Tech Talks Daily

In this engaging discussion, Ben Edwards, a Principal Research Scientist at BitSight with expertise in cybersecurity data, delves into the unseen vulnerabilities in global supply chains. He highlights the misconception that larger tech providers are inherently safer, revealing how complexity can increase risks. The talk also uncovers the reliance on military-linked companies within UK and US supply chains, posing not only cybersecurity threats but geopolitical ones too. Ben emphasizes the crucial role of smaller vendors that, despite being lesser-known, significantly influence various sectors.

IT support is changing fast, and the old service desk model is starting to feel like a relic from another era. In this episode, I spoke with Samuele Gantner, Chief Product Officer at Nexthink, about what comes next and what companies need to do now to prepare for it. With Nexthink sitting at the forefront of Digital Employee Experience (DEX) technology, Samuele offers a grounded, thoughtful look at what a "ticketless" future might look like. One of the boldest predictions shared is a 90 percent reduction in IT support tickets by 2027. That is not marketing spin. It's a vision rooted in practical shifts toward proactive support, real-time observability, and AI-powered automation. Samuele explains how organizations can move away from reactive models by embracing intelligent agents that solve problems before a ticket is even raised. Instead of asking employees to fix things themselves, IT support is quietly transforming into something far more sophisticated and intuitive. We talked about what drives this change, from millennial and Gen Z expectations to the technological leap enabled by large language models and automation. Samuele breaks down why old attempts at self-service failed and how today's AI agents are finally equipped to handle objective complexity with empathy, scale, and context. He also shares examples that bring this future to life, including a retailer that avoided a costly outage through predictive alerts, a healthcare provider saving millions through experience-driven device refreshes, and an energy firm preventing disaster in a virtual desktop environment. These are not theoretical case studies. They are live proof that DEX is not just buzz. It works. We also explored what skills IT teams need to thrive in this shift. It is not all about tech. Emotional intelligence, cross-functional collaboration, and a proactive mindset are just as important. Whether you're a CIO or a support engineer, there is something here that will challenge how you think about IT's role in the business.  

Chris Moore, President of Europe at Veeva Systems, shares insights from his extensive experience in pharmaceuticals and consulting. He discusses the transformative role of agentic AI in pharma while navigating stringent regulations like the EU AI Act. Chris highlights Veeva's innovative cloud platform that seamlessly integrates AI into workflows, enhancing compliance and efficiency. He also emphasizes the importance of customer feedback and collaboration in developing AI solutions, offering a fresh perspective on the industry's evolving landscape.

In this discussion, Shawn Spurko, VP of Information and Cybersecurity at Innovation Federal Credit Union, shares his transformative journey in cybersecurity. He emphasizes redesigning security for a hybrid workforce, highlighting the transition from provincial to federal regulations. Spurko advocates for user-friendly security and zero trust principles, showcasing how modern solutions can streamline operations and enhance compliance. With insights from his experience at Cisco Live, he underscores the importance of balancing security with a seamless user experience in today’s digital age.

In this conversation with Alberto Prado, Unilever's Head of Digital and Partnerships for R&D, listeners explore the company's revolutionary use of AI to enhance everyday products. Alberto reveals how AI drives more than 400 innovations, from personalized skincare to sustainable materials. He discusses the integration of machine learning in microbiome research and highlights the groundbreaking POND’S Microbiome Analyzer for tailored skincare. The discussion also touches on digital testing and the exciting future of AI in product development, showcasing Unilever’s commitment to innovation.

What does it take to build a $100 billion cybersecurity company in today’s cloud-first, AI-infused world? And how do you balance relentless technological change with the practical realities of compliance, risk, and leadership? In this episode of Tech Talks Daily, I sit down with Sumedh Thakar, CEO of Qualys, during his visit to the UK for the company’s QSC conference. From starting out as one of Qualys’ first engineers to leading the company through a new era of risk-centric cybersecurity, Sumedh brings a unique blend of technical insight and lived experience. We discuss why compliance remains such a challenge for enterprises, how the conversation is shifting from attack surfaces to risk surfaces, and why many businesses are overwhelmed by security signals but underwhelmed by strategic clarity. Sumedh shares his view on the growing importance of the Risk Operations Center (ROC) and how AI is complicating risk profiles in new and unpredictable ways. He also reflects on the future of cloud security and why the market remains wide open for innovation, even as it becomes more crowded. Beyond the tech, Sumedh opens up about his personal journey from Pune to Silicon Valley, how a threatened farm purchase changed his life, and why leadership is ultimately a game of time, trust, and communication. He leaves us with a powerful book recommendation, Nonviolent Communication by Marshall Rosenberg, which he credits with transforming his leadership style and helping him build stronger relationships across the board. Are we thinking about risk in the right way or simply throwing money at the latest acronyms? And how do you build a meaningful legacy in cybersecurity without losing sight of the human side? Join the conversation and let me know what resonated with you most.

Are we preparing people as quickly as we’re preparing machines? That’s the uncomfortable question at the heart of Coursera’s 2025 Global Skills Report, and the starting point for my conversation with Nikolaz Foucaud, Coursera’s Managing Director for EMEA. As the UK jumps more than 20 spots in global skills rankings and countries like Singapore and Denmark widen the gap with lifelong learning cultures, we explore why mindset may be as important as access when it comes to reskilling for an AI-driven economy. Nikolaz explains how the newly introduced AI Maturity Index reflects the growing urgency around workforce readiness and why governments and employers need to stop thinking in degrees and start investing in micro-credentials that reflect what learners and businesses actually need. We also unpack the gender gap in AI learning, the alarming lack of growth in cybersecurity skills, and why economic pressure often drives the highest levels of completion and success. As institutions, employers, and individuals try to catch up with the pace of technological change, what will it take to build a learning culture that keeps momentum? And are we measuring the right things when we talk about readiness? Let me know what you think.

What happens when AI moves from experimental tool to everyday shopping assistant? In this episode of Tech Talks Daily, I’m joined by Liva Ralaivola, Head of the Criteo AI Lab, to unpack how artificial intelligence is reshaping the way we discover, compare, and purchase products online. Speaking to me from the south of France, Liva shares insights from Criteo’s latest consumer research, revealing that 91 percent of shoppers expect AI-personalised recommendations within the next two years. We explore why that shift is happening so quickly, what it means for retailers, and the challenges of balancing innovation with transparency. From price comparisons to budget planning and dynamic creative generation, shoppers are already using AI tools in ways that few could have predicted even a year ago. We also discuss the complexity of integrating AI into retail environments, where business constraints, stock levels, and customer expectations vary dramatically. Liva highlights how Criteo is tailoring deep learning models to improve relevance, optimise campaigns, and support ethical outcomes. He also explains why AI is not yet plug-and-play, and why collaboration between AI specialists and business teams is key to unlocking real value. Looking ahead, Liva shares his thoughts on how data may evolve into a kind of personal currency, with users controlling what they share and how much personalisation they receive. From AI wallets to loyalty programs driven by interaction history, the landscape is changing fast—and businesses need to be ready. So what’s your take? Are consumers ready to control their own data in exchange for more relevant experiences? And how should retailers rethink personalisation in an age of growing privacy expectations? Let me know your thoughts and join the conversation.

How do we prepare for a world where AI agents work together, networks think for themselves, and quantum teleportation is no longer just science fiction? I recently caught up once again with Vijoy Pandey, SVP and GM of Outshift by Cisco, live at Cisco Live in San Diego, for a wide-ranging conversation about what comes next at the edge of AI and quantum innovation. We begin with Cisco’s evolving quantum strategy and the recent unveiling of its Quantum Network Entanglement chip, a research prototype capable of generating 200 million entangled photons per second over standard telecom infrastructure.  Vijoy explains how this chip, along with new research at Cisco’s lab in Santa Monica, brings us closer to distributed quantum computing by connecting compute nodes and scaling quantum capabilities beyond the lab. Even more interestingly, these quantum foundations are already demonstrating value in classical use cases, such as eavesdropping detection and real-time coordination. Our conversation also explores the momentum behind agentic AI. Rather than single prompts triggering single outputs, the future lies in distributed ecosystems of intelligent agents that work together to solve complex business problems.  Vijoy introduces Cisco’s vision for the Internet of Agents, supported by an open-source collective called AGNTCY. It is designed to help diverse agents communicate, collaborate, and operate with trust and transparency across cloud environments and organizational boundaries. Throughout our conversation, Vijoy focuses on the practical impact rather than hype. From network automation and SRE workflows to use cases in cybersecurity and infrastructure management, he highlights how these technologies are being applied in real-world scenarios, not just theorized. His team at Outshift is building the connective tissue that brings these innovations to life inside the enterprise. So what do you think? Are quantum networking and AI agents a part of your roadmap? And what steps can businesses take today to ensure they are building on trustworthy, open, and scalable foundations? Join the conversation and share your perspective.

In this episode of Tech Talks Daily, I sit down with Candice DeVille, co-founder and CEO of AI Copilot, who joined me remotely from the serene gardens of Osaka Castle in Japan, where tech meets tradition in one of the most unexpected podcast backdrops we've had. Candice is on a mission to redefine how small and medium-sized businesses approach AI, treating it not as a trend but as a practical strategy for growth and efficiency. Throughout our conversation, she draws on decades of experience in marketing, media, and digital strategy to explain how SMEs can move away from fear-driven stagnation or scattered adoption and toward a structured, ROI-focused roadmap. We explore the practical challenges that come with implementing AI, from dealing with siloed data and low AI literacy to helping teams embrace change. Candice explains why many organizations fail at AI not because of the tools, but because they overlook the human element. Creating a team of AI champions, especially outside of traditional IT roles, can unlock powerful opportunities by tapping into the unique insights held across the business. A standout moment in our discussion is a case study involving a maintenance company that used AI to automate debt collection. The result wasn't just improved cash flow but something far more personal: their CFO regained two full days per week and used that time to spend with his family. It's a simple example of AI driving real outcomes for both business performance and quality of life. We also discuss common traps like shiny object syndrome, lack of planning, and the hype around agents. Candice encourages business leaders to first get their data in order, take a phased approach, and resist the urge to solve everything at once. Her advice is clear: start with what matters, measure impact, and build from there. So how do you turn AI into a business advantage without overwhelming your team or your budget? And how can you ensure that your approach to technology actually enhances the human side of work? Let’s find out.