Tuesday, May 5 2026

Anthropic, Blackstone, Hellman & Friedman, and Goldman Sachs are launching a new AI services company to help mid-market businesses adopt Claude, which means that selling AI now requires a lot more than just the AI itself. This changes the way data teams approach AI adoption, as they now need to consider the total cost of ownership, including support and customization, when choosing an AI tool.

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A practical guide to understanding AI agent design, ReAct workflows, and when to scale from a single agent to a multi-agent system, which is crucial for building efficient knowledge bases for AI models. This changes the tool that data scientists use to design and deploy AI systems, as they now have a clear framework for deciding between single and multi-agent systems.

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Building a knowledge base for AI models isn’t a one-time task but an iterative process of refinement, which requires a deep understanding of AI agent design and multi-agent systems. This changes the workflow for data teams, as they now need to prioritize knowledge base maintenance and updates to ensure their AI models remain accurate and efficient.

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Jenkins, the No. 5 pick in the 2023 MLB Draft, has had trouble staying healthy as a pro, which highlights the importance of using AI and data analysis to predict and prevent injuries in sports. This changes the way sports teams approach player health and safety, as they now need to consider using AI-powered tools to identify potential injury risks and develop personalized prevention plans.

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From road to trail, daily training to racing, these are our top trainers for every kind of runner, which shows how AI can be used to personalize product recommendations based on individual preferences and needs. This changes the way sports equipment manufacturers approach product design and marketing, as they now need to consider using AI-powered tools to create personalized product recommendations and improve customer satisfaction.

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I met the women leaders building the bikes millions of people ride—and the sport millions of us love, which highlights the importance of diversity and inclusion in the sports industry, and how AI can be used to promote and support underrepresented groups. This changes the way sports organizations approach diversity and inclusion, as they now need to consider using AI-powered tools to identify and address biases, and promote more inclusive and equitable environments.

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In this episode, Philip Kiely, head of AI education at Baseten, joins us to unpack the fast-evolving discipline of inference engineering, which is crucial for building efficient AI systems. This changes the way data scientists approach AI system design, as they now need to prioritize inference engineering and consider the total cost of ownership, including support and customization, when choosing an AI tool.

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