Build AI-Ready Data You Can Trust

​Most companies already have a BI team, a warehouse and plenty of reporting tools. Managers still run the business from spreadsheets, because getting a trusted number from the center takes too much effort. Point AI at that data, and the AI inherits every conflicting answer.

​In 45 minutes we walk through why people stop trusting their data, and the five steps that make data ready for AI: governance, ownership, source of truth, an AI-specific schema and a semantic layer.

​What you leave with

• ​Why trust in data breaks across the whole organization, not in one bad number

• ​The five steps, the order to build them in, and what finished looks like in each

• ​Why every data domain needs a business leader as owner, with the authority to settle what a number means

• ​A clear picture of where your company stands today

​Free and live. Plenty of people take the method and run the steps themselves, which is a perfectly good outcome. If you would rather not do the work alone, we do the work with you. At the end, everyone in the room is welcome to book a free 45-minute AI Strategy and Gap Analysis session.

​Want your own scores first? The AI Quick Assessment takes seven minutes: scorecard.hushlark.ai