Microsoft is charting a path toward a more collaborative AI ecosystem, where artificial intelligence agents developed by different companies can work together seamlessly and retain memory of their past interactions, according to the company’s Chief Technology Officer Kevin Scott. The announcement was made during a press briefing at Microsoft’s headquarters in Redmond, Washington, ahead of the software giant’s annual Build developer conference in Seattle, which begins on May 19.
The initiative underscores Microsoft’s broader vision for AI development — one that emphasizes interoperability and industry-wide standards. At Build, the company is expected to unveil a suite of new developer tools designed to facilitate the creation of advanced AI systems, with a strong focus on cross-platform compatibility.
Scott emphasized Microsoft’s intent to spur the development and adoption of standardized frameworks that would allow AI agents from different enterprises to collaborate effectively. This includes building capabilities where AI systems not only interact in real-time but also retain context from previous interactions, improving their efficiency and responsiveness over time.
“This is not just about making smarter AI,” Scott noted during the briefing. “It’s about building a shared foundation that enables these agents to work across company lines, helping organizations solve problems together in powerful new ways.”
The initiative aligns with ongoing efforts within the tech industry to create more transparent, adaptable, and secure AI ecosystems. By promoting shared protocols and memory capability, Microsoft hopes to lead a movement that encourages smoother integration of AI into varied business operations.
The Build conference is expected to showcase practical demonstrations and technical sessions that highlight these new tools and standards, appealing to software developers eager to build AI solutions that can function across diverse ecosystems.
In summary, Microsoft’s approach represents a significant step in the evolution of enterprise AI, moving beyond isolated systems toward more intelligent, cooperative agents capable of learning from and building on past experiences, potentially transforming collaboration across industries.
Source: https:// – Courtesy of the original publisher.
