The Salesforce Admins Podcast Cleaning Data for AI Starts With Context, Not Perfection
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Jul 24, 2025 Chris Emmett, a Salesforce Solution Architect at Capgemini with extensive consulting experience, dives into the crucial topic of data cleanliness for AI readiness. He highlights that organizations often need significant data cleanup, especially if they've inherited legacy systems. Chris shares insights on how context is more important than perfection in data management and warns against merely replicating old workflows when implementing AI. With practical tips, he emphasizes evolving processes to harness actionable insights from clean data, making the tech journey both informative and entertaining.
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Importance of Data Context
- Data alone is useless without context to derive meaningful information.
- AI agents require clear context to understand and act on data effectively.
Information Equals Data Plus Context
- Information is data plus context; without context, data lacks meaningful information.
- AI needs this contextual information to generate useful insights and actions.
Target Data That Matters
- Focus your data cleaning efforts on the specific data used by the AI actions you want to build.
- Narrowing scope allows quick wins and avoids the impossible task of cleaning all data.