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by Mateo Bervejillo
Mateo Bervejillo interviews Technology Leaders to talk about everything and anything related to Technology and the Future. Guests open up about their stories and opinions on cutting edge topics, in an informal conversation tone.
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AI has made it possible to build software faster than ever. You can go from idea to working prototype in a single afternoon. But turning that prototype into something secure, scalable, reliable, and affordable is a completely different challenge.Today's guest is Patrick Garvey, Azure AI Architect and Consultant, who spends his time helping organizations bridge that gap. We'll talk about where "vibe coding" ends and engineering begins, the cloud architecture mistakes AI is making easier to create, why security and governance matter more than ever, and the "web-shaped" skills engineers need to thrive in the AI era. If you're building software with AI—or leading teams that are—this conversation is for you.
Today's conversation is about one of the biggest questions in financial services: what happens when AI doesn't just recommend decisions, but starts making payments?To help us separate what's real from what's hype, I'm joined by Ken Kruszka, whose career spans payments, fintech, money movement, banking partnerships, and emerging payment infrastructure. We'll start by looking at what the history of payments teaches us, explore what's becoming possible with AI agents, examine the technical, regulatory, and trust barriers that still stand in the way, discuss who is responsible when autonomous systems make mistakes, and finish with where AI is already delivering value—and what banks, fintechs, and payment leaders should be doing today to prepare for what's next.
Data has become the currency of the digital world. Every app we use, every AI model we interact with, and every connected device we own depends on collecting, storing, and sharing information about us. But as AI accelerates, a fundamental question becomes impossible to ignore: who actually owns our data, and who should control it?Today's guest believes the way we've approached privacy is fundamentally broken. After decades building technology companies, leading product innovation, and helping shape the connected-device revolution, he's now focused on tackling one of technology's biggest challenges through his latest venture, Mementom.Today we'll talk about the future of data privacy, why this problem matters more than ever in the age of AI, the story behind Mementom, Jim's journey through the technology industry, and what comes next.
Data analysts have traditionally lived behind dashboards, reports, and SQL queries. But in an AI-powered world where technical skills are becoming increasingly democratized, the biggest competitive advantage may no longer be building insights—it may be influencing decisions.Today's guest believes the future of analytics isn't in the back office—it's sitting alongside sales, helping customers solve real business problems. Nathan Platter is a senior analytics leader, consultant, and founder of Platter Analytics, with a career spent turning data into business outcomes rather than just reports. He operates at the intersection of analytics, strategy, and customer engagement, challenging data professionals to become trusted advisors instead of ticket-takers.In this episode, we explore why analysts should move closer to revenue, how engineers can develop the people skills needed to thrive in customer-facing roles, what success looks like when analytics is embedded in sales, and why the next generation of data professionals may be measured less by the dashboards they build—and more by the decisions they help drive.
Every company wants to use AI to automate more work, but before automating a process, you must first understand it. What makes a good business process? When is it actually ready for AI? And what happens when intelligent agents become active participants in how work gets done?Today, I'm joined by Al Nawab, a leader at the intersection of business process management and enterprise AI, to explore how organizations can redesign their operations in the age of intelligent automation.
We all know people who seem to have every answer. They've read the books, listened to the podcasts, attended the workshops, and can explain exactly what great leadership looks like. So why is it often the people who know the most who struggle to make the decisions that matter?In this episode, we're exploring the space between knowing and doing. Why do smart, capable leaders get stuck? Why do we avoid the conversations, decisions, and risks that could move us forward? And what finally allows someone to stop overthinking and start acting?Joining me today is Joel B. Feldman, whose work focuses on helping leaders break through that gap and execute with greater clarity and courage.
Everyone says they want more inclusive workplaces. But good intentions don't retain great people—great implementation does. As AI reshapes how we work and organizations rethink flexibility, leadership, and performance, the companies that thrive will be the ones that know how to turn policy into practice.Today's guest is Jodie Herbert, founder of Ability Pathways Australia, a workplace inclusion strategist, disability advocate, and someone who has spent more than two decades helping organizations close the gap between what they promise and what actually happens on the ground. Combining deep analytical expertise with lived experience as a carer, Jodie has become a leading voice on building workplaces where flexibility isn't a perk—it's a competitive advantage. We're going to talk about the future of work, why trust beats control, and what leaders can do today to keep exceptional people.
AI is making us faster, more automated, and increasingly connected to machines—but what happens to the human side of leadership when so much of our work can be delegated to technology?Today I’m joined by Dr. MJ Vignone, an executive coach, keynote speaker, and leadership expert who has spent more than 20 years working in leadership and organizational development. She holds a PhD in Human and Organizational Systems, an MBA, and an ICF-accredited coaching credential, and has held senior leadership roles, designed leadership programs, and coached leaders across industries.MJ is also the host of HeartWired: Emotionally-Intelligent Leadership for an AI World, a podcast exploring the intersection of technology, humanity, and leadership—and why emotional intelligence may be the defining human advantage in the AI era.Today, we’ll dig into why EQ matters more as AI gets smarter, whether we’re facing a connection crisis, and what leaders need to protect—and strengthen—as machines take on more of the work.
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Mateo Bervejillo interviews Technology Leaders to talk about everything and anything related to Technology and the Future. Guests open up about their stories and opinions on cutting edge topics, in an informal conversation tone.
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