Tech Talks Daily

What does responsible AI really look like when it moves beyond policy papers and starts shaping who gets to build, create, and lead in the next phase of the digital economy? In this conversation recorded during AWS re:Invent, I'm joined by Diya Wynn, Principal for Responsible AI and Global AI Public Policy at Amazon Web Services. With more than 25 years of experience spanning the internet, e-commerce, mobile, cloud, and artificial intelligence, Diya brings a grounded and deeply human perspective to a topic that is often reduced to technical debates or regulatory headlines. Our discussion centers on trust as the real foundation for AI adoption. Diya explains why responsible AI is not about slowing innovation, but about making sure innovation reaches more people in meaningful ways. We talk about how standards and legislation can shape better outcomes when they are informed by real-world capabilities, and why education and skills development will matter just as much as model performance in the years ahead. We also explore how generative AI is changing access for underrepresented founders and creators. Drawing on examples from AWS programs, including work with accelerators, community organizations, and educational partners, Diya shares how tools like Amazon Bedrock and Amazon Q are lowering technical barriers so ideas can move faster from concept to execution. The conversation touches on why access without trust falls short, and why transparency, fairness, and diverse perspectives have to be part of how AI systems are designed and deployed. There's an honest look at the tension many leaders feel right now. AI promises efficiency and scale, but it also raises valid concerns around bias, accountability, and long-term impact. Diya doesn't shy away from those concerns. Instead, she explains how responsible AI practices inside AWS aim to address them through testing, documentation, and people-centered design, while still giving organizations the confidence to move forward. This episode is as much about the future of work and opportunity as it is about technology. It asks who gets to participate, who gets to benefit, and how today's decisions will shape tomorrow's innovation economy. As generative AI becomes part of everyday business life, how do we make sure responsibility, access, and trust grow alongside it, and what role do we each play in shaping that future? Useful Links Connect With Diya Wynn AWS Responsible AI Tech Talks Daily is sponsored by Denodo

What does it really mean to support developers in a world where the tools are getting smarter, the expectations are higher, and the human side of technology is easier to forget? In this episode of Tech Talks Daily, I sit down with Frédéric Harper, Senior Developer Relations Manager at TinyMCE, for a thoughtful conversation about what it takes to serve developer communities with credibility, empathy, and long-term intent. With more than twenty years in the tech industry, Fred's career spans hands-on web development, open source advocacy, and senior DevRel roles at companies including Microsoft, Mozilla, Fitbit, and npm. That journey gives him a rare perspective on how developer needs have evolved, and where companies still get it wrong. We explore how starting out as a full-time developer shaped Fred's approach to advocacy, grounding his work in real-world frustration rather than abstract messaging. He reflects on earning trust during challenging periods, including advocating for open source during an era when some communities viewed large tech companies with deep skepticism. Along the way, Fred shares how studying Buddhist philosophy has influenced how he shows up for developers today, helping him keep ego in check and focus on service rather than status. The conversation also lifts the curtain on rich text editing, a capability most users take for granted but one that hides deep technical complexity. Fred explains why building a modern editing experience involves far more than formatting text, touching on collaboration, accessibility, security, and the growing expectations around AI-assisted workflows. It is a reminder that some of the most familiar parts of the web are also among the hardest to build well. We then turn to developer relations itself, a role that is often misunderstood or measured through the wrong lens. Fred shares why DevRel should never be treated as a short-term sales function, how trust and community take time, and why authenticity matters more than volume. From open source responsibility to personal branding for developers, including lessons from his book published with Apress, Fred offers grounded advice on visibility, communication, and staying human in an increasingly automated industry. As the episode closes, we reflect on burnout, boundaries, and inclusion, and why healthier communities lead to better products. For anyone building developer tools, managing technical communities, or trying to grow a career without losing themselves in the process, this conversation leaves a simple question hanging in the air: how do we build technology that supports people without forgetting the people behind the code? Useful Links Connect with Frédéric Harper Learn More About TinyMCE Tech Talks Daily is sponsored by Denodo

What does it really take to build a fintech company that quietly fixes one of the most frustrating problems SMEs face every day? In this episode of Tech Talks Daily, I'm joined by Pierre-Antoine Dusoulier, the Founder and CEO of iBanFirst, for a candid conversation about entrepreneurship, timing, and why cross-border payments have remained broken for so long.  Pierre-Antoine's story begins in London, where his early career as an FX trader felt like a compromise at the time, yet quietly gave him a front-row seat to inefficiencies most people accepted as normal. That experience would later shape two companies and a very clear point of view on how money should move across borders. Pierre-Antoine walks through his first venture, Combeast.com, one of France's earliest FX brokerages for retail investors, and what he learned from selling it to Saxo Bank and staying on to run Western European operations. That chapter matters, because it exposed the gap between how sophisticated FX markets really are and how poorly SMEs are served when FX and payments are bundled together inside traditional banks. Out of that frustration, IbanFirst was born in 2016 with a simple idea: treat cross-border payments as a specialist discipline, not a side feature. Today, IbanFirst serves more than 10,000 clients across Europe and processes over €2 billion in transactions every month. We dig into why growth has continued while many fintechs have slowed, from a product designed to be used daily, to proactive sales, to a new generation of CFOs and CEOs who expect the same clarity and speed at work that they get from consumer fintech tools.  Pierre-Antoine explains how real-time FX rates, payment tracking using SWIFT GPI, and multi-entity account management change the day-to-day reality for SMEs trading internationally. We also talk about Brexit, and how being rooted in continental Europe created an unexpected opening. Pierre-Antoine shares why expanding into the UK, including the acquisition of Cornhill, made sense, and why London's payments ecosystem still stands apart in scale and depth. Along the way, he is refreshingly open about the heavy investment required in compliance, trust, and regulation, and why nearly a third of IbanFirst's team focuses on operations and oversight. Looking ahead, Pierre-Antoine lays out a bold vision for the SME payments market, predicting a future where specialists replace banks in much the same way fintech reshaped consumer money transfers. As cross-border trade grows and currency volatility becomes a daily concern, his perspective raises an interesting question for anyone running an international business today:  if specialists already exist, why keep relying on systems that were never designed for how SMEs actually operate? Useful Links: Connect with Pierre-Antoine Dusoulier Learn more about iBanFirst, Tech Talks Daily is sponsored by Denodo

What happens when artificial intelligence moves faster than our ability to understand, verify, and trust it? In this episode of Tech Talks Daily, I sit down with Alexander Feick from eSentire, a cybersecurity veteran who has spent more than a decade working at the intersection of complex systems, risk, and emerging technology. Alex leads eSentire Labs, where his team explores how new technologies can be secured before they quietly become load-bearing parts of modern business infrastructure. Our conversation centers on a timely and uncomfortable reality. AI is being embedded into workflows, products, and decision-making systems at a pace most organizations are not prepared for. Alex explains why many AI failures are not caused by malicious models or dramatic breaches, but by broken ownership, invisible dependencies, and a lack of ongoing verification. These are not technical glitches. They are organizational blind spots that quietly compound risk over time. We also explore the ideas behind Alex's recently published book on trust and AI, which he made freely available due to the speed at which real-world AI failures were already overtaking theory. From prompt injection and model drift to the dangers of treating non-deterministic systems as if they were predictable software, Alex shares why generative AI requires a fundamentally different security mindset. He draws a clear distinction between chatbot AI and embedded AI, and explains the moment where trust quietly shifts away from humans and into systems that cannot take accountability. The discussion goes deeper into what trust actually means in an AI-driven organization. Alex argues that trust must be earned, measured, and monitored continuously, not assumed after a successful pilot. Verification becomes the real work, not generation, and leaders who fail to recognize that shift risk scaling errors faster than they can contain them. We also talk about why he turned his book into an AI advisor, what that experiment revealed about the limits of models, and why human responsibility cannot be automated away. This is a grounded, practical conversation for leaders, technologists, and anyone deploying AI inside real organizations. If AI is becoming part of how decisions get made where you work, how confident are you that someone truly owns the outcome? Useful Links Connect with Alexander Feick Learn more about eSentire Tech Talks Daily is sponsored by Denodo

How much value do your developers actually get to deliver in a typical week, and how much of their time is quietly lost to meetings, context hunting, and process drag? I'm joined by Phil Heijkoop, Global Practice Head of Developer Experience at Valiantys, for a conversation that cuts through the hype surrounding AI and asks a harder question about why so many engineering teams still struggle to see meaningful returns.  Phil argues that most organizations are only unlocking a small fraction of a developer's true contribution, not because of a lack of talent, but because process drag slowly squeezes out deep, focused work. AI, he explains, does not fix this by default. Without the right foundations in place, it simply accelerates the wrong work at scale. We explore the long shadow cast by the "move fast and break things" mindset and why that philosophy becomes risky inside regulated, enterprise environments where resilience and trust matter more than speed alone. Phil shares what he sees when organizations chase shiny new tooling while ignoring technical debt, unclear standards, and fragile workflows.  From protecting uninterrupted time for deep work to automating manual friction points and setting shared guardrails, he outlines how teams can realistically unlock three to five times more output before AI even enters the picture. Only then, he says, does AI act as a multiplier rather than a source of chaos. The conversation also digs into developer experience as a business lever, not a perk, and why leadership clarity, cultural trust, and consistent standards matter as much as tooling choices. We discuss the growing risks in the software supply chain, the sustainability of open source dependencies, and what recent high-profile retirements signal for enterprise teams that depend on them.  If AI is accelerating your organization in the wrong direction, what foundational changes would you need to make today to ensure it amplifies value instead of friction, and how honest are you willing to be about what is really slowing your teams down? Useful Links Connect with Phil on LinkedIn Learn more about Phil's work Valiantys Website Tech Talks Daily is sponsored by Denodo