SAS AI Blog·
If you scroll through job postings right now, you’ll see a pattern. Plenty of roles asking people to train models, fine-tune outputs, build agents and automate workflows. Fewer ones are asking for the kind of judgment that used to sit at the center of how decisions get made. At the [...] The post SAS Innovate 2026: Will people matter as AI scales? appeared first on SAS Blogs.
Read full articleZillow 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.
The recent move by Anaconda to acquire Outerbounds is aimed directly at a gap between experimentation and production, where workflows often fail to run consistently across environments. Instead of replacing […] The post Anaconda Moves to Control AI Workflows with Outerbounds Buy appeared first on AIwire.
Anthropic announced “dreaming” for AI agents to sort through “memories” at its developer conference. Can we not?
Staff are often more willing than leaders to move quickly on AI and automation
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
OASYS enables agents to autonomously improve, potentially cutting down on development time and costs for enterprise customers.
