5 Epic 'Big Tech'-GenAI Collaborations In 2024 (So Far)

Big Tech is pushing GenAI hard and fast.

Samara Lynn
clock • 3 min read
5 Epic 'Big Tech'-GenAI Collaborations In 2024 (So Far)

Generative AI is on everyone's radar. Our recent MES Computing IT Leaders Tech Trends Survey 2024 provides keen insight into mid-market IT decision-makers' roadmaps including their plans for GenAI integration in their organizations.

Among a representative sample of 75 U.S. IT leaders surveyed, collectively, there is attention being paid to GenAI, with a healthy dose of skepticism. 

Forty-three percent of those surveyed said that GenAI was "promising but immature." However, 33 percent are already using the technology in their operations, 19 percent are creating proofs-of-concepts, and 29 percent said they were "looking into" GenAI.

Of course, mid-market leaders with limited budgets, staff and other resources are wise to be judicious about selecting which technology to integrate into their environments. Large enterprises can afford to take more risk. 

For instance, some of the biggest tech companies in the world are making a hard and fast push to integrate GenAI into their products and service offerings as evidenced by several recently announced collaborations:

5 Big Tech-GenAI Collaborations in 2024 

Microsoft-Adobe (March 2024)

At the Adobe Summit conference, Microsoft and Adobe announced a collaboration that integrates Adobe Experience Cloud and Microsoft Copilot. Targeted to marketers, the venture aims to "bring relevant marketing insights and workflows from Adobe Experience Cloud applications and Microsoft Dynamics 365 to Microsoft Copilot, assisting marketers as they work in tools such as Outlook, Microsoft Teams and Word to develop creative briefs, create content, manage content approvals, deliver experiences and more," according to a statement from Microsoft. 

Microsoft executive chairman and CEO, Satya Nadella, promoted the collaboration in a recent X post:

Amazon-Anthropic (March 2024)

Amazon recently announced it has made a $4B investment in AI startup Anthropic

With the partnership, Anthropic is using Amazon Web Services for its workloads and Amazon's AI-powered AWS Trainium and Inferentia chips. Amazon said the partnership's purpose is to help organizations, especially those in highly regulated industries like banking, finance and health care quickly create advanced GenAI solutions. 

"Anthropic's visionary work with generative AI, most recently the introduction of its state-of-the art Claude 3 family of models, combined with Amazon's best-in-class infrastructure like AWS Tranium and managed services like Amazon Bedrock further unlocks exciting opportunities for customers to quickly, securely, and responsibly innovate with generative AI," Dr. Swami Sivasubramanian, vice president of Data and AI at AWS, said in a statement. 

Hewlett Packard Enterprise-Nvidia (March 2024)

HPE teamed up with Nvidia (which has been at the forefront of tech news since its total revenue increased 265 percent from last year thanks to the demand for its AI-capable chipsets. 

The partnership's goal is to offer customers an AI/ML software stack and machine learning interface software as well as other upcoming products based on Nvidia's Blackwell platform. 

Qualcomm – Deci (January 2024)

Earlier this year, Qualcomm announced a collaboration with Deci. 

Deci offers a data science and machine learning platform that harnesses AI. The effort is meant to enhance Qualcomm's existing Cloud AI 100 AI hardware – its AI chip for cloud environments. 

"Together with Qualcomm Technologies we are pushing the boundaries of what's possible in AI efficiency and performance," said Yonatan Geifman, CEO and co-founder of Deci in a statement. 

Oracle-Cohere and Meta (January 2024)

Oracle announced its Oracle Cloud Infrastructure (OCI) Generative AI service which integrates LLMs from Cohere and Meta Llama 2.  

The collaboration, according to Oracle, is designed to "make it easier for enterprises to take advantage of the latest advancements in generative AI." Features of the integration include support for over 100 languages, improvements in the GPU cluster management experience, and enhanced fine-tuning options over GenAI solutions, the company said. 

 

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