16: Path to Data Readiness for AI & GenAI in Retail with Roland Ehigiamusoe

In this episode of ⁠The Retail Tales⁠, our host ⁠Saurabh Vijayvergia⁠ sits down with Roland Ehigiamusoe (a.k.a. Roe), a seasoned partner at Deloitte Consulting, to discuss the path to data readiness for AI and Generative AI in Retail.

Roe shares his insights on how AI and Generative AI are transforming the retail industry, from personalized customer experiences to fraud detection. He then dives deep into the key components of data readiness that retailers must focus on, including data quality, integration, governance, architecture, and data literacy. Roe also addresses the common misconception that data maturity must be achieved sequentially before embarking on an AI initiative. He explains how retailers can start leveraging AI with their existing data, while simultaneously working to improve their data capabilities.

This episode is a must-listen for retail leaders who are looking to embark on (or currently on) AI and Generative AI journeys for their own organizations. It offers a wealth of practical advice and lessons learned that can be directly utilized to become data ready for an organization's AI and Generative AI ambitions.

Connect with Roland Ehigiamusoe on LinkedIn at: ⁠ https://www.linkedin.com/in/roland-ehi-392b36/

Connect with Saurabh Vijayvergia on LinkedIn at: ⁠ https://www.linkedin.com/in/svijayvergia/⁠

Follow The Retail Tales on LinkedIn at: ⁠ https://www.linkedin.com/company/retailaitales/⁠

DISCLAIMER: The information presented in this podcast episode is intended for general informational purposes only. By accessing and listening to this episode, you acknowledge that none of the information provided herein should be construed as advice from The Retail Tales, its individual author(s), hosts, or guests. It is not intended to replace independent research on any subject matter. Any mention of specific products or entities does not imply an endorsement or recommendation by The Retail Tales. The opinions expressed by guests are their own, and their appearance on the program does not constitute an endorsement by The Retail Tales or any associated entity. The host may have taken creative liberties to make the stories and experiences more appealing to the listeners.

The Retail Tales waives all liability or responsibility for any direct, indirect, incidental, special, consequential, or other damages that may result from an individual's use of, reference to, or reliance on this podcast or the information it contains.