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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning - AI

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. Building a generative AI application SageMaker Unified Studio offers tools to discover and build with generative AI.

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Amazon Bedrock Flows is now generally available with enhanced safety and traceability

AWS Machine Learning - AI

With Bedrock Flows, you can quickly build and execute complex generative AI workflows without writing code. Key benefits include: Simplified generative AI workflow development with an intuitive visual interface. Flexibility to define the workflow based on your business logic.

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Asure’s approach to enhancing their call center experience using generative AI and Amazon Q in Quicksight

AWS Machine Learning - AI

Asure anticipated that generative AI could aid contact center leaders to understand their teams support performance, identify gaps and pain points in their products, and recognize the most effective strategies for training customer support representatives using call transcripts. Yasmine Rodriguez, CTO of Asure.

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Transformation transformed: How Generative AI has completely changed the way businesses think about innovation

CIO

For those who deploy AI responsibly, this new era of GenAI-led innovation is setting the stage for dramatic improvements in the speed with which businesses can launch new solutions, the level of personalization they can deliver in individual customer experiences, and the level of business intelligence they can summon at any given point in time.

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Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

AWS Machine Learning - AI

Large enterprises are building strategies to harness the power of generative AI across their organizations. Managing bias, intellectual property, prompt safety, and data integrity are critical considerations when deploying generative AI solutions at scale.

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Nvidia says NeMo microservices now generally available

CIO

Nvidia views its NeMo microservices as the building blocks that help enterprises build data flywheels, or feedback loops where data is collected from interactions or processes and then used to continuously refine AI models, leading to better interactions and processes. AT&T, for example, is using agentic AI to support its call centers.

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Welcome to a New Era of Building in the Cloud with Generative AI on AWS

AWS Machine Learning - AI

We believe generative AI has the potential over time to transform virtually every customer experience we know. Innovative startups like Perplexity AI are going all in on AWS for generative AI. And at the top layer, we’ve been investing in game-changing applications in key areas like generative AI-based coding.