Many enterprises recognize AI's potential but hesitate due to risk concerns, legacy infrastructure, and data chaos. In this episode, AI experts Mike Trojecki and Ina Poecher share how businesses can take their first steps with AI by focusing on small, high-impact use cases, leveraging their existing data, and bridging the gap between technical capability and business strategy.

For 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: Data Maturity Model

Mike Trojecki began his career in the U.S. Air Force supporting missions for the White House and Air Force One. He later led emerging tech practices at firms like ePlus and Logicalis, with expertise in security, networking, cloud, and AI. Now leading the AI Practice at WWT, he focuses on high-performance architectures, data management, and AI data center design, delivering innovative solutions that drive business transformation.

Mike's top pick: Building for Success: A CTO's Guide to Generative AI

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.