In this episode of ML Stories, we sit down with Rich Sica, an advertising business affairs professional and music strategist whose career spans some of the biggest names in tech and entertainment, including TikTok and Meta. Rich has worked with global brands to shape campaigns that bridge advertising, music, and technology — from managing rights and talent contracts to leading creative partnerships that bring storytelling and sound together. We talk about how TikTok has become a testing ground for bold ideas, what are the most overhyped metrics, and how AI should be a co-pilot for creativity.
From Montblanc to Martech: Miles Chevalier on Tech, Humanity, and the Future of AI
When you speak with Miles Chevalier, you quickly realize his perspective on marketing and technology is shaped as much by human experience as it is by systems.
Robert Barbaro on Data, AI, and the Human Role in the Future of Technology
From a career in performing arts to Digital Data Architect, Robert Barbaro’s career path has been anything but ordinary. Today, at David Lloyd Clubs, he’s shaping how data and AI are used to drive growth, optimise customer journeys, and rethink how organisations prepare for the future.
You can’t grow if you can’t see | Episode 02
They’re not just cleaning up the chaos — they’re uncovering where the growth really is.In a world of content overload, structured data is the difference between guesswork and smart reinvestment. Know what’s working. Do more of it. That’s the game now.
It’s Budget Time: Why 2026 Belongs to Marketing Intelligence & Your Data Foundations
Every September / October, the same ritual happens every year: budgets get locked. Line items are fought over, horse-trading begins, and soon most of the big calls about what tools, teams, and tech you’ll have for the next year are already made.
Why Marketing Still Needs Human Creativity: Mansoor Panawala on AI, Analytics, and Growth
With a career spanning McKinsey, Motorola, Google, and Walgreens, Mansoor has seen marketing and strategy evolve from both the consulting and corporate side.
Marko Djukic on Brand Leadership, Emotional Impact, and the Real Role of AI
As Global Director of Brand Marketing for Accor’s premium brands, Marko Djukic lives and breathes brand activation—not as a campaign function, but as a way to create emotional experiences people remember.
From Showtime to WMG: Paul Nicholson’s Creative Ops Playbook
Paul Nicholson has spent decades building and running creative operations at scale, including 24 years at Showtime leading Production and Operations.
From Perfection to Authenticity: Michele Fry on Marketing’s Fast-Paced Future
Michele Fry, former Head of Creative at Ocado, has spent her career at the intersection of creativity, efficiency, and brand building. In this interview, she shares why perfection is no longer the goal in marketing, how authenticity and speed are redefining the industry, and where she sees AI unlocking new possibilities for creative teams.
Cut the Red Tape: Gil Gonzalez on Streamlining Systems, Empowering People, and Delivering Smarter
With more than 15 years of experience at companies such as Netflix, Disney, and HBO, Gil Gonzalez is a Product Manager and Creative Assets Specialist who has led initiatives to optimize digital asset management (DAM) systems and media workflows.
How the Best Brand Are Using AI to Simplify & Grow | Episode 01
They’re not just cleaning up the chaos — they’re uncovering where the growth really is.In a world of content overload, structured data is the difference between guesswork and smart reinvestment. Know what’s working. Do more of it. That’s the game now.
Bringing Structure to Creativity: Joanna Coleman on Operational Excellence in Marketing
Joanna Coleman is a Marketing Operations Project Manager, formerly with UnitedHealthcare, where she led marketing operations and project workflows across a high-volume marketing communications team.
Teri R. Moten on AI in Marketing and Leading with Purpose – ML Stories
They’re not just cleaning up the chaos — they’re uncovering where the growth really is.In a world of content overload, structured data is the difference between guesswork and smart reinvestment. Know what’s working. Do more of it. That’s the game now.
Inside the Martech Mind: Antonio Pellegrino Talks Teams, Technology, and the Future of Marketing
They’re not just cleaning up the chaos — they’re uncovering where the growth really is.In a world of content overload, structured data is the difference between guesswork and smart reinvestment. Know what’s working. Do more of it. That’s the game now.
Santiago Gonzalez on Untangling Creative Ops, AI in Marketing, and the Myth of Personalization – ML Stories
They’re not just cleaning up the chaos — they’re uncovering where the growth really is.In a world of content overload, structured data is the difference between guesswork and smart reinvestment. Know what’s working. Do more of it. That’s the game now.
Keith Tomlinson on Creative Confidence, AI Clarity, and Embracing the Unknown – ML Stories
They’re not just cleaning up the chaos — they’re uncovering where the growth really is.In a world of content overload, structured data is the difference between guesswork and smart reinvestment. Know what’s working. Do more of it. That’s the game now.
How Núria Antoja Builds Brands—and the Teams Behind Them – ML Stories
They’re not just cleaning up the chaos — they’re uncovering where the growth really is.In a world of content overload, structured data is the difference between guesswork and smart reinvestment. Know what’s working. Do more of it. That’s the game now.
Power to the Data People: Why Structuring Content Data Is the Next Growth Engine
They’re not just cleaning up the chaos — they’re uncovering where the growth really is.In a world of content overload, structured data is the difference between guesswork and smart reinvestment. Know what’s working. Do more of it. That’s the game now.
The Uncomfortable Truth: Why Your AI Strategy is Only as Good as Your Data
AI can’t fix what it can’t see. Without clean, connected, and complete data, even the best AI strategy will underdeliver. The uncomfortable truth? Your data—not your model—is the real competitive edge.









