News from the AI & ML world
DeeperML - #agents
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Alex Simons@Microsoft Security Blog
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Microsoft is heavily invested in the future of AI agents, recognizing their potential to transform various fields. The company believes that in the next 12-24 months, AI agents will evolve from simply responding to requests to proactively identifying problems, suggesting solutions, and carrying context across conversations. This shift will be noticeable as agents begin to independently assist users, rather than just following instructions.
Microsoft is actively developing a robust and sophisticated set of AI agents. A key project in this area is Magentic-UI, an open-source research prototype from Microsoft Research. Magentic-UI is designed as a human-centered AI agent that collaborates with users to complete complex, web-based tasks in real time through a web browser. Unlike fully autonomous systems, Magentic-UI prioritizes a transparent and controllable experience, especially for tasks requiring action-oriented activities beyond simple web searches. Microsoft's release provides a UX that highlights new ideas for agentic interactions. To support the evolution of AI agents, Microsoft emphasizes the need for evolving identity standards, particularly OAuth, to ensure secure agent access to data and systems. This includes APIs, code repositories, data warehouses, productivity tools, enterprise systems, and sensitive business processes. Furthermore, Microsoft is dogfooding AI dev tools, and using them internally, to refine and improve their functionality. This also provides a UX that highlights new ideas for agentic interactions. The goal is to create AI agents that augment and amplify organizational capabilities, such as marketing agents that can propose, refine, and execute entire digital marketing campaigns, or engineering agents that can autonomously create feature specifications and initiate development and testing.
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John Werner,@John Werner
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Companies are rapidly adopting AI agents to enhance various business operations. Salesforce, for example, has integrated AI agents into their Agentforce platform, amassing insights from over 500,000 customer conversations, showcasing how AI can drive both empathy and efficiency. The interest in leveraging AI agent designs to optimize processes is growing, as businesses seek to harness the power of intelligent automation. Companies are increasingly interested in how to get the most out of new agentic AI designs.
Agent Architect is emerging as a critical role, tasked with designing and implementing intelligent agent workflows using low-code tools. These architects bridge the gap between business goals and AI automation, mapping processes to workflows and designing agent behaviors that adapt and evolve with minimal human intervention. Lyzr is helping to train Agent Architects with the aim of accelerating automation strategies. This new role is essential, as analysts, developers, and system engineers were not originally hired to manage agentic AI. Furthermore, partnerships are forming to extend the reach of AI agents into government sectors. Leidos and Moveworks are collaborating to provide agentic AI solutions to government agencies in the U.S., U.K., and Australia, aiming to improve efficiency for government workers. Moveworks has received security certifications from Leidos, showing their capacity to support government agencies with secure AI solutions. Additionally, Zero Networks is promoting automated microsegmentation to enhance cybersecurity through zero trust policies, isolating assets within networks to limit the impact of cyberattacks, with automation seen as key to practical real-world network security.
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