The Brutal Truth About AI Data Readiness: How to Slow Down to Move Fast
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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.
Support for this episode provided by: Netscout
More about this week's guests:
Ina Poecher is a Technical Solutions Architect at World Wide Technology (WWT) and collaborates with customers and internal teams to design and validate innovative technology solutions. Working within WWT's Advanced Technology Center, she leverages extensive experience across IT infrastructure, cloud, networking and automation to develop and test complex architectures that drive business outcomes and support strategic initiatives.
Ina's top pick: AI Agents: Scaling Your Digital Workforce
William Stanley is a Chief Technology Advisor with nearly 30 years in IT, specializing in data strategy. With an MBA and BS in Computer Science, he aligns data, technology and business goals to drive outcomes. A trusted advisor and innovative leader, his expertise spans IT strategy, architecture and analytics. A lifelong educator, he also teaches a graduate big data course and brings deep, cross-industry experience to every engagement.
Bill's top pick: The Data Traps That Are Killing AI Initiatives
The AI Proving Ground Podcast leverages the deep AI technical and business expertise from within World Wide Technology's one-of-a-kind AI Proving Ground, which provides unrivaled access to the world's leading AI technologies. This unique lab environment accelerates your ability to learn about, test, train and implement AI solutions.
Learn more about WWT's AI Proving Ground.
The AI Proving Ground is a composable lab environment that features the latest high-performance infrastructure and reference architectures from the world's leading AI companies, such as NVIDIA, Cisco, Dell, F5, AMD, Intel and others.
Developed within our Advanced Technology Center (ATC), this one-of-a-kind lab environment empowers IT teams to evaluate and test AI infrastructure, software and solutions for efficacy, scalability and flexibility — all under one roof. The AI Proving Ground provides visibility into data flows across the entire development pipeline, enabling more informed decision-making while safeguarding production environments.
Chapters
1. Racing to AI Success: Data Foundations (00:00:00)
2. The Flywheel Effect: Starting Small (00:09:07)
3. Evaluating Data Readiness with Rubrics (00:17:18)
4. Organizational Alignment and Talent Strategy (00:24:36)
5. Security and Long-Term AI Planning (00:33:03)
6. Context Transfer and Future Data Trends (00:42:12)
31 episodes