For decades, supply chain software has been defined by tools -- forecasting tools, optimization tools, scenario tools, dashboards, and planning applications. Each is designed to perform a specific task well. But as supply chains become more volatile and tightly coupled, the biggest challenge is no longer analytical sophistication. It's coordination. [...]
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Zillow Group's first-quarter shareholder letter made the company's strongest case yet for its transformation into an AI-powered real estate platform, citing AI-driven productivity gains, a new consumer search mode, and AI tools for agents and property managers. Revenue rose 18% to $708 million. Read More
The vendor’s new agents could find a home in big Wall Street firms, threaten mid-sized service providers and start to push entry-level finance jobs aside.
Agents….they sound great, but do these autonomous programs actually do what you want? Are they accurate? Are they reliable? Enter Legal Agent Bench by Harvey, ...
At first glance, Microsoft Foundry looks like a big grab bag of every AI-adjacent service that Microsoft has offered in the last decade, plus some new ones. In Microsoft’s own words, “Foundry consolidates several previous Azure AI services and tools into a unified platform” and “unifies agents, models, and tools under a single management grouping.”
Microsoft Foundry helps application developers to build and deploy agents, which may use models and tools. It also helps machine learning (ML) engineers and data scientists to fine-tune models, run evaluations, and manage model deployments. Finally, it helps IT administrators and platform engineers to govern AI resources, enforce policies, and manage access across teams. It isn’t quite a floor wax and a dessert topping, but it does try to serve three distinct audiences.
Key capabilities of Microsoft Foundry for building agents include multi-agent orchestration, workflows, a tool catalog, memory, knowledge integration, and publishing. Key cap