Tech Talks Daily

Neil C. Hughes

If every company is now a tech company and digital transformation is a journey rather than a destination, how do you keep up with the relentless pace of technological change?

Every day, Tech Talks Daily brings you insights from the brightest minds in tech, business, and innovation, breaking down complex ideas into clear, actionable takeaways.

Hosted by Neil C. Hughes, Tech Talks Daily explores how emerging technologies such as AI, cybersecurity, cloud computing, fintech, quantum computing, Web3, and more are shaping industries and solving real-world challenges in modern businesses.

Through candid conversations with industry leaders, CEOs, Fortune 500 executives, startup founders, and even the occasional celebrity, Tech Talks Daily uncovers the trends driving digital transformation and the strategies behind successful tech adoption. But this isn't just about buzzwords.

We go beyond the hype to demystify the biggest tech trends and determine their real-world impact. From cybersecurity and blockchain to AI sovereignty, robotics, and post-quantum cryptography, we explore the measurable difference these innovations can make.

Whether improving security, enhancing customer experiences, or driving business growth, we also investigate the ROI of cutting-edge tech projects, asking the tough questions about what works, what doesn't, and how businesses can maximize their investments.

Whether you're a business leader, IT professional, or simply curious about technology's role in our lives, you'll find engaging discussions that challenge perspectives, share diverse viewpoints, and spark new ideas.

New episodes are released daily, 365 days a year, breaking down complex ideas into clear, actionable takeaways around technology and the future of business.

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2,001 episodes
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Episodes2001

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Jul 27, 2025 · 31 min
3362: Inside LVT's Mission to Deter Crime Before It Happens With Tech
In a digital-first world where cybersecurity often dominates headlines, the conversation around physical security can sometimes feel like an afterthought. But what if technology could bring a new level of intelligence, proactivity, and efficiency to protecting real-world environments? In this episode, I sat down with Ryan Porter, co-founder and CEO of LVT, to learn how his team is reshaping physical security through innovation rooted in both technology and field experience. What began in Ryan's garage as a way to monitor construction projects through live video has evolved into a powerful enterprise platform used by 30 of the Fortune 50. LVT provides mobile security units equipped with cameras, lights, solar power, and edge-based AI capabilities that don't just observe but actively deter criminal behavior. From parking lots to retail environments, and even the Super Bowl, LVT's presence is being felt wherever safety is at risk. Our conversation uncovered how LVT's approach differs from traditional reactive security models. Rather than reviewing footage after incidents happen, LVT creates controlled environments designed to prevent events before they occur. This shift toward deterrence, combined with a visible and multi-sensory presence, is producing measurable results. In cities like Paducah and Opelika, LVT's Access Task Force program contributed to a ten percent reduction in citywide crime. We also explored how the company overcomes the challenges of deploying AI in environments with limited power and bandwidth. By running intelligent models on edge devices, LVT delivers real-time insights in places that lack the infrastructure for heavy cloud computing. The result is a system that delivers value instantly, improves business intelligence, and enhances community safety. This is not just about technology for its own sake. It is about building systems that serve people, keep environments secure, and foster collaboration between businesses, law enforcement, and local communities. How are you using technology to create safer, smarter spaces in the real world?
Jul 27, 2025 · 24 min
3361: Why AidKit Built a Tech Platform for Equitable Aid Distribution
In today's episode of Tech Talks Daily, I connected with Brittany Christenson, CEO of AidKit, to explore how cutting-edge technology is being used not to disrupt markets or chase margins, but to deliver real, measurable social impact. AidKit is a public benefit corporation building infrastructure that helps vulnerable communities access aid quickly, securely, and with dignity. While many tech conversations orbit around scale and efficiency, Brittany brings a different kind of energy, one grounded in values, user empathy, and purpose-built innovation. She shared how AidKit's journey began as a nonprofit initiative during the pandemic, evolved into a for-profit startup to attract engineering talent, and most recently achieved B Corp certification, reinforcing its long-term commitment to balancing people, planet, and profit. We discussed what dignity and equity look like in real-world software experiences, and how user-centric design can transform burdensome forms and gatekeeping processes into streamlined, accessible interfaces that actually work for people in need. Aidkit doesn't stop at technology. Their model also includes multilingual support, advisory councils made up of program beneficiaries, and robust fraud prevention tools that protect both funds and privacy. One of the standout takeaways was how Brittany views trust and transparency as core features, not afterthoughts. Governments rely on Aidkit to deliver programs with high stakes and public scrutiny, and that trust is earned through a combination of technical competence, clear communication, and reliable systems. AidKit is already supporting over 200 agencies and nonprofits, has processed more than half a million applications, and recently surpassed 330 million dollars in aid disbursements, including nine million dollars in a single week. This conversation is not just about scaling a social impact startup. It is about leading with conviction, refusing to compromise mission for growth, and using the best of what technology offers to serve communities with care. How can your tech strategy support social outcomes without losing sight of the people it's built for?
Jul 26, 2025 · 29 min
3360: How Certinia Is Bringing AI Agents Into Professional Services at Scale
When we talk about the future of enterprise software, AI is front and center. But behind the buzzwords, real transformation is happening in how businesses plan, execute, and deliver professional services. In this episode, I sat down with Raju Malhotra, Chief Product and Technology Officer at Certinia, to explore how AI is shifting from theory to practice in high-scale environments. Certinia, a native ISV on Salesforce, is helping global tech and service firms like Cisco, Siemens, and PwC automate their services operations. With over two million users and six million active projects, the platform isn't just adding AI for the sake of it. It's embedding it directly into workflows to solve tangible business challenges. Raju shares a clear framework for understanding how different types of AI are being implemented. Predictive AI is already deeply integrated into enterprise processes. Generative AI is gaining traction for simplifying content and communication. Agentic AI, the most recent frontier, enables digital agents to complete complex tasks independently within enterprise guardrails. What stood out in our conversation was the emphasis on outcomes over features. Raju makes a compelling case for starting every technology decision by understanding the customer's goals. Certinia's approach avoids chasing trends for the sake of headlines. Instead, the focus is on delivering results like improved margins, higher resource utilization, and smarter project delivery. We also discussed Certinia's early adoption of Salesforce's Agent Force and how their team works closely with Salesforce engineering to align on AI strategy. Rebranding their ERP Cloud to Financial Management Cloud was another move that reflects their sharper focus on services-centric financials, rather than trying to be everything to everyone. There's a clear message in this conversation. Innovation in AI must be matched with investment in performance, latency, scale, and user experience. For any tech leader navigating the AI landscape, Raju's insights provide a grounded, real-world guide. How are you aligning your AI investments with measurable business outcomes?
Jul 26, 2025 · 43 min
3359: Exploring Legal Innovation with the National Association of Licensed Paralegals (NALP)
In this episode of Tech Talks Daily, I had the opportunity to sit down with Amanda Hamilton, patron and director at the National Association of Licensed Paralegals (NALP). While many of our discussions often focus on cutting-edge technology and digital transformation, today's conversation tackled a very different kind of disruption, one happening quietly in the legal industry. The legal landscape in the UK has shifted dramatically over the last decade, particularly following the 2013 legal aid cuts. This policy change left many without affordable access to legal representation. Amanda walks us through how the paralegal profession stepped in to fill that gap, providing legal support at lower costs while still maintaining high standards of professionalism and care. What stood out was how NALP functions as a voluntary regulatory body, offering credibility and structure to a sector that otherwise lacks statutory regulation. We also explore how AI and digital tools are reshaping legal work. Amanda offers a grounded view on where technology helps and where it still cannot replace human expertise. From virtual hearings during the pandemic to the efficiency gains through email and digital collaboration, the legal profession is gradually adapting. Amanda stresses the importance of using technology thoughtfully, especially in situations where personal judgment and contextual understanding are critical. Another important theme was transparency and trust. The National Paralegal Register is a public tool that allows individuals and employers to verify the qualifications and membership levels of licensed paralegals. Amanda believes this kind of openness is vital to building awareness and confidence in the services paralegals can offer. So, whether you're exploring legal tech, building new professional services, or facing legal challenges yourself, this conversation sheds light on the growing role of paralegals in today's evolving legal system. How is your industry approaching transparency, training, and the impact of emerging technologies?
Jul 25, 2025 · 27 min
3358: Pearson Research Challenges the Myth of AI Replacing Tech Jobs
What if the average UK tech worker could reclaim almost an entire workday each week without extra hours simply by harnessing AI tools like ChatGPT and robotic process automation more effectively? In this episode, I sit down with Oliver Latham from Pearson's Enterprise Learning and Skills division, to unpack research revealing how intelligent automation frees tech professionals from repetitive tasks and opens space for creative strategic collaboration. Instead of fuelling fears of mass job losses, the data reveals a more optimistic human‑centred view of how AI will reshape roles, reshuffling responsibilities rather than replacing people. Oliver and I discuss which tasks are most ripe for automation, for example code refactoring to backup procedures, and how that shift could alleviate the UK's tech skills shortage by letting workers focus on high impact projects. We weigh potential challenges too and note that organisations will need to rethink job design, invest in upskilling power skills such as communication and learning agility and build a culture of continuous development. As we look ahead we explore how large language models and robotic process automation differ in their impact across roles, why learning cultures must evolve to deliver micro learning at the point of need alongside robust credentials and how teams can reorganise around a new division of labour that includes both human and AI agents. Oliver offers practical advice for tech leaders wondering where to start and how to maintain agility as change accelerates. If you've ever felt overwhelmed by AI hype or are curious how automation could give you back precious hours each week, this conversation offers fresh perspectives on AI's real value in tech. How would you redesign your job if you had an extra day each week, what would you stop doing and what would you start?
Jul 24, 2025 · 24 min
3357: Can AI Save Small Businesses? Homebase CEO on Empowering the Underdog
What if the biggest leap forward for small businesses wasn't about selling more, but reclaiming time? In this episode of Tech Talks Daily, I sit down with John Waldmann, CEO and co-founder of Homebase, to unpack how AI isn't just a Silicon Valley toy for large enterprises but a lifeline for the millions of small businesses keeping local economies afloat. John explains how Homebase's newly launched AI Assistants are transforming everyday operations, automating hiring, scheduling, and admin tasks that once drained hours from already stretched owners and managers. But this is more than a tech play. John shares why he's spent his career championing small business owners, and how Homebase is designed with them, not just for them. We explore how generative AI and real-time personalization are lowering the barrier of entry to entrepreneurship, and why small businesses might actually be outpacing the big players in adopting AI with creativity and speed. From the realities of running a restaurant to designing software that respects the nuances of hourly work, John's perspective offers a refreshing reminder that the goal of AI isn't to replace people. It is to give them more space to do what makes their business special. Could AI finally tilt the playing field in favour of small businesses? And are we doing enough to ensure that human-first values stay at the centre of this technological shift? Listen in, then let us know how you see AI transforming the small business landscape in your world.
Jul 23, 2025 · 24 min
3356: What Moodle Teaches Us About the Future of Open Learning
What if the key to global access to high-quality education isn't policy reform or private investment, but open source software? In this episode of Tech Talks Daily, I sit down with Scott Anderberg, CEO of Moodle, to explore how one of the world's most widely used learning platforms is quietly transforming education in ways that extend far beyond the classroom. Scott's journey is anything but linear. From helpdesk support in Denver to leading online education efforts across the US, UK, and Australia, his international experience has shaped a clear mission: to make education more accessible, more inclusive, and more creative. His role at Moodle aligns perfectly with that goal. We discuss what open source really means in the context of education and why it continues to be misunderstood. Scott explains how Moodle's global community of developers and educators contributes everything from security-tested code to deeply localised customisations that enable learning to happen anywhere, even in places without electricity. Projects like MoodleBox and the Inventorium for at-risk students in Australia reveal the power of local innovation when built on flexible, open platforms. Scott also outlines Moodle's measured approach to AI, focusing on what delivers actual value. Rather than embedding generative tools for novelty, they've released an AI subsystem that allows the community to experiment and share what works. This model not only encourages innovation but also respects the diverse regulatory, cultural, and economic environments their users operate within. Throughout the conversation, we explore the myths that often discourage adoption of open source solutions. Security, support, and scalability are frequently raised, but Scott shows how Moodle's global ecosystem consistently challenges those assumptions. Innovation doesn't have to be proprietary or top-down. In fact, when communities co-create solutions, the results are often more resilient and more relevant. We close with a powerful reflection on the importance of diversity in both tech and education. While some organisations are becoming hesitant to talk about inclusion, Scott argues that now is the time to stand firm. Education is about connection, and you cannot truly connect people if only a narrow group is included in the conversation. Open platforms like Moodle make it possible to include everyone, not just in theory but in practice. So can open source help us rebuild education in a way that is genuinely inclusive and globally relevant? Or are there still barriers that need to be broken? I'd love to hear your thoughts. What role should open platforms play in shaping the next chapter of learning?
Jul 22, 2025 · 30 min
3355: How TravelPerk Is Balancing AI and Empathy in Business Travel
In this episode, I sit down with Robin Smith, Chief Technology Officer at TravelPerk, to hear how one of Europe's fastest-growing travel platforms is blending automation with empathy in a sector built on unpredictability. Robin shares how that continuity has shaped his view of disruption, from the rise of web and mobile booking to the rapid acceleration of cloud platforms and now AI. He explains why staying rooted in a single mission has helped him stay curious and open to change in a way frequent job hopping never could. We explore how TravelPerk is positioning itself as a consumer-grade experience built with business-grade rigour, serving mid-market companies that want seamless travel and expense tools without compromising on policies, duty of care, or integrations. Robin unpacks why large enterprises often lag in tech adoption and how nimble, decentralised teams are setting a new benchmark for innovation in corporate travel. The conversation dives into AI's growing role in travel, from Yokoy's AI driven expense automation to the company's internal enablement strategy powered by its partnership with 9x. But Robin also reminds us of something easy to forget amid all the hype: 31 percent of travelers still pick up the phone when disruption hits. The appetite for AI is growing, but human connection isn't going away. We also look at the invisible complexity behind making global travel feel simple, from airline add ons and multi country compliance to supporting collaborative group travel in a post pandemic world. Robin shares why the real challenge isn't building software, it's hiding the machinery behind a product that "just works." As we round off the conversation, Robin offers advice to engineers and product leaders hoping to follow a similar path. His takeaway is refreshingly honest: ignore most advice, and fall in love with the problem. It's not about replicating someone else's journey. It's about staying curious and building your own. So, will AI ever fully automate travel bookings or is the human touch still too valuable to leave behind? And what does building resilience look like when the rules of travel keep changing? Tune in and let me know what you think.
Jul 21, 2025 · 27 min
3354: Inside Mediaocean and its Vision for AI and Ad Tech
What happens when the world's most popular AI tools become ad platforms? That's the question I put to Aaron Goldman, CMO of Mediaocean, in a candid conversation about the future of advertising, search, and AI-native experiences. Aaron brings over two decades of industry insight to the table, sharing his perspective on how platforms like ChatGPT are becoming the next digital frontier, not just for consumer interaction but for ad monetization. As generative AI shifts from novelty to utility, the implications for marketers are profound. Google, Meta, OpenAI, and Perplexity are all experimenting with ways to integrate advertising without disrupting user experience. But what happens when the interface you trust for recommendations also serves you tailored promotions? We explore how AI can shape embedded ads, personalize intent-driven marketing, and even facilitate transactions within the prompt itself. Aaron also reflects on the rise of AIO (AI Optimization), what it means for traditional paid search, and how agencies must adapt to tools like Model Context Protocol to stay relevant. This episode isn't just about platforms and protocols. It's about empathy, creativity, and critical thinking in a world increasingly automated by algorithms. If AI becomes your co-pilot, how do you stay in the driver's seat? So what do you think? Will AI advertising be a seamless leap forward or the start of a trust crisis? Let me know your thoughts after the episode.
Jul 20, 2025 · 42 min
3353: Why the Human Experience Still Matters in a Machine-Led World
In this thought-provoking conversation, I'm joined by Kate O'Neill, author, speaker, and founder of KO Insights, to explore how leaders can make meaningful, human-centered decisions in a time of rapid AI adoption and organisational change. Known as the "Tech Humanist," Kate has helped everyone from Google and IBM to city governments navigate the evolving relationship between emerging technologies and the human experience. We discuss what it really means to create a future that aligns tech innovation with human values. Rather than racing ahead with AI for its own sake, Kate argues that every organisation needs to start by clearly articulating its strategic purpose in three to five words. From there, technology should be implemented to serve people, not just processes. Kate shares insights from her latest book What Matters Next, including how to define ethical acceleration, how to lead through tech transformations without breaking cultural trust, and why asking "should we?" is more important than "can we?" when it comes to deploying agentic AI. She also breaks down why traditional efficiency metrics fall short when applied to human work, and how business leaders can shift towards more meaningful measures of success. We also reflect on real-world case studies, from Apple's design clarity to Duolingo's missteps in announcing its AI-first strategy. And in a world where many are using AI to automate hiring, content creation, and even strategy, Kate reminds us that wisdom, nuance, and empathy are still irreplaceable. So what does ethical acceleration look like in practice? And as businesses lean into automation, are we keeping the human experience at the centre or just chasing what's technically possible? I'd love to hear your take on this. Is your organisation leading with purpose or with pressure? Let's continue the conversation.
Jul 20, 2025 · 22 min
3352: IoT, AI, and the Race for Supply Chain Visibility
In today's episode of Tech Talks Daily, I sit down with Ed Nabrotzky, CEO of Dot AI, to find out how a new generation of asset tracking technology is reshaping what's possible in logistics, operations, and enterprise strategy. Ed brings decades of experience as an executive and innovator in RF and IoT systems, and now leads Dot Ai at the intersection of artificial intelligence, patented hardware, and cloud-powered platforms. With global supply chains facing continued pressure from disruptions, tariffs, and rising customer expectations, Dot Ai is offering something many enterprises are still chasing: real-time visibility with context. But what sets Dot AI apart from other asset tracking providers is its full-stack approach, which combines AI, RFID, Bluetooth, and proprietary hardware to deliver predictive insights across the entire supply chain. During our conversation, Ed explained how Dot AI's model moves visibility from a passive reporting tool to an active intelligence layer for the business. He also shares the story behind their recent $175 million distribution agreement with Würth Industries, and what that level of demand signals about where the market is headed. We also explore the company's upcoming product rollouts, including ZiM Bridge, new IoT trackers, and a cloud platform built to scale. But what stands out most is Ed's broader vision for the sector. Drawing from past ventures and academic research, he reflects on what it takes to build resilient, tech-forward operations in a world increasingly shaped by automation, connectivity, and real-time data. How do we turn all that complexity into something simple and actionable? And what can other founders, tech leaders, and supply chain decision-makers learn from the Dot AI playbook? As always, I'll leave you with a question. As AI increasingly penetrates the physical world, are we doing enough to make our systems not only more innovative but also more transparent and accountable? Let me know your thoughts.
Jul 19, 2025 · 40 min
3351: Human-AI Collaboration Starts With Education
What happens when you bring together a practicing monk, a seasoned tech entrepreneur, and an AI education pioneer? In this episode of The Tech Talks Daily Podcast, I sit down with Prashant Raizada, the driving force behind Lumi Network, to explore how we can build a workforce ready for the AI era, not just in skills, but in mindset and purpose. Prashant shares how his journey from global banking and McKinsey to founding five startups worth over $2 billion eventually led him to education technology. But Lumi is not just another edtech venture. It's a mission-driven platform focused on upskilling the current and future workforce through human-AI collaboration, regional transformation initiatives like the Scale Up North East campaign, and a clear-eyed view of what education should look like in a rapidly changing world. We talk about the need to rethink our approach to curriculum design, the limits of traditional university models, and why collaboration between industry, academia, and government isn't just helpful, it's urgent. Prashant explains why AI isn't a threat to humans but an amplifier of our abilities when used with intention. And he shares how Lumi's "Quest" programme trains participants in collaborative problem-solving while subtly building the 12 essential skills for thriving in an AI-powered economy. We also tackle the bigger picture: why education has often been overlooked in AI investment conversations, and what needs to change for the sector to finally unlock the $10 trillion opportunity ahead of it. Prashant doesn't shy away from the challenges but makes a compelling case for why the UK could become a global exporter of a scalable, human-centric education model. So, what would it take to scale this nationally? And if we're serious about upskilling 7.5 million people by 2030, who's going to deliver it? Prashant believes startups like Lumi could be a central part of the answer and the time to act is now. Could meaningful AI education be the missing piece in our national skills strategy? And what does real collaboration between humans and machines actually look like in practice? Let us know your thoughts after listening.
Jul 18, 2025 · 27 min
3350: Make the Problem the Purpose: Rethinking Innovation with Colin Scott of Innventure
Is innovation failing because we're starting in the wrong place? In this episode of Tech Talks Daily, I'm joined by Colin Scott, Senior Vice President of DownSelect at Innventure, to challenge the default tech-first mindset that dominates R&D and corporate innovation. Instead of asking what a technology can do, Innventure flips the question: what real-world problem needs to be solved? It's a market-first philosophy, not a pitch deck philosophy, and it's led to some fascinating outcomes. Colin walks us through Innventure's DownSelect process, a trademarked, multi-stage approach for evaluating early-stage innovation through the MATCH framework: Market, Advantage, Timeline, Capital, and High Value. The result? Out of over 150 evaluated opportunities, just four companies have cut, including PureCycle Technologies, AeroFlexx, and Rafinity. That 5 percent conversion rate isn't a bug; it's a feature. It's the design. Colin explains why prioritising unmet strategic needs over flashy prototypes leads to better long-term outcomes for customers, partners, and the technology itself. We also explore how Innventure fosters creative tension inside teams through something they call "Tigger Time," a framework that assigns roles for optimists and sceptics to surface risks and possibilities early in the process. It's a smart way to turn internal disagreement into forward momentum. So, how do you approach innovation in your organisation? Are you starting with the technology or the need? Please let me know your thoughts after listening.
Jul 17, 2025 · 25 min
3349: IBM Consulting on Agentic AI and the Reinvention of Business Processes
When AI enters the boardroom, it tends to arrive with big promises: productivity, automation, efficiency. But for Francesco Brenna, Global Leader of AI Integration Services at IBM Consulting, the real opportunity isn't just faster workflows—it's rebuilding how business gets done from the ground up. In this episode, recorded in the heat of a New York summer, Francesco joined me to unpack what agentic AI really means for enterprise leaders and why "doing AI right" is about more than picking the latest model. We began by breaking down the term agentic AI, which Francesco defines as the shift from passive assistants to intelligent agents that can actually execute work, not just suggest how to do it. That might sound subtle, but it's a huge leap. And it's not one companies can take by simply layering AI on top of broken or inefficient processes. Instead, IBM is helping its clients rethink entire workflows, starting not with the tech stack, but with the business outcome. Francesco explains why data readiness is still the number one challenge. While many companies have talked about modernizing their data foundations, few have done it in a way that supports grounded, contextual, reliable AI agents. He introduces the idea of "data products" as a way to anchor agent behavior in the right context, feeding into IBM's three-layer model: user experience, orchestration, and data. We also explored the growing role of standards like Model Control Protocol (MCP), which could make secure integration with legacy systems more realistic at scale. Francesco highlights how IBM is addressing access control, security, and governance to ensure agentic systems are not only powerful but also trustworthy and accountable. There's plenty here for enterprise leaders wondering how to move AI projects out of pilot mode. From real examples in customer service, insurance, and pharma, to IBM's internal strategies for employee upskilling, Francesco shares what early success looks like and why hackathons, hands-on experience, and human-centered design are critical.
Jul 16, 2025 · 35 min
3348: How Twilio Is Redefining Voice AI for Real-World Customer Support
Voice has always been a powerful way to connect with customers, but until recently, voice AI struggled to deliver the kind of seamless experience we associate with great service. That is starting to change. In this episode, I catch up with Sam Richardson from Twilio to discuss the renewed momentum behind voice AI and what it means for the future of customer experience. Sam explains why voice is gaining relevance again. It is not just because the technology has improved, but because customers still prefer natural conversations when solving problems. According to Twilio's research, more than half of customers want to know when they are speaking to a bot, while nearly half do not mind as long as their issue gets resolved. That balance is important. It is not about deception. It is about resolving problems efficiently without losing the human touch. We talked about the balance between automation and empathy. Sam emphasizes the importance of escalation paths. When a customer is frustrated, repeating themselves, or directly asking for a person, they should be able to reach one. Without that, companies risk creating what he calls "reality privilege," where only premium customers receive human support. Voice AI should serve everyone, not create unfair divides. Sam also shared how Twilio is helping businesses adapt without replacing everything. Using API-based tools, companies can integrate voice AI into existing systems. That flexibility matters, especially since 96 percent of Twilio customers are building custom customer experience solutions to fit their specific environments. This is especially relevant in industries like hospitality, retail, and automotive. The early results are promising. Some companies are seeing a 60 to 70 percent increase in call containment and a noticeable drop in contact volume. Customer satisfaction scores have not suffered. Still, Sam is realistic. Long-term impact takes time to measure. The key is testing thoroughly, choosing the right solution, and tracking how customers actually feel.
Jul 15, 2025 · 37 min
3347: Bitsight on the Hidden Risks Inside Global Supply Chains
When we talk about cybersecurity, it's often easy to think in terms of firewalls, passwords, and high-profile breaches. But what happens when the vulnerability isn't within your own systems but somewhere deep in your third or fourth-tier supply chain? In this episode, I spoke with Ben Edwards from Bitsight about the unseen infrastructure propping up much of the global digital economy and the new risks emerging from it. Our conversation begins by challenging the assumption that larger technology providers are automatically safer. Bitsight's research reveals that scale often introduces complexity and a larger attack surface, which can make it even harder to stay secure. In fact, UK supply chains are now around 10 percent larger than the global average, reflecting a more advanced digital economy but also introducing more room for hidden weaknesses. One of the most sobering parts of the discussion focused on geopolitics. Around 30 percent of UK and US supply chains rely on Chinese military-linked companies like Huawei and China Telecom. That's not just a cybersecurity concern. It's a geopolitical time bomb. Ben broke down the ripple effects that potential restrictions or bans could have, including costs, infrastructure overhauls, and widespread operational disruption. Then there are the "hidden pillars," smaller vendors like Aptiv and Yardi, which may not be household names but play disproportionately influential roles in sectors like aerospace, education, and real estate. Their obscurity makes them dangerous single points of failure, especially when regional dependencies form without anyone noticing. The bottom line? End-to-end supply chain visibility remains elusive. Shadow IT, employee workarounds, and a constantly shifting tech landscape mean organizations must approach cybersecurity as an ongoing process, not a checklist. Ben urges companies to continually assess the criticality of their providers and, just as importantly, understand their own role in others' ecosystems. If you're curious about how internet balkanization, AI, and outsourcing are shaping the next phase of cybersecurity strategy, this episode will give you a lot to think about. Y
Jul 14, 2025 · 35 min
3346: How Nexthink Is Rethinking IT Support with Proactive, AI-Driven DEX
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.
Jul 13, 2025 · 30 min
3345: Veeva Systems and the Future of Agentic AI in Pharma
AI is racing ahead, but for industries like life sciences, the stakes are higher and the rules more complex. In this episode, recorded just before the July heatwave hit its peak, I spoke with Chris Moore, President of Europe at Veeva Systems, from his impressively climate-controlled garden office. We covered everything from the trajectory of agentic AI to the practicalities of embedding intelligence in highly regulated pharma workflows, and how Veeva is quietly but confidently positioning itself to deliver where others are still making announcements. Chris brings a unique perspective shaped by a career that spans ICI Pharmaceuticals, PwC, IBM, and EY. That journey taught him how often the industry is forced to rebuild the same tech infrastructure again and again until Veeva came along. He shares how Veeva's decision to build a life sciences-specific cloud platform from the ground up has enabled a deeper, more compliant integration of AI. We explored what makes Veeva AI different, from the CRM bot that handles compliant free text to MLR agents that support content review and approval. Chris explains how Veeva's AI agents inherit the context and controls of their applications, making them far more than chat wrappers or automation tools. They are embedded directly into workflows, helping companies stay compliant while reducing friction and saving time. And perhaps more importantly, he makes a strong case for why the EU AI Act isn't a barrier. It's a validation. From auto-summarising regulatory documents to pulling metadata from health authority correspondence, the real-world examples Chris offers show how Veeva AI will reduce repetitive work while ensuring integrity at every step. He also shares how Veeva is preparing for a future where companies may want to bring their LLMs or even run different ones by geography or task. Their flexible, harness-based approach is designed to support exactly that. Looking ahead to the product's first release in December, Chris outlines how Veeva is working hand-in-hand with customers to ensure readiness and reliability from day one. We also touch on the broader mission: using AI not as a shiny add-on, but as a tool to accelerate drug development, reach patients faster, and relieve the pressure on already overstretched specialist teams. Chris closes with a dose of humanity, offering a book and song that both reflect Veeva's mindset, embracing disruption while staying grounded. This one is for anyone curious about how real, applied AI is unfolding inside one of the world's most important sectors, and what it means for the future of medicine.
Jul 12, 2025 · 37 min
3344: Reimagining Cyber Infrastructure Without Compromising User Experience
What does modern cybersecurity look like when you're leading a federally regulated financial institution serving Canadians from coast to coast? In this episode, recorded at Cisco Live last month, I sat down with Shawn Spurko, VP of Information and Cybersecurity at Innovation Federal Credit Union. Based in Swift Current, Saskatchewan, but now operating across the country, Shawn Spurko has played a key role in building a security posture that treats laptops as offices and supports a workforce no longer tethered to physical locations. Shawn Spurkoshares his journey from service desk and web design to becoming a cybersecurity leader, and offers a refreshingly grounded view of how to approach regulation, zero trust, and digital maturity. He explains how Innovation CU's move from a provincial to a federal charter transformed their compliance obligations and how solutions like Cisco Secure Access enabled them to scale security seamlessly for a hybrid workforce. We explore why transparent, user-friendly security is no longer optional and how mature implementations of SWG, ZTNA, DLP, and management tunnels are quietly solving problems before users even notice them. Shawn Spurkoalso opens up about the practical realities of working with tools that are constantly evolving, and how his team reviews every new feature not just for capability but for how it maps to regulatory controls like Canada's OSFI B-13. This episode is a masterclass in modern cyber strategy, but it's also a reminder that the goal isn't complexity, it's making things work, everywhere, all the time. So, as the cybersecurity landscape continues to shift and regulators tighten expectations, how are you designing systems that work for both users and auditors? And what lessons can we all learn from financial services as we navigate this new world of anywhere access?
Jul 11, 2025 · 27 min
3343: How Unilever Is Using AI to Rethink Everyday Essentials
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?