Tech Talks Daily

In today's episode of Tech Talks Daily, I sat down with Alberto Prado, Head of Digital and Partnerships for R&D at Unilever, to explore how one of the world's largest consumer goods companies is reimagining innovation using AI. And not just in theory or in labs. This is technology already transforming the stuff most of us use every single day.

From Dove body wash to Knorr stock cubes, Unilever products reach more than 3.4 billion people globally. That scale makes their R&D choices deeply relevant to how we live. What stood out in this conversation is how deeply integrated AI has become across their research efforts. This isn't about one flashy pilot project. Unilever currently runs over 400 AI initiatives across areas like microbiome science, biotechnology, and next-generation materials. Each one is focused on improving product performance, making items more sustainable, or creating personalized experiences for consumers.

Alberto shared how Unilever's decades-long microbiome research is being accelerated through machine learning and high-performance computing. With over 30 terabytes of data and more than 100 patents, the company now holds one of the largest collections of human microbiome data in the world. That insight has directly influenced products like Dove and Vaseline and has led to innovations like the POND'S Microbiome Analyzer, which offers personalized skincare recommendations within an hour.

In the field of biotechnology, Unilever is working with partners like Arzeda to create enzymes that outperform traditional cleaning agents, all while being more sustainable. A great example is the breakthrough behind RhamnoClean technology in Sunlight dishwashing liquid. By mimicking natural fermentation processes, Unilever can now produce bio-based surfactants that clean effectively, reduce water use, and are kinder to the planet.

We also discussed how AI-driven virtual testing is replacing thousands of physical prototypes. This shift is helping Unilever rapidly develop new products like the Wonder Wash laundry detergent and Knorr's Zero Salt Cube. Alberto explained how digital models can simulate everything from stain removal in different wash cycles to how a cube holds together without salt, long before any physical version is made.

And then there's the R&D Assistant, Unilever's own AI-powered co-pilot built in partnership with Microsoft. It connects over 150,000 scientific documents from across a century of research, letting scientists query insights in natural language. For Unilever's 5,000 researchers, it's not just a time saver. It's changing how they discover, collaborate, and innovate.

This episode is a window into how legacy companies can drive transformation from within. Innovation isn't just happening in new industries or through startup culture.

Sometimes it's happening inside a washing machine cycle or a bottle of shampoo. So the question is, what can other large-scale enterprises learn from the way Unilever is scaling AI across its entire product development ecosystem?

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.

In this episode of Tech Talks Daily, I speak with Syed Zaeem Hosain, Founder and Chief Evangelist at Aeris.

This conversation comes at a critical moment. Deloitte's 2024 Cyber Threat Trends Report reported a 400 percent surge in IoT malware attacks across industries. Forrester has gone further, warning that a major IoT breach could disrupt a large class of devices by 2025. With the stakes higher than ever, my guest shares his vision for protecting a hyperconnected world.

We explore the growing risks in sectors like healthcare, energy and transportation, where compromised devices could have serious real-world impact. He also explains why IoT security can no longer be treated as an afterthought and how Aeris is tackling the problem with AI-powered solutions like IoT Watchtower, designed to detect and respond to threats at scale.

He also addresses the shifting regulatory landscape, from the EU's NIS2 Directive to the upcoming Cyber Resilience Act. These frameworks are beginning to push organisations toward stronger protections and greater accountability. But are they moving fast enough?

My guest outlines where he believes the future of IoT security is heading and what enterprises need to do now to avoid being caught off guard. From embedded AI to next-generation cellular infrastructure, this is a conversation that connects the dots between innovation, risk and responsibility.

So how prepared is your organisation for the coming wave of IoT threats? Are we securing what matters most, or sleepwalking into a preventable crisis?

Let me know what you think. Is IoT security finally getting the attention it deserves, or are we still too focused on convenience over caution? Join the conversation and share your thoughts.

In this episode of Tech Talks Daily, I'm joined by Gus van Rijckevorsel, the energetic new CEO of Ultra, who's on a mission to redefine how we access, experience, and value games. Speaking from the sunny backdrop of Nice, Gus shares why now is the moment for Europe to stop playing catch-up and start leading the charge in shaping the future of on-chain gaming, digital ownership, and platform sovereignty.

Backed by a fresh $12 million in funding, Ultra is not trying to be a better version of Steam. It wants to be something entirely different. Gus pulls no punches on the complacency of today's dominant platforms. He explains why Ultra's "super app" approach, blending social interaction, gameplay, creator tools, and blockchain infrastructure, is uniquely positioned to serve today's evolving gamer. This includes not just players, but watchers, creators, and earners.

We explore what makes Europe the perfect launchpad for Ultra's ambitions. From its dynamic tech ecosystem to the growing urgency around digital sovereignty, Gus argues this is no longer just a business case. It is a political and strategic necessity. He outlines how Web3 can quietly enhance gaming without overwhelming users, and why the traditional idea of play-to-earn needs a serious rethink. For Gus, recognition and reputation matter more than speculative tokens.

We also discuss what success looks like for Ultra. For Gus, this is not a gradual climb. It will either be massive or it will not exist at all. Along the way, he shares his personal story of being drawn back into the world of company building after vowing never to do it again. And why this particular "unpolished diamond" was impossible to ignore. So is it finally time for a European challenger to rewrite the rules of gaming? Can a platform that puts value creation at its core break through the dominance of established players?

Let me know your thoughts. Is Ultra the fresh start gaming needs, or is the market simply too entrenched to shift? Join the conversation and tell us what you think.

What if the songs we love and the artists behind them could finally be compensated fairly, across every platform, every play, and every country? In today's episode, I sit down with Michael Huppe, President and CEO of SoundExchange, to unpack how this music tech nonprofit is challenging the very foundations of how royalties are calculated and distributed.

Michael shares how SoundExchange, which has now distributed over $12 billion to artists and rights holders, is not just administering royalties but actively shaping the policies and technologies that govern the future of music. We explore their groundbreaking use of AI for fraud detection and royalty matching, as well as the advocacy behind the American Music Fairness Act, a long-overdue effort to ensure artists are paid for terrestrial radio plays, a right still denied in the US but granted nearly everywhere else.

The conversation turns toward the growing tension between innovation and creator protection in the age of generative AI.

Michael discusses how SoundExchange is balancing these forces by backing ethical standards like the Human Artistry Campaign and lobbying for policies that prioritize consent, credit, and compensation. He also touches on fascinating use cases for AI in music, such as voice localization, signature sound licensing, and even resurrecting voices of beloved artists like Randy Travis.

We also discuss SoundExchange's vision for the future, one where its expertise in large-scale, data-driven payouts could help solve the thorny question of compensating artists whose works are used to train generative AI models. From indie musicians to global superstars, the impact of this work is vast, nuanced, and increasingly urgent.

So, how do we build a future where technology and creativity can coexist and both thrive? And who's making sure the voices behind our favourite tracks aren't lost in the noise of innovation?

I'd love to hear your thoughts. Are we doing enough to protect artists in the digital era? Let me know

After meeting on the IT Press Tour, I enjoyed a conversation with Michael Wu, President and General Manager of Phison US, about the revolutionary advances in AI-enabled storage technology.

We begin by exploring Phison's AdaptivePlus platform and its integration with StoreOne's AI solution, making AI training more accessible and affordable for businesses. We also discuss the technical innovations behind their storage-based AI acceleration, including their new E28 controller and Pascari SSDs.

Finally, we discuss the future of AI workloads and how Phison's technology is preparing to handle models with up to 2 trillion parameters. This episode is packed with insights for IT leaders, business executives, and anyone interested in the intersection of storage technology and artificial intelligence.