• Home
    • Technology
    • Gaming
    • Entertainment
    • World & Business
    • Science
    • Sports
    • AI
    HomeTechnologyGamingEntertainmentWorld & BusinessScienceSportsAI
    Technology
    Report

    The role of business context in enterprise AI

    ContainerJrnl cites Google Cloud’s Aniket Arora on how playbooks and business rules can shape an AI model’s responses.

    Cloud Native NowCN
    Techstrong.aiTE
    2 Sources, 2h ago, first seen 2h ago

    TLDR

    ContainerJrnl argues that a more powerful AI model is not enough if it lacks the business context behind company data, citing Google Cloud’s Aniket Arora. The post says playbooks, wikis, PDFs, business rules and definitions such as how revenue is calculated can shape how a model interprets information and responds to tasks. It argues that connecting this knowledge to AI will matter more as agents take on complex workflows and decisions.

    Combined views

    118

    2 Sources, first seen 2h ago

    2 likes4 reposts

    Combined views

    118

    2 Sources, first seen 2h ago

    2 likes4 reposts
    Image: @ContainerJrnl on X

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    Featured Source

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    2 Sources

    Cloud Native Now@ContainerJrnlA more powerful model is not enough if it does not understand the business behind the data. @googlecloud’s Aniket Arora points to context as a critical part of enterprise AI. Internal playbooks, wikis, PDFs, business rules, and even definitions such as how revenue is calculated can all shape how an LLM interprets information and responds to a task. Connecting that organizational knowledge to AI becomes even more important as agents take on more complex workflows and decisions. For a deeper look at the data foundation needed to support that shift, watch the full session on demand: https://bit.ly/4jFcNay #AgenticAI #EnterpriseAI #GoogleCloud #DataStrategy2h
    Techstrong.ai@TechstrongaiRT @ContainerJrnl: A more powerful model is not enough if it does not understand the business behind the data. @googlecloud’s Aniket Arora…2h
    • Home
    • Technology
    • Gaming
    • Entertainment
    • World & Business
    • Science
    • Sports
    • AI

    2 Sources

    Cloud Native Now@ContainerJrnlA more powerful model is not enough if it does not understand the business behind the data. @googlecloud’s Aniket Arora points to context as a critical part of enterprise AI. Internal playbooks, wikis, PDFs, business rules, and even definitions such as how revenue is calculated can all shape how an LLM interprets information and responds to a task. Connecting that organizational knowledge to AI becomes even more important as agents take on more complex workflows and decisions. For a deeper look at the data foundation needed to support that shift, watch the full session on demand: https://bit.ly/4jFcNay #AgenticAI #EnterpriseAI #GoogleCloud #DataStrategy2h
    Techstrong.ai@TechstrongaiRT @ContainerJrnl: A more powerful model is not enough if it does not understand the business behind the data. @googlecloud’s Aniket Arora…2h
    Today's Rank

    —

    Not ranked yet

    Today's Rank

    —

    Not ranked yet