Tech Talks Daily

Episodios

• Cisco's AI Strategy and the Future of Enterprise Growth 16.06.2026 27m

  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?
• How MIT Solve Turns Innovation Into Global Impact 16.06.2026 30m

  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?
• How Testlio Balances Automation and AI With Human Insight 15.06.2026 33m

  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.
• How Insta360 Is Helping Creators Capture More Than The Moment 14.06.2026 39m

  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?
• How Paradigm4 Is Helping Organizations Remove Hidden AI Bottlenecks 13.06.2026 22m

  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.
• What Happens Behind The Scenes When Millions Stream A World Cup Match? 12.06.2026 18m

  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.
• Cincinnati Open Tennis, Technology, and the Future of Fan Experience 11.06.2026 30m

  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?
• Inside Cisco's Plan to Close the Defense Velocity Gap 10.06.2026 26m

  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?
• Getac and the Future of Rugged Technology and the Deskless Workforce 10.06.2026 25m

  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?
• Why SAP is Betting Big on Voice AI, Robotics and Quantum Computing 09.06.2026 31m

  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.
• Cribl on Why 96% Want Agentic AI But Only 23% Are Ready For it 08.06.2026 22m

  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?
• How Businesses Can Stay Ahead of AI-Powered Attacks 07.06.2026 28m

  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?
• Why Traditional Cybersecurity Defenses Are Falling Behind 07.06.2026 31m

  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?
• Cisco Live: Why the Future Of Work Is About Outcomes, Not Occupancy 06.06.2026 30m

  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?
• Cisco Live: Aruna Ravichandran on Trust, AI Agents, and the Next Era of Networking 05.06.2026 24m

  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 
• Oyster CEO on Remote Work, AI, Global Teams and the Future of Work 04.06.2026 29m

  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.
• Zscaler's Ripple Effect Report Reveals The Cyber Resilience Gap 03.06.2026 23m

  Are organizations investing enough in cybersecurity, or are they simply spending more money while falling further behind? In this episode of Tech Talks Daily, I speak with Martyn Ditchburn, CTO in Residence for EMEA at Zscaler, about the findings from the company's latest Ripple Effect Report and what it reveals about the growing gap between cybersecurity investment and true organizational resilience. Drawing on insights from more than 1,700 IT leaders across 14 countries, Martyn explains why many organizations are still struggling to adapt to a threat landscape that is evolving faster than their security strategies. While cyber resilience budgets continue to rise, many leaders admit their approach remains too inward-looking, leaving critical vulnerabilities across supply chains, cloud environments, third-party ecosystems, and emerging AI deployments. We explore why shadow AI is rapidly becoming the new shadow IT challenge, with employees adopting AI-powered tools faster than governance frameworks can keep pace. Martyn discusses how AI is quietly being embedded into countless business applications, creating visibility and security challenges that many organizations have yet to recognize fully. The conversation also examines the growing importance of supply chain resilience. As businesses become increasingly dependent on external providers, cloud platforms, and interconnected digital services, traditional security perimeters continue to disappear. Martyn shares why third-party risk remains one of the biggest blind spots in modern cybersecurity programs and how organizations can better understand their expanding attack surface. Agentic AI is another major focus of our discussion. As AI systems move beyond assisting users and begin taking autonomous actions, security teams face entirely new challenges around identity, governance, accountability, and risk management. Martyn explains why many organizations are racing ahead with adoption while still lacking the guardrails needed to manage these emerging technologies safely. We also discuss lessons from previous technology shifts, including cloud computing and shadow IT, and why history keeps repeating itself when innovation outpaces security planning. Martyn offers practical advice on limiting risk, reducing blast radius through segmentation, and treating AI agents as digital identities that require the same controls and oversight as human users. As organizations pursue AI-driven growth and competitive advantage, are they building resilience into their foundations or creating new risks they cannot yet see? And in a world where AI is becoming embedded in everything, how can security leaders stay ahead of threats that are evolving faster than ever before?
• Outshift By Cisco On Connecting The Next Generation Of AI Agents 02.06.2026 28m

  At Cisco Live, I sat down with Papi Menon, Vice President of Product Management at Outshift by Cisco, to explore one of the most ambitious ideas emerging in the AI world today. While much of the industry remains focused on larger models and individual AI agents, Outshift is asking a different question. What happens when millions of AI agents need to collaborate across organizations, platforms, and industries? Papi joined me to explain the thinking behind Outshift, Cisco's emerging technology and incubation group, and the work they're doing to help shape the next era of AI. Our conversation explored concepts such as the Internet of Agents, the Internet of Cognition, and AGNTCY, an open-source initiative designed to create the foundations for agent-to-agent collaboration at scale. We discuss why connecting AI agents is only the first step, why shared intent and shared context could become as important as connectivity itself, and how organizations may need entirely new infrastructure to support an increasingly agent-driven future. Papi also shares his perspective on the challenges of interoperability, governance, trust, and security as AI systems become more autonomous and interconnected. The discussion moves beyond today's AI headlines and into the bigger questions facing the technology industry. If the internet connected people and systems, what infrastructure will be needed to connect intelligence itself? And what role can open standards play in ensuring that future remains collaborative rather than fragmented? Whether you're a technology leader, developer, strategist, or simply curious about where AI is heading next, this conversation offers a fascinating glimpse into how Cisco is thinking about the future of agentic computing and the foundations that may underpin the next major platform shift in technology. How do you think AI agents will collaborate in the future, and should that future be built on open standards or closed ecosystems?
• Zoho On Balancing AI Innovation With Trust, Control, And Digital Sovereignty 02.06.2026 38m

  Can businesses embrace AI without surrendering control over their data, technology choices, and future direction? In this episode of Tech Talks Daily, I sit down with Sachin Agrawal, Managing Director of Zoho UK, to discuss one of the biggest challenges facing organizations today. As AI adoption accelerates, many leaders are finding themselves caught between the pressure to innovate and the responsibility to maintain trust, transparency, and control. Sachin shares his perspective on what separates successful AI adoption from costly experimentation. Drawing on his experience leading Zoho's growth in the UK, he explains why organizations achieving the best results are focusing on clearly defined business outcomes rather than chasing headlines or reacting to fear of missing out. We discuss how AI is already improving customer service, sales operations, application development, and decision-making, while also highlighting the importance of digital maturity as a foundation for meaningful AI success. A major theme throughout our conversation is the growing concern around black-box AI systems. Sachin explains why transparency, explainability, and contextual intelligence are becoming increasingly important for businesses operating in regulated environments. We explore how organizations can build trust by keeping AI close to the systems where their data already resides, thereby creating more auditable, accountable outcomes. The discussion also turns to digital sovereignty, a topic that has rapidly moved from technical teams into boardroom conversations. Sachin outlines the different dimensions of sovereignty, including data residency, infrastructure, model choice, intelligence ownership, and vendor flexibility. As geopolitical tensions, regulatory expectations, and concerns about technology concentration grow, organizations are taking a closer look at how dependent they want to become on a small number of technology providers. We also examine whether AI will strengthen the dominance of major technology firms or create new opportunities for diverse software providers. Sachin argues that while the largest players may own much of the underlying infrastructure, customers are increasingly focused on practical outcomes, transparency, and flexibility rather than simply choosing the biggest platform. Along the way, we discuss cloud fragmentation, governance, responsible AI adoption, data privacy, and the importance of challenging AI rather than unquestioningly trusting its outputs. Sachin offers practical advice for leaders who want to balance innovation with accountability while maintaining independence in an increasingly interconnected technology environment. As AI continues to reshape business software and digital operations, how can organizations remain agile without sacrificing control? And what role will digital sovereignty play in determining who succeeds in the next era of enterprise technology?
• Risk Ledger Explains The Hidden Risks Inside Modern AI Supply Chains 01.06.2026 20m

  What happens when the weakest link in your technology supply chain becomes the entry point for a national security incident? In this episode of Tech Talks Daily, I welcome back Haydn Brooks, CEO and founder of Risk Ledger, to discuss why supply chain security has moved from an IT concern to a boardroom and government priority. As organizations race to adopt AI, connect more systems, and depend on increasingly complex ecosystems of vendors, partners, cloud providers, and third-party services, the attack surface continues to expand in ways many businesses still struggle to understand. Haydn explains why supply chains remain one of the largest blind spots in cybersecurity, despite years of warnings and a growing list of high-profile incidents. We explore how attackers increasingly target smaller suppliers that lack the resources and expertise of larger enterprises, using them as stepping stones to reach critical infrastructure, government agencies, and major corporations. The conversation also examines how AI is reshaping the risk equation. As organizations rapidly integrate AI tools, APIs, and third-party models into existing technology stacks, many are creating new forms of concentration risk. What happens when multiple services rely on the same AI provider? And how can businesses maintain visibility over technology dependencies that are constantly evolving? Haydn shares his perspective on why collaboration and information sharing have become far more common across the cybersecurity community, and why security leaders are beginning to recognize that defending against modern threats requires collective action rather than isolated efforts. We also discuss accountability, resilience, and why organizations must move beyond simply identifying risk and develop the ability to understand the impact of incidents when they occur. Along the way, Haydn offers practical advice for security leaders, explains why now is the time to reassess supply chain security strategies, and shares insights into Risk Ledger's international expansion as the company grows its presence in the United States. As AI accelerates innovation and organizations become increasingly interconnected, are businesses truly prepared for the risks that come with that progress? And could an overlooked supplier become the starting point for the next major cybersecurity crisis?