Tech Talks Daily

Neil C. Hughes

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

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

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

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

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

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

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

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

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June 20 · 20 min
How Room & Board Uses Technology to Keep Customer Experiences Personal
Recorded at Cisco Live, this episode features Mark Rodrigue, Senior Network Engineer at Room & Board. This furniture retailer has built its reputation around design expertise, long-term customer relationships, and personalized service. While many retailers focus on transactions, Room & Board takes a different approach, helping customers make decisions about products they may live with for years or even decades. During our conversation, Mark explains how technology is helping the company meet customers wherever they are. Whether someone visits a showroom, works with a designer remotely, or schedules a virtual consultation from home, the goal remains the same: deliver a consistent experience that feels personal, thoughtful, and easy. We discuss how customer expectations have changed in recent years and why retailers must support both physical and digital experiences without compromising quality. Mark shares how Room & Board expanded from thinking about dozens of retail locations to supporting a workforce that can effectively serve customers from almost anywhere. The conversation also explores the realities of running modern IT operations with a lean team. Mark explains how a small group of engineers supports networking, wireless connectivity, security, collaboration tools, and business operations across the company. We discuss the value of visibility, the role of automation, and why reducing operational complexity allows teams to spend more time supporting business outcomes rather than managing infrastructure. Looking ahead, we examine the growing role of AI in IT operations. Rather than viewing AI as a replacement for skilled professionals, Mark sees agentic technologies as digital coworkers that can help teams find information, handle routine tasks, and accelerate troubleshooting. The result is more time spent focusing on customers, employees, and strategic priorities. What stood out throughout this discussion was a simple philosophy: the best technology is often the technology nobody notices. When systems work as intended, customers can focus on designing their homes, employees can focus on helping them, and technology quietly does its job in the background. As customer expectations continue to evolve, how can organizations leverage technology to deliver better experiences without losing the human connection customers value most?
June 19 · 27 min
Inside SAP's AI Strategy After Sapphire
What happens when one of the world's largest enterprise software companies declares that it is no longer a software company, but an AI company? At SAP Sapphire, I caught up with James Bates, Head of Customer Advisory at SAP UK & Ireland, to discuss the company's vision for what it calls the Autonomous Enterprise and why this year's event felt different from any SAP conference before it. From standing-room-only AI sessions to bold declarations from SAP leadership, there was a clear sense that the conversation around AI has moved beyond experimentation and into the world of measurable business outcomes. In our conversation, James explained why so many organizations remain stuck in what he described as the experimentation phase of AI, despite years of investment and countless pilot projects. We explored why successful AI initiatives begin with business outcomes rather than technology choices and why data, governance, and process context have become the foundations of enterprise AI success. We also examined some of the standout announcements from Sapphire, including SAP's AI Agent Hub, the growing role of Joule as a new interface for work, and the company's expanding ecosystem of partnerships with organizations including Anthropic, NVIDIA, Microsoft, Google Cloud, Palantir, and Mistral. James shared why SAP believes the future lies in combining large language models with business context, process knowledge, and trusted enterprise data. The discussion also touched on real-world examples that demonstrate how AI agents are beginning to transform customer experiences, automate complex workflows, and support employees across finance, supply chain, and customer-facing operations. Rather than replacing people, James sees AI assistants and agents working alongside employees, removing repetitive tasks and helping teams focus on higher-value activities. We also explored the challenge many business leaders continue to wrestle with: how to balance autonomy with governance. As AI agents become more capable, maintaining visibility, accountability, and control becomes increasingly important. James shared why governance, trusted data, and strong business processes must remain at the center of every AI strategy. If you've been wondering whether enterprise AI is finally moving beyond the hype cycle and into meaningful business transformation, this conversation offers a fascinating perspective from the heart of SAP's AI strategy and its vision for the future of work. What role do you think AI agents will play inside your organization over the next few years? Share your thoughts.
June 18 · 27 min
Rethinking Healthcare Security with XIFIN and CrossConnect Engineering
How do healthcare organizations continue innovating while protecting some of the most sensitive data in existence? Recorded at Cisco Live, this episode features Kevin Ludwig, Associate Vice President of Information Technology at XiFin, and Jeff Kronlage, CEO of CrossConnect Engineering. Together, they provide a behind-the-scenes look at the technology infrastructure supporting healthcare billing, laboratories, pharmacies, and medical providers, where reliability, security, and automation all play a central role in keeping critical processes moving. During our conversation, Kevin explains how XiFin helps healthcare organizations process and validate complex billing workflows while reducing manual intervention wherever possible. With healthcare providers facing growing financial pressure, improving efficiency has become increasingly important, but never at the expense of security or data protection. We explore how cyber threats continue to shape decision-making across healthcare technology and why organizations are looking beyond traditional security architectures. Kevin and Jeff share their experience as one of the earliest adopters of Cisco's smart switching technology, discussing how distributed security models can simplify operations, reduce complexity, and help teams manage growing demands without constantly adding new layers of infrastructure. The conversation also examines AI adoption inside healthcare environments. While organizations are eager to benefit from automation and AI-powered capabilities, Kevin explains why guardrails, governance, and customer trust remain top priorities. We discuss the balance between innovation and risk, the importance of observability, and how teams are approaching AI with both enthusiasm and caution. Along the way, Jeff offers an insightful perspective on reducing decades of accumulated technical debt, challenging long-standing assumptions about network security, and creating simpler ways to manage increasingly complex environments. What emerges is a discussion about much more than technology. It's a conversation about trust, responsibility, and helping healthcare organizations deliver better outcomes through smarter systems and better operational decisions. If you're interested in healthcare technology, cybersecurity, AI adoption, or the future of enterprise infrastructure, this episode provides valuable insights from leaders working at the intersection of all four. As healthcare becomes increasingly connected and data-driven, how should organizations balance innovation, security, and trust?
June 17 · 29 min
Google Cloud Summit London 2026: Turning AI Ambition Into Business Results in the Agentic Enterprise
What does it take to move from AI experimentation to real business impact? Recording during Google Cloud Summit London 2026 at Tobacco Dock, I had the opportunity to speak with Maureen Costello, Vice President for UKI and Sub-Saharan Africa at Google Cloud, about one of the biggest shifts currently taking place across technology and business. After years of discussion around generative AI, the focus is now turning toward agentic AI and how organizations can put these capabilities to work in practical, measurable ways. Maureen offered a fascinating view from the front line of AI adoption, sharing how businesses across financial services, retail, government, and other sectors are beginning to move beyond pilots and proof-of-concept projects. We discussed how AI is helping organizations improve customer experiences, increase productivity, strengthen decision-making, and create new opportunities for growth. From helping banks tackle financial crime and deliver smarter customer services to supporting government departments in modernizing public services, the conversation is filled with examples that bring the technology to life. We also explored why the UK is so well positioned for the next chapter of AI adoption. With world-class research, exceptional talent, and ambitious investment across both the public and private sectors, Maureen believes the UK has a genuine opportunity to remain at the forefront of AI innovation. She also explained why skills development, data readiness, security, governance, and trust will play such an important role as organizations begin introducing AI agents into everyday workflows. What I particularly enjoyed was discussing the human side of this transition. As AI becomes embedded into business operations, how should leaders prepare their teams? What separates organizations that achieve meaningful outcomes from those that struggle to move beyond the early excitement? And how can businesses strike the right balance between innovation, responsibility, and long-term value? Whether you're following the announcements from Google Cloud Summit London, building your own AI strategy, or simply trying to understand where this technology is heading next, this conversation offers valuable insight into one of the most talked-about topics in business today. What role do you think agentic AI will play inside your organization over the next 12 months, and are businesses finally moving from curiosity to meaningful adoption?
June 16 · 27 min
Cisco's AI Strategy and the Future of Enterprise Growth
What does strategy look like when the technology industry seems to change every few months? Recorded at Cisco Live, this episode features Ammar Maraqa, Cisco's Chief Strategy Officer, whose role spans corporate strategy, mergers and acquisitions, venture investments, technology incubation, strategic partnerships, and long-term planning. Few people have a broader view of where the technology industry is heading and how companies can position themselves for what comes next. During our conversation, Ammar shares why he believes many organizations are thinking about AI the wrong way. Rather than viewing it as a productivity tool or cost-saving exercise, he argues that AI represents a much deeper shift in how work gets done, how organizations operate, and how leaders should think about growth. We explore Cisco's approach to strategy in an era defined by constant disruption, including why the company focuses on testing assumptions rather than repeatedly changing direction. Ammar also explains how Cisco uses a combination of building, acquiring, partnering, investing, and incubating to accelerate innovation and stay close to emerging technologies. The discussion also examines what Cisco learns from engaging with startups, entrepreneurs, venture investors, customers, and partners around the world. From advances in AI infrastructure and silicon to agent orchestration, observability, security, and enterprise adoption, Ammar shares the themes he believes deserve the closest attention from business leaders today. We also discuss one of the biggest challenges facing organizations: the growing gap between what AI is capable of and what companies are actually prepared to adopt. Ammar explains why infrastructure, data, security, workflow redesign, and organizational change remain essential ingredients for success, regardless of how powerful the underlying models become. Along the way, he offers insights into business model disruption, the future of enterprise software, and why some companies successfully reinvent themselves while others struggle to adapt. If you're interested in strategy, innovation, AI adoption, or the forces shaping the next decade of enterprise technology, this conversation provides a thoughtful perspective from someone helping guide one of the industry's most influential companies through a period of extraordinary change. How often does your organization challenge the assumptions behind its strategy, and would those assumptions still hold true if you were making them today?
June 16 · 30 min
How MIT Solve Turns Innovation Into Global Impact
Can technology and AI genuinely improve lives at scale, or are we still spending too much time talking about potential rather than outcomes? In this episode of Tech Talks Daily, I sit down with Hala Hanna, Executive Director of MIT Solve, as the organization marks its tenth anniversary. Over the last decade, MIT Solve has supported more than 500 innovators, helped solutions reach hundreds of millions of people worldwide, and connected founders with the funding, partnerships, and mentorship needed to turn ideas into lasting impact. Hala shares why the world is not suffering from a shortage of innovation. Instead, she argues that the real challenge is connecting talented problem-solvers with the resources and relationships that help ideas grow beyond the pilot stage. Drawing on lessons from nearly 30,000 applications and 100 innovation challenges, she explains why proximity to a problem often leads to better solutions and why founders with lived experience frequently outperform expectations. We also discuss the growing conversation around AI for good and how MIT Solve separates meaningful impact from marketing hype. Hala outlines the practical tests her team uses when evaluating AI-powered solutions and shares inspiring examples from healthcare, education, agriculture, and public services. From improving cancer diagnostics in underserved communities to digitizing centuries of public records and helping farmers access data through simple mobile devices, these stories show how technology can create tangible value when designed with people at the center. Another fascinating part of our conversation focuses on women in technology. With 64% of MIT Solve's supported teams led by women, Hala explains why this outcome is less about special treatment and more about removing barriers that have traditionally limited access to opportunity. We explore how open innovation challenges, diverse judging panels, and recognizing lived experience as expertise can help surface talent that conventional funding models often miss. Hala also offers a refreshing perspective on the future of AI, arguing that the next chapter should focus on inclusion, local relevance, and community ownership rather than simply building larger models and more infrastructure. Her examples of AI being used to preserve endangered languages and strengthen local sovereignty offer a powerful reminder that technology can support culture and identity as well as economic growth. If you've ever wondered what happens when innovation, purpose, and practical action come together, this conversation provides plenty of reasons for optimism. What role do you think technology should play in creating a fairer and more inclusive future?
June 15 · 33 min
How Testlio Balances Automation and AI With Human Insight
What happens when software can be built and shipped faster than ever, but trust becomes the real challenge? In this episode of Tech Talks Daily, I sit down with Dean Hickman-Smith, Chief Revenue Officer at Testlio, to discuss why software quality has become a boardroom issue in the age of AI. As organizations race to release new features, deploy AI-powered experiences, and automate development workflows, the question is no longer whether software ships successfully. The question is whether customers can trust what they receive. Dean explains why human testers remain an essential part of the software development process, even as automation and AI continue to advance. We explore the limitations of synthetic testing environments, the growing importance of cultural context and demographic representation, and why real-world user experiences often expose problems that automated systems miss. From voice interfaces and regional dialects to accessibility and personalization, the conversation highlights the growing complexity of delivering reliable digital experiences. We also discuss the rising business risks associated with poor software quality. While cybersecurity often dominates headlines, Dean argues that failed updates, inaccurate AI responses, poor customer experiences, and software outages can be equally damaging to brand reputation and customer loyalty. He shares insights from Testlio's work with global organizations and explains why human insight continues to complement AI-driven testing rather than compete with it. The conversation also looks ahead to a future where AI-generated code becomes increasingly common. Will software testing become fully automated, or will specialist human expertise become even more valuable? Dean offers his perspective on how AI, automation, and human judgment can work together to create better digital experiences while helping organizations avoid costly mistakes. If your organization is building AI-powered products, managing customer-facing applications, or trying to balance speed with quality, this episode offers practical insights into why software testing remains one of the most important parts of the development process. What role do you think humans will play in software testing as AI continues to advance? Share your thoughts.
June 14 · 39 min
How Insta360 Is Helping Creators Capture More Than The Moment
What happens when a camera company starts thinking less about lenses and specifications and more about how people actually capture and share their lives? In this episode of Tech Talks Daily, I spoke with Max Richter from Insta360 about the company's journey from pioneering 360-degree cameras to building a much broader ecosystem of hardware, software, AI tools, and creator-focused workflows. While many people still associate Insta360 with immersive 360 content, the company has steadily expanded into action cameras, wearable cameras, webcams, creator tools, and enterprise applications that reach far beyond social media. Our conversation explored how Insta360's philosophy of "shoot first, frame later" challenged traditional assumptions about photography and video creation. Rather than worrying about angles, framing, or missing a moment, users can focus on the experience itself and decide later how they want to tell the story. That approach has helped shape products that are now used everywhere from family vacations and sports adventures to construction sites, virtual tours, education, and live broadcasting. We also discussed the growing role of artificial intelligence in the creative process. Instead of replacing creativity, Insta360 is using AI to remove many of the technical hurdles that often prevent people from sharing the content they capture. From automated editing and intelligent reframing to enhanced low-light performance and future cloud-based experiences, AI is becoming an important part of making professional-quality content creation accessible to a much wider audience. A major focus of our discussion was Luna, Insta360's new pocket gimbal camera developed in partnership with Leica. Max explained why this launch represents an important step for the company as it expands further into the creator market. Combining premium imaging capabilities, advanced stabilization, AI-powered features, and a highly portable design, Luna reflects Insta360's belief that creators increasingly care about the entire workflow, from capture through editing and publishing, rather than camera specifications alone. We also explored an increasingly common question: if modern smartphones are so capable, why would anyone need a dedicated camera? Max shared his perspective on why purpose-built devices still matter for travelers, vloggers, filmmakers, and everyday users who want a more immersive and intentional way to capture life's moments. From AI-powered storytelling and creator workflows to the future of wearable cameras and intelligent imaging, this conversation offers an interesting look at how one company is trying to shape the next chapter of visual content creation. How do you think AI will change the way we capture, edit, and share our stories over the next few years?
June 13 · 22 min
How Paradigm4 Is Helping Organizations Remove Hidden AI Bottlenecks
What happens when a company focused on drug discovery and life sciences encounters a data problem that nobody else seems able to solve? Recorded at the IT Press Tour in Boston, this episode explores the fascinating story behind Paradigm4 and how a challenge in large-scale biomedical research ultimately led to the creation of flexFS, a cloud-native filesystem designed to tackle some of today's biggest data infrastructure challenges. Joining me on the podcast is David Freund from Paradigm4, who shares how the company was originally founded to help scientists work with enormous datasets in fields such as genomics, bioinformatics, and precision medicine. As researchers began working with population-scale datasets such as the UK Biobank, the team discovered that existing storage technologies either couldn't deliver the performance they needed, lacked the functionality required, or became prohibitively expensive at scale. Our conversation explores the moment Paradigm4 realized it would need to build its own solution, why traditional approaches to cloud storage often struggle under modern analytics workloads, and how flexFS emerged from a real-world customer problem rather than a technology trend. David also explains why object storage has become such an attractive foundation for modern infrastructure, while discussing the challenges of latency, performance, and cost that still need to be addressed. We also discuss why many organizations investing heavily in AI infrastructure may be overlooking one of the biggest constraints on performance. While much of the industry conversation focuses on GPUs and compute power, David argues that data access, movement, and management are becoming equally important considerations as AI workloads continue to grow. Along the way, we touch on cloud independence, resilience, large-scale analytics, and why flexibility across cloud providers is becoming an increasingly important requirement for enterprise technology leaders. Whether you're working in AI, life sciences, cloud infrastructure, or enterprise data management, this episode offers an interesting perspective on how customer problems can sometimes lead to entirely new categories of technology. Could the next major AI bottleneck be data rather than compute? And are organizations paying enough attention to the infrastructure feeding their most important workloads? I'd love to hear your thoughts.
June 12 · 18 min
What Happens Behind The Scenes When Millions Stream A World Cup Match?
How do you keep millions of people streaming a World Cup match without buffering, outages, or delays? And what happens behind the scenes when a retailer suddenly experiences a surge of traffic during Black Friday or Cyber Monday? Recording this episode at the IT Press Tour in Boston, with the FIFA World Cup dominating conversations across the city, I sat down with Rob Clifford, Vice President of Sales for the Americas at IO River, to discuss one of the least visible but most important parts of our digital world. While most people simply expect websites, streaming platforms, and applications to work, an enormous amount of infrastructure sits behind every click, stream, and transaction. Rob explains why organizations are increasingly moving beyond reliance on a single content delivery network and embracing a multi-edge approach. We discuss the challenges of managing multiple providers, how IO River is helping enterprises simplify that complexity, and why the company believes a new control layer is needed to improve performance, resilience, and cost management across the edge. The conversation also explores IO River's recent $20 million funding round, the rise of edge decoupling, and how the company is working with major broadcasters preparing for the huge traffic demands of the World Cup. Rob also shares how retailers can avoid costly downtime during peak shopping events and why AI is creating a new generation of challenges and opportunities for edge infrastructure. If you've ever wondered what happens behind the scenes when millions of people watch the same sporting event, shop online during a major promotion, or access cloud services around the world, this episode offers an accessible look at the technology making it all possible. What role do you think edge infrastructure will play as AI, streaming, and digital experiences continue to scale? I'd love to hear your thoughts.
June 11 · 30 min
Cincinnati Open Tennis, Technology, and the Future of Fan Experience
How do you double the size of a major sporting venue, rebuild its technology foundation, and still deliver a seamless experience for hundreds of thousands of fans? Recording from Cisco Live, I spoke with Robert Nichols, Principal Technical Architect for the Cincinnati Open, about the enormous undertaking behind one of the most respected tournaments in professional tennis. As an ATP Masters 1000 and WTA 1000 event, the Cincinnati Open recently completed a $260 million expansion that increased the campus from 20 to 40 acres, all while working against a deadline that could not be moved. Our conversation explores what happens behind the scenes when nearly 300,000 visitors arrive expecting every aspect of the event to work flawlessly. From ticket scanning and connectivity to food service, hospitality, broadcasting, security, and crowd management, every part of the operation depends on infrastructure that most fans never think about. Robert explains how the team approached modernization without losing the qualities that have made the tournament special for generations. Accessibility, proximity to the players, and a welcoming atmosphere remain central to the Cincinnati Open experience, even as the venue continues to grow. We also discuss occupancy analytics, connected cameras, wireless networking across 40 acres, and how data helps organizers make better operational decisions throughout the tournament. Along the way, Robert shares insights into the scale of planning required to support one of the largest events in professional tennis. Looking ahead, we examine how AI and automation could influence the future of live events, helping organizers improve operations while keeping the focus firmly on the fan experience. Whether you're interested in sports, technology, operations, or large-scale event management, this episode offers a rare look at what it takes to deliver an event watched by millions worldwide. What part of a live sporting event do you think requires the most coordination behind the scenes?
June 10 · 25 min
Getac and the Future of Rugged Technology and the Deskless Workforce
What happens when the technology keeping essential services running fails at the worst possible moment? When most people think about workplace technology, they picture laptops, smartphones, and office software. But for millions of workers maintaining power networks, repairing infrastructure, supporting emergency services, managing transport systems, and operating in remote environments, technology has a very different job to do. It has to work every single time, often in conditions where failure is simply not an option. In this episode of Tech Talks Daily, I speak with Alex Gittins from Getac about the changing world of field operations, rugged computing, and the growing role of Edge AI in supporting the deskless workforce. Alex explains why rugged technology is far more than placing a consumer device inside a protective case. From extreme temperatures and harsh weather to vibration, dust, poor connectivity, and demanding working environments, true rugged devices are engineered from the ground up to support people working where most technology struggles. We also discuss the often-overlooked reality that around 80% of the global workforce operates away from a desk. These workers are increasingly dependent on digital tools to receive work orders, access mapping systems, capture field data, complete inspections, and communicate with central teams in real time. The conversation also turns to Edge AI and its growing importance for frontline teams. Rather than relying on constant connectivity and cloud processing, Edge AI enables workers to access intelligence directly on their devices. Whether identifying damaged assets through image recognition, guiding inspections, reducing paperwork, or supporting faster decision-making, AI is becoming a practical tool for improving efficiency and safety in the field. Alex also shares how customer expectations are changing. Organisations are no longer buying devices in isolation. Instead, they are involving technology providers much earlier in the process to help design complete solutions that can support future operational requirements. From defence roots to modern field operations, this episode offers a fascinating look at the technology helping keep critical services running behind the scenes. How will AI, connectivity, and rugged computing continue to reshape the future of work for the billions of people who never sit behind a desk?
June 10 · 26 min
Inside Cisco's Plan to Close the Defense Velocity Gap
How prepared is your organization for threats that move faster than people can respond? At Cisco Live, I sat down with Bhaskar Jayakrishnan, Senior Vice President of Engineering for Cisco Customer Experience, to discuss a reality facing technology leaders everywhere: attackers are increasingly operating at machine speed while many organizations are still relying on processes designed for a very different era. Our conversation explores what Cisco describes as the defense velocity gap and why traditional approaches to patching, remediation, and risk management are becoming harder to sustain as environments grow more complex. Bhaskar explains how organizations are shifting from reactive security practices toward more continuous approaches that focus on visibility, resilience, and operational readiness. We also discuss one of the biggest long-term challenges facing the industry: quantum computing. While many organizations still view quantum threats as a future problem, Bhaskar explains why preparations need to begin now, particularly when it comes to crypto agility and the risks associated with "harvest now, decrypt later" attacks. Another major theme throughout our discussion is AI. Bhaskar shares lessons learned from Cisco's own experience deploying AI across a workforce of more than 20,000 employees and explains why successful adoption often depends less on the technology itself and more on data quality, workflow design, and organizational trust. Along the way, we explore resilience, modernization, automation, and what it takes to prepare an organization for a future where both opportunities and threats are arriving faster than ever before. If you're trying to understand how cybersecurity, AI, and quantum computing are reshaping the responsibilities of today's technology leaders, this conversation offers practical insights from someone helping organizations tackle those challenges every day. Are today's security and operational models ready for a world moving at machine speed, or is it time for a completely different approach?
June 9 · 31 min
Why SAP is Betting Big on Voice AI, Robotics and Quantum Computing
What will the enterprise of the future actually look like, and which technologies deserve attention beyond the hype cycle? In today's episode, I sit down with Yaad Oren, Global Head of SAP Research & Innovation and Managing Director of SAP Labs US, for a fascinating conversation about the technologies that could shape business over the next decade. Leading SAP's global research and innovation efforts, Yaad works at the intersection of academia, startups, venture capital, and enterprise technology, identifying emerging technologies before they reach the mainstream. His team explores everything from next-generation AI and voice interfaces to quantum computing, robotics, future data platforms, and new cloud architectures. We discuss why voice AI could become the primary interface for enterprise software, allowing employees to interact with business systems as naturally as they would with a colleague. Yaad also explains how quantum computing is already showing promise in complex supply chain optimization challenges and why robotics is moving beyond manufacturing floors into logistics, inspection, hospitality, and customer-facing environments. The conversation also explores one of the less talked about drivers of innovation: the role universities play in shaping the technologies businesses will eventually depend on. Yaad shares how SAP works closely with academic institutions around the world to identify breakthroughs while they are still emerging from research labs, long before they become commercial products. We also discuss SAP's vision for the autonomous enterprise, where AI assistants orchestrate teams of specialized agents across finance, supply chain, sales, and operations. Rather than replacing decision-makers, these systems are designed to automate routine work and allow people to focus on higher-value activities. Perhaps most importantly, Yaad offers practical advice for business leaders trying to prepare for the next wave of innovation without chasing every trend. His message is clear: build a strong data foundation, stay informed about emerging technologies, and create a culture that is willing to experiment. If you've ever wondered what technologies might shape enterprise software five to ten years from now, this episode offers a rare glimpse into the research, partnerships, and ideas that are already influencing that future. What emerging technology do you believe will have the biggest impact on your industry over the next decade? Share your thoughts and join the conversation.
June 8 · 22 min
Cribl on Why 96% Want Agentic AI But Only 23% Are Ready For it
What happens when your AI ambitions collide with the reality of your infrastructure? Across boardrooms everywhere, agentic AI has quickly moved from experimental projects to strategic priority. The excitement is easy to understand. Business leaders see opportunities to automate workflows, improve decision-making, and increase productivity. Yet behind the headlines and product announcements sits a less visible challenge that many organizations are only beginning to understand. In this episode of Tech Talks Daily, I speak with Abby Strong, Chief Market Officer and Chief Customer Officer at Cribl, about the growing gap between AI ambition and operational readiness. Drawing on new research conducted with Harvard Business Review Analytic Services, Abby shares why so many organizations are struggling to move AI initiatives from pilot projects into production environments. The findings paint a fascinating picture. While almost every business leader surveyed views agentic AI as strategically important, only a small percentage believe they currently have both the strategy and infrastructure required to support it. At the heart of the challenge is data. As AI agents interact with systems, applications, and services, telemetry volumes are increasing at rates that many organizations never anticipated. In some cases, data volumes have doubled or tripled, creating unexpected infrastructure costs and operational complexity. Abby explains why telemetry, observability, and data management have become central to AI success. We discuss why AI systems are only as effective as the quality, accessibility, and context of the data available to them. She also shares real-world examples of how organizations are wrestling with growing infrastructure demands, rising costs, governance requirements, and the challenge of proving meaningful return on investment. Our conversation also examines the growing importance of visibility into AI activity. As enterprises deploy large language models and AI agents across their environments, security and observability teams are facing entirely new questions around monitoring, governance, compliance, and cost control. How do you establish a baseline when the technology itself is evolving so quickly? How do you maintain trust when AI systems generate vast numbers of automated queries and interactions? Abby offers a balanced perspective on what comes next. Rather than replacing existing systems overnight, many organizations are adding AI capabilities onto current workflows while gradually rethinking how work gets done. The result is a period of transition where businesses must support today's operations while preparing for a future that looks very different. If you're trying to understand why infrastructure readiness may become one of the biggest factors in AI success, this conversation provides valuable context. Are organizations focusing too much on AI models and not enough on the data foundations that support them? And what happens when the cost of AI adoption extends far beyond the AI tools themselves?
June 7 · 28 min
How Businesses Can Stay Ahead of AI-Powered Attacks
Can businesses still rely on cybersecurity strategies that were designed for a very different threat environment? In this episode of Tech Talks Daily, I speak with Matt Knell from ESET about why many managed service providers and businesses are being forced to rethink what effective cybersecurity looks like in 2026. As cybercriminals become faster, more sophisticated, and increasingly powered by AI, many of the approaches that once provided reassurance are struggling to keep pace. Matt shares why the idea of "good enough" security is becoming increasingly difficult to defend. While endpoint protection remains an important part of any security strategy, he explains why technology alone is no longer enough. Organizations must continually review, update, and strengthen their defenses rather than assuming that yesterday's protections will be sufficient tomorrow. Our conversation explores the lasting impact of ransomware and the lessons businesses continue to learn from high-profile incidents. From major retailers to global manufacturers, attacks are creating operational disruption, financial losses, and reputational damage on a scale that few organizations would have imagined a decade ago. We also discuss one of the industry's most persistent challenges: the cybersecurity skills gap. Finding experienced security professionals remains difficult, while retaining talent has become equally challenging. Matt explains how managed detection and response services are helping MSPs extend their capabilities without having to build and maintain large security operations teams. AI naturally plays a major role in the discussion. While cybersecurity vendors use AI to improve threat detection and response, attackers are also leveraging the technology to accelerate and sophisticate phishing campaigns, social engineering, and other forms of cybercrime. Matt explains why businesses must remain realistic about both opportunities and risks. Another theme throughout the episode is the growing expectation that cybersecurity should be treated as a business issue rather than purely an IT concern. Regulations, cyber insurance requirements, supply chain scrutiny, and customer expectations are all increasing pressure on organizations to demonstrate stronger security practices and greater resilience. We also discuss ESET PRIVATE and why more organizations are seeking security services tailored to their specific operational needs. Rather than relying on a standard package, many businesses are looking for solutions that align with their industry requirements, compliance obligations, risk profile, and long-term objectives. Finally, Matt reflects on the conversations emerging from ESET's recent partner conference and shares his perspective on the topics shaping cybersecurity priorities for the coming year. AI, resilience, compliance, and business education continue to dominate discussions as organizations look for practical ways to strengthen their defenses. If you're an MSP, IT leader, business owner, or anyone responsible for protecting digital operations, this episode offers a timely look at the challenges facing organizations today and the steps many are taking to prepare for what comes next. Is your organization still relying on security strategies designed for yesterday's threats, or have you adapted to today's cyber risks?
June 7 · 31 min
Why Traditional Cybersecurity Defenses Are Falling Behind
Have we become so used to data breaches that we no longer stop to think about what they actually mean for the people affected? In this episode of Tech Talks Daily, I speak with Simon Pamplin, CTO at Certes, about why cybercrime remains one of the biggest threats facing businesses and consumers alike. While headlines about ransomware attacks and data breaches appear almost every day, Simon argues that too many organizations are still treating cybersecurity as a technology problem rather than a business risk with real human consequences. Our conversation begins with a simple but powerful question. Why are so many companies still focused on protecting networks when attackers are really after the data itself? Simon explains why traditional perimeter-based security approaches are struggling in a world where information moves between cloud environments, devices, applications, and partners far beyond the boundaries organizations once controlled. We also discuss the personal cost of cybercrime. Behind every breach announcement are real people whose financial records, personal details, healthcare information, and digital identities may have been exposed. Simon shares why the impact often extends far beyond resetting a password, creating financial, emotional, and reputational consequences that can last for years. Another major theme is the growing concern about quantum computing and the rise of harvest-and-decrypt attacks. While fully realized quantum computing may still be in the future, cybercriminals are already collecting encrypted data with the expectation that future technology will eventually unlock it. Simon explains why businesses need to think about protecting sensitive information today rather than waiting for tomorrow's threats to become reality. The conversation also examines the growing pressure from regulations such as GDPR, DORA, and NIS2. With larger penalties and increased regulatory scrutiny, organizations are facing greater accountability for how they handle and protect customer information. Simon argues that trust has become one of the most valuable assets a business can possess and one of the easiest to lose. Of course, no cybersecurity discussion would be complete without addressing AI. We explore how AI is making attacks faster, cheaper, and more accessible while also creating opportunities for defenders. Simon shares his thoughts on why businesses must rethink long-held assumptions and prepare for a future in which cybercriminals can automate many techniques that once required significant expertise. Throughout our discussion, Simon returns to a consistent message. Attackers target data because it has value. Organizations that focus their efforts on protecting that data, wherever it travels, will be in a far stronger position than those relying solely on traditional defenses. If you are responsible for cybersecurity, risk management, compliance, or digital transformation, this episode offers a timely discussion of what businesses should prioritize as threats continue to evolve. Customer trust becomes harder to earn and easier to lose. When the next breach makes headlines, will it simply be another news story, or will it be a reminder that every piece of stolen data belongs to a real person whose life could be affected?
June 6 · 30 min
Cisco Live: Why the Future Of Work Is About Outcomes, Not Occupancy
What is the office actually for? It's a question that many organizations are still wrestling with as they balance flexibility, collaboration, employee expectations, and business performance. At Cisco Live, I sat down with Christian Bigsby, Senior Vice President of Workplaces at Cisco, to discuss how the role of the workplace is changing and why measuring success by attendance alone may no longer make sense. Christian shares how Cisco has rethought the relationship between people, place, and technology, bringing together teams that traditionally operated separately to create a more connected workplace experience. Rather than focusing on how many employees are in the office, the conversation centers on the outcomes that become possible when people come together with purpose. We explore how hybrid work has reshaped workplace strategy, why employee experience has become a business priority, and how organizations can create environments that support collaboration, innovation, learning, and culture. Christian also explains why flexibility should not be viewed as a perk but as an important part of helping employees do their best work. The conversation also looks at the growing role of AI in workplace operations. From forecasting occupancy and improving space utilization to helping organizations make smarter decisions about resources and services, AI is helping workplace leaders respond to a level of variability that traditional operating models were never designed to handle. Along the way, Christian offers thoughtful insights on leadership, trust, organizational culture, and why the future workplace may have more in common with a dynamic service than a fixed location. If you've ever wondered whether the future of work is about where people work, how they work, or why they come together in the first place, this conversation offers plenty to think about. What do you believe makes a workplace valuable in 2026, attendance, experience, outcomes, or something else entirely?
June 5 · 24 min
Cisco Live: Aruna Ravichandran on Trust, AI Agents, and the Next Era of Networking
What happens when the newest users on your network aren't people at all? At Cisco Live, I sat down with Aruna Ravichandran, SVP and CMO for AI, Networking, and Collaboration at Cisco, to discuss a shift that could change how organizations think about networks, operations, and AI over the coming years. For decades, enterprise networks have been built around human behavior. People work predictable hours, take holidays, and generally follow familiar patterns. AI agents are different. They work continuously, analyze information around the clock, and increasingly act as digital teammates that can help organizations monitor, troubleshoot, and improve operations at a scale that would be impossible for humans alone. During our conversation, Aruna explained why AI is no longer just an application discussion. As organizations deploy more digital teammates, networks must support a new type of user that never sleeps, never stops learning, and can help identify issues before employees even arrive at work. We explore Cisco's vision for AgenticOps, the role of Cisco Cloud Control as a unified command center, and how AI-driven operations are helping reduce complexity for teams already overwhelmed by alerts, dashboards, and operational overhead. Aruna also shared her perspective on one of the biggest challenges facing the industry today: trust. While the technology is advancing rapidly, organizations need confidence that their digital teammates can make reliable recommendations and support critical operations without removing human oversight. That balance between automation and accountability sits at the heart of Cisco's approach. We also discuss why domain expertise still matters in the age of AI, how Cisco is drawing on decades of networking experience to build purpose-built models, and why the next few years may see every IT professional supported by an expanding team of digital coworkers. If you've been wondering how AI will move beyond chat interfaces and become part of everyday operations, this conversation offers an interesting look at where networking, automation, and AI are heading next. How many digital teammates do you think you'll be working alongside in the next few years, and what tasks would you trust them to handle first? Useful LInks Anurag Dhingra's blog DJ Sampath's blog Aruna's LinkedIn post re. The AgenticOps stats she mentioned Press Release
June 4 · 29 min
Oyster CEO on Remote Work, AI, Global Teams and the Future of Work
Have you ever wondered whether the skills that build a company are the same skills needed to scale it? In today's episode of Tech Talks Daily, I sit down with Hadi Moussa, the newly appointed CEO of Oyster, the global employment platform helping businesses hire, pay, and support talent in more than 180 countries. The conversation comes at a fascinating moment for the company, following founder Tony Jamous' decision to step into the Executive Chairman role and hand over the CEO position from a place of strength rather than necessity. What makes this leadership transition particularly interesting is that it challenges many assumptions about founder succession. Rather than waiting for investor pressure, market turbulence, or burnout, Tony recognized that the next chapter of Oyster's growth required a different operational skill set. Hadi shares what he learned from a succession process that centered on mission alignment, alongside leadership assessments, case studies, and extensive feedback. We also explore Hadi's own journey from Lebanon to leadership positions at Facebook, Airbnb, Deliveroo, Coursera, and now Oyster. His personal experience of leaving home to pursue opportunity has given him a deep connection to Oyster's mission of making global employment accessible regardless of geography. The discussion moves beyond leadership transitions and into the future of work itself. As artificial intelligence reshapes hiring, productivity, and workforce structures, Hadi explains why he believes there is a real risk that AI could concentrate opportunity within a handful of established technology hubs. He shares Oyster's vision of using technology to more broadly distribute opportunity, enabling companies to access talent wherever it exists while maintaining trust, compliance, and human support. We also discuss what businesses continue to underestimate about managing distributed teams at scale. From culture and communication to trust and compliance, Hadi argues that remote work success requires far more than technology alone. Companies must be intentional about how they build relationships, create alignment, and support employees across borders and time zones. For founders and business leaders, this episode offers thoughtful lessons on self-awareness, leadership evolution, and knowing when a company's needs may outgrow the strengths that originally built it. It is a conversation about growth, opportunity, and the difficult decisions required to put mission ahead of personal attachment. How should leaders know when it is time to pass the baton, and can AI help create a more globally distributed future of work rather than concentrating opportunity in a few select places? Share your thoughts and join the conversation.