SAP adds Amazon Bedrock into AI Core, streamlining generative AI use for regulated firms

by | May 29, 2024 | Technology

Time’s almost up! There’s only one week left to request an invite to The AI Impact Tour on June 5th. Don’t miss out on this incredible opportunity to explore various methods for auditing AI models. Find out how you can attend here.

Enterprise application software maker SAP is deepening its relationship with Amazon Web Services through new AI-centric integrations. The first involves its AI Core platform: SAP is adding support for the Amazon Bedrock AI development service, creating opportunities for companies, especially those in regulated industries, to experiment with generative AI.

In addition, SAP is announcing that it’s doubling down on AWS chips to power its infrastructure. The company will upgrade its Graviton chips and plans to power its Business AI offering using AWS Trainium and Inferentia.

“AWS was the first cloud provider certified to support the SAP portfolio, and today, thousands of enterprise companies run SAP solutions on AWS to get the most out of their mission-critical applications,” Matt Garman, AWS’ incoming chief executive, says in a statement. “Now, AWS and SAP are making it faster and easier for companies to apply generative AI to their core business data to become more efficient, responsive, and sustainable.”

Bringing gen AI to more enterprise companies

Part of SAP’s Business Technology Platform, AI Core allows customers to manage their AI assets in a “standardized, scalable and hyperscaler-agnostic way.” The incorporation of Amazon Bedrock means those organizations can now access a litany of supported large language models, such as Amazon Titan, Anthropic’s Claude 3 Opus, Cohere’s family of Command R models, Mistral 7B and Mixtral 8x7B, and Meta’s Llama, Stable Diffusion, and AI21 Labs.

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June 5th: The AI Audit in NYC

Join us next week in NYC to engage with top executive leaders, delving into strategies for auditing AI models to ensure fairness, optimal performance, and ethical compliance across di …

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Time’s almost up! There’s only one week left to request an invite to The AI Impact Tour on June 5th. Don’t miss out on this incredible opportunity to explore various methods for auditing AI models. Find out how you can attend here.

Enterprise application software maker SAP is deepening its relationship with Amazon Web Services through new AI-centric integrations. The first involves its AI Core platform: SAP is adding support for the Amazon Bedrock AI development service, creating opportunities for companies, especially those in regulated industries, to experiment with generative AI.

In addition, SAP is announcing that it’s doubling down on AWS chips to power its infrastructure. The company will upgrade its Graviton chips and plans to power its Business AI offering using AWS Trainium and Inferentia.

“AWS was the first cloud provider certified to support the SAP portfolio, and today, thousands of enterprise companies run SAP solutions on AWS to get the most out of their mission-critical applications,” Matt Garman, AWS’ incoming chief executive, says in a statement. “Now, AWS and SAP are making it faster and easier for companies to apply generative AI to their core business data to become more efficient, responsive, and sustainable.”

Bringing gen AI to more enterprise companies

Part of SAP’s Business Technology Platform, AI Core allows customers to manage their AI assets in a “standardized, scalable and hyperscaler-agnostic way.” The incorporation of Amazon Bedrock means those organizations can now access a litany of supported large language models, such as Amazon Titan, Anthropic’s Claude 3 Opus, Cohere’s family of Command R models, Mistral 7B and Mixtral 8x7B, and Meta’s Llama, Stable Diffusion, and AI21 Labs.

VB Event
June 5th: The AI Audit in NYC

Join us next week in NYC to engage with top executive leaders, delving into strategies for auditing AI models to ensure fairness, optimal performance, and ethical compliance across di …nnDiscussion:nn” ai_name=”RocketNews AI: ” start_sentence=”Can I tell you more about this article?” text_input_placeholder=”Type ‘Yes'”]

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