Podcasts about tech talks daily

Customer service used to be seen as a cost center. Something to manage, streamline, and, if possible, outsource or automate. But what happens when AI shifts that narrative entirely? In this episode of Tech Talks Daily, I sat down with Ryan Peterson, Chief Product Officer at Concentrix, to unpack how customer service is being reimagined as a revenue-driving engine. With 430,000 advisors handling millions of calls for brands across every major industry, Concentrix isn't theorizing about the future. They're building it. Ryan shares how blending human empathy with AI efficiency is creating faster resolutions, stronger loyalty, and in some cases, serious bottom-line results. One example saw upsell revenue rise from $500,000 to $1.6 million per month simply by supporting human agents with smart, context-aware AI assistants. We also talk about the evolution of the agent's role. Far from replacing jobs, AI is creating a new class of specialists called agent engineers. These are people responsible for maintaining, optimizing, and guiding AI systems that now work alongside human teams. This shift is opening doors for deeper personalization, real-time translation, and richer customer engagement across channels and geographies. Ryan also gives us a behind-the-scenes look at Concentrix's award-winning IX...Low Platform, which was recently named Intelligent Personal Assistant of the Year. Supporting over 7,000 AI agents and offering robust security and integration capabilities, the platform is designed for scale and resilience. It's not just handling simple FAQs. From legal contract analysis to proactive service interventions, these AI agents are transforming how enterprise support works. We close with a forward-looking conversation about hyper-personalization, ethical AI integration, and the long-term role of trust in CX strategy. Ryan's optimism is clear, but it's grounded in metrics, use cases, and a deep understanding of what businesses actually need to deliver meaningful customer experiences. If you're curious about what customer service looks like when AI and humans collaborate effectively, or what it takes to move from handling complaints to driving conversion, this is the conversation you'll want to hear.

If you've ever used IntelliJ IDEA, PyCharm, or Rider, you've probably already felt the impact of JetBrains. But what happens when one of the world's most trusted software development toolmakers starts asking whether developers should completely rethink their identity? In this episode of Tech Talks Daily, I caught up with Kirill Skrygan, the CEO of JetBrains. Kirill's story is something many developers will admire. He joined JetBrains as a junior developer back in 2010 and steadily worked his way through the ranks. Along the way, he helped launch new products, led remote development during the pandemic, and is now steering the company into the AI era. This isn't just about adding AI features to tools. Kirill is challenging long-held assumptions about what it means to be a software engineer. He believes we're entering a new chapter where non-technical creators will build their own tools, and where proactive AI agents will help maintain and even update code automatically. It's a bold vision, but one grounded in practical experience and responsibility. JetBrains is used by over 11 million developers, including 88 of the Fortune Global Top 100, so the stakes are high. We explored how AI is lowering the barrier to software creation, what that means for traditional developers, and why Kirill believes the shift won't devalue their skills but rather evolve them. He shared insights into JetBrains' own AI agent, Junie, which is already being used in production environments. He also talked about Kineta, their no-code platform designed for a new generation of creators, including those who want to build apps without a computer science background. There's also an honest discussion around the friction points of this new wave, especially when non-engineers build tools that later need to be secured and maintained. Kirill didn't shy away from the complexity of that challenge, but he's optimistic that the industry can solve it. Toward the end of the conversation, we reflected on JetBrains' role as an independent company that doesn't chase hype or rely on VC funding. That independence gives them the freedom to build what developers actually need, rather than what might look good on a press release. This episode is a thoughtful look at the future of software development, leadership from inside the codebase, and the evolving relationship between humans and AI in one of tech's most foundational professions. If you're a developer, CTO, product manager, or simply curious about how AI is changing the craft of coding, this one's worth your time.

In this episode of Tech Talks Daily, I caught up with Raj Samani, Chief Scientist at Rapid7, to unpack the rapidly evolving world of ransomware. Raj has been on the front lines of cybercrime response for years and has seen firsthand how these attacks have professionalized. Gone are the days of casual ransomware notes asking for a few hundred dollars. Today, these groups operate like fully formed businesses with help desks, R&D teams, and carefully designed extortion models. We talked about how ransomware has become a reputational risk issue more than just a technical one. Raj shared that CEOs are often more concerned about data being exfiltrated and leaked to the press than they are about systems being locked down. It's no longer just about recovering files. It's about trust, public perception, and the long tail of brand damage. One of the most revealing parts of our discussion was how these attacks typically unfold. Raj walked me through real-world scenarios where criminals have remained inside networks for months, even years, before launching their final payload. He also described how careful planning, coordinated strike days, and threat intelligence can disrupt an attacker's kill chain before irreversible damage is done. We explored the uncomfortable truth that many organizations still fall victim to basic attacks because of poor cyber hygiene. While the threat landscape is becoming more sophisticated with the use of zero-day vulnerabilities and social engineering, many breaches still happen through exposed RDP ports or convincing phishing attempts. Raj also offered candid insights into the ethics and complexities of ransomware negotiations, why outright banning payments may backfire, and what companies should do in the first few hours after discovering they've been hit. He made it clear that cybersecurity is no longer just an IT issue. It affects everything from supply chains to public services and daily life. Is your organization prepared for the moment when ransomware moves from IT's concern to the boardroom's crisis?

n this episode of Tech Talks Daily, I'm joined by Mohib Yousufani, a senior partner at PwC who leads growth, turnaround, and digital transformation initiatives for Fortune 500 companies. Mohib brings a sharp focus on value creation, helping business leaders move beyond technology hype to deliver measurable outcomes through thoughtful digital strategies. Our conversation begins with a hard truth: many companies are confusing technology adoption with business outcomes. Mohib shares how organizations often rush to embrace the latest AI trends or automation tools without first identifying the core problems they need to solve. That misalignment, he explains, is why many digital transformation efforts stall or fail to scale beyond pilot mode. Mohib breaks down PwC's approach to digital transformation, which begins by translating enterprise ambition into actionable plans. We explore how aligning business unit goals, operating models, and leadership behavior is critical to successful implementation. He also offers a candid view of why so many projects suffer from process debt and legacy friction, often ignoring the people and culture dynamics that are central to lasting change. One of the most powerful parts of our discussion centers on how to evaluate ROI. Instead of focusing solely on cost savings, Mohib suggests expanding the lens to include revenue growth, time to market, risk mitigation, and strategic agility. He shares a compelling success story involving a CPG company that used AI and data science to optimize trade promotions and pricing, resulting in a three percent revenue lift and two percent margin expansion. We also talk about leadership's role in setting the tone. Culture, Mohib emphasizes, acts as a multiplier. Without executive alignment and clear behavioral modeling, even the most sophisticated tools won't deliver the promised value. If your organization is rethinking digital strategy, this episode is packed with insights to help you move from experimentation to real business impact. Are you building digital solutions that scale beyond buzzwords?

In this episode of Tech Talks Daily, I sat down with Fred Helou, founder and CEO of Vagaro, a platform reshaping how service-based businesses in the beauty, wellness, and fitness sectors operate in a digital world. What began as an idea sparked by a frustrating haircut booking experience during a business trip to Korea has evolved into a platform used by over 250,000 professionals worldwide. Fred walked me through his journey from developing the concept in 1999 to officially launching Vagaro in 2009 after being laid off during the financial crisis. Along the way, he navigated shifting technology trends, from desktop tools to mobile apps and now artificial intelligence. At its core, Vagaro has always aimed to be a digital assistant for its users, allowing solopreneurs and large enterprises alike to focus on their craft while automation handles the rest. Our conversation explored how AI is quietly transforming the day-to-day operations of small businesses. From writing emails and responding to reviews to answering customer chats and booking appointments in real time, Vagaro's AI tools are making it easier for service providers to grow without hiring additional staff. Fred outlined a future where professionals simply set goals for their schedule and let AI optimize bookings, promotions, and customer engagement around the clock. What stood out was Fred's commitment to enhancing—not replacing—the human experience. He spoke candidly about the irreplaceable role of the hairdresser or personal trainer and why no one wants scissors near their neck managed by a robot. Instead, the platform empowers professionals with enterprise-grade tools once out of reach for smaller operators. Fred also shared how his experience growing up during the Lebanese Civil War shaped his resilience as a founder. That perspective has influenced Vagaro's long-term approach to product development, culture, and navigating uncertainty. As AI evolves from assistance to autonomy, how is your business preparing to scale without losing the human touch that sets it apart?

In today's episode of Tech Talks Daily, I sat down with Andy Bell, Head of Data Product Management at Precisely, to explore a challenge that many organizations continue to underestimate: the role of data integrity in AI strategies. With only 12 percent of businesses expressing confidence in the quality of their AI data, it's clear that the rush to implement AI is often outpacing the readiness of the data that supports it. Andy and I unpack what happens when enterprises leap into generative or agentic AI without addressing foundational data issues. From hallucinations to bias to unreliable outputs, the risks are significant. As we discussed, these risks don't just impact models — they erode trust with customers and complicate accountability, especially in regulated industries where traceability is non-negotiable. We then explored the power of third-party data enrichment and how it can offer much-needed context that internal datasets often lack. Andy shared real-world examples, including how a major delivery company saved 65 million dollars by optimizing address accuracy and how San Bernardino County used Precisely's wildfire risk models to improve emergency planning. These aren't abstract use cases — they show measurable business value. Andy also introduced the Precisely Data Link program, a solution designed to make it easier to connect, manage, and query multiple third-party datasets. With persistent IDs and flexible delivery methods through APIs, managed services, and platforms like Snowflake and Databricks, Precisely is helping organizations speed up time to value while reducing integration headaches. Looking ahead, Andy shared how Precisely is building AI capabilities that allow users to query third-party data using natural language. This shift aims to make complex data interactions more intuitive and accessible to business users who may not be data engineers. If data is the fuel for AI, then the quality and context of that data will define the road ahead. Is your organization doing enough to ensure its data can be trusted by the AI it deploys?

In this episode of Tech Talks Daily, I sat down with Joseph Landes, co-founder and Chief Revenue Officer at Nerdio, to explore how one conversation at a Microsoft conference led to a billion-dollar cloud automation company. From his 23-year career at Microsoft to building a fully remote team now supporting over five million users, Joseph's story blends strategic risk-taking with deep industry insight. We unpacked how Nerdio grew from a startup idea in 2018 to a company that just secured 500 million dollars in Series C funding. Joseph walked me through the early days of building the business alongside co-founder Vadim Vladimirsky and how they focused on simplifying Microsoft Azure for IT professionals and MSPs. Their goal was clear: make cloud management easier, faster, and more cost-effective through automation and policy-driven governance. But this episode wasn't just about cloud optimization. We also dug into Nerdio's fully remote culture and the intentional design behind it. Joseph shared how initiatives like appointing city mayors, launching the Nerdio Break Room, and hosting an annual global kickoff have helped maintain a strong sense of community and accountability across 350 remote employees. We also discussed why Nerdio does not compete with Microsoft. It enhances and extends Microsoft's products, helping customers navigate Azure complexity while staying aligned with Microsoft's fast-changing roadmap. This customer-centric strategy, coupled with deep product knowledge and agility, has been key to Nerdio's ability to scale without losing focus. Looking ahead, Joseph shared his perspective on why AI and continuous cost optimization will shape the future of enterprise IT. He made a strong case for simplifying IT operations, empowering professionals, and turning savings into reinvestment opportunities. In an era of complexity and noise, Nerdio's growth story is a reminder of what can happen when you combine deep platform expertise with a culture that truly listens. How is your organization turning cloud complexity into an advantage rather than a barrier?

In this episode of Tech Talks Daily, I welcomed back Sumit Johar, CIO at BlackLine, for a timely conversation about how AI is transforming finance operations from the inside out. When we last spoke earlier this year, AI was still in the early stages of enterprise experimentation. Just a few months later, everything has shifted. Sumit shared how AI has moved well beyond pilot programs and into a space where business leaders themselves are actively requesting implementations. What stood out in our conversation was how this change has reshaped the relationship between CIOs and CFOs. The skepticism is fading, and a stronger sense of collaboration is emerging as both sides work together to drive transformation, align strategies, and reimagine outcomes. We explored the growing need for CIOs to be “multilingual”—not in the linguistic sense, but in their ability to navigate both technology and business. It's no longer enough to speak in code or technical jargon. CIOs must understand finance workflows, end-to-end processes, and the operational pressures CFOs face every day. This alignment is critical when evaluating how and where to deploy AI. Sumit also unpacked some of the core challenges around AI integration, including data quality, long-term sustainability, security, and ethical use. Unlike previous SaaS waves, AI adoption carries more complex risk vectors. Demos might impress, but real-world deployments demand rigorous controls, responsible governance, and the right culture. The conversation covered the ongoing build versus buy dilemma, why it's context-specific, and how BlackLine approaches those decisions with long-term scalability in mind. Sumit also shared how internal councils and cross-functional collaboration have helped guide AI strategy across the organization. If you're leading digital transformation or building the next phase of AI integration in your finance or IT teams, this episode offers clear, experience-driven insights. What's your organization doing to prepare for AI not as a concept, but as a day-to-day operational reality?

In this episode of Tech Talks Daily, I sat down with Boris Bialek, VP and Field CTO at MongoDB, for a conversation that moved well beyond databases. As AI continues to accelerate across sectors, MongoDB is positioning itself at the intersection of modern data architecture and intelligent application development. Boris shared how his team is simplifying AI adoption for enterprises, with a clear focus on real-world outcomes, developer productivity, and global inclusion. We began by exploring MongoDB's recent acquisition of Voyage AI. This move extends MongoDB's native capabilities into vector search, embeddings, and re-rankers, allowing developers to build AI-powered applications more efficiently. Boris explained how MongoDB is removing the complexity from AI integration by providing a unified API, collapsing what used to be 18 disconnected tools into a streamlined developer experience. But the discussion wasn't just about technology. Boris brought a passionate focus to the issue of financial inclusion. We talked about how AI can enable alternative credit scoring for the 27 percent of adults globally who remain unbanked. By analyzing behavioral signals such as mobile payment histories or utility data, AI can help unlock microcredit opportunities for individuals and small businesses in underserved regions. Boris shared use cases from PicPay in Brazil, M-Pesa in Africa, and Proxtera in Singapore, each demonstrating how AI and MongoDB are enabling new forms of digital trust. We also tackled the organizational and technical hurdles to enterprise AI adoption. From fears about hallucinations to managing constant model updates, Boris described how MongoDB is building systems that prioritize transparency, auditability, and scale. With its document model and integrated tooling, MongoDB offers a stable foundation for companies navigating fast-moving AI transformations. For developers, the platform now includes learnmongodb.com and quick-skill badges designed to make AI approachable and hands-on. And with the upcoming release of Boris's new book, there's more to come on how businesses can move from pilot experiments to production-grade solutions. How is your organization rethinking its data strategy to make AI work at scale?

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?

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?

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.

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?

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.

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.

In today's episode of Tech Talks Daily, I sat down with Alberto Prado, Head of Digital and Partnerships for R&D at Unilever, to explore how one of the world's largest consumer goods companies is reimagining innovation using AI. And not just in theory or in labs. This is technology already transforming the stuff most of us use every single day. From Dove body wash to Knorr stock cubes, Unilever products reach more than 3.4 billion people globally. That scale makes their R&D choices deeply relevant to how we live. What stood out in this conversation is how deeply integrated AI has become across their research efforts. This isn't about one flashy pilot project. Unilever currently runs over 400 AI initiatives across areas like microbiome science, biotechnology, and next-generation materials. Each one is focused on improving product performance, making items more sustainable, or creating personalized experiences for consumers. Alberto shared how Unilever's decades-long microbiome research is being accelerated through machine learning and high-performance computing. With over 30 terabytes of data and more than 100 patents, the company now holds one of the largest collections of human microbiome data in the world. That insight has directly influenced products like Dove and Vaseline and has led to innovations like the POND'S Microbiome Analyzer, which offers personalized skincare recommendations within an hour. In the field of biotechnology, Unilever is working with partners like Arzeda to create enzymes that outperform traditional cleaning agents, all while being more sustainable. A great example is the breakthrough behind RhamnoClean technology in Sunlight dishwashing liquid. By mimicking natural fermentation processes, Unilever can now produce bio-based surfactants that clean effectively, reduce water use, and are kinder to the planet. We also discussed how AI-driven virtual testing is replacing thousands of physical prototypes. This shift is helping Unilever rapidly develop new products like the Wonder Wash laundry detergent and Knorr's Zero Salt Cube. Alberto explained how digital models can simulate everything from stain removal in different wash cycles to how a cube holds together without salt, long before any physical version is made. And then there's the R&D Assistant, Unilever's own AI-powered co-pilot built in partnership with Microsoft. It connects over 150,000 scientific documents from across a century of research, letting scientists query insights in natural language. For Unilever's 5,000 researchers, it's not just a time saver. It's changing how they discover, collaborate, and innovate. This episode is a window into how legacy companies can drive transformation from within. Innovation isn't just happening in new industries or through startup culture.  Sometimes it's happening inside a washing machine cycle or a bottle of shampoo. So the question is, what can other large-scale enterprises learn from the way Unilever is scaling AI across its entire product development ecosystem?

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

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

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

In this episode of Tech Talks Daily, I speak with Syed Zaeem Hosain, Founder and Chief Evangelist at Aeris. This conversation comes at a critical moment. Deloitte's 2024 Cyber Threat Trends Report reported a 400 percent surge in IoT malware attacks across industries. Forrester has gone further, warning that a major IoT breach could disrupt a large class of devices by 2025. With the stakes higher than ever, Aziz shares his vision for protecting a hyperconnected world. We explore the growing risks in sectors like healthcare, energy and transportation, where compromised devices could have serious real-world impact. Aziz explains why IoT security can no longer be treated as an afterthought and how Aeris is tackling the problem with AI-powered solutions like IoT Watchtower, designed to detect and respond to threats at scale. He also addresses the shifting regulatory landscape, from the EU's NIS2 Directive to the upcoming Cyber Resilience Act. These frameworks are beginning to push organisations toward stronger protections and greater accountability. But are they moving fast enough? My guest outlines where he believes the future of IoT security is heading and what enterprises need to do now to avoid being caught off guard. From embedded AI to next-generation cellular infrastructure, this is a conversation that connects the dots between innovation, risk and responsibility. So how prepared is your organisation for the coming wave of IoT threats? Are we securing what matters most, or sleepwalking into a preventable crisis? Let me know what you think. Is IoT security finally getting the attention it deserves, or are we still too focused on convenience over caution? Join the conversation and share your thoughts.   Check out the Internet of Things for Business book.      

In this episode of Tech Talks Daily, I'm joined by Gus van Rijckevorsel, the energetic new CEO of Ultra, who's on a mission to redefine how we access, experience, and value games. Speaking from the sunny backdrop of Nice, Gus shares why now is the moment for Europe to stop playing catch-up and start leading the charge in shaping the future of on-chain gaming, digital ownership, and platform sovereignty. Backed by a fresh $12 million in funding, Ultra is not trying to be a better version of Steam. It wants to be something entirely different. Gus pulls no punches on the complacency of today's dominant platforms. He explains why Ultra's "super app" approach, blending social interaction, gameplay, creator tools, and blockchain infrastructure, is uniquely positioned to serve today's evolving gamer. This includes not just players, but watchers, creators, and earners. We explore what makes Europe the perfect launchpad for Ultra's ambitions. From its dynamic tech ecosystem to the growing urgency around digital sovereignty, Gus argues this is no longer just a business case. It is a political and strategic necessity. He outlines how Web3 can quietly enhance gaming without overwhelming users, and why the traditional idea of play-to-earn needs a serious rethink. For Gus, recognition and reputation matter more than speculative tokens. We also discuss what success looks like for Ultra. For Gus, this is not a gradual climb. It will either be massive or it will not exist at all. Along the way, he shares his personal story of being drawn back into the world of company building after vowing never to do it again. And why this particular "unpolished diamond" was impossible to ignore. So is it finally time for a European challenger to rewrite the rules of gaming? Can a platform that puts value creation at its core break through the dominance of established players? Let me know your thoughts. Is Ultra the fresh start gaming needs, or is the market simply too entrenched to shift? Join the conversation and tell us what you think.

As AI continues to dominate headlines and crypto continues to evolve behind the scenes, the real story may lie in their convergence. In this episode of Tech Talks Daily, I sat down with Dan Kim from Coinbase to discuss how these two technologies are shaping the future of digital commerce and development. Dan leads the Coinbase Developer Platform, a project focused on simplifying blockchain development for millions of developers worldwide. He shared how the platform abstracts away complexity through familiar SDKs and APIs, removing the need for deep blockchain expertise. This isn't just about making it easier to code on-chain. It's about opening the door for new kinds of applications, many of which are being driven by AI. We dug into the emerging concept of "agentic commerce," where AI agents can autonomously carry out transactions using blockchain infrastructure. These agents are now capable of acting on our behalf, making purchases and managing digital assets within defined parameters. This shift is already changing how developers think about building tools for e-commerce, travel, and digital services. Dan also discussed the evolving role of creators in this new landscape. Blockchain technology combined with AI is creating new ways to monetize content, build applications, and launch experiences without relying on traditional platforms. He even shared a personal example—his own AI-powered music project that turns complex crypto topics into relatable Top 40 tracks. From the reawakening of HTTP's long-forgotten 402 payment code to the real-world implications of AI agents handling financial transactions, this conversation revealed just how quickly things are moving. For developers and business leaders alike, the fusion of AI and crypto is no longer speculative. It's here, and it's changing how we interact, build, and pay.

What happens when a customer service platform stops thinking like a vendor and starts operating like a partner? In this episode of Tech Talks Daily, I sit down with Andrew Lawson, EVP and GM for Zendesk Europe, to explore how the company is redefining the future of customer experience through AI, innovation, and a customer-first mindset. Zendesk may be a global name, but its European roots and strategic growth across the continent tell a story of evolution. From its founding in Copenhagen to becoming a powerhouse that supports over 100,000 customers globally, Zendesk has remained focused on one thing: being the best in customer service. Andrew and I unpack how this commitment translates into real-world outcomes, from faster resolution times to dynamic partnerships with top UK brands like Tesco, Next, and Liberty London. One of the standout themes of our discussion is the company's investment in Agentic AI, designed to handle up to 80 percent of customer interactions while leaving high-touch cases to human agents. We also dive into Zendesk's outcome-based pricing model, a shift that aligns success with resolution rather than licenses or agent seats. Andrew offers insights into why this change reflects a broader market expectation for ROI-driven platforms. We also touch on the company's five acquisitions over the last 18 months, including Local Measure, and how these moves strengthen Zendesk's capabilities in the CCAS space and deepen integrations with platforms like AWS Connect. As AI continues to shape customer and employee experiences, the conversation explores not just the technology but also the challenges, especially around execution, platform stability, and cybersecurity. So, what should business leaders be doing right now to balance rapid AI adoption with responsible deployment? How are enterprise expectations evolving in the face of economic pressure and customer demand? And what does it mean to lead in customer service when the rules are changing fast? Tune in to hear Zendesk's perspective from the frontlines of transformation.      

In a world where payments have evolved from a back-office utility into a strategic business driver, how do you build a platform that truly puts control back into the hands of merchants? On this episode of Tech Talks Daily, I sat down with Dwaine Thomas, CIO of PXP, to explore how the company is transforming the payment landscape with its next generation platform, PXP Unity. PXP has been a force in fintech for over 30 years, processing over €30 billion in payments annually for some of the world's most recognised retail, hospitality, entertainment, and online gaming brands. But rather than rely on legacy systems, PXP has gone all in on greenfield development with PXP Unity, a fully API driven orchestration platform that enables merchants to plug into the services they need without the complexity of managing the entire payment stack. Dwaine walked me through how Unity empowers businesses with real-time data aggregation, smart routing, and complete transparency, all delivered through an intuitive interface. He also shared how the platform supports seamless scaling during high-demand periods, like Black Friday, and provides merchants with both control and automation to optimise payment performance across channels. What stood out was the clear shift in mindset. Sixty-four percent of merchants now view payments as a growth enabler, not just a necessity. With Unity, merchants gain the flexibility to adapt strategies on the fly, personalise the payment experience, and align payments with broader business goals. We also explored the growing role of AI in PXP's roadmap, from driving development efficiencies to enabling future use cases like AI agents within payment flows. As regulation evolves, Dwaine highlighted how initiatives like the FCA's AI sandbox point to a more proactive and structured approach to innovation in the payments space. So how can enterprises unlock new value from their payments infrastructure? How do you build for performance, resilience, and adaptability in equal measure? And what happens when payments become central to customer experience and brand loyalty? Tune in to hear how PXP is answering those questions with technology that is both powerful and practical.

What happens when you stop thinking of satellites as data collectors and start thinking of them as data analysts? That is precisely the shift we explore in today's episode of Tech Talks Daily with Michael Bartholomeusz, CEO of NOVI. Traditionally, Earth observation has relied on satellites to capture massive volumes of raw data, which is then transmitted back to Earth for processing. However, this model presents several significant challenges: cost, latency, and complexity. NOVI is flipping this model on its head. Instead of sending terabytes of data back down, their satellites analyze it in orbit and only transmit the results. That means smaller data packets, faster insights, and drastically reduced costs. Michael and I dig into how NOVI's space-based edge computing infrastructure is opening new opportunities in defense, agriculture, mining, and more. With multiple sensors onboard each satellite and a proprietary AI processing platform, NOVI enables organizations to fuse and process Earth observation data in real time. It is a shift from intelligence as a feature to intelligence as the foundation. We also discussed NOVI's evolving roadmap as it transitions from Department of Defense projects to a dual-use model that includes commercial services. Their commercial constellation is set to launch in early 2026 aboard SpaceX Transporter missions, and the company is already onboarding early adopters who are building custom inference models in preparation for this launch. What stands out in this conversation is NOVI's goal of democratizing Earth observation. Their open-access platform enables users to retain full ownership of their data, marking a significant departure from the closed systems that currently dominate the industry. Lower cost, faster processing, and open access could change who benefits from space data and how. So, what does it take to process AI in orbit? How do we reimagine satellites as part of the compute layer, not just the sensor layer? And what happens when access to real-time Earth intelligence becomes available to more than just governments and large enterprises? Listen in to find out.  

Just two years ago, the launch of GPT-4 required the support of hundreds of experts, intensive computing power, and vast coordination. Today, that same process could be executed by a team of five. That is not an exaggeration. It is a signal of just how rapidly AI development is accelerating. In this episode of Tech Talks Daily, I'm joined by Gagan Tandon, Managing Director of AI & Data Services at TELUS Digital Solutions, to explore what is behind this extraordinary shift. From the evolution of AI chip design to the efficiency gains from smarter algorithms and open-source tools, Gagan offers a clear and grounded look at how AI training has become more accessible and less resource-intensive. But the bigger question is, what can we do with that efficiency? For Gagan, the answer lies in impact. Whether it is addressing bottlenecks in global supply chains, enhancing diagnostics in healthcare, or reducing fraud in financial services, these advances in AI development are not just theoretical. They are opening new doors for innovation across industries. We also explored how TELUS Digital Solutions supports enterprise transformation through its Fuel iX platform, which helps organisations transition from GenAI pilots to scalable, secure, ethical, and practical production systems. Gagan shared examples of how large-scale transformation can be approached with agility, especially when AI is aligned to specific business outcomes rather than simply layered on top of existing systems. This conversation goes far beyond model training. It is about what's next in AI operationalization, what business leaders should prioritize when it comes to adoption, and how to avoid common pitfalls as technology continues to evolve faster than many are prepared for. So how did we go from 300 engineers to five? What should enterprises be doing right now to take advantage of this momentum? And how can we make sure that efficiency does not come at the cost of responsibility? Join us as we explore the answers.

In today's episode of Tech Talks Daily, I sat down with Matt Dawes, Head of Enterprise Sales at HALOS, to explore the fast-moving world of security technology and how body-worn cameras are rapidly transforming the way businesses approach accountability, staff safety, and incident response. HALOS is rethinking body-worn video with a fresh approach that doesn't stop at hardware. From their subscription-based service model to a real-time AI-powered backend system, their tech stack is designed to meet the growing demands of both frontline teams and the organizations supporting them. During our conversation, Matt shared how the company's origins during the COVID-19 period shaped its purpose and culture and how it has scaled across the UK, Ireland, and the US following its Series A funding in early 2024. We explored how HALOS uses AI for proactive threat detection and fall detection, which is still under development, and how their cloud-based platform, Bolt, plays a critical role in evidence management and seamless integration with broader security ecosystems. Matt also shared insights into how their system is already making an impact in sectors such as retail, where the focus isn't solely on theft prevention but also on ensuring frontline workers feel supported and protected against a backdrop of increasing aggression and workplace incidents. One of the standout aspects of the conversation was HALOS' pricing model, which offers all features, including panic alerts and live streaming, under one monthly subscription. This structure eliminates the hidden costs that often hinder full deployment, allowing clients to scale their coverage without compromise. So, how is the security technology space evolving? What role does AI play in improving situational awareness? And how can tech leaders ensure their investment protects people on the ground? Please tune in to hear how HALOS is positioning itself at the intersection of innovation and frontline security.

How do we bridge the skills gap in UK manufacturing while pushing the boundaries of automation technology? In this episode of Tech Talks Daily, I sit down with Mark Gray, UK and Ireland Country Manager at Universal Robots, to explore how collaborative robots, or cobots, are rewriting the rules for companies big and small. Universal Robots, founded by three university professors in Denmark about twenty years ago, brought the world its first cobot and recently celebrated a landmark achievement with the sale of its 100,000th unit worldwide. Mark unpacks how this milestone reflects a shift in how industries from aerospace to pharmaceuticals now approach automation. He shares how the company's easy-to-deploy cobots help tackle the tasks that many workers prefer to avoid, focusing on the dirty, dangerous, and repetitive jobs, freeing human talent for higher-value work. But this conversation goes deeper than robot arms on production lines. Mark's passion lies in addressing the UK's well-documented skills shortage, a topic that resonates with manufacturers across the country. He explains why Universal Robots is investing in free technical training courses for apprentices, aiming to equip young people with practical robotics skills and inspire fresh interest in engineering and manufacturing careers. Based in Sheffield, Mark also reveals how the city's industrial heritage and its connections with institutions like the Advanced Manufacturing Research Centre help nurture a vibrant robotics ecosystem, attracting startups and fostering local innovation. We discuss the growing adoption of cobots by small and medium-sized enterprises, the impact of labour shortages on automation strategies, and how businesses can begin their journey without overhauling entire production lines at once. From practical roadshows to free line-walk audits, Mark outlines the resources available for any company curious about automation. Whether you're a manufacturing leader looking for ways to future-proof operations or a young listener intrigued by robotics as a career, this episode shows how thoughtful investment in skills and technology can shape a more productive and resilient future for the UK and beyond. Could cobots be the missing link between today's workforce challenges and tomorrow's manufacturing success? Let's find out. Here's the link to the Kraftwerk video    

In this episode of Tech Talks Daily, I sit down with Jim Douglas, CEO of Instabug, to unpack the hidden world of mobile app development and the hurdles developers face every time you tap an icon on your phone. Mobile apps live in unpredictable conditions, surrounded by millions of device variations and users who are quick to abandon any app that fails to deliver a flawless experience.  Our discussion begins with a deep dive into why mobile apps remain so vulnerable to user churn. Jim shares a striking figure that 56 percent of users will delete an app after a single crash, a statistic that keeps many developers up at night. He explains how Instabug's platform provides a layer of mobile observability powered by AI, which helps catch problems early and offers real insights into how real people interact with apps. Instead of guessing why a user is frustrated, developers gain clear visibility through session replays and in-app surveys that reveal what KPIs alone cannot show. Jim also outlines how Instabug aims to push mobile development into a future where self-healing apps become reality. He describes Smart Resolve, a feature that already helps automate issue resolution, marking a first step toward a world where apps can detect and fix their own bugs. This evolution frees up development teams to invest their energy in innovation rather than repetitive troubleshooting. We look ahead to upcoming changes in the mobile ecosystem, touching on expectations for iOS 19, improvements in power management using AI, and the possibility that voice interfaces will soon play a bigger role in how we interact with our phones. This conversation is a must-listen for anyone building or using mobile apps who wonders why some apps feel polished while others crash and burn. Are self-healing apps closer than we imagine, and how will that reshape the daily work of developers and the experiences we all take for granted? Join us to find out.

When did you last pause to consider what it takes to turn daring ideas from a lab into reality?  In this episode of Tech Talks Daily, I spend time with Mike Otworth, Executive Chairman of Innventure, whose career reveals what happens when breakthrough technology leaves the safety of research and collides with real-world demands. Mike's view offers an honest look at what changes when you match influential inventions with a team that moves quickly and welcomes a little discomfort. We begin with Mike's unexpected transition from working on Capitol Hill to joining a group of brilliant scientists in Florida. That twist of fate shaped his life's direction and planted the seed for what later became Innventure. He explains how they tackle a problem that many overlook: big companies often create advanced solutions but lack the speed or drive to launch them effectively. His answer was to build an organization that runs on agility, quick learning, and a firm belief that course corrections are normal, not failures. One idea that sticks is what Mike calls "adaptive strategic positioning." In plain English, it means leaders must remain flexible and innovative enough to adjust their direction as soon as reality reveals something new. For founders juggling investors and product timelines, this can feel uncomfortable, yet it remains a necessary task. He also shares why he looks for "athletes" rather than box-ticking hires.  For Mike, mindset beats a perfect CV every time. He seeks individuals who bring determination, resilience, and an appetite for new challenges, regardless of their starting point. We also explore how team culture can't be built with beanbags and table football alone. Real innovation teams keep an eye on the big goal and value shared wins more than individual credit.  Mike also discusses giving every team member a stake in the outcome, ensuring everyone rows in the same direction. He gives a heartfelt nod to Dr. John Scott, a mentor whose sharp mind and honest opinions shaped his knack for spotting which tech has a chance in the market. This episode is more than another story of startup life. It's a clear window into how leadership must evolve as a company grows from a scrappy experiment to a trusted player. Mike's reflections on when to step back and let new leaders steer add a layer of honesty that many founders rarely share. If you enjoy hearing how a few bold decisions can ripple through entire industries, this chat offers plenty to chew on. Expect thoughtful lessons about courage, flexibility, and what it takes to build a company where every person is trusted to run with an idea and find a way forward. For anyone curious about early-stage success beyond the headlines, settle in and hear how Mike and Innventure prove that speed, trust, and the right people still matter most.

In this episode of Tech Talks Daily, I sit down with Nathan Thomas, Director of Innovation, Ricoh Europe, who oversees innovation across Ricoh Europe. Nathan joined me to unpack new findings from Ricoh's study of thousands of workers and business leaders across Europe.  We discussed why some countries are advancing in terms of workplace productivity while others struggle to keep pace. Spain, for example, stands out for its high productivity, which Nathan attributes to cultural changes and experiments, such as shorter working weeks and a stronger focus on employee well-being.  Meanwhile, the UK and Ireland lag, with many companies still relying on legacy systems and being slow to adopt new work habits. Nathan highlighted that only about a quarter of UK employees feel adequately equipped to work together efficiently, a statistic that raises fundamental questions about how businesses can better support their people. Our conversation turned to the slow progress many companies face in embracing AI and automation. Nathan explained that uncertainty and poor understanding of how these tools work remain huge roadblocks. He emphasized that real results emerge when companies have a plan, not just when they plug in a tool without considering how it integrates with their data and workflows. T This is where Ricoh aims to help by providing a complete workplace platform that goes far beyond what people still assume about Ricoh and its legacy as a print company. Nathan described how Ricoh Spaces brings together workplace management, process automation, sensor technology, and more into one connected experience that helps people work smarter and stay focused. What stood out for me was Nathan's approach to staying informed. He spoke about watching full-length talks online, listening to audiobooks, and reading broadly to keep ideas fresh. His mindset demonstrates how curiosity can inform better decisions, especially in an era of rapidly changing technology.  If you're trying to tackle productivity challenges in your workplace, this episode offers real insights into what holds teams back and what might propel them forward. After hearing from Nathan, I am even more convinced that culture, clear plans, and openness to new ways of working can transform any workplace. How prepared is your company to take that next step?

When was the last time you truly paused to consider how far artificial intelligence has come and where it's heading next? On today's episode of Tech Talks Daily, I dive into this fast-moving frontier with Mo Cherif, Vice President of Generative AI and Innovation at Sitecore. This conversation explores what 2025 holds for agentic AI and why this technology is poised to completely reshape the marketing landscape. Agentic AI isn't just an iteration of automation; it's a rethinking of how AI can operate independently, plan, reason, and collaborate with humans to create experiences that are more tailored and impactful than ever before. In our chat, Mo shares how Sitecore, in collaboration with Microsoft, has launched the Martech industry's first AI Innovation Lab, an ambitious initiative designed to give marketers a real-world playground to prototype and validate AI-driven solutions without the fear of wasted time or sunk cost. As Mo explains, so many marketing teams are eager to embrace AI but hesitate when it comes to proving ROI and finding the right entry point. The Lab strips away that uncertainty by pairing businesses with experts and offering a safe, agile space to experiment and co-create. We unpack how agentic AI is transforming traditional customer journeys into instant, hyper-personalized interactions. Picture a world where a single conversation with a chatbot handles discovery, decision-making, and purchase, all while retaining every piece of context for a seamless experience. Mo explains why context and governance are critical pillars that organisations need to master to harness this new era of AI without compromising brand integrity. Mo also paints a picture of the future where AI co-pilots are not an add-on but an integral part of daily workflows, taking the tedious tasks off human plates and freeing teams to focus on innovation, storytelling, and strategy. It's a future where businesses don't just talk about digital transformation, they live it, powered by AI that works alongside humans, not in their place. If you've been wondering how to start your own journey with agentic AI, this conversation offers practical insights and a glimpse into Sitecore's vision of brand-aware, goal-driven AI. How ready is your organisation to rethink its content operations and customer engagement for this new reality? Tune in and ask yourself, are you prepared to lead in the age of agentic AI?

Enterprise security has always been a moving target, but with the surge of AI adoption, it's entering a whole new era of complexity. In this episode of Tech Talks Daily, I speak with Bradon Rogers, Chief Customer Officer at Island, who brings over 25 years of cybersecurity experience to a conversation that cuts through the noise on AI, data protection, and the evolving role of the browser. Bradon warns that AI isn't just creating new opportunities. It's also generating what he calls a derivative data nightmare. Large language models are now producing massive volumes of unstructured outputs that differ in formatting but carry the same meaning. These subtle variations are already overwhelming traditional data loss prevention tools, and the challenge is only growing. Yet Bradon doesn't stop at the warning. He believes AI might also be the solution. We discuss why businesses need to move beyond old data-centric approaches and start designing application-centric frameworks that mirror how people work. In a world where banning AI is no longer realistic, organizations need practical ways to guide users toward safe, sanctioned tools. Bradon explains how enterprise browsers can serve as that safe space, combining usability with security and offering a familiar interface that doesn't get in the way of productivity. He also addresses the new breed of shadow IT emerging from embedded AI features in everyday apps, as well as the importance of understanding how third-party providers utilize your data behind the scenes. For anyone still thinking of AI adoption as a checkbox exercise, Bradon makes it clear this is a complex governance challenge that demands a new mindset. From call center automation to real-time coaching workflows, the conversation explores how AI can enhance precision, minimize false positives, and support teams without overwhelming them. We wrap up with a powerful music recommendation that perfectly reflects the winding road many tech leaders now find themselves navigating.

In this episode of Tech Talks Daily, I sat down with Ashley Stevenson, VP of Product and Solution Marketing at DigiCert, to explore the shifting landscape of digital trust. We are living in a time where certificate-related outages still disrupt critical systems, identity management is becoming more complex, and the arrival of quantum computing is no longer a distant concern. Ashley brought clarity to these issues with a practical look at how DigiCert is helping organizations manage trust at scale. Our conversation began with the foundational role DNS and PKI play in digital infrastructure. While most users never think about them, every secure connection begins with DNS resolving a domain and PKI establishing trust. DigiCert has combined these layers in a single platform, DigiCert1, designed to automate and simplify how trust is managed across networks, users, and connected devices. We explored the increasing importance of certificate lifecycle management. With certificate lifespans moving from 398 days to just 47 by 2029, and domain validations required every 10 days, automation is no longer a convenience. It is a necessity. DigiCert1 addresses this through centralized inventory, policy enforcement, proactive notifications, and full automation from issuance to installation. Ashley also shared insights on the convergence of PKI and identity and access management. From IoT to human users, digital identities are multiplying and evolving. PKI is playing a larger role in enabling passwordless authentication and supporting verifiable credentials, especially as organizations move toward privacy-enhancing and standards-based models. Looking ahead, we discussed quantum readiness and crypto agility. DigiCert is already helping customers evaluate which systems are most vulnerable and preparing them to adopt quantum-safe algorithms when needed. Whether the concern is policy change, an unexpected breach, or emerging tech, the ability to adapt quickly is key. How do you build a strategy for trust that adapts to this pace of change? This episode offers an inside look at how DigiCert is answering that question.

When I last spoke with Tony Jamous in November 2020, we were navigating the early days of a remote-first world. The shift was sudden and widespread, but what followed was even more transformative. In this episode of Tech Talks Daily, I reconnect with Tony to explore how the world of work has changed and how Oyster has grown from an ambitious startup into a B Corp-certified unicorn focused on enabling global employment at scale. Tony is the CEO and founder of Oyster, a company built on the belief that where you live should never limit where you work. We discussed the journey from pandemic-driven remote work to today's distributed models, the growing need for location-independent hiring, and how AI is now being embedded into every layer of global workforce management. Oyster is helping businesses hire across 180 countries with just a few clicks, solving compliance, payroll, and benefits challenges without the traditional roadblocks. During our conversation, Tony broke down what it means to build a mission-driven company and why measuring impact matters. More than 40 percent of employees hired through Oyster now come from emerging markets. That shift is not just a statistic. It reflects real people gaining access to economic opportunities they were previously excluded from. Stories like Christina in the Philippines, who now works from home and spends more time with her children, highlight the human impact of Oyster's platform. We also talked about Oyster's recent Series D funding round and how the company is shifting from high-growth to sustainable profitability. AI is a big part of that evolution. From internal operations to customer support, automation is being used to reduce friction and let people focus on work that matters. For Tony, leadership now means focusing on vision and values while letting AI handle repetitive tasks. What does the future look like when the world becomes one talent pool? This episode offers a grounded, forward-looking take on what happens when mission, technology, and global opportunity intersect.

What does it mean to own something in a world where everything is digital? In this episode of Tech Talks Daily, I sit down with Ian Rogers, Chief Experience Officer at Ledger, to unpack the growing importance of digital ownership in the age of AI, blockchains, and digital identity. With more than 6 million devices sold and 20 percent of the world's crypto secured, Ledger has become a trusted name in both consumer and enterprise digital asset security. But this conversation goes far beyond crypto wallets. Ian explains why self-custody matters, how Ledger devices actually work, and what separates them from traditional custodial models. "Giving people the ability to securely own their own digital private property is fundamentally what we're all about," Ian says, breaking down a complex topic in a way that's both clear and urgent. We also talk about the convergence of AI and blockchain, the risks of relying on cloud-based security, and why digital proof and provenance are becoming essential in our online lives. Whether you're just starting out or already immersed in Web3, this is a conversation that connects the dots between identity, security, and personal empowerment. What does responsible digital freedom look like? And are you ready to take ownership? I'd love to hear what you think. Get in touch and let me know what digital ownership means to you today.  

In this episode of Tech Talks Daily, I speak with Samit D'Cunha, a legal advisor at the International Committee of the Red Cross (ICRC), about the innovative Digital Emblem Project. For over 160 years, the Red Cross emblem has symbolized protection in conflict zones, designating medical and humanitarian organizations as safe from attack. Now, as warfare increasingly extends into cyberspace, the ICRC is developing a digital version of this emblem to provide the same legal protections for online infrastructure. We examine the increasing frequency of cyberattacks on hospitals and aid organizations during armed conflict, and why the Digital Emblem is more crucial now than ever. Samit explains the technical side of the project, including the use of cryptographic certificates and DNS systems to ensure global, decentralized protection. He also discusses the importance of legal recognition and trust-building across governments, tech companies, and humanitarian sectors. As the digital battleground expands, this emblem could play a crucial role in safeguarding lives and ensuring that humanitarian operations continue uninterrupted. We also explore the challenges of implementing this system without increasing organizations' vulnerability, and why support from over 100 tech companies and states is crucial for its success. If you're interested in the intersection of cybersecurity, law, and humanitarian efforts, this is a conversation you won't want to miss.

In this episode of Tech Talks Daily, I am joined by Scarlett Sieber, Chief Strategy and Growth Officer at Money20/20, to explore the key trends shaping finance's future. As Money20/20 Europe celebrates its 10th anniversary, Scarlett provides a detailed preview of what we can expect from this year's event, bringing together over 8000 senior industry leaders to discuss the evolving landscape of fintech, regulation, and technology. Money20/20 Europe is not just a conference. It is a critical platform for addressing the big questions about where money, tech, and regulation are headed. Scarlett highlights the growing collaboration between traditional banks and fintech companies, calling it the "golden era" of partnerships. This shift drives innovation, and we discuss how these partnerships are evolving to enable more personalized, efficient financial services for businesses and consumers alike. A significant focus of our conversation is the rise of stablecoins, which are transforming cross-border payments in ways similar to how the internet changed the telecom industry. We talk about the regulatory challenges that need to be addressed to fully harness their potential and ensure their adoption on a global scale.  Scarlett also shares insights into how AI revolutionizes financial services, enabling more intelligent, automated solutions while raising important questions about trust, data privacy, and security. We also discuss the impact of the UK's post-Brexit regulatory flexibility, with Scarlett explaining how this presents a unique opportunity for the UK to lead in fintech innovation. However, she points out that policy execution must keep pace with technological advancements. Tune in for a conversation about the future of fintech and a timely preview of Money20/20 Europe, where innovation and regulatory discussions will define the next wave of financial services.

In this episode of Tech Talks Daily, I'm joined by Glen Shok, VP of Product Marketing at Panzura, for a detailed look into how the company is rethinking hybrid cloud storage with the release of CloudFS 8.5 Adapt. CloudFS 8.5 isn't just another update. Built in direct response to customer feedback, it introduces powerful new features like Instant Node and Regional Store that redefine performance, availability, and business continuity. Instant Node allows failed systems to be replaced or migrated in under five minutes.  Regional Store brings high-speed data access closer to end users around the world while reducing latency and cloud egress costs. As Glen explains, the latest release meets the growing demand for flexibility in the face of geopolitical uncertainty, rising cloud costs, and evolving IT infrastructure. Panzura is helping organizations maintain uptime, protect data, and adapt quickly, whether moving away from VMware or modernizing a global IT footprint. CloudFS 8.5 Adapt enables this without forcing customers to compromise on control, performance, or security. We also explore how Panzura's vision for autonomic data infrastructure is becoming a reality. With every CloudFS node sharing full configuration metadata, new nodes can spin up almost instantly. AI plays a central role here too. Through Panzura Data Services, AI tracks behavioral anomalies to detect early signs of data exfiltration, ransomware, or internal threats. This provides not just alerts, but the ability to interdict and isolate risky behavior in real time. Looking ahead, Glen shares how Panzura is preparing to support AI workloads directly where unstructured data lives. Instead of migrating terabytes to external platforms, organizations can train language models in place, reducing cost and complexity. With features like enhanced RBAC, native Entra ID support, and a virtual data lake model on the horizon, Panzura is clearly positioning itself at the intersection of enterprise storage and AI innovation. If you work in cloud infrastructure, cybersecurity, data governance, or AI deployment, this episode offers practical insights into the challenges IT teams face today and the technologies that are solving them.

In this episode of Tech Talks Daily, I'm joined by Chase Garbarino, Co-Founder and CEO of HQO, a company reimagining the way commercial real estate connects with its occupants. From digital keycards to IoT-enabled spaces, HQO is building the operating system for real estate, already active across 250 million square feet in 24 countries. We explore how commercial real estate, once known for its slow adoption of technology, is finally undergoing rapid transformation. Chase shares the story behind HQO's creation, the drive to modernize the built environment, and why he believes cities are humanity's greatest product. He outlines how hybrid work, flexible leases, and higher user expectations have pushed property owners to rethink what a workplace should offer. But this isn't just a tech story. It's about connection. Chase reveals how HQO is helping create meaningful experiences through digital tools that serve every type of building user, not just those paying the rent. From commute integration to smart access, amenity bookings to workplace engagement, HQO's platform is designed to be both invisible and impactful. We also learn about the Quantum City Initiative, a new effort from HQO and MIT to help existing cities leap forward with shared learnings, digital infrastructure, and civic innovation. It is not about tearing cities down and starting from scratch. It is about helping them adapt, thrive, and compete in a connected world. Chase closes by sharing one of his favorite stories: how a shoe company, a beer company, and a 3D printing firm all found community inside an HQO-powered building. These companies collaborated, socialized, and created something no one could have planned, all because the tech enabled real people to meet. If you are curious about how smart buildings are becoming more human or how data and design can shape a more connected future, this conversation will spark new ideas.

What happens when AI reshapes intellectual property, and decentralized storage rewrites data sovereignty? In this episode of Tech Talks Daily, we explore that intersection with a deep dive into the work of StorX Network, a platform rethinking cloud storage from the ground up. Our guest joins from StorX, a decentralized cloud storage network designed with privacy, security, and user empowerment at its core. At a time when data privacy is eroding and centralized providers are struggling to keep pace with evolving threats, StorX offers a radically different approach. Their system encrypts data using the user's private passphrase, fragments it into smaller pieces, then distributes multiple copies across a global network of autonomous nodes. The result? A storage solution that is trustless, censorship resistant, and economically more efficient, often cutting costs by up to 90 percent compared to traditional providers. We discuss how StorX is positioning itself in a world increasingly concerned about surveillance, ransomware, and digital control. Much like AI is forcing conversations around copyright and ownership, decentralized storage is surfacing urgent questions around who controls data and how it's accessed. This episode is not just about technology, it's about the philosophical shift in how we think about trust, control, and freedom in digital spaces. We unpack why decentralized architecture matters, how privacy-preserving systems can scale, and where innovation is heading next. If you're building applications or storing sensitive data, this is a conversation worth tuning in for. Because as digital life becomes more complex, where and how we store our information will define what kind of internet we want to live in. Want to hear more stories at the intersection of privacy, decentralization, and innovation? Subscribe and stay tuned.

What happens when the world's most powerful AI systems are measured by the same yardstick? In this episode of Tech Talks Daily, I spoke with David Kanter, Founder and Executive Director of MLCommons, the organization behind MLPerf, the industry's most recognized benchmark for AI performance. As AI continues to outpace Moore's Law, businesses and governments alike are asking the same question: how do we know what “good” AI performance really looks like? That's exactly the challenge MLCommons set out to address. David shares the story of how a simple suggestion at a Stanford meeting led him from analyst to the architect of a global benchmarking initiative. He explains how MLPerf benchmarks are helping enterprises and policymakers make informed decisions about AI systems, and why transparency, neutrality, and open collaboration are central to the mission. We explore what's really driving AI's explosive growth. It's not just about chips. Smarter software, algorithmic breakthroughs, and increasingly scalable system designs are all contributing to performance improvements far beyond what Moore's Law predicted. But AI's rapid progress comes with a cost. Power consumption is quickly becoming one of the biggest challenges in the industry. David explains how MLCommons is helping address this with MLPerf Power and why infrastructure innovations like low-precision computation, advanced cooling, and even proximity to power generation are gaining traction. We also talk about the decision by some major vendors not to participate in MLPerf. David offers perspective on what that means for buyers and why benchmark transparency should be part of any enterprise AI procurement conversation. Beyond the data center, MLCommons is now benchmarking AI performance on consumer hardware through MLPerf Client and is working on domain-specific efforts such as MLPerf Automotive. As AI shows up in smartphones, vehicles, and smart devices, the need for clear, fair, and relevant performance measurement is only growing. So how do we measure AI that is everywhere? What should buyers demand from vendors? And how can the industry ensure that AI systems are fast, efficient, and accountable? Let's find out.

In this episode of Tech Talks Daily, Neil is joined by Jose Soto, VP of Engineering at Converge Marketing, to discuss how data democratization transforms performance marketing. Jose highlights a common bottleneck in marketing where engineering teams act as the data gatekeepers, often slowing down marketing efforts. He explains how empowering marketers with self-service access to data through intuitive platforms speeds up decision-making and drives measurable growth for brands. Jose talks about how Converge has broken down data silos by creating clean data pipelines and user-friendly tools that allow non-technical users to interact with data confidently. Instead of relying on engineers, marketing teams now have the freedom to access data, build reports, and analyze trends in real-time. This shift has led to improved agility, better collaboration, and faster campaign optimizations. The conversation also explores the impact of AI and machine learning on marketing. Jose discusses how these technologies are helping marketers make more precise, data-driven decisions by enabling predictive analytics, optimizing creative messaging, and even automating campaign management. As AI continues to evolve, marketing teams can make more informed decisions with greater accuracy. For businesses aiming to stay ahead in the ever-changing marketing landscape, this episode offers valuable insights on empowering teams, streamlining operations, and leveraging data to foster growth. Listen in to discover how Converge is breaking down data barriers and preparing for the future of AI-powered marketing.

On this episode of Tech Talks Daily, I sit down with Gene Hoffman, CEO of Chia Network, to explore a bold new vision for digital assets, investing, and regulatory-compliant blockchain innovation.  While much of the blockchain space has struggled with regulatory clarity, Chia has taken a different path, working closely with the SEC and other regulators to ensure long-term viability for the network and its applications. With a groundbreaking joint venture called Permuto, Chia is pushing that vision even further. Permuto is set to tokenize equity investments directly on Chia's independent layer-1 blockchain. The first application? Microsoft stock.  However, rather than simply offering a digital replica of a share, the platform will divide each into separate dividend and growth certificates. This new level of granularity can reshape the way institutions and individuals think about risk, returns, and liquidity. It's particularly relevant for low-risk investors and retirees looking to isolate stable dividend income without exposure to market volatility tied to growth stocks. Gene explains how this innovation could signal the next evolution of ETFs, offering flexible investment structures powered by blockchain. He also shares why Chia's commitment to open-source technology and green consensus mechanisms has allowed it to attract serious institutional interest without compromising principles. We also discuss Gene's participation in the SEC's upcoming Crypto Task Force Roundtable, where industry leaders will explore the convergence of traditional and decentralized finance. With deep ties to the crypto community and regulatory institutions, Gene offers a rare perspective on how to scale new financial tools in today's regulatory environment responsibly. Can blockchain finally deliver on its promise of transforming capital markets in a transparent, compliant, and useful way to everyday investors? Let's find out.  

In today's episode of Tech Talks Daily, I sat down with Bulent Cinarkaya, General Manager of Field Service Management at ServiceNow, to explore how AI is transforming the frontlines of field service. Often overlooked in the broader tech conversation, the technicians working outside the office are now seeing real, tangible improvements to their daily workflows thanks to advancements in intelligent automation. Bulent brings a wealth of knowledge from working closely with global organizations that rely on ServiceNow to improve how they plan, dispatch, and support field teams. We talked about how agentic and generative AI are no longer theoretical tools; they are actively used to predict what technicians will need before arriving, automate access to resources, and reduce inefficiencies in task planning. One of the most compelling parts of our conversation was how ServiceNow is using AI to improve productivity and enhance the human experience. From easing the onboarding of new technicians to capturing decades of experience from retiring experts, AI is helping teams bridge a generational gap in expertise. Technicians can now rely on intelligent systems to surface the correct information at the right moment, whether through summarizing technical documents or guiding them through complex tasks. We also discussed the operational impact, with examples from customers like Bell Canada, Coursera, and British Telecom, who are seeing measurable improvements in scheduling accuracy and time to resolution. Bulent stressed the importance of unified data models, integrated platforms, and strong change management as organizations look to scale AI to ensure adoption and success. This episode is a wake-up call for anyone still on the fence about AI in field service. AI is not only improving technician efficiency, but it's also helping companies retain talent, meet rising customer expectations, and ultimately future-proof their operations. So, how ready is your organization to move beyond proof of concept and turn AI into a field-ready advantage?          

When cybersecurity companies are racing to outpace evolving threats, innovation often starts in an unexpected place: revenue operations. In this episode of Tech Talks Daily, I sit down with John Queally, Senior Director of Revenue Operations at Clari, to explore why RevOps has become a vital engine behind the performance and resilience of cybersecurity leaders. John brings a unique perspective from his journey through banking, analytics, and enterprise tech. What stands out is how rapidly the RevOps function has matured from a back-office support role to a central, strategic force. Especially in the cybersecurity space, where innovation requires ongoing investment and risk is measured in seconds, the pressure to run efficient, scalable revenue processes has never been greater. We delve into why clean, trusted data is the backbone of any AI strategy and how 67% of revenue leaders still don't trust the data they're using. It's a staggering insight, and one that underscores the urgent need for cross-functional alignment. John explains how RevOps can serve as the connective tissue across sales, marketing, customer success, and finance, moving companies from a place where they're debating the accuracy of dashboards to making real decisions in real time. He also shares a behind-the-scenes look at Clari's work with cybersecurity firms like Okta, where implementing balanced pipeline strategies and streamlining task prioritization has unlocked measurable improvements. We discuss the rise of AI, but John doesn't just repeat industry headlines. He calls out the "unsexy" truth that real AI advantage requires the hard work of data cleanup first and those who do it will pull ahead. From operational transparency to building trust within revenue teams, this episode challenges assumptions about how data, AI, and RevOps intersect. And for anyone in cybersecurity or enterprise tech wondering how to scale effectively while preparing for what's next, this conversation offers a grounded and insightful starting point. Is your company still debating data? Or are you ready to turn trusted insights into action?

Holography has long lived in the shadow of science fiction, but what happens when it's finally real  and ready for the consumer market? In this episode recorded at Tech Talks Daily, I sit down with Darran Milne, co-founder and CEO of VividQ to unpack what sets true holography apart from the gimmicks. With a background in quantum physics and years of technical leadership, Darran cuts through the noise around immersive display technologies and explains how VividQ is building real holographic experiences — not tricks of the eye, but accurate 3D projections that replicate how we naturally see the world. Darran walks us through the technology powering their recent demo with Call of Duty, showing that VividQ's tech isn't just theoretical. It runs on today's hardware and can convert existing 3D content into holograms without access to the original source code. That changes the game for entertainment, but it's only the beginning. We explore where else this could lead: head-up displays in cars that genuinely blend digital directions into the driver's view, medical devices that eliminate the need for separate testing rooms, and even the idea of holography replacing traditional screens entirely. Darran doesn't just speculate on the future — he outlines a practical, layered rollout strategy, identifying the industries where the technology can scale first. This isn't about chasing hype. It's about thoughtful engineering and commercial execution. If your business touches gaming, automotive, spatial computing, or XR, this conversation shows why holography may be closer than you think — and how VividQ plans to put it in front of you. Could your next screen be light itself?

What if companies could tap into powerful behavioral AI without compromising user privacy or crossing legal lines? In this episode of Tech Talks Daily, I sit down with Frank Portman, CTO of Yobi, to explore how his team is building foundation models grounded in real user behavior, backed by ethically sourced and consented data. Frank shares how Yobi is taking a distinct approach. They're not building large language models or racing to dominate generative AI headlines. Instead, they're focused on data integrity, transparency, and security from day one. With a strategic partnership with Microsoft Azure, Yobi delivers models that run directly within a customer's environment. That means privacy is preserved, data stays protected, and companies still benefit from intelligent, adaptive systems. We unpack how Yobi avoids risky use cases like financial underwriting and healthcare, how their models are trained to avoid demographic bias, and why they actively reward systems for being bad at guessing personal traits. This isn't just about compliance. It's about designing products that work better because they're built responsibly. Frank also opens up about Yobi's internal culture, his belief in first-principles thinking, and how empowering engineers to "place bets" drives innovation. He offers insight into what the AI industry must learn quickly from recent missteps, including data misuse and growing public skepticism. If you're exploring AI solutions and wondering how to build or buy systems that scale without cutting ethical corners, this conversation delivers clarity, honesty, and direction. Are you ready to rethink what responsible AI should look like inside your company?

In today's episode of Tech Talks Daily, I sit down with Christian Reilly, Field CTO for EMEA at Cloudflare, the Connectivity Cloud company, to examine the latest findings from their cybersecurity research and what they reveal about how prepared different industries really are. While sectors like IT, gaming, and financial services have seen a higher volume of cyberattacks, they also report greater readiness and resilience. In contrast, industries like education and healthcare, although less frequently targeted, remain far less prepared to defend against growing threats. This gap raises important questions about how organizations approach security depending on their legacy systems, revenue models, and digital maturity. Christian brings years of frontline experience to the discussion and shares actionable insights into how companies can build cybersecurity strategies that not only protect but also improve performance. From the shift toward zero trust architecture to the critical role of board-level engagement, we explore how forward-thinking organizations are rethinking the role of cybersecurity in modern digital operations. He explains why simplicity often beats complexity, and how reducing friction for end users is key to long-term resilience. We also look ahead to some of the key trends shaping the future of security. Christian dives into the challenges posed by emerging technologies such as quantum computing, AI, and the explosion of data generated by IoT and smart infrastructure. He stresses the importance of preparing now for scenarios like Harvest Now, Decrypt Later, and why organizations need to begin thinking seriously about post-quantum cryptography. On the human side, Christian outlines what effective training looks like today and how to shift employee culture from compliance to awareness. If you're wondering how to stay one step ahead of evolving threats, this conversation offers a wealth of insight from the heart of the Connectivity Cloud. How is your organization preparing for what's coming next?

In today's episode of Tech Talks Daily, I reconnect with Abnormal AI's CIO, Mike Britton, to explore one of the most pressing topics in the tech world—AI regulation and cybersecurity.  Speaking from his base near Dallas, Mike brings a pragmatic perspective shaped by decades of experience at the intersection of enterprise technology and security. As the debate around artificial intelligence evolves, we examine the growing divide between the United States and Europe on regulatory approaches and what business leaders can learn from each side. While Europe takes a more cohesive, application-based approach, the US remains fragmented, relying on state-by-state policies and sector-specific laws. Mike unpacks why this patchwork complicates global alignment and what an effective risk-based, standardized framework might look like. He argues that regulation must focus on how AI is applied, not just its scale, especially as the technology becomes embedded in everything from healthcare to email automation. We also touch on the unintended consequences of overregulation, including the risk of pushing innovation into regions with fewer safeguards. As Abnormal Security works with some of the world's largest brands, Mike offers a frontline view into how threat actors are already leveraging AI to outpace traditional defenses. His insights reinforce the need for transparency, human oversight, and "kill switches" to ensure AI remains a tool for good, not a liability. From real-world examples to strategic recommendations, Mike outlines what CIOs and CISOs need to know now. His advice is clear, grounded, and actionable, whether embracing regulatory sandboxes, staying alert to geopolitical nuances in AI models, or maintaining continuous learning in a fast-moving space. So, how do we keep innovation ethical and secure in a world where AI is moving faster than ever? And what steps should technology leaders take to avoid falling behind or losing control of the tools meant to drive progress?