Category: AI and ML

    AIAI and ML

    Cyberhaven Research Highlights Urgent Need for AI Data Governance

    Research reveals growing gaps between AI experimentation and risk patterns as usage deepens across business workflows  Enterprise use of AI is expanding rapidly across development, operations, and knowledge work, but new research shows these changes in behavior are creating new data risks that legacy technology can’t see or govern. The 2026...

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    AI and MLMachine Learning

    Domino Data Lab Taps Admiral Grady to Lead Public Sector AI

    Grady’s appointment and new Public Sector GVP follow record industry revenue growth from scaling proven AI systems operations across government missions Domino Data Lab, provider of the leading enterprise AI platform trusted by the largest AI-driven enterprises and major government agencies, today announced it has appointed former 12th Vice Chairman...

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    Agentic AIAI and MLDeep DivesFeaturesHow It WorksInside AI

    How separating logic and search boosts AI agent scalability

    Separating logic from inference improves AI agent scalability by decoupling core workflows from execution strategies. The transition from generative AI prototypes to production-grade agents introduces a specific engineering hurdle: reliability. LLMs are stochastic by nature. A prompt that works once may fail on the second attempt. To mitigate this, development teams often wrap core business […]

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    Intuit, Uber, and State Farm trial AI agents inside enterprise workflows

    The way large companies use artificial intelligence is changing. For years, AI in business meant experimenting with tools that could answer questions or help with small tasks. Now, some big enterprises are moving beyond tools and into AI agents that can actually do work across systems and workflows, not just answer prompts. This week, OpenAI […]

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