The Brutal Truth About AI Data Readiness: How to Slow Down to Move Fast

Charged with moving fast on AI? You might be setting yourself back. In this episode of the AI Proving Ground Podcast, WWT AI expert and data scientist Ina Poecher and Chief Technology Advisor Bill Stanley break down why the organizations that win with AI won't be the ones spending the most — they'll be the ones that get the fundamentals right. From "garbage in, garbage out" to building modular, reusable solutions, they share hard-earned lessons on how to align your teams, clean your data and choose the right first use cases to create a compounding "flywheel" of success. If you're feeling the pressure to move fast, this conversation will show you why the smartest move might be to slow down. #wwtpresents #wwt #aiprovinggroundpodcast #AIReadiness #AIImplementation #AIProjectFailure #AIDataQuality #DataReadinessForAI #AIMistakesToAvoid #AITransformation #AIDataManagement #ArtificialIntelligenceTips #AIProjectSuccess

Support for this episode provided by: Netscout

Chapters:
0:00 Racing to AI Success: Data Foundations
9:07 The Flywheel Effect: Starting Small
17:18 Evaluating Data Readiness with Rubrics
24:36 Organizational Alignment and Talent Strategy
33:03 Security and Long-Term AI Planning
42:12 Context Transfer and Future Data Trends

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World Wide Technology (WWT) is a global systems integrator that provides digital strategy, innovative technology, and supply chain solutions to large public and private organizations.

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