Operational Data Foundations

Latest articles on Operational Data Foundations from Cortado Group

  • Your AI is Blind, and Your "Clever" Naming Strategy is the Culprit

    By David Russell

    The first step in any AI implementation is data. This is the core truth **we** bring to every client engagement. AI inherently needs data to succeed-it can't forecast *your* close rates until it knows *your* current close rate. It can't tell if 90-day-old deals are dead if *you're* not accurately tracking open and close dates. It needs this fuel to do its magic.

    Garbage in, garbage out? More like 'unfindable in, no intelligence out.' Understand how your everyday operational data-and critically, how it's named-forms the foundational layer upon which all AI initiatives are built, and how a weak foundation leads to 'machine blindness.'

  • Conversations to Conversations 4: Integrating AI Systems and Human Expertise

    By David Russell

    This week, our work on our AI focused on a dual objective: advancing the core architecture of our AI-driven meeting intelligence platform while simultaneously…

    Solid data foundations are what separate toy AIs from enterprise systems. This is a deep dive into our schema governance, normalized indexing, and the DatabaseAdapter layer for persisting structured AI outputs.

  • SKU 101 Foundations

    By David Russell

    Solid SKUs are essential for effective Go-to-Market AI, as they ensure accurate insights and boost ROI by preventing costly data errors.

    Every AI initiative is only as strong as its data foundations. Discover how clean SKUs eliminate hidden risks and set the stage for reliable GTM AI.