Stibo Logo

ON DEMAND WEBINAR

Retail Reinvented: Trusted Data for AI, Agility & Customer Connection

PART 2

Retail Reinvented: Trusted Data for AI, Agility & Customer Connection - Part 2

The future of retail hinges on one thing: trust in your data. As AI becomes embedded in daily operations, leading retailers are realizing that without a solid foundation of trusted data, their AI efforts risk failure. Why do so many initiatives stumble at scale? How do top organizations turn reliable data into a competitive advantage in a rapidly shifting landscape?

Industry veterans Ricardo Belmar, Arnjah Dillard, and Michael Fulton reveal the pitfalls and proven strategies to transform your data into a strategic asset. You’ll discover the core challenges behind trust breakdowns—like transparency gaps and unclear ownership—and learn practical, incremental steps to build confidence in your metrics. They break down how trusted data accelerates AI deployment, unlocks faster decision-making, and keeps your organization resilient amidst chaos.

From establishing clear standards and defining critical metrics to ensuring governance and alignment, this conversation provides actionable insights for retail data leaders, strategists, and innovators. If you’re serious about leveraging AI for growth, understanding where trust falters—and how to fix it—is essential. Don’t leave your competitive edge to chance; discover how trustworthy data becomes your most valuable asset in the AI-driven retail revolution.

Perfect for retail executives, data managers, and AI practitioners eager to operationalize data integrity and harness AI confidently. Tune in and learn how to turn your data into a seamless, transparent, and powerful decision partner. The key to faster, smarter retail outcomes starts here.

ON DEMAND WEBINAR

*” indicates required fields

Speakers

About Arnjah Dillard

Arnjah Dillard is a seasoned retail executive and data strategist with more than three decades of experience driving transformation through information governance and operational excellence. A recognized expert in Master Data Management (MDM), data governance, and retail analytics, Arnjah has helped global organizations modernize their product lifecycle, optimize business processes, and elevate customer experiences through data-driven strategy. A frequent contributor to industry discussions, Arnjah is also a passionate advocate for sustainable business practices, women in technology, and innovation in the retail sector worldwide.

Michael Fulton

About Michael Fulton

Michael Fulton is the Senior Director of Data Science at PVH Corp., where he leads initiatives that harness advanced analytics and machine learning to optimize business performance across iconic brands including Tommy Hilfiger, Calvin Klein, and IZOD. With more than 20 years of experience in retail data science, Michael has built and scaled high-performing teams that drive measurable impact in customer experience, merchandising, and inventory optimization. His expertise spans predictive modeling, statistical analysis, experimentation design, and data visualization, with a focus on translating complex insights into strategic, revenue-generating solutions. He is also deeply committed to mentoring analytics talent and fostering a culture of collaboration and data-driven decision-making.

Ricardo Belmar

About Ricardo Belmar

Ricardo Belmar is a retail and consumer goods advisor with over 25 years of experience helping brands navigate the digital era to drive loyalty, deliver engaging customer experiences, and build future-ready organizations. Most recently, he led partner go-to-market for Retail & Consumer Goods at Microsoft across the Americas, enabling partners to serve customers with AI-powered solutions on the Microsoft Cloud. He is the founder, host, and producer of the award-winning Retail Razor Podcast Network, where he shares insights on retail strategy, technology, leadership, and transformation alongside global industry leaders.

Copyright © 2026 Stibo Systems   Privacy Policy   Data Privacy Framework   Terms of Use

Become a Client

Or give us a call

By clicking the "Submit" button, you are agreeing to the Intent Technology Publication Privacy Policy.