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Amazon Bedrock announces general availability of multi-agent collaboration

AWS Machine Learning Blog

Since its preview launch at re:Invent 2024, organizations across industriesincluding financial services, healthcare, supply chain and logistics, manufacturing, and customer supporthave used multi-agent collaboration to orchestrate specialized agents, driving efficiency, accuracy, and automation. What is multi-agent collaboration?

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Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker

AWS Machine Learning Blog

Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. Recent developments in generative AI models have further sped up the need of ML adoption across industries.

ML 133
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Accelerating AI/ML development at BMW Group with Amazon SageMaker Studio

Flipboard

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. Data scientists and ML engineers require capable tooling and sufficient compute for their work. Data scientists and ML engineers require capable tooling and sufficient compute for their work.

ML 151
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Sarah Assous, Vice President of Product Marketing, Akeneo – Interview Series

Unite.AI

While traditional PIM systems are effective for centralizing and managing product information, many solutions struggle to support complex omnichannel strategies, dynamic data, and integrations with other eCommerce or data platforms, meaning that the PIM just becomes another data silo.

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10 Best AI Real Estate Tools (March 2025)

Unite.AI

These tools cover a range of functionalities including predictive analytics for lead prospecting, automated property valuation, intelligent lead nurturing, virtual staging, and market analysis. Offrs Offrs is a predictive analytics platform that helps real estate agents identify homeowners likely to sell in the near future.

AI 147
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How the Masters uses watsonx to manage its AI lifecycle

IBM Journey to AI blog

This allows the Masters to scale analytics and AI wherever their data resides, through open formats and integration with existing databases and tools. “Hole distances and pin positions vary from round to round and year to year; these factors are important as we stage the data.”

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Reducing administrative burden in the healthcare industry with AI and interoperability

IBM Journey to AI blog

When combined with artificial intelligence (AI), an interoperable healthcare data platform has the potential to bring about one of the most transformational changes in history to US healthcare, moving from a system in which events are currently understood and measured in days, weeks, or months into a real-time inter-connected ecosystem.

AI 295