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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning

To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle. With AWS IAM Identity Center , you can create or connect workforce users and centrally manage their access across their AWS accounts and applications.

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Mastering customer health for complex enterprise relationships

Totango

For enterprise organizations, managing customer relationships is far from simple. For enterprises, a well-constructed customer health score isnt just a nice-to-have; its a strategic asset that empowers teams to manage complexity, sustain customer satisfaction, and scale their customer success efforts.

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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

AWS Machine Learning

It enables different business units within an organization to create, share, and govern their own data assets, promoting self-service analytics and reducing the time required to convert data experiments into production-ready applications. The diagram shows several accounts and personas as part of the overall infrastructure.

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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning

The landscape of enterprise application development is undergoing a seismic shift with the advent of generative AI. Agent Creator Creating enterprise-grade, LLM-powered applications and integrations that meet security, governance, and compliance requirements has traditionally demanded the expertise of programmers and data scientists.

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25 Indicators of Fraud on Inbound Calls

Callminer

Further, malicious callers can manipulate customer service agents and automated systems to change account information, transfer money and more. For more information on fraud prevention through the use of speech analytics and AI, download our white paper, Sitel + CallMiner Survey: Preventing Fraud and Preserving CX with AI.

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From innovation to impact: How AWS and NVIDIA enable real-world generative AI success

AWS Machine Learning

Their results speak for themselvesAdobe achieved a 20-fold scale-up in model training while maintaining the enterprise-grade performance and reliability their customers expect. ServiceNows innovative AI solutions showcase their vision for enterprise-specific AI optimization. times lower latency) and the flexibility to evolve.

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

AWS Machine Learning

SageMaker Unified Studio setup SageMaker Unified Studio is a browser-based web application where you can use all your data and tools for analytics and AI. Prerequisites Before creating your application in Amazon Bedrock IDE, you’ll need to set up a few resources in your AWS account.

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