digital Velocity, the company’s cloud, data, AI and software platform engineering organization.
CDW said Mission Cloud Services and CDW’s existing expertise will combine to form CDW’s dedicated AWS practice.
[Related: Panelists Offer Tips For MSPs Eyeing A Sale Of Their Business]
CDW was not able to provide further information on the transaction in response to CRN inquiries.
The CDW Digital Velocity business currently provides services around automated infrastructure, practical DevOps, modern cloud, software and enterprise architecture, agile team integration and rapid resourcing of essential talent.
Mission Cloud Services, founded seven years ago, provides SMB and midmarket AWS customers with custom solutions and guidance for professional services, end-to-end cloud services, and security. CDW said the company is also an AWS-certified GenAI partner, helping its customers transform customer data with AI and machine learning with comprehensive security for AWS environments.
No dollar value was provided for the acquisition.
Until its acquisition by CDW, Mission Cloud Services was owned by Great Hill Partners, a Boston-based private equity firm that has raised commitments of more than $12 billion and invested in more than 100 companies.
Great Hill Partners first invested in Mission Cloud Services in 2017, and acquired three other IT firms over the next two years, creating what the private equity company called “the largest independent AWS managed services company in the United States” in a statement .
CDW President and CEO Christine Leahy Mission Cloud Services will accelerate CDW’s own cloud services business, it said in a prepared statement.
“The acquisition of Mission accelerates our three-part growth strategy by enhancing our cloud services and enhancing our ability to deliver customer-centric results across the entire technology solution stack and lifecycle. We look forward to welcoming the talented Mission team to CDW and leveraging their strong cloud, security and AI expertise to lead the market and fulfill our purpose – to put technology to work so people can do great work .
Becoming part of CDW is an important part of growing Mission Cloud Services’ dedicated AWS practice, Simon Anderson, president, founder and CEO of the Los Angeles area-based company (pictured above), said in a prepared statement: “As AWS’s premier Tier Partner, we are strategically positioned to help CDW’s broad customer network accelerate adoption and build on AWS and optimize their technology investments and AI-driven innovation.

Couchbase accelerates AI agentic application development with new database services

Adding AI services to the company’s Capella cloud database and development platform will give developers more control over data, development workflows, and AI models.

Couchbase is adding new artificial intelligence capabilities to its Capella cloud database that the company says will streamline the development of agentic AI applications.
According to Couchbase, the new Capella AI services unveiled on Monday provide developers with simplified data integration workflows and greater control over data throughout the development lifecycle, including putting agentic applications into production.
AI services help developers reduce data security and privacy risks by bringing together data and large language models – including LLMs that run outside the organization.
[Related: Meeting The Exploding Demand For Data: The 2024 CRN Big Data 100]
With the new Capella AI services, couchbaseBased in Santa Clara, California, seeks to provide the data management capabilities needed for the growing wave aye and development of generic AI applications.
“This release is all about our offering, which is really targeted at developers building AI and agentic or multi-agentic applications,” Matt McDonough, Couchbase’s senior vice president of product and partners, said in an interview. crn“There is a lot of excitement around AI agents, but the industry as a whole lacks well-defined best practices for building and deploying these agentic applications.”
New AI services come along the lines of Couchbase September announcement Capella Database-as-a-Service features expanded columnar and vector search functionality to develop next-generation adaptive applications – including AI functionalities. Capella is based on Couchbase’s NoSQL database server.
“The key is [to] Make it easier for developers to build, test and deploy AI agents without having to use separate platforms, McDonough said. “And do it in a way that reduces latency, operating costs [and] Putting models and data together as part of this entire agentic AI software development life cycle.
According to the executive, the new AI services are also an enabler for retrieval-enhanced generation workflows that move proprietary data into LLMs.
New AI services include model hosting, automated vectorization, unstructured data preprocessing, and AI agent catalog services – all of which allow developers to prototype, build, test, and deploy AI agents. According to Couchbase, in addition to putting models and data together, the services help organizations reduce development complexity, avoiding the additional latency and higher operating costs often experienced when introducing new technology components and workflows.
“AI’s greatest strength is its ability to process unstructured data,” McDonough said. AI agents can take unstructured information, such as a transcription of a meeting, and autonomously incorporate it into operational applications and workflows. But AI agents need flexible databases with the ability to work with complex data types and unstructured data – such as PDF documents and audio files – to be effective.
Couchbase ISV and systems integrator partners will particularly benefit from the new AI services, McDonough said. ISV partners who develop their applications on the Capella platform can better meet customer requests to add AI agent capabilities to those applications. He said global and regional systems integrators can use the new functionality to expand the range of development services they can provide to their customers.
New Capella AI services include:

  • Model services that provide managed endpoints for leading LLM and embedding models, and capabilities such as prompt and conversation caching, railing, and keyword filtering to support RAG and agentic workflows.
  • Unstructured data services that extract, clean, segment, and convert unstructured documents to JSON, preparing them for vectorization. It also extracts structured information from complex documents and makes it queryable in Capella.
  • Vectorization services that automate vectorization and indexing of data stored in Capella.
  • AI Agent Catalog services that accelerate agentic application development by providing a central repository for metadata, prompt, and audit information, tools for LLM flow, traceability, and governance.
  • Capella AI functions that enable AI-powered data analysis directly into application workflows using familiar SQL++ syntax.

The AI ​​services are currently in private preview and are expected to be generally available as part of the Capella Cloud Database in 2025.

Microsoft’s Windows 10 end could usher in new AI PC spending

‘Once you get your hands on a new PC or laptop and you see how much faster it is than what you’re currently using, it can change your mind very quickly,’ says Luis Alvarez, CEO of Alvarez Technology Group. Gives.’

The emerging market of Artificial Intelligence PCs could get an additional boost from Microsoft solution providers moving their customers to Windows 11 in 2025, with the end of support date for Windows 10 set for October 14.
Luis Alvarez, CEO of Salinas, Calif.-based Microsoft partner Alvarez Technology Group, a member Regarding CRN’s 2024 MSP 500, he told CRN in an interview that they started talking to customers earlier this year to give them more than 18 months to budget for a PC refresh.
Alvarez leans toward the benefits of AI PCs for security, battery life, memory and processor speed — not necessarily AI applications — as well as the slowdown of PC customers for more than five years.
“Once you get your hands on a new PC or laptop and you see how much faster it is than what you’re currently using, it changes minds very quickly,” he said.
[RELATED: Microsoft CEO: AI Provides ‘On-Ramp’ To Azure Data Services, Copilot Continues To Surge]

Microsoft Windows 10 End of Life

At this time, customers can continue to pay for Microsoft’s Extended Security Update Program to keep Windows 10 until October 10, 2028.
A November report from Bank of America said 36 million to 54 million commercial PCs should be upgraded between 2025 and 2028 due to Windows 11, with AI PC security enhancements a driver.
Morgan Stanley said in a November report that it estimates PC shipments will grow 4 percent year over year in 2025 due to refresh demand, Windows 10 end of life and AI PC launches.
Even customers who are not impacted by the AI ​​era today may invest in purchasing an AI PC as their next device as AI use cases become more prevalent.
“It’s extremely important for customers to work with the partners they work with to ensure that their “They are future-proofing their assets.” , “Windows 11 PCs are the most secure, highest-performing AI-enabled devices on the market.”
During Microsoft’s Ignite 2024 event in November, several company executives highlighted ways solution providers can motivate customers to invest in AI PCs. Some of the more popular AI use cases include leveraging the neural processing unit on an AI PC for language translation during meetings, “click to do” ability to quickly perform an Internet search on an element on the screen, local generator AI image creation Is. Improved video effects and noise reduction during network connections and video meetings.
Mark Linton, Microsoft’s vice president of worldwide device partner solutions sales, said during the event that although the average selling price of an AI PC is more than $1,000, less expensive models will help sell to new users. According to Microsoft, Windows 11 has a 250 percent return on investment and features 50 percent faster workflow compared to Windows 10.
Linton called the PC refresh “a major opportunity for our channel and our partners and customers.”
“Most of our solution provider partners have now brought AI practices with their device sales organization because it’s a huge, huge opportunity there that we can leverage together,” he said.
Yan Calves, Microsoft’s vice president of partner sales marketing and operations, said during Ignite 2024 that solution providers will see “the largest Windows refresh ever,” adding that “dozens of millions of PCs in the business sector are still on Windows 10.” He said channel partners can generate seven times the economic value from device sales by providing services.
“Every device you refresh or secure is a platform or socket to add additional services,” Calvez said. “We want to do so much more with you. We want to partner with you to co-develop value-added AI services that you can monetize.
Only 10 percent of small and medium-sized businesses, which typically use solution providers, are aware of the end of support for Windows 10. But 65 percent of them will upgrade to Windows 11 when notified, Calvez said.
He estimated that the average Windows migration time for enterprise customers is 15 months, creating an urgent need for a PC refresh. He also said that Microsoft is firmly committed to the October date to end support.
Calves said additional content that solution providers can take advantage of this refresh cycle include:

  • A customer trend targeting tool
  • A “Powers of Me” marketing campaign
  • In-product marketing to inform SMBs about upcoming end of support
  • More partner programs with workshops and proofs of concept
  • strategic fresh investment
  • More technical resources for customers with complex needs

Solution providers assist with refresh cycle

Mike Monahon, vice president of advanced technology and CTO at Fort Mill, SC-based CompuCom. number 59 On CRN’s 2024 Solution Provider 500, he told CRN in an interview that “a perfect storm” is coming for some customers motivated to open their wallets by new hardware, new processors and new Windows.
Monahon estimated that about 25 percent of new PC purchases in 2025 will have AI. “You’ll probably start evaluating teams that can immediately benefit from an upgrade to an AI PC,” he said. “The IT department, the data analytics people. Those who have real demand will move to Windows 11 with AI PCs.
Customers without the need for an AI PC will likely upgrade to Windows 11 and add memory to the device to save money. The mix of AI PCs and traditional PCs will make device management even more important for solution providers, and for Compucom, it is betting on its Full Lifecycle Observation (FLO) framework as a differentiator in the channel.
“FLO data will tell us who needs what, where, why,” Monahon said. “Can we potentially extend the life of your laptop? We do the full life cycle of tech sourcing. This gives us the opportunity to take old systems, clean them up, re-image them, put them back in stock. …We’re not just reselling net-new PCs. We’re really creating value for our customers by using data.”
Wayne Roy, CEO of New York-based Microsoft partner Troinate, believes the AI ​​PC trend is more likely to happen in 2026 than 2025. For him, he likes to separate customer conversations around OS upgrades, AI application adoption, and AI PC adoption.
Still, Windows 11 conversations are a good time to lay the groundwork for future AI adoption, Roy said. He expects customers in areas like data analytics to be the first to adopt AI PCs.
“It’s like a building block,” Roy said. “Now you are putting [down the foundation] To be able to put your roof on the house.”
Alvarez Technology Group’s Alvarez said he has seen a lot of interest in AI PCs from customers who have quickly adopted Microsoft AI products like Copilot. The similar experience of using Windows 10 and Windows 11 will help motivate customers to upgrade so they don’t feel like they have to spend a lot of time learning something new, he said. According to Microsoft, Windows 11 has 99.7 percent compatibility with Windows 10 applications.
Alvarez said, even without PC refresh cycle times, OS upgrades are a good time for his business because particularly complex customer IT estates can take him a few days and additional billable hours. Sometimes with his larger clients, he also works into negotiations about potentially upgrading the Microsoft license to gain access to more applications.
However a November Bank of America report warned commercial customers who “put off upgrading to hardware that supports Windows 11 in the short to medium term to upgrade when AI PCs become more mainstream in the long term” ,” Alvarez stressed, seeing solution providers as a key to encouraging upgrades and deterring small businesses from trying to buy consumer-grade laptops online.
“It’s not worth the trouble,” Alvarez said he tells customers who try to get hold of an old device. “Just go ahead and invest in a new PC.”

CRN’s 2024 Products Of The Year

CRN staff compiled the top partner-friendly products that launched or were significantly enhanced over the past year and then turned to solution providers to choose this year’s winners.

And The Trophies Go To…
The CRN 2024 Products of the Year awards honor the leading partner-friendly IT products as selected by the solution providers that develop solutions and services around these products and bring them to their customers.
CRN editors selected finalists in 30 technology categories from products that were newly launched or updated between September 2023 and September 2024. The categories range from mainstay channel products in enterprise networking, enterprise storage and SD-WAN to products in newer technology areas such as application performance/observability, artificial intelligence architecture and AI PCs.
We then asked solution providers to rate the products based on three subcategories: technology, revenue and profit, and customer need. Products with the highest overall score (the average of the three subcategory scores) in each product category was named the winner.
What follows are the winners, subcategory winners and finalists for 2024.

Application Performance and Observability
Winner Overall: IBM Instana Observability
IBM Instana Observability automatically discovers, maps and monitors all services and infrastructure components, providing complete visibility across an application stack. It continuously captures every trace, detects changes in real-time, and provides detailed insights to automate root cause detection and problem resolution. Instana’s approach to observability includes built-in automation, application and infrastructure context, and AI-powered intelligent actions.
IBM Instana Observability scored highest overall in this product category and highest for revenue and profit and for customer need.
Subcategory Winner – Technology: Dynatrace Unified Observability Platform
Finalist: Datadog Observability Platform
Finalist: Grafana 11
Finalist: New Relic Observability Platform
Finalist: Splunk Observability Cloud

Artificial Intelligence: AI PCs
Winner Overall: Acer TravelMate P4 14
The Acer TravelMate P4 14 laptop for business professionals is an AI-ready business laptop with Microsoft Copilot, TravelMate Sense, and PurifiedVoice with AI Noise Reduction. The product harnesses the power of the Intel Core processor with built-in vPro Essentials hardware security and Intel Unison phone integration capabilities.
The Acer TravelMate P4 14 scored highest overall in this product category and highest for technology and for revenue and profit.
Subcategory Winner – Customer Need: HP EliteBook 1040 G11
Finalist: Apple MacBook Pro
Finalist: Dell Latitude 7455
Finalist: Lenovo ThinkPad 14S Gen 6
Finalist: Samsung Galaxy Book4 Pro

Artificial Intelligence: Infrastructure
Winner Overall: Supermicro AS-4125GS-TNHR2-LCC
The Supermicro AS-4125GS-TNHR2-LCC is designed for large-scale and cloud-scale compute tasks in AI, high performance computing, AI/deep learning, and deep learning/AI/ML development. The rackmount, liquid-cooled server runs on Nvidia H100 GPU processors.
The Supermicro AS-4125GS-TNHR2-LCC scored highest overall in this product category and highest for revenue and profit and for customer need.
Subcategory Winner – Technology: Dell PowerEdge R760xa
Finalist: Lenovo ThinkSystem SR780a V3

Artificial Intelligence: Productivity Suites
Winner Overall: Gemini For Google Workspace
Google Gemini is an AI-powered assistant that helps with a variety of tasks including writing, coding, research, data analysis and design. Gemini is integrated into Gmail, Docs and Sheets.
Gemini for Google Workspace scored highest overall in this product category and highest for technology, revenue and profit, and customer need.
Finalist: Microsoft Copilot

Big Data
Winner Overall: HPE Ezmeral Data Fabric Software
Hewlett Packard Enterprise’s HPE Ezmeral Data Fabric Software is a platform for data-driven analytics, machine learning and AI workloads. It serves as a secure data store and provides file storage, NoSQL database, object storage and event stream capabilities. The product reduces data silos with a unified data lakehouse, and centrally manages and governs data while accessing it directly where it resides.
HPE Ezmeral Data Fabric Software scored highest overall in this product category, highest for revenue and profit and for customer need.
Subcategory Winner – Technology: Cloudera Open Data Lakehouse
Finalist: Databricks Data Intelligence Platform
Finalist: Microsoft Intelligent Data Platform
Finalist: Snowflake Data Cloud
Finalist: Starburst Galaxy

Business Applications
Winner Overall: SAP S/4HANA
S/4HANA is SAP’s flagship ERP (enterprise resource planning) business application suite that provides finance, accounting, procurement, supply chain, production and employee management capabilities. The software uses AI and machine learning to analyze operational data and automate routine business tasks.
SAP S/4HANA scored highest overall in this product category and highest for technology, revenue and profit, and customer need.
Finalist: Epicor ERP
Finalist: Oracle NetSuite
Finalist: Microsoft Dynamics 365
Finalist: Sage Intacct

Business Intelligence and Data Analytics
Winner Overall: MicroStrategy ONE
MicroStrategy ONE is a cloud-based, AI-powered business intelligence system that turns raw data into actionable insights. The software provides an array of role-based analytical capabilities and offers no-code, low-code and pro-code options for infusing analytics into business operations.
MicroStrategy ONE scored highest overall in this product category and highest for revenue and profit. It tied with the highest scores for customer need.
Subcategory Winner – Technology: Amazon Redshift
Subcategory Winner – Customer Need: Domo Data Experience Platform (tie)
Finalist: Google Cloud BigQuery
Finalist: Qlik Sense
Finalist: Salesforce Tableau

Data Protection, Management and Resiliency
Winner Overall: Veeam Data Platform
Veeam Data Platform data protection and management software is used by businesses to protect, backup, recover and manage their data across on-premises, hybrid and multi-cloud environments. The system protects data across a range of physical servers, cloud instances, applications and virtual machines.
Veeam Data Platform scored highest overall in this product category and highest for technology, revenue and profit, and customer need.
Finalist: Cohesity Data Cloud
Finalist: Commvault Cloud Powered by Metallic AI
Finalist: Dell PowerProtect Data Manager Appliance
Finalist: HYCU R-Cloud
Finalist: Rubrik Security Cloud

Edge Computing/Internet of Things
Winner Overall: Scale Computing Autonomous Infrastructure Management Engine (AIME)
Scale Computing AIME provides the AI orchestration and management functionality within SC//HyperCore and significantly reduces the effort required to deploy, secure, manage and maintain IT infrastructure – including edge computing and IoT systems.
Scale Computing AIME scored highest overall in this product category and highest for revenue and profit and for customer need.
Subcategory Winner – Technology: Red Hat Device Edge
Finalist: Eaton iCube
Finalist: HPE Edgeline
Finalist: IBM Edge Application Manager
Finalist: Schneider Electric EcoStruxure Micro Data Center R-Series

Hybrid Cloud Infrastructure
Winner Overall: NetApp Hybrid Cloud
NetApp Hybrid Cloud combines public and private clouds, on-premises data centers and edge locations to run distributed workloads including web and content hosting, application development, data analytics and containerized applications.
NetApp Hybrid Cloud scored highest overall in this product category and highest for revenue and profit and for customer need.
Subcategory Winner – Technology: IBM Hybrid Cloud
Finalist: Dell Technologies Apex Hybrid Cloud
Finalist: HPE GreenLake
Finalist: Nutanix Hybrid Multicloud
Finalist: VMware Cloud Foundation

MSP Platforms
Winner Overall: Kaseya 365
Kaseya 365 is a subscription-based service for MSPs that provides the core functions needed to manage, secure, backup and automate endpoint devices. The company recently introduced Kaseya 365 User to protect user data and identities in Microsoft 365 and Google Workspace environments.
Kaseya 365 scored highest overall in this product category and highest for revenue and profit and for customer need.
Subcategory Winner – Technology: N-able Cloud Commander
Finalist: Atera
Finalist: ConnectWise Asio Platform
Finalist: HaloPSA
Finalist: Syncro Platform

Networking – Enterprise
Winner Overall: Cisco Networking Cloud
Cisco Networking Cloud is Cisco’s AI-native platform built for the global area network that provides unified management, automation, and operational simplicity and security by converging and connecting fragmented on-premises and cloud networks.
Cisco Networking Cloud scored highest overall in this product category and highest for technology, revenue and profit, and customer need.
Finalist: HPE Aruba Networking Enterprise Private 5G
Finalist: Juniper AI-Native Networking Platform
Finalist: Nile NaaS
Finalist: Prosimo AI Suite for Multi-Cloud Networking

Networking – Wireless
Winner Overall: HPE Aruba Networking Wi-Fi 7 Access Point
HPE Aruba Networking Wi-Fi 7 access point networking devices provide AI-ready, high-performance and secure connectivity for enterprise applications, edge IT and IoT devices. HPE Aruba says the Wi-Fi 7 access points provide up to 30 percent more capacity for wireless traffic than competing products.
HPE Aruba Networking Wi-Fi 7 access point scored highest overall in this product category and highest for technology, revenue and profit, and customer need.
Finalist: Extreme Networks AP5020 universal Wi-Fi 7 access point
Finalist: Fortinet FortiAP 441K Wi-Fi 7 access point
Finalist: Zyxel Wi-Fi 7 access point

Power Protection and Management
Winner Overall: Eaton 9PX 6kVA Lithium-Ion UPS
Eaton touts the 9PX 6kVA Lithium-Ion UPS as ideal for enterprise IT, edge deployment and light industrial applications. It features remote firmware upgrades and integration with leading hyperconverged infrastructure and virtualization platforms.
The Eaton 9PX 6kVA Lithium-Ion UPS scored highest overall in this product category and highest for revenue and profit and for customer need.
Subcategory Winner – Technology: Vertiv Liebert GXT5 Lithium-Ion UPS
Finalist: CyberPower PFC Sinewave 1U UPS
Finalist: Schneider Electric Easy UPS 3-Phase 3M Advanced

Processors – CPUs
Winner Overall: Intel Core Ultra Series
Intel describes its Core Ultra processors as its premier processor line for desktop systems and mobile devices for enabling AI experiences such as copilots, productivity assistants, text and image creation, and collaboration.
Intel Core Ultra Series scored highest overall in this product category and highest for customer need.
Subcategory Winner – Technology: Apple M3
Subcategory Winner – Revenue and Profit: AMD Ryzen Pro 8040 Series
Finalist: AmpereOne
Finalist: Qualcomm Snapdragon X Elite

Processors – GPUs
Winner Overall: Nvidia H200
With its higher performance and expanded memory bandwidth and capacity, Nvidia’s H200 Tensor Core GPU is a popular processor for GenAI and high-performance computing workloads. Nvidia says the H200 also offers improved energy efficiency and lower TCO than the earlier H100.
The Nvidia H200 scored highest overall in this product category and highest for technology, revenue and profit, and customer need.
Finalist: AMD Instinct MI300X
Finalist: Intel ARC A570M

Public Cloud Platforms
Winner Overall: Microsoft Azure
Microsoft Azure is one of the industry’s leading cloud platforms that provide services for building, running and managing cloud applications. The platform’s wide range of services include compute, storage, analytics and networking capabilities.
Microsoft Azure scored highest overall in this product category and highest for technology and customer need.
Subcategory Winner – Revenue and Profit: Oracle Cloud Infrastructure (OCI)
Finalist: Amazon Web Services
Finalist: CoreWeave Cloud
Finalist: Google Cloud Platform
Finalist: Snowflake Data Cloud

SD-WAN
Winner Overall: HPE Aruba EdgeConnect SD-WAN
HPE Aruba EdgeConnect SD-WAN is a software-as-a-service wide area network that provides secure connectivity and data access for hybrid work environments. Features include secure access service (SASE), a single management interface for observing and controlling the WAN and SASE, real-time monitoring and virtual WAN capabilities.
HPE Aruba EdgeConnect SD-WAN scored highest overall in this product category and highest for revenue and profit.
Subcategory Winner – Technology, Customer Need: Extreme Networks Extreme Cloud SD-WAN
Finalist: Cisco Catalyst SD-WAN
Finalist: Fortinet Secure SD-WAN
Finalist: Palo Alto Networks Prisma SD-WAN
Finalist: Zscaler Zero Trust SD-WAN

Security – Cloud and Application Security
Winner Overall: SentinelOne Singularity Cloud Security
SentinelOne Singularity Cloud Security provides cloud security, threat detection and response for servers, virtual machines and containers. Part of SentinelOne’s Singularity platform, Singularity Cloud Security works across private and public clouds, including AWS, Azure and Google Cloud Platform.
SentinelOne Singularity Cloud Security scored highest overall in this product category and highest for technology and customer need.
Subcategory Winner – Revenue and Profit: Palo Alto Networks Prisma Cloud
Finalist: CrowdStrike Falcon Cloud Security
Finalist: F5 Distributed Cloud Services Web Application Scanning
Finalist: Orca Cloud Security Platform
Finalist: Tenable Cloud Security
Finalist: Wiz Cloud Security Platform

Security – Data
Winner Overall: IBM Guardium Data Protection
IBM Guardium Data Protection protects sensitive data in the cloud and in on-premises systems. GDP automatically discovers and classifies sensitive data across an enterprise and provides data activity monitoring and analytics, near real-time threat response workflows, and automated compliance auditing and reporting.
IBM Guardium Data Protection scored highest overall in this product category and highest for revenue and profit.
Subcategory Winner – Technology, Customer Need: Zscaler Data Protection
Finalist: ForcePoint ONE Data Security
Finalist: Proofpoint Information Protection
Finalist: Rubrik Security Cloud
Finalist: Wiz DSPM

Security – Email and Web Security
Winner Overall: Mimecast Advanced Email Security
Mimecast Advanced Email Security is a comprehensive, cloud-based email security system that guards email from a range of cyberattacks including spam, viruses and malware. Capabilities include threat intelligence and protection, data leak prevention and secure messaging.
Mimecast Advanced Email Security scored highest overall in this product category and highest for revenue and profit.
Subcategory Winner – Technology, Customer Need: Cloudflare Application Security
Finalist: Abnormal Security Platform
Finalist: Akamai API Security
Finalist: Barracuda Email Protection
Finalist: Proofpoint Threat Protection

Security – Endpoint Protection
Winner Overall: Sophos Intercept X
Sophos Intercept X takes a comprehensive, prevention-first approach to security that Sophos says blocks threats without relying on any single technique. Intercept X provides endpoint detection and response cybersecurity using a wide range of tactics to stop ransomware, breaches, data loss and other advanced threats from impacting end users.
Sophos Intercept X scored highest overall in this product category and highest for technology and customer need.
Subcategory Winner – Revenue and Profit: CrowdStrike Falcon Insight XDR
Finalist: Huntress Managed EDR
Finalist: SentinelOne Singularity XDR
Finalist: ThreatLocker Protect
Finalist: Trend Micro Trend Vision One

Security – Identity and Access Management
Winner Overall: CyberArk Workforce Identity
CyberArk Workforce Identity is a SaaS-delivered system to simplify identity and access management across enterprise systems. The product provide unified workforce and B2B access and identity management within a single offering.
CyberArk Workforce Identity scored highest overall in this product category and highest for technology, revenue and profit, and customer need.
Finalist: Ping Identity PingOne for Workforce
Finalist: Okta Workforce Identity Cloud
Finalist: Microsoft Entra ID
Finalist: OpenText NetIQ Identity Manager
Finalist: SailPoint Identity Security Cloud

Security – Managed Detection and Response
Winner Overall: Huntress Managed Identity Threat Detection and Response
With Huntress Managed Identity Threat Detection and Response (ITDR), formerly MDR for Microsoft 365, Huntress threat experts monitor and respond in real time to critical security threats such as suspicious login activity, privilege escalation attempts, and email tampering and forwarding.
Huntress Managed Identity Threat Detection and Response scored highest overall in this product category.
Subcategory Winner – Technology: SentinelOne Singularity MDR
Subcategory Winner – Revenue and Profit: Sophos MDR
Subcategory Winner – Customer Need: Arctic Wolf MDR
Finalist: CrowdStrike Falcon Complete Next-Gen MDR
Finalist: ThreatLocker Cyber Hero MDR

Security – Network
Winner Overall: Cisco Hypershield
Cisco Hypershield is a distributed security architecture that protects networks, applications and workloads in data centers and cloud environments. Hypershield features an AI-native rules engine, autonomous segmentation and distributed exploit protection.
Cisco Hypershield scored highest overall in this product category and highest for technology.
Subcategory Winner – Revenue and Profit: Fortinet FortiGate (tie)
Subcategory Winner – Revenue and Profit: SonicWall Cloud Secure Edge (tie)
Subcategory Winner – Customer Need: Fortinet FortiGate
Finalist: Sophos XGS Firewall
Finalist: ThreatLocker CyberHero MDR
Finalist: WatchGuard ThreatSync+ NDR

Security – Security Operations Platform
Winner Overall: Arctic Wolf Security Operations
Arctic Wolf Security Operations, renamed Arctic Wolf Aurora Platform in November 2024, is built on an open XDR architecture and is a cloud-based platform that offers a range of services to protect against cyberthreats including managed detection and response, incident response, threat intelligence, managed risk, managed security awareness and a security operations warranty.
It scored highest overall in this product category and highest for technology, revenue and profit, and customer need.
Finalist: CrowdStrike Falcon Next-Gen SIEM
Finalist: Google Security Operations
Finalist: Microsoft Sentinel
Finalist: Palo Alto Networks Cortex XSIAM 2.0
Finalist: Splunk Enterprise Security

Security – Security Access Service Edge
Winner Overall: Palo Alto Networks Prisma SASE
Palo Alto Networks describes Prisma SASE as a complete AI-powered SASE solution that combines network security, SD-WAN and autonomous digital experience management in a single service. It incorporates the Zero Trust Network Access 2.0 architecture.
Palo Alto Networks Prisma SASE scored highest overall in this product category and highest for technology.
Subcategory Winner – Revenue and Profit: Zscaler Zero Trust SASE
Subcategory Winner – Customer Need: Fortinet FortiSASE
Finalist: Cato SASE Cloud Platform
Finalist: Cisco Secure Access
Finalist: Netskope One SASE

Storage – Enterprise
Winner Overall: NetApp AFF C-Series
The NetApp AFF C-Series storage array platform offers all-flash storage for data centers. The product is designed to provide economical, high-density storage for tier 1 and tier 2 data center workloads and to unify storage environments.
NetApp AFF C-Series scored highest overall in this product category and highest for technology and customer need.
Subcategory Winner – Revenue and Profit: Pure Storage FlashArray//E
Finalist: Dell PowerStore
Finalist: HPE Alletra Storage MP
Finalist: Infinidat SSA Express
Finalist: Quantum ActiveScale Z200 Object Storage

Storage – Software-Defined
Winner Overall: Pure Storage Purity
Pure Storage Purity software unifies, manages and protects data in data centers, the cloud or at the edge. Capabilities include data management (including AI-driven array operations, monitoring, analysis and optimization), data replication, data mobility, data reduction, data encryption, disaster recovery and high availability.
Pure Storage Purity scored highest overall in this product category and highest for technology, revenue and profit, and customer need.
Finalist: DDN Infinia
Finalist: Dell PowerFlex
Finalist: HPE GreenLake for Block Storage
Finalist: IBM Software-Defined Storage

Unified Communications and Collaboration
Winner Overall: RingCentral RingCX
RingCentral RingCX is an AI-powered, omnichannel contact center system that combines voice, video and more than 20 digital channels in a single platform. Capabilities include intelligent virtual agent integration, analytics and reports, outbound dialing and agent scripting.
RingCentral RingCX scored highest overall in this product category and highest for technology and customer need.
Subcategory Winner – Revenue and Profit: Intermedia Unite
Finalist: Cisco Webex
Finalist: Microsoft Teams
Finalist: Nextiva Unified Customer Experience Platform

AWS CEO Matt Garman: Partners Are Our ‘Co-Inventors’

Matt Garman’s channel charge is in high gear as he aligns internal sales teams with partners, drives new partner business through the AWS Marketplace and accelerates joint innovation to boost GenAI adoption.

Matt Garman’s message is loud and clear: Amazon Web Services partners need to be attached to every customer account if the $110 billion cloud giant wants to remain a dominant force in the AI era.
“I’m encouraging every single one of our accounts to make sure that partners are attached to almost every single thing that we do,” said AWS’ new CEO. “So that is a message heard loud and clear across our field and is the message that I will continue to push on our field—that every single opportunity should have a partner attached to it in some way, shape or form.”
Garman has been on a channel charge ever since stepping into the CEO role in June after 18 years of working in top executive positions in nearly every crucial AWS department. That experience gives him deep insight into the entire company inside and out—from being at the table with customers to understanding how the channel drives scale.
[RELATED: CEO Matt Garman: Why Partners Are Picking AWS Vs. Microsoft And Google Cloud]
“Partners are an incredibly important relationship for us and for our customers because we know that at the scale that we’re trying to grow and the scale that we’re trying to help our customers modernize, we don’t have enough humans in order to do that,” said Garman. “We want to build great software services and cloud services, but we need those partners to help go and actually make that happen all around the world.”
Partners are cheering Garman’s channel investments—such as signing dozens of heavily funded Strategic Collaboration Agreements with partners and creating an AI innovation center full of solution provider IP—along with his bold strategy to align AWS’ internal sales teams with the channel more than ever before.
With Garman saying he views partners now as “co-inventors with us,” many of the largest solution providers in the world are placing big bets on the Seattle-based company.
Global IT powerhouse Presidio believes Garman will elevate channel sales to the next level thanks to his partnering mindset and being “one of the most technological CEOs” in the industry, said Chris Cagnazzi, chief innovation officer at New York-based Presidio. For example, one top channel priority for Garman this year is driving partner sales via the AWS Marketplace, which generated $400 million in revenue for Presidio in 2024.
“Because of Matt’s diverse background and how he’s grown within AWS—and the fact that he understands technology and he understands the challenges around driving outcomes—it’s a huge benefit for AWS and for partners because of the diversity of his viewpoint,” said Cagnazzi. “He can look at a lot of different areas within the business to really say, ‘This is working well. This isn’t working well’ and understand how that impacts the partner.”
From Garman’s roots as an intern working underneath AWS founder and former CEO Andy Jassy in 2005 to climbing the ranks to become senior vice president of sales, marketing and global services, AWS partners believe Garman brings a clear understanding of what customers need and how the push for a partner-centric future will drive success.
“He didn’t just start from the bottom, but he’s gotten his hand dirty working directly with customers,” said Justin Copie, CEO of West Henrietta, N.Y.-based Innovative Solutions.
Copie touts Garman’s channel charge as one of the main reasons why Innovative Solutions has seen a 240 percent spike in AWS sales in 2024 year over year. One key growth driver, Copie said, was a 50 percent increase this year in the number of new customer opportunities that AWS referred to his company.
“[We see] the approach he’s taken already with some of the program rollouts, the big bet that AWS is making around GenAI, and the fact that he sees a vision for AWS to not only be customer-centric but he sees it equally in value that AWS needs to be partner-centric. And not every hyperscaler thinks that way,” Copie said.
Garman said a partner-centric strategy is the only way AWS can truly scale on a worldwide basis, particularly in the AI era.
“Generative AI is going to reshape almost every single industry and every single business,” Garman said. “As we continue to expand globally, we lean more and more on our global and regional channel partners to help us because they’re the ones that oftentimes know the customers best.”

Pushing Partners, AWS Sales Force ‘Closer Together’

Garman has a visionary plan for the channel, and it starts with aligning AWS’ internal sales teams with partners unlike ever before.
Chris Sullivan, AWS’ Americas channel chief, is a driving force behind Garman’s plan.
“In the past, we had great collaboration, but more [like] two strategies than one. It’s an example of Matt’s leadership, where the organizational structure—as well as the way we go to market, the way we plan, the way we enable and drive our business with partners—has moved even closer together,” said Sullivan, vice president of Americas channel and alliances.
As AWS evolves under Garman, Sullivan said, “the role that partners play has become more and more essential” to both AWS and customers.
“We’ve made moves internally to ensure that how we plan and support and drive our go-to-market actions are as inclusive as possible to partners,” Sullivan said. “If you think about our technology strategy and our generative AI strategy, partners are at the core of that strategy. … So partners are now woven into the fabric of everything we do very intentionally, and we couldn’t be more excited about that.”

Making Strategic Partner Investments

Not only is Garman weaving partners into the fabric of AWS, he’s investing large amounts of money into many channel partners by signing Strategic Collaboration Agreements (SCAs).
These deals see AWS pouring tons of money into providing technical resources, go-to-market and proof-of-concept funding, the hiring of new employees, and much more. SCAs are basically a huge shot in the arm for partners to elevate their AWS business to the next level as quickly as possible.
For example, Presidio’s SCA aims to increase its head count and co-innovation with AWS around GenAI. “There are probably 80 people that will get hired, specifically between AWS and Presidio, to focus on reaching the targets we want to get jointly together,” Cagnazzi said. “This is industry-focused, and it’s generative-AI-focused. … We’re developing a lot of really unique things around innovation with AWS right now, especially around generative AI.”
Another channel charge Garman is helping to drive includes the recent launch of the AWS Business Outcomes Xcelerator (BOX) program, which helps partners develop and deliver solutions that meet the demands of line-of-business buyers.
In addition, Garman has revamped AWS’ highly popular Migration Acceleration Program (MAP). The cloud migration program provides partners with various financial incentives and joint go-to-market resources to make customer migration to the AWS cloud as cost-efficient as possible.
AWS partner Mission Cloud said AWS is co-funding the cost of migrating customer workloads to the cloud via MAP, which is boosting profitability and helping the Los Angeles-based company capture net-new customers.
“Prospects know that not only will some of the cost of us doing the migration for them effectively be funded by AWS, but then once the migration is [complete], there will also be a discount that will be applied for a period of time to the consumption of AWS,” said Mission Cloud CEO Simon Anderson. “The combination of those two things really drives a lot of velocity in decisions to do migrations.”
Leveraging MAP and other AWS partner programs has led to millions of dollars in sales and profitable ongoing support services for Mission Cloud.
“There are a lot of AWS financial levers we can pull to really help customers at any stage, whether that’s through instant discounts on their spend when they first join us because we can start optimizing their environment all the way through to when they’re making a big forward commitment through an Enterprise Discount Program [EDP], which is partner-led,” Anderson said.
“The classic journey of a Mission Cloud-type customer is they start with us spending $20,000 to $40,000 per month. Then they scale up into the hundreds of thousands of dollars, and sometimes the millions of dollars a month.”
Over the past several years, AWS sales for Mission Cloud have grown by 10X with “strong double-digit growth” year over year expected in 2024.
“The partnering aspect of AWS right now is second to none,” said Anderson. “Because of things like MAP and our SCA with AWS, we’re able to scale our sales and marketing team more quickly than we’d otherwise be able to because of the support coming from AWS and Matt right now.”
Garman’s Software Services Push To Drive Profitability
Garman believes software services are what partners should be offering if they want to be highly profitable in 2025 and beyond.
With so much co-innovation and co-selling happening at AWS today, Garman sees the lines between channel partners—particularly systems integrators—and ISVs “are blurring.”
“We are definitely seeing some convergence there, where the SIs are seeing themselves as delivering cloud services to customers as well,” said Garman. “If they can build software solutions, which we’re increasingly seeing them do, they can actually then charge much higher margins and get leverage on those customers where they can sell a software solution in addition to implementation.”
Garman is telling the AWS field sellers to lean into partner software and service offerings as much as possible. “I’m talking to the field about how we jointly go after opportunities with partners together. We’re going to be leaning into partner-driven workloads as much as we can,” he said.
Mission Cloud, for its part, created its Mission Control Platform, which simplifies the entire AWS customer experience around cloud optimization, workflows and professional services.
“We’re now a software partner to AWS as well,” Mission Cloud’s CEO said. “That has really enabled us to get even more deeply into the AWS Marketplace and drive opportunities for ourselves.”

Key Master Services Agreements, Sub Services For Partners

Garman’s channel strategy also involves providing partners with new services opportunities via Master Services Agreements (MSAs) that enable AWS teams to contract out services to a partner.
AWS opened the services floodgates for AWS consulting partner Redapt after the Woodinville, Wash.-based company signed an MSA that included the ability for Redapt to provide sub services underneath the umbrella of AWS professional services.
“Our MSA allows us to now sub for [AWS] services and for their customers too,” said Redapt’s Paul Shaffer, executive vice president of business development and partner programs. “Our MSA is important because then the AWS sales organization knows that we can actually do their services on their paper.”
AWS’ Sullivan said the cloud provider’s professional services team handing over services sales to partners is an important strategy. “It allows partners to participate more in the services opportunity with our customers, and it allows AWS to bring some additional business to those partners to ensure that there’s a strong solution for the customer at the end of the day,” he said.
Shaffer said Redapt is generating AWS sub services revenue around advanced analytics, AI, cloud migration, DevOps and machine learning.
The MSA is driving so much momentum for Redapt that the solution provider is potentially eyeing an acquisition of a boutique AWS-focused partner. “We’re interested in that because we want that engineering talent that can come in and build off of our services practice areas around a partner like an AWS,” Shaffer said.
AWS Marketplace: ‘A Super Important Lever’
One major channel initiative where Garman plans to drive software services revenue and new customer wins for partners is via the AWS Marketplace.
“It’s a super important lever for us,” said Garman. “The Marketplace is enabling systems integrators to go sell their solutions to end customers and get all of those benefits that the ISVs are getting with regard to faster billing, easier invoicing, it allows partners to get paid more quickly and consolidates software solutions into the customer’s bill.”
Over the past year, AWS has enhanced its one-stop-shop cloud marketplace to make it easier and more profitable for partners to sell, such as “significantly lowering the fees” associated with partner-originated deals inside the Marketplace, Garman said.
One key reason why Marketplace is so popular is the ability for AWS customers to use cloud credits and use their EDP commitments to purchase channel partner professional services and offerings listed there.
“That’s a very powerful channel for us. We get about 25 percent of our net-new logos now from the AWS Marketplace,” said Mission Cloud’s Anderson.
For Presidio, capturing over $400 million through the Marketplace this year shows just how hungry customers are for channel partner offerings.
“Think of the Marketplace as this platform that we can now help them cost-optimize around their consumption and the services that they’re buying because we’re driving more software licensing and even specific types of managed services or service offerings through the Marketplace that help them retire quota,” said Cagnazzi. “It’s a great channel to be able to complete a customers’ full software life cycle, but do it in a way where you’re also helping them on their goals.”
Garman’s bullish push on Marketplace is also seeing AWS working hand-in-hand with partners to build and sell joint AI solutions on the marketplace.

Garman’s AI Strategy With Partners

AWS is putting its money where its mouth is in terms of driving GenAI via channel partners. The company invested $100 million last year to open its AWS Generative AI Innovation Center with the goal of driving joint AI advancements with partners as well as accelerating GenAI customer adoption.
“We’re now opening that up to deliberately incorporate partners, their value proposition and their capabilities into the Generative AI Innovation Center, and then help partners drive those outcomes with customers,” said Sullivan. “We’re leveraging all of the best practices we’re learning around how to deliver the most effective proofs of concept, how to move from a POC to a production environment for specific workloads, strategic considerations around security compliance and how we deliver outcomes leveraging these technologies—we need partners in the core of that. That’s another example of our services organization incorporating and aligning with partners to deliver for customers.”
AWS’ innovation center is stuffed full of partner technology and solutions. “As we get closer and closer to our partners, we’re at the point where we’re creating IP together at a very high rate in support of customer outcomes,” Sullivan said.
Garman said AWS’ AI road map is to build open platforms that integrate with third-party technologies on which partners can build their own AI offerings. However, to fully reap all the benefits of AI, a customer’s data estate needs to be in order so AI can do its magic. Garman and partners believe this is a massive sales opportunity for the channel.
AI “opens up the aperture [through] which companies are actually going to consider doing big migrations from legacy workloads—whether they’re legacy databases, legacy operating systems, legacy mainframes—into a more modernized workflow,” Garman said. “Partners are going to be able to win many of those workloads and help customers go much faster because the ROI math just works better.”
AWS partner InterVision Systems is winning large deals by migrating customers with vast amounts of unstructured data to the cloud as part of their AI journey. Santa Clara, Calif.-based InterVision is leveraging Amazon Bedrock, Amazon Connect and Amazon SageMaker to make all this possible.
“If you think about all the data that all our customers have inside their buildings, pretty much every answer to every question is somewhere hidden in documentation or in their data,” said Jonathan Lerner, president and CEO of InterVision.
“So we started with a data ingestion engine that we’re taking petabytes of unstructured information into and framing it up into a manageable set of information,” Lerner said. “Then from there, we’re tuning it and tuning it to get to the outcome that the clients need.”
For example, InterVision developed its own Contact-Center-as-a-Service offering, ConnectIV CX, powered by Amazon Connect and augmented with AI to include real-time data management and automation.
“We’re replacing 20- to 30-year-old antiquated, premises-based solutions every day,” said Lerner. “And we’re managing some of the most complex Amazon Connect deployments on the planet right now.”
InterVision said AWS sales “are exploding,” with several AWS markets increasing by “triple digits” over the past three years.
“We view AWS as the best builders on the planet,” said Lerner. “Partners are closest to the customer, and together, that is scale.”

GenAI Platform Strategy Aimed At Partners

To win the AI market-share battle, Garman is building an open GenAI portfolio that lets customers easily build their own GenAI applications on top of it.
“That means, ‘How do we have the broadest set of models—not just a model—but the broadest set of models?’ Some of them are built by us, many of them are built by other companies out there,” Garman said. “So we built this platform in Bedrock and in SageMaker and a bunch of the capabilities that we have inside AWS—including our own custom silicon—as a low-cost model so that customers have the very best in performance and capability.”
Amazon Bedrock enables partners to create AI agents and finetune foundation models for customers, with large language models (LLMs) available from Amazon and third parties like Anthropic, Meta, AI21 Labs, Cohere, Mistral AI and Stability AI.
“We have that platform that really makes it possible for partners to then go build added capabilities on top of that,” Garman said. “We want to enable that broader partner ecosystem to go innovate around us and enhance what we’ve built.”
Mission Cloud is working on “hundreds” of AI solutions that leverage the AWS AI portfolio to help build GenAI applications for customers. Use cases include creating an AI system for improving a company’s entire hiring and job interviewing process, as well as building a GenAI system for a media and entertainment company to translate its libraries of English-speaking documentaries into various languages at lightning speed.
“It was cost-prohibitive to them to do that through traditional translation and dubbing, so we built a whole generative AI system for them. They’ve leveraged a lot of AWS services: Polly, Transcribe, SageMaker, Bedrock and so on,” said Mission Cloud’s Anderson.
In conjunction with AWS, Mission Cloud launched its Mission AI Foundation managed services offering that leverages its cloud services platform along with Amazon QuickSight and Amazon Q to provide detailed cost visualization and management tools for customers.
“Once a customer gets to AWS, they need all sorts of specialized help that’s continuous,” said Anderson. “So with prompt engineering, sustainability, helping them with token usage, helping them with cost optimization around the GenAI workload, etc., AI Foundation is our own, effectively, managed service that delivers all of that and expertise 24×7 for customers.”

AWS ‘Opened The Door For Choice’ For The Channel

AWS’ AI strategy “opened the door for choice” when it comes to GenAI, said Innovative Solutions’ Copie. This strategy enabled the solution provider’s GenAI business to grow an unprecedented 1,900 percent in 2024.
“They didn’t come out with a set of services and say, ‘Well, if you do this, you’re now locked into AWS.’ They actually took the opposite approach. They said, ‘Listen, we put something out there called Bedrock, which is like a garden of LLM models. Customers, you choose the model or models that you want to use. And by the way, if you need third-party tools for things like cost optimization or security, you can bolt those things on together. You don’t have to use native products or services from AWS to do that,’” said Copie. “That fundamentally has accelerated so many customers that we’ve worked with in the space because they want choice.”
Innovative Solutions and AWS have worked on dozens of successful GenAI implementations this year. One that stands out is with health-care technology startup Healthmetryx, which needed to build an IoT device to facilitate early detection and prevention of diseases.
“Basically, you blow and breathe into the Healthmetryx device called Clarinet, and based on a number of machine learning models and a ton of GenAI that’s built into the solution that we’ve helped build, they can do early detection of respiratory illness, infection or disease,” said Copie.
Innovative Solutions built the software on Amazon Bedrock and IBM watsonx Assistant technology and implemented AI technology that now manages all of the data for Healthmetryx.
“You can think of us as really the IT arm for their entire business. They’re stacked with physicians and these Ph.D.s, very smart individuals that understand medicine. What they didn’t have was a really strong technical team to help them and be by their side,” said Copie.
“It’s remarkable because it’s the type of device that not only can save lives but will capture so much data that they’re able to do clinical research with,” he said. “Maybe a new drug can be developed because they have the data accessible now through this IoT device that has very real AWS technology at play.”
Copie touted AWS’ new CEO as the leader who is driving joint AI innovation as well as new customer wins for Innovative Solutions.
“Matt, I believe, single-handedly led to not only the growth of our business this year, but certainly the ecosystem in general,” said Copie.
Garman said he’s approaching AI “with a partner-centric mindset” and with the goal of forming long-lasting channel partnerships.
“We don’t think about, ‘We’re going to partner with you until we replace you.’ We’re thinking about, ‘How do we partner together for the long term, to go work together and grow this business together?’” said Garman. “So when you have that mentality, a lot of things land in the right place.”
For its third quarter of 2024, AWS increased sales 19 percent year over year to $27.5 billion. AWS’ annual run rate is now $110 billion, and the company currently has a leading 31 percent share of the global cloud computing market.

Lessons From Andy Jassy

When Garman decided on AWS for his internship in the summer of 2005, he was wildly interested in working under founder Jassy.
Garman said Jassy has been a “big help in encouraging me to always just think bigger” about what AWS can accomplish.
“One of the things that Andy pushes onto us, within our teams, is to have what seems like unreasonable expectations for what we can accomplish. Because when you have those unreasonable expectations for your teams, a lot of times they actually get very creative and figure out how to actually go accomplish what seemed like something that was impossible that you asked them to do,” said Garman. “And that’s how AWS comes out with incredible innovations and things that surprised the world, and moves at a faster pace than you might otherwise think possible.”
Garman is setting up the chess pieces so that in 2025, partners will be in position to deliver on the company’s AI hopes and overall future.
“If you look at the massive adoption of enterprises where a bunch of these workloads are still running on-premises, or a bunch of AI workloads are going to be integrating themselves into a lot of these legacy industry environments—those are all going to run on the cloud. They’re not going to run on-premises,” said Garman. “So there’s a massive opportunity for all these channel partners to help that meaty middle of the adoption curve of enterprises around the world to move to the cloud. I really believe that we’re just at the early stages of what this business could be—both for us and for our partners.”

Why are partners choosing AWS vs. Microsoft and Google Cloud

Talks with AWS CEO Matt Garman crn That’s why he believes solution providers are placing their cloud and AI bets on AWS over rivals Microsoft and Google Cloud.

CEO Matt Garman He believes Amazon Web Services is winning channel partner mindshare through its cybersecurity posture, generative AI strategy and the opportunity to reach more customers globally than rivals. Microsoft And Google Cloud.
“From the partner’s perspective, they don’t want to deal with poor security or they don’t want to deal with poor operational excellence because it will look bad and it will reflect poorly on them,” Garman said. An interview with CRN.
Garman took the reins of AWS last June. He led the Seattle-based cloud computing unit’s generative AI and overall AI market situation To new heights.
“But GenAI On the front end, if you look at the difference in approaches, some of the other competitors started with their consumer applications first. And then, how do they add generative AI into their cloud products? AWS CEO Said. “We instead said, ‘How can we build a platform on top of which customers can build generic AI applications?’ And that means, ‘How do we have the most comprehensive set of models – not just one model – but the most comprehensive set of models?’
[Related: Microsoft Vs. AWS Vs. Google Cloud Earnings Q3 2024 Face-Off]

AWS Cloud Market Share and $110 Billion Run Rate

For its most recent third quarter 2024, AWS reported record revenue of $27.5 billion, representing 19 percent sales growth year over year. This means that AWS now has an annual run rate of $110 billion.
AWS has been the dominant global cloud computing market share leader for years. Currently, Amazon has 31 percent share of the worldwide enterprise cloud infrastructure services market, followed by Microsoft with 20 percent share and Google Cloud with 12 percent share.
In an interview with CRN, Garman explained why channel partner Rivals are placing their AI and cloud computing bets on AWS compared to Microsoft and google cloud,

Why should partners choose AWS over Microsoft and Google Cloud in the AI ​​era? What is AWS differentiation?
We approach everything with a partner-centric mindset. Our top priority when we go to a customer is, ‘How do we make sure they have good security? And how do we ensure we have operational excellence?’
From the partner’s perspective, they don’t want to deal with poor security or they don’t want to deal with poor operational excellence because it will look bad and it reflects poorly on them. They want to be partnered with someone who actually prioritizes those things.
And this is actually independent of GenAI or not. So one of the main reasons that we see people leaning towards us is because they know that it’s an infrastructure and a security posture that they can trust. If you look at the news out there, that’s not necessarily true for everyone, but it’s something we’re very proud of and we continue to invest heavily in.

What about AWS’s GenAI differentiation compared to Microsoft and Google?
On the GenAI front, if you look at the difference in approaches, some of the other competitors started with their consumer applications first. And then, how do they add generative AI into their cloud products?
We instead said, ‘How do we build a platform on top of which customers can build generic AI applications?’ And that means, ‘How do we have the most comprehensive set of models – not just one model – but the most comprehensive set of models?’
Some of them are made by us, many of them are made by other companies. We also think about the partner and ISV ecosystem to see how we ensure companies can build with the best tools and capabilities available in the market today. We have a platform that really makes it possible for partners to build additional capabilities on top of that.
So when you go to talk to someone like Accenture, they are building on top of Bedrock and building things like security frameworks around Bedrock. Because we give them all the tools and capabilities to easily plug in and build secure AI frameworks around all the tools we give them. We want to enable that broader partner ecosystem to innovate around us and enhance what we’ve built.

Is AWS the most profitable cloud company for a channel partner? How do your programs and margins stack up against Google Cloud and Microsoft?
I can’t talk to other people. But the opportunity for them to build the biggest business is biggest in AWS.
We try to create a program so that there is a fair margin for the partners, but a really big collaboration. So we build the program so that it is a sustainable long-term business for our partners. But we also know that, at the end of the day, it’s the added value it provides to customers that really makes a difference. So this is where we also differentiate.
It’s the breadth of customers who are building the ability to build value-added services on top of AWS, both for the platform and for partners. So these are all those things. It’s not just purely numbers – ‘How much margin do you get on resale?’ Ours is good. We try to make sure it’s highly competitive and important, but it also takes into account all those other things.
Frankly, if partners aren’t adding value – if they’re solely reselling – then they can compete on numbers, and that’s okay. But we’re really focused on where partners can add value and how we can create a great ecosystem for them to do that on top of that. That’s where the end customers really get the value, where it’s not just a pure route of resale, but it’s value-added resale. It is the value added consulting services on top of that and the work on top of that that really makes the difference.
From that perspective, AWS has the largest group of customers ever. We have the largest set of services ever that make it easier to sell those workloads to customers, and the largest global reach ever, operating in different countries around the world.