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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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Episodes2001

  • Nov 29, 2025 · 25 min

    3502: Preparing Teams for Change with AI Driven Upskilling

    Why does it feel as though every headline about the future of work points to AI pushing entry-level roles off a cliff? That question stayed with me as I sat down with Robin Adda, a long-time learning and development leader, bestselling author, and one of the most balanced voices I have heard on skills, technology, and the workplace. Robin argues that AI can protect white-collar roles rather than erode them, and hearing him explain why immediately shifted the tone of the conversation. From the start, Robin talks about how traditional training models have failed to keep pace with reality. Companies know the skills gap is widening, yet many still rely on broad, generic programmes that miss what people actually need. His journey toward building SkillsAssess grew out of that frustration. He realised that training without insight only scratches the surface, and employees end up going through motions instead of growing in ways that matter. Inside organisations, the picture is even more complicated. Robin describes teams that want to move forward but have no clear road map, along with job seekers who struggle with basic digital tasks long before they reach more advanced expectations. Opportunity exists, yet people often cannot reach it because they lack a personal starting point. His work focuses on bridging that divide by giving individuals clarity and giving leaders accurate visibility into their workforce. We also talk about the emotional weight behind all of this. Anxiety around AI is everywhere, especially for people who feel their role is drifting into uncertainty. Robin has seen organisations handle this well by focusing on clear information rather than vague reassurance. When people understand what they need to learn and why, their fear gradually shifts into something more constructive. Another area that stood out was his emphasis on human strengths. As routine work moves to AI systems, qualities like curiosity, communication, and thoughtful decision making become even more valuable. Robin explains how behavioural profiling and tailored learning pathways can help companies build stronger teams rather than rely on technology to smooth every challenge. By the end of our conversation, I found myself thinking differently about the future of work. Robin's perspective is grounded in decades of watching technology rise, fall, and rise again. He sees AI as a chance to rethink employability rather than fear the disruption. In his view, if we use these tools wisely, we can build a workforce that is more confident, more adaptable, and more resilient. So here is the question I want to leave you with. If learning could finally become personal, and if AI could help people understand their own potential instead of replacing it, what would that change for you and your organisation? And how would it reshape the way you think about your career? I would love to hear your thoughts. Find out more at https://skillsassess.ai and by following the SkillsAssess' LinkedIn Listen to Robin and key industry guests on the SkillsAssess podcast - When Skills Matter Connect with Robin directly on LinkedIn Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

  • Nov 28, 2025 · 31 min

    3501: How Aily Labs is Bringing AI Decision Intelligence To Fortune 500 Teams

    Have you ever wondered what it looks like when an enterprise finally breaks free from spreadsheet-driven decision paralysis and lets AI take the wheel? That was the question at the back of my mind as I sat down with Bianca Anghelina, the founder of Aily Labs. In our conversation, Bianca explains how her career inside large global enterprises shaped her view of the world. She saw first hand how companies could gather astonishing amounts of data but struggled to translate it into choices that actually mattered. That friction pushed her to imagine something bolder, a decision intelligence platform that could remove the hand-stitched chaos of manual analysis and replace it with real-time clarity. She shares how she took the leap during an uncertain moment in 2020, trusting the idea that disruption often grows during difficult periods. Hearing her describe that early stage reminded me how many founders take quiet risks long before the public sees any success. What stood out most was the simplicity of her philosophy. Every company will eventually use AI, but only the ones that rewire their culture and everyday routines will turn it into measurable value. Bianca talks about the shift from pilots to production, the widening gap between firms that run AI at scale and those still treating it as a side project, and how leaders need to rethink their role if they want to see material financial impact. She also shares how Aily Labs uncovered a hundred million dollars in opportunities instantly for one enterprise, and how their AI agents connect previously isolated functions to solve resource allocation, supply chain shocks, and board-level scenarios in minutes instead of months. We also look ahead. Bianca outlines her vision for fully autonomous decision-making agents and the long path toward an operating model where strategy, execution, and action flow through a single intelligent layer. Her optimism about where this can lead Fortune 500 organisations over the next five years left me thinking about how quickly boardrooms will need to adapt. At the same time, she grounds that vision in her own story, acknowledging the mentors and supporters who helped her grow from corporate leader to founder. If you are wrestling with the business case for AI, or trying to understand why so many firms still struggle to get past experimentation, this episode offers a clear window into what happens when AI is built into the centre of how an enterprise thinks. It is a rare mix of founder story, practical insight, and a glimpse of the future. What part of Bianca's thinking resonates most with your own experience, and how do you see decision intelligence reshaping leadership teams in the years ahead? Let me know your thoughts. Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

  • Nov 27, 2025 · 22 min

    3500: Nullshot Reimagines How Teams Create With AI

    Is AI quietly pushing us to work alone when creativity has always thrived on collaboration? I'm joined by Joseph "Coop" Cooper, co-founder of Nullshot, to unpack a different vision for how AI should support creators, builders, and teams. And before any Interstellar fans get too excited, this is not the cinematic space explorer navigating wormholes; this is a serial entrepreneur building something very real on Earth, where conversations turn into working applications in real time. Coop shares how his journey from modding video games as a child to launching multiple ventures across crypto and developer tools shaped his belief that current AI tools lean too heavily towards individual productivity. He explains the thinking behind Nullshot's jam rooms, where multiple people can co-create with AI in a shared space, instead of building in isolation. We explore how this model encourages quieter voices to contribute, removes the pressure of pitching ideas, and replaces it with live prototypes that speak for themselves. Alongside the enthusiasm for this collaborative future, Coop also addresses the tougher questions around ownership, fair credit, and how contributions should be recognised without being gamed. There is an honest discussion about whether AI-powered creation lowers barriers for everyone or risks shifting too much power towards the platforms that control it. The balance between opportunity and risk feels central to what Nullshot is attempting to achieve. As teams, founders, and creators look for better ways to bring ideas to life together, this conversation offers a grounded look at what shared AI creation could mean in practice. Are we ready to move from solo prompts to collective building, and what might that shift say about how we define creativity in the next phase of digital work? What do you think, could collaborative AI change the way your team builds, and how would you feel about sharing ownership in a live creative space? Useful Links Learn More About Nullshot Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

  • Nov 26, 2025 · 22 min

    3499: The Cost of Caution Inside the UK AI Debate

    Is the UK quietly slipping into the role of a cautious observer while other nations shape the future of AI with greater confidence and intent? In this episode of Tech Talks Daily, I sit down with Rav Hayer, Managing Director at ThoughtWorks and Head of BFSI, to explore why our approach to AI regulation may be slowing progress at a time when momentum matters. We move beyond the headlines of multi-billion pound investment announcements and look at what is really happening on the ground for business leaders trying to innovate in an environment shaped by uncertainty, shifting guidance, and risk aversion. Throughout our conversation, Rav shares his perspective on how this climate is affecting founders, scaleups, and established enterprises alike. We examine why so much British innovation still finds its way overseas, and what that says about ownership, long-term competitiveness, and the confidence gap holding many organisations back. I also ask Rav to compare the UK's position with regions such as Singapore, Brazil, and Saudi Arabia, where proactive regulation is being used to encourage innovation rather than create friction. Together, we unpack the hidden costs of ambiguity, from time lost in legal interpretation to talent being drawn away from building meaningful progress at home. We close the episode on a more human note as Rav reflects on his personal journey, the role his parents played in shaping his work ethic, and the values that continue to guide his leadership today. As the UK weighs protection against progress, should we continue to step carefully, or is it time to show greater conviction and direction in our AI strategy? I would love to hear your thoughts on where that balance should sit. What do you think, and how should the UK move forward from here? Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

  • Nov 25, 2025 · 31 min

    3498: How Trintech Is Redefining the Financial Close with AI

    What happens when a seasoned finance leader steps into the world of enterprise software and decides to rebuild the financial close with AI at its core? In my conversation with Darren Heffernan, CEO of Trintech, we look at the shifts taking place inside the office of the CFO and how automation is reshaping a discipline that has relied on spreadsheets and manual routines for generations. Darren's story spans public practice, GE Capital, and twenty years inside Trintech, which gives him a rare view of both the pressure inside finance teams and the opportunities created when workflow, data, and intelligence finally come together. Across our discussion, Darren explains how Trintech has spent decades refining the financial close by embedding intelligence directly inside the workflow rather than bolting it on. He talks through real examples of AI identifying exceptions, writing rules, scanning volumes of transactions, and reaching back to a human for review so the outcome remains transparent and traceable. His point is that trust and clarity matter as much as speed, especially in a profession where regulators, auditors, and boards expect every action to be explainable. It is a reality check for anyone comparing providers claiming to deliver AI without the decades of grounding needed to understand how finance actually works. We also talk about the human side of transformation. Darren believes the people who learn to work with AI will thrive, and he pushes back against the idea that automation threatens finance roles. Instead, he sees a future where agents and humans collaborate while accountants focus on judgment, interpretation, and value. His reflections on leadership, mentorship, humility, and the maturity that comes from doing almost every role inside a company add a personal texture to the story. It is clear that his philosophy of making time count is not a slogan, it is a way of working that shapes how Trintech designs its products and how teams support customers. As we look toward 2026, Darren shares his view on the next frontier in finance. He describes a future where AI powered workflows not only detect issues but take action, improve continuously, and still respect the need for control. His message is simple. Finance runs on trust, and AI must strengthen that trust, never weaken it. So how should leaders approach this moment, and what might the financial close look like once AI becomes a reliable partner rather than a confusing buzzword? I would love to hear what you think.

  • Nov 24, 2025 · 30 min

    3497: How Phil Gilbert Turned Culture Into IBM's Most Powerful Asset

    What happens when a leader realises that the success of every major initiative, from AI projects to return to office plans, rests on something far deeper than strategy or tools? In my conversation with Phil Gilbert of Irresistible Change, we look at why culture is the deciding factor behind whether transformation takes root or quietly falls apart. Phil has spent a career inside some of the most complex organisations on the planet, and his work at IBM showed that change only becomes real when people want it, when they feel part of it, and when they see its value in their daily work. Across our conversation, Phil explains how he approached transformation inside a company with nearly four hundred thousand employees without forcing anyone into compliance. Instead of relying on memos or mandates, he treated change like a young startup that needed to earn believers. He focused on proof rather than persuasion, clarity rather than slogans, and an understanding that people respond to meaning, autonomy, and trust. It is a refreshing contrast to the typical corporate playbook that often leans on pressure rather than participation. We talk through the mindset shifts that helped him rebuild a culture at scale, including treating change like a product with a clear value proposition. Phil shares stories from inside IBM and reflects on why the same lessons now apply across industries. Today's workforce is more informed, more selective, and less willing to accept top down directives that lack substance. His view is that leaders who miss this reality are the ones left wondering why their carefully crafted strategies never quite land the way they expected. Phil's new book, Irresistible Change, digs into these ideas in detail. Our conversation gives a taste of that thinking and offers practical insight for anyone wrestling with transformation in their own organisation. Culture shapes the outcome of every big shift, whether leaders acknowledge it or not. So how can organisations build change that people choose to be part of, and what might be possible if more leaders approached transformation this way? I would love to hear your thoughts. Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

  • Nov 23, 2025 · 25 min

    3496: Why the LoopUp Startup Story Is a Masterclass in Leading Through Uncertainty

    What happens when your entire market disappears overnight? That was the reality facing LoopUp when the pandemic transformed the way the world communicates. In this episode of Tech Talks Daily, I sit down with Steve Flavell, co-CEO of LoopUp, to talk about how his company turned disruption into a defining moment of reinvention. LoopUp began in 2003 with a mission to make conference calls less painful. For over a decade, the company grew steadily, even going public on the London Stock Exchange in 2016. But when Teams and Zoom became household names during the pandemic, LoopUp's core business all but vanished. Faced with that challenge, Steve and his team made a bold pivot, moving into global cloud telephony for Microsoft Teams. That shift didn't just save the company, it transformed it into what Steve now calls the world's most multinational telco, providing enterprise voice services in 136 countries. Steve shares what it took to steer through that transformation, from managing fivefold surges in traffic to building a scalable global service model. He also reflects on the leadership lessons learned along the way, including the power of persistence, transparent communication, and the strength of his 22-year co-founder partnership with Michael Hughes. This is a story of resilience, clarity, and strategic courage. For any founder or business leader who's ever faced a market shock or wondered how to evolve when everything changes, Steve's journey offers an honest and inspiring roadmap for rebuilding stronger than before. Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

  • Nov 22, 2025 · 23 min

    3495: How Adebimpe Ibosiola is Bringing Clarity to Digital Transformation in Regulated Industries

    What happens inside a transformation program when every decision must withstand scrutiny, every dependency carries weight, and every undocumented rule inside a legacy system can change the outcome of an entire initiative? That was the starting point for my conversation with Adebimpe Ibosiola, a specialist who has spent her career working in regulated industries where nothing is ever as simple as it looks on paper. In a space where leaders often feel pressure to modernize at speed, she argues that the real progress comes from slowing down long enough to understand the truth of the systems, people, and cultures already in place. During the discussion, Adebimpe shared how many organisations walk straight into failure because they begin with visions instead of diagnosis. She explained how hidden logic in old systems, variations in compliance interpretation, and the invisible labour teams carry out daily can derail the best-intentioned roadmap. Her view is that transformation only becomes possible when leaders commit to technical truth-finding and accept that legacy platforms often contain valuable intelligence worth translating rather than discarding. It was eye-opening to hear how she decodes behavioural quirks in systems, aligns teams around shared language, and builds processes where correct behaviour becomes the easiest path. We also spoke about the human journey that accompanies digital change. Adebimpe sees emotional resilience, micro wins, and psychological safety as core components of sustainable progress in any regulated environment. Her approach blends structure with empathy, especially when teams feel pressure from audit requirements or fear of missteps. She also offered powerful reflections on why collaboration is the real competitive advantage for future professionals and how diversity strengthens decision-making in high-stakes environments. This conversation stays with you because it reframes transformation through honesty, clarity, and human understanding rather than slogans or promises of fast fixes. It also highlights an emerging truth. Regulated industries are moving toward a future shaped by people who can translate across technology, regulation, and culture rather than those who see transformation as a tooling exercise. What stood out to you in Adebimpe's perspective? And where do you think regulated organisations should begin if they hope to create change that actually lasts? I would love to hear your thoughts. Connect with Adebimpe Ibosiola on LinkedIn Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

  • Nov 21, 2025 · 26 min

    3494: The Fastest Way to Recover Endpoint Devices During an IT Outage

    Why do entire organisations invest millions building resilient data centres yet leave their endpoints exposed to outages that can last days? That question kept coming back to me during my conversation with James Millington of IGEL at the Now and Next event, because it highlights a gap that most IT leaders still underestimate. James walked me through the reality he sees every day. Companies have high availability strategies for their servers, cloud platforms, and networks, yet the devices workers rely on remain the weakest point. When ransomware or system failure hits, the response often involves scrambling for spare laptops, calling suppliers, and hoping inventory exists. As James pointed out in our chat, many firms quietly rely on a handful of unused machines sitting in a cupboard. That approach might have worked a decade ago, but today's threat landscape exposes every delay. Our discussion centred on IGEL's dual boot approach, a fresh way to recover access within minutes by placing IGEL OS alongside Windows on the same device. Instead of waiting hours or even weeks to rebuild machines, organisations can simply switch to a secure environment that restores access to cloud apps, collaboration tools, and virtual desktops. James shared stories of analysts admitting no comparable solution exists, and of customers having light bulb moments as they calculated the true cost of endpoint recovery. The theme running underneath it all was simple. You cannot coordinate your crisis response unless your people have a working device in their hands. Everything else depends on that. This episode also reflects a wider shift in how organisations think about resilience. Leaders are beginning to question old assumptions about failover, preparation, and what it takes to keep people productive when attacks or outages strike. The conversations I heard throughout Now and Next showed that businesses are realising the endpoint is no longer a peripheral concern. It is the gateway to every service that keeps a company running. When that gateway fails, everything slows. James also shared lighter moments from his journey. His career began as a DJ, something he has circled back to at IGEL events, and it was fascinating hearing how skills from that era still show up in his approach to communication and timing. It reminded me how varied experiences shape the leaders driving today's conversations around security, SaaS evolution, Zero Trust, and the growing overlap between IT and operational technology. So here is my question for you. As cyber risks rise and downtime becomes harder to tolerate, how ready do you feel for the disruption that begins at the endpoint? I would love to hear your thoughts. Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

  • Nov 20, 2025 · 24 min

    3493: Industrial AI in Action, Somya Kapoor on Digital Workers and ROI

    What happens when a founder who built a billion dollar company during a global crisis steps into the centre of industrial AI and begins reshaping how entire organisations think and work? That question sat at the heart of my conversation with Somya Kapoor, CEO of IFS Loops, recorded live on the show floor at IFS Industrial X Unleashed. Somya's journey carries a level of grit and perspective that shines through every answer. She shared how surviving the Gulf War as a child shaped her instinct to take on the hardest problems in technology. That mindset not only guided her early career at SAP, ServiceNow, and other enterprise giants, it also laid the foundation for Loops, the agentic platform she co-founded in 2020 with a simple scribble on a notepad that eventually grew into one of the most significant acquisitions in the IFS ecosystem. Her stories about early rejections, the wave of scepticism around AI in the early days, and the first customer conversations held on Zoom during lockdown reveal the human side behind a platform many now take seriously across the industrial world. Across the episode, Somya explained in plain terms what makes IFS Loops so different. The platform connects data across systems using natural language, helps redesign processes that used to be locked inside individual applications, and introduces digital workers that remove the grunt work from everyday operations. She brought the technology to life with examples that landed with real clarity. From supplier order handling to complex field service tasks, and the now famous Kodiak Gas case where thousands of hours were saved each year, she showed how agentic workflows change what is possible for industrial companies who have spent decades wrestling with fragmented data and rigid processes. We also talked about the importance of keeping people at the centre of AI driven change. Somya was clear that amplification, not replacement, is the story that matters. The shift requires new skills, new supervision models, and a thoughtful approach to adoption. Her reflections on change management, the energy she felt from customers at the event, and the speed at which leaders now want to move painted a picture of an industry that feels very different from the early days of AI excitement. The hesitation has faded. Curiosity has taken over. Action is starting to follow. Somya closed with a message aimed at every leader who might still be watching from the sidelines. The technology is real, adoption is accelerating, and the window to learn, experiment, and adapt is narrowing. She believes this is the moment for teams to decide whether they want to lead or be led by others who are moving faster. As you listen to this conversation, I'd love to hear what stood out for you. Do you feel the same shift in confidence and urgency around industrial AI that Somya described? Let me know your thoughts. Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

  • Nov 19, 2025 · 26 min

    3492: How Mammoth Enterprise AI Browser Redefines Security at the Endpoint

    Have you ever wondered what happens when the browser stops being a simple window to the web and starts becoming the control point for how AI touches every part of enterprise life? That was the starting point for my conversation with Michael Shieh, founder and CEO of Mammoth Cyber. What followed was a detailed look at why the browser is turning into the foundation of enterprise AI and why the shift is arriving faster than many expect. Michael shared why employees already spend most of their working lives inside a browser and how this makes it the natural place for AI to support decisions, speed up routine work, and act as the interface between people, applications, and data. But we also spoke about the uncomfortable reality behind that convenience. When consumer AI browsers rush ahead with features that harvest data or request wide-reaching permissions, the trade off between speed and governance becomes harder to ignore. Michael explained how this gap leaves security teams unable to see where sensitive data is being sent or how shadow AI creeps into daily workflows without oversight. During our conversation he broke down what makes an enterprise AI browser different. We talked about policy controlled access, device trust, identity federation, and the safeguards that protect AI from hazards like indirect prompt injection. Michael also described how the Mammoth team built a multi layer security model that monitors what the AI can view, what it cannot view, and how data moves across applications in real time. His examples of DLP at the point of use, low friction controls for workers, and granular visibility for security teams showed how the browser is becoming the new enforcement boundary for zero trust. We also covered the growing tension between traditional access models like VPNs or VDI and the faster, lightweight deployment Mammoth is offering to large enterprises. Hearing Michael explain how some customers replaced heavy remote access stacks in weeks made it clear that this is more than a new product category. It hints at an early move toward AI shaped workflows running directly at the endpoint rather than through centralised infrastructure. As he looked ahead to the next few years, Michael shared why he expects the browser to operate as a kind of operating system for enterprise AI, blending native AI agents, web apps, and policy controls into a single environment. This episode raises an important question. If the browser becomes the place where AI reads, writes, and interprets information, how should enterprises think about identity, trust, and control when the pace of AI adoption accelerates again next year? I would love to hear your thoughts.

  • Nov 19, 2025 · 30 min

    3491: From NHL Ice to Enterprise Data: Ataccama's CEO on Building AI That Actually Works

    What happens when a former NHL player who once faced Wayne Gretzky ends up running a global data company that sits at the center of the AI boom? That question kept coming back to me as I reconnected with Mike McKee, the CEO of Ataccama, seven years after our last conversation. So much has shifted in the world since then, yet the theme that shaped this discussion felt surprisingly grounded. None of the big promises of AI can take hold unless leaders can rely on the data sitting underneath every system they run. Mike brings a rare mix of stories and experience to this theme. His journey from the ice to the C suite feels like its own lesson in discipline, teamwork, and patience, and he openly reflects on the way those early years influence how he leads today. But the heart of this conversation sits in the reality he sees inside global enterprises. Everyone is racing to build AI powered services, yet the biggest blockers are messy records, inconsistent metadata, long forgotten databases, and years of quality issues that were never addressed. It is a blunt problem, and Mike explains why the companies winning with AI right now are the ones treating data trust as a foundation rather than an afterthought. Across the discussion, he shares stories from organisations like T Mobile and Prudential, where millions of records, thousands of systems, and vast volumes of structured and unstructured data must be monitored, understood, and governed in real time. Mike walks through how teams build confidence in their data again, why quality scores matter, and how automation now shapes everything from compliance to customer retention. What stood out most is how quickly the expectations have shifted. Boards and CEOs now treat data as a strategic asset rather than an operational chore, and entire roles have emerged above the chief data officer to steer these programmes. This episode is also a reminder that AI progress is never only about models or GPUs. Mike pulls back the curtain on why organisations struggle to measure AI readiness, how they can avoid bottlenecks, and what it takes to prioritise the work that actually moves the needle. His point is simple. Without trustworthy data, AI remains a promise rather than a practical tool. With it, businesses can act with confidence, respond faster, and make decisions that genuinely improve outcomes for customers and employees. So as AI reaches deeper into systems everywhere, how should leaders rethink their approach to data trust, governance, and quality? And if you have been on your own journey with data challenges, where have you seen progress and where are you still stuck? I would love to hear your thoughts. Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

  • Nov 18, 2025 · 26 min

    3490: How Zenoti Is Redefining Guest Experience With AI

    What happens when a former Microsoft leader walks away from tech, immerses himself in personal wellbeing, and accidentally discovers one of the biggest blind spots in the global spa, salon, and wellness industry? That question sat with me as I spoke with Sudheer Koneru, founder and CEO of Zenoti, who has shaped one of the most influential platforms powering beauty, wellness, and fitness operations in more than fifty countries. This conversation takes an interesting path. Sudheer began his career inside Microsoft during its high-growth era, then built and exited a successful enterprise software company, only to step away from the industry entirely. Those two quiet years focused on health and family revealed something surprising. The spa and salon sector he was engaging with as a customer lacked modern tools, consistent experiences, and operational systems that could help both staff and guests thrive. That realisation moved him from passive observation into building Zenoti, a platform designed for large brands with multi location operations. Today, Zenoti supports more than twelve thousand businesses and processes millions of bookings each year. Across our discussion, Sudheer explained why staff turnover shapes guest trust far more than most of us realise. He shared the emotional aspect of returning customers wanting familiar faces, the operational pressure this creates, and the measurable business impact when those connections are lost. We also talked about the role of AI. Unlike many narratives that focus on automation replacing creativity, Sudheer was clear that AI is strengthening the personal side of the industry. He described how tools like Zeni and Hyperconnect reduce missed calls, increase upsells, support new staff with real context, and free human teams to offer better on site care. Hearing how Zenoti has grown as a profitable unicorn while staying selective about its customer base added another layer. Sudheer credits this discipline as one of the company's strongest decisions, along with a willingness to focus on brands that truly benefit from the platform's depth. As the wellness and beauty sectors move further into AI supported operations, the question becomes whether businesses can adopt new capabilities without losing the warmth and familiarity that keep guests returning. After listening, how do you feel about AI supporting personal service industries, and where do you see the right balance landing? I would love to hear your thoughts. Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

  • Nov 18, 2025 · 30 min

    3489: Tredence on Why Data Darwinism Will Shape the Next Wave of Enterprise AI

    What happens when enterprise AI moves faster than the data foundations meant to support it? That question guided my conversation with Sumit Mehra, CTO and Co-Founder of Tredence, who joined me while travelling between customer meetings on the US West Coast. Sumit has a clear view of what is coming next, and he believes we are entering a phase he calls data Darwinism. In his view, the next stage of AI advantage will not be won by the companies with the most models or the flashiest demos, but by those with the strongest data habits. Clean, governed, connected data is now the primary fuel for autonomous decision systems, and the enterprises that fail to address this will struggle to move past surface level gains. As we unpacked this shift, it became obvious how much of the real work in AI has only just begun. Over the years, Tredence built a reputation for solving the last mile of analytics by bringing insights out of slide decks and into the hands of the people doing the work. Sumit described that early chapter with a sense of pride, but he was quick to point out that another transition is already here. With agents now influencing and making decisions across supply chains, forecasting, and customer experience, enterprises are moving from reviewing insights to reviewing decisions. That shift demands stronger data platforms, tighter governance, and a cultural adjustment that many organisations are still wrestling with. Sumit spoke openly about how teams need support to trust agent driven outcomes, and how the leadership layer plays a major role in closing the long standing divide between business and technical groups. Our discussion also moved into the rise of real time decision systems, the move toward unified data platforms, and how vertical AI is reshaping expectations inside industries that rely on precision. Whether it was supply chain visibility, marketing personalisation, or the growing need for credible governance models, Sumit emphasised that organisations can no longer rely on siloed data or fragmented strategies. As Tredence expands deeper into regulated industries through its acquisition of Further Advisory, the work ahead touches everything from finance to healthcare. It left me thinking about how ready most companies truly are for this next phase, where every agent is only as reliable as the data beneath it. Where do you stand on data Darwinism, and how prepared do you think your own organisation is for what comes next? Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

  • Nov 17, 2025 · 25 min

    3488: How Akeneo Sees the Future of Product Experience in an AI First Retail World

    What happens when AI becomes the centre of how we shop, yet trust still determines whether any of it works? That question shaped my conversation with Romain Fouache, CEO of Akeneo, who joined me to unpack the latest consumer data on AI driven shopping experiences. Retail giants might be setting the pace, but the real story sits in how everyday shoppers feel about these new tools. Akeneo's recent research caught my attention when it revealed that eighty four percent of consumers who acted on an AI recommendation were satisfied with the purchase. The appetite is clearly there, yet trust remains fragile, especially when only forty five percent feel confident in AI powered suggestions and even fewer enjoy their chatbot interactions. Romain sees this moment as both a turning point and a warning, one that demands honest conversations about transparency and product data. As we worked through the findings, Romain explained why good AI depends entirely on high quality product information and why poor data is still the biggest threat to customer confidence. He argued that brands can reduce friction, improve discovery, and deliver more relevant experiences by grounding their AI tools in reliable product knowledge rather than guesswork. He also spoke about why many chatbots continue to miss the mark. The issue is less about the technology and more about the lack of strong product foundations beneath it. When recommendations go wrong, trust erodes quickly, and rebuilding that trust will require clear communication about how data is used and why certain suggestions appear. I found his view on privacy particularly interesting, especially his belief that better intent based interactions could lower the industry's dependence on invasive data collection. Looking ahead to 2026, Romain shared why he expects conversational shopping to become a primary way people browse and evaluate products. He believes the shift away from keyword driven search is already happening and that smaller retailers should not feel outpaced by the largest platforms. With the right product experience strategy, he says, AI opens new opportunities for global reach and category diversification. The conversation also touched on why product experience, rather than product data alone, will determine the brands that build loyalty in an increasingly competitive environment. It left me wondering how ready businesses truly are for a world where product information must be accurate, real time, and aligned with the way AI tools interpret customer intent. What do you think matters most for building trust in AI powered shopping? Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

  • Nov 16, 2025 · 26 min

    3487: vFairs Explains the Next Chapter of Event Tech

    What happens when events become the most human channel in a world increasingly shaped by AI? That thought set the tone for my conversation with Muhammad Younas, founder and CEO of vFairs, who has spent years helping organisations design in-person, virtual, and hybrid experiences at a remarkable scale. With more than fifty thousand events delivered and over one hundred million attendees served, he has a front row view of how event technology is changing and why the next wave will look very different from what planners have relied on until now. Rather than fearing the impact of AI, Muhammad sees a near future where mundane tasks fade into the background and planners focus on strategy, creativity, and connection. Throughout the discussion, Muhammad returned to a simple idea. Every event is unique, and technology should adapt to that reality rather than forcing people into rigid templates. He believes the next chapter of event tech will focus on specialised workflows that understand industry needs, whether that is a job fair, a healthcare gathering, a global town hall, or a conference that carries an entire community's voice. He also sees events becoming one of the most important expressions of first party marketing as digital channels get louder and harder to trust. When people choose to attend, they bring intent, time, and attention, and no online algorithm can replace that. We also explored why virtual events and webinars continue to grow long after the urgent push of the pandemic. Muhammad explains that these formats thrive because they offer reach, convenience, and year round value. They generate content that fuels engagement far beyond the event itself, and they remove the barriers that keep global audiences locked out of traditional venues. Meanwhile, vFairs keeps pushing forward, from smart matchmaking on trade show floors to tools that help planners capture meaningful connections and follow through on them. In an era driven by AI, he argues that events will matter even more because they protect the authenticity and human contact that many feel is slipping away. Muhammad's own story, from running hundreds of events himself to building a platform chosen by global brands, adds a human layer to all this technology. It raises an important question. As AI reshapes the work behind the scenes, how will event planners and organisations reimagine the experiences people value most? I would love to hear what you think. Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

  • Nov 15, 2025 · 31 min

    3486: Augury on Why AI Literacy Is Becoming a Core Skill for Every Worker

    What does it say about the future of work when AI competency starts to feel as expected as basic reading? That question sat with me throughout my latest conversation with Artem Kroupenev, VP of Strategy at Augury, who returns to the show with a perspective that lands with fresh clarity. Workforce costs remain high, industries are shifting, and the job market continues to reset its foundations. In that environment, Artem argues that AI literacy is no longer something ambitious candidates use to stand out. It is becoming a baseline expectation that employers will quietly assume. The way we talk about skills is changing, and the speed of that shift matters. Across our discussion, Artem reflects on how this transition is unfolding inside factories and industrial operations, where Augury has spent the last decade building predictive machine health systems. He describes a world where AI takes on tasks, not entire roles, and where the real opportunity for workers sits in judgment, collaboration, and the kind of problem solving that software cannot replicate. He highlights patterns from the SOPH 2025 data that show strong confidence across manufacturing leaders, yet also reveal a gap between optimism and real capability. It paints a picture of an industry moving quickly, yet still learning how to measure and translate AI value into outcomes people can trust. What struck me most was how Artem links mindset to readiness. Individuals who treat AI as a companion in their daily workflow, rather than a novelty to test occasionally, start building the fluency that future roles will quietly demand. Employers who approach AI simply as a tool upgrade often overlook the harder work of reshaping processes, KPIs, and expectations. And the organisations that fail to adapt risk widening the gap between AI empowered and AI hesitant teams, something Artem believes will show up in hiring, competition, and long term viability. This conversation looks beyond the usual headlines about automation and considers what the next five years might actually feel like for people joining the workforce or leading teams through change. If AI becomes as expected as reading and writing, what does that mean for education, career paths, and employer responsibility? I would love to hear your view. Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

  • Nov 14, 2025 · 21 min

    3485: The Road to Predictable, Reliable Infrastructure with Nutanix

    What does resilience look like when your business depends on keeping data, apps, and infrastructure running flawlessly in a world that never sleeps? At IGEL's Now & Next event in Frankfurt, I sat down with Sush Kajaria from Nutanix to explore how the company is helping organizations simplify their cloud strategies and strengthen their endpoint environments through modern virtualization and prevention-first security. Our discussion looked at how IT teams are adapting to an increasingly complex technology stack, where workloads are spread across hybrid and multicloud environments. Sush Kajaria explains how partnerships with companies like IGEL are creating more seamless integration between data centers and the edge, giving IT leaders the control and visibility they need to protect business continuity. We also explored how automation, unified management, and secure access are helping enterprises reduce costs without sacrificing flexibility or performance. The conversation moved beyond infrastructure to address the human side of digital transformation. We discussed how hybrid work, evolving compliance requirements, and AI adoption are reshaping how IT teams operate, forcing leaders to rethink how they deliver secure and consistent experiences to employees everywhere. Nutanix's story is one of constant reinvention, driven by a clear mission to make enterprise IT invisible while keeping operations resilient and efficient. As organizations look ahead to 2026, this episode offers a grounded look at what it takes to balance innovation with reliability. How can IT leaders simplify their infrastructure without losing control, and what role will partnerships like IGEL and Nutanix play in defining the next chapter of enterprise resilience? Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

  • Nov 13, 2025 · 33 min

    3484: How BDO Is Turning AI Investment Into Real Outcomes

    Have you ever wondered what it looks like when a global professional services firm commits over one billion dollars to AI and expects it to reshape the way its people work across every corner of the business? That question sat with me as I spoke with Russ Ahlers, Chief Information Officer at BDO USA, and someone who has spent three decades building technology foundations that hold up some of the most complex operations in the industry. This conversation goes straight into the reality of enterprise AI programs, the human decisions behind them, and the scale required to turn strategy into day to day transformation. Russ shares how BDO is approaching AI as a global effort rather than a series of disconnected projects. He explains how the firm's five year investment is designed to upgrade core systems, bring automation into areas that slow teams down, and build intelligent capabilities that support professionals across audit, tax, and advisory. I was interested in how he balances ambition with governance, and he offers a grounded view on why AI only delivers real value when firms focus on data quality, security, and practical use cases that free people to do higher value work. What stood out is Russ's long view. His time leading BDO International's IT strategy shaped the way he thinks about scale, convergence, and consistency. Across this episode he reflects on the lessons learned from supporting member firms worldwide, the importance of shared standards, and the cultural shift needed for AI to land with impact across a large workforce. His perspective is shaped by years of integrating new firms into the BDO network, where technology adoption and organisational change must move together. This episode is a chance to understand how a major global organisation is building its future on intelligent systems, why long term investments matter, and how leaders think about readiness, risk, and opportunity when the stakes are high. It also speaks to something more personal. Russ talks about the mindset behind modern IT leadership, the importance of curiosity, and the practical realities of running an innovation program that touches every part of the enterprise. Where do you stand on the idea of a billion dollar AI commitment, and what questions would you want answered before making a move like that? I would love to hear what you think. Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

  • Nov 12, 2025 · 36 min

    3483: Cisco and Presidio Unite to Build the AI Ready Network of the Future

    *]:pointer-events-auto [content-visibility:auto] supports-[content-visibility:auto]:[contain-intrinsic-size:auto_100lvh] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" tabindex="-1" data-turn-id= "request-WEB:742e9866-c0c2-4dd5-9a5d-a4d6d43ed055-7" data-testid= "conversation-turn-16" data-scroll-anchor="false" data-turn= "assistant"> *]:pointer-events-auto [content-visibility:auto] supports-[content-visibility:auto]:[contain-intrinsic-size:auto_100lvh] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" tabindex="-1" data-turn-id= "request-WEB:742e9866-c0c2-4dd5-9a5d-a4d6d43ed055-8" data-testid= "conversation-turn-18" data-scroll-anchor="true" data-turn= "assistant"> What does it really take to build an AI ready network in 2025? In this episode of Tech Talks Daily, I speak with Vikas Butaney from Cisco and Ali Tehrani from Presidio to unpack the biggest announcements from Cisco's Partner Summit and discuss how their collaboration is helping enterprises modernise networks for the AI era. Together, we explore how businesses can move faster, strengthen security, and simplify operations while adapting to a world of continuous data flow and intelligent automation. Vikas shares how Cisco's strategy is built around three customer imperatives: AI ready data centers, future proof workplaces, and digital resilience. He talks about how Cisco is weaving these priorities into new innovations such as secure routers with five times the throughput, Wi Fi 7 access points, and unified dashboards that bring Catalyst Center and Meraki together for a single view of the network. He also introduces AI Canvas, a multiplayer workspace that allows NetOps and SecOps teams to collaborate in real time, showing what it looks like when AI becomes part of the operational fabric rather than an add on. Ali joins the conversation with the partner's perspective, explaining how Presidio brings Cisco's architecture to life through the last mile of execution. He describes how the Cisco Unified Branch initiative uses AI workflows and branches as code to deliver zero touch rollout across thousands of sites. By combining automation, golden configuration templates, and telemetry driven SLAs, Presidio helps customers reduce deployment times from weeks to minutes while maintaining consistent performance and security. Throughout our discussion, we compare AI for networking, where AI helps to run and optimise the network, with networking for AI, which provides the infrastructure to power high volume AI workloads. We talk about how Cisco is building security directly into the network with Access Manager, simplifying IoT segmentation, and preparing for a post quantum world. If you want to learn more about Cisco's announcements and vision for the AI era, check out these resources: The Presidio and Cisco Partnership Cisco Supercharges its Secure Enterprise Network Architecture for the AI Era Unlocking the AI Era: How Cisco is Delivering on its Vision for a Secure, Simplified, and Scalable Network From Fragmented to Future Ready with Unified Branch: Powering IT in the AI Era This episode offers a clear, inside look at how Cisco and Presidio are shaping the next generation of secure, intelligent networks. So, how ready is your organisation for this new era of AI driven connectivity? Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.