Tech Talks Daily

As AI continues to dominate the conversation at Cisco Live, the infrastructure needed to support this transformation often gets overshadowed. That's why I was eager to visit the Panduit booth and explore the physical backbone enabling the shift from cloud to on-prem. I sat down with several Panduit experts including Renee Lang, Mason Khan, Vince, and Mike to understand how their high-density power, fiber, and sustainability solutions are equipping organizations for the AI-powered future. This episode goes beyond surface-level hype to focus on real-world preparation. Renee opened our discussion by highlighting the shift in customer questions this year. AI may be driving the vision, but enterprises are still asking how to take that first step. From gradual upgrades to strategic power planning, the conversation is about progress, not perfection. We looked at how Panduit is helping customers implement solutions today that will still support their goals tomorrow. Mason shared how Panduit's high-density power units are evolving to meet the surging demands of AI servers, with advanced features like cybersecurity compliance and automatic orientation. Vince then walked me through the game-changing concept of fault-managed power. With the ability to deliver significant power safely over long distances using standard pathways, this technology could reshape how we power devices in smart campuses, data centers, and industrial spaces. Finally, Mike brought it all together by showing how fiber infrastructure ties these innovations into a cohesive strategy. His insights into structured cabling and reflective polishing offered practical takeaways for engineers trying to stay ahead of the AI curve. This episode captures the customer conversations, unexpected use cases, and future-facing solutions that make events like Cisco Live so valuable. What steps are you taking now to prepare your infrastructure for the next wave of transformation?

Walking the show floor at Cisco Live, it's impossible to ignore the rising volume of conversations around network resilience. But what does resilience actually look like in today's distributed, AI-driven enterprise environment? To explore this, I sat down with Patrick Quirk, President and GM of Opengear, right at their booth near the center of the event. In our conversation, Patrick explained how Opengear has become a platform focused on proactive infrastructure management. As AI workloads expand into both data centers and edge environments, network reliability is now a critical part of business operations. Patrick shared how their approach with the phrase "First Day. Worst Day. Every Day." helps ensure continuity even in the most challenging conditions. What stood out during this discussion was Opengear's impact in practical situations. From supporting major retailers during service disruptions to helping organizations recover quickly from incidents similar to the CrowdStrike event, they deliver more than basic monitoring. We also discussed Lighthouse, their fleet management platform, and how it enables zero-touch provisioning at scale. This concept clearly resonated with many attendees at the event. Patrick also talked about findings from a Cisco report that estimated global losses from network outages reached 160 billion dollars last year. He explained how attitudes are shifting at the leadership level. Network resilience is no longer treated as a secondary concern. Risk mitigation, compliance, and consistent service delivery are now at the core of business conversations. Whether you're managing thousands of switches or preparing your infrastructure for the growing demands of AI, this episode provides insights that apply directly to today's connected world. How are you preparing your network to stay up and running when it matters most?

Earlier this year, I spoke with Dennis Woodside, CEO of Freshworks, about why speed and ROI matter more than ever in AI adoption. Today, we continue that conversation—this time from the IT frontline. In this episode, I'm joined by Ashwin Ballal, CIO of Freshworks and a 30-year tech industry veteran with a track record of driving transformation across global enterprises. From his days leading intelligence and data strategy at KLA to his role as CIO at Medallia, Ashwin knows what it takes to modernize without overcomplicating. We explore: The real impact AI is having inside IT teams and where the hype still outweighs reality Why simplifying IT environments is becoming a strategic priority for CIOs How AI is being used to augment, not replace, human capability The pressure to deliver measurable outcomes with fewer resources—and what leaders are doing about it Ashwin also shares a candid view on upskilling, internal adoption, and how CIOs can keep innovation moving forward while managing complexity and cost. This conversation is released in time for Freshworks' 'Refresh' event and ties into broader industry trends around operational efficiency, human-centered AI, and IT's changing role in business strategy. If you're a CIO, tech leader, or just trying to cut through the noise around AI in the enterprise, this one's worth your time.

Customer service has undergone significant changes in just a few years. We've moved from clunky chatbots with limited menus to sophisticated AI agents that understand, respond, and solve problems in real-time. But we're now standing on the edge of something even bigger. In today's episode, I spoke with Matthias Goehler, EMEA CTO at Zendesk, about what the next wave of AI-powered customer experience looks like and how businesses can prepare for it. According to Matthias, up to 80 percent of customer interactions can now be automated with modern AI tools. This is not the frustrating automation many remember. We're talking about orchestrated systems where multiple AI agents work together. One agent might interpret a customer's request, another retrieves information, while others take care of backend integrations. The goal is not to deflect but to resolve quickly, clearly, and with the consistency that customers expect. This shift is also reshaping internal support. Zendesk's Employee Experience Suite brings the same AI capabilities used for customer service into HR and IT workflows. Employees now have access to fast, intelligent support that mirrors the consumer-grade service they're used to in their personal lives. Crucially, we explored what this means in a European context. With strict privacy regulations, Zendesk has developed tools that enable businesses to see precisely how AI decisions are made. Matthias explained how AI reasoning controls ensure transparency, maintain trust, and allow for complete visibility into what the AI is doing and why. We also looked ahead. What happens when AI agents not only support us but begin to represent us? What if a customer reaches out, not through a human, but through their virtual assistant? That future may not be far off. Is your organization ready for this shift in how service is delivered and experienced?

Most of the noise around AI focuses on developers, creatives, and knowledge workers. But what about everyone else? The nurses, store associates, logistics teams, and warehouse staff make up nearly 80 percent of the global workforce. In today's conversation, I sat down with Tom Bianculli, Chief Technology Officer at Zebra Technologies, to talk about AI that meets people where they work. Not in a document editor or code repository but on the shop floor, in hospital corridors, and inside fulfillment centers. Tom shared how Zebra's strategy, built on research, acquisitions, and strategic partnerships, is helping to bring practical, purpose-built AI to frontline industries. From generative assistants to machine vision systems, Zebra is developing tools that support real-world tasks without replacing the people doing them. Whether it's improving shelf visibility in retail, enabling rapid quality control in manufacturing, or automating picking assistance through wearable cameras, the focus is on helping workers complete their tasks more efficiently, accurately, and with greater satisfaction. One of the standout topics was Zebra Companion, the company's AI-powered assistant for frontline teams. With four dedicated agents covering knowledge, sales, merchandising, and device support, it is a tool designed for immediacy, speed, and seamless integration with the daily workflow. Tom explained how Zebra is utilizing feedback from pilot programs to enhance the experience and why a human-centered approach to automation is crucial for reducing attrition and boosting morale. We also examined how AI and machine vision are driving measurable improvements in logistics and manufacturing. Recent acquisitions have strengthened Zebra's capabilities in 3D vision and high-speed industrial scanning. Looking ahead, we discussed omniscient store concepts, collaborative robotics, and the increasing value of real-time operational data. While much of the AI conversation stays focused on the office, Zebra is showing what happens when intelligence meets physical work. This episode is a reminder that AI is not just about prompts and pixels. It is also about boxes, shelves, scanners, and real people doing real jobs. How is your business planning to bring AI to the teams that keep everything moving?

The last time Philipp Pointner joined me on the podcast, AI was just a whisper on the horizon. We discussed the foundational role of digital identity in establishing trust between individuals and platforms. But fast forward to 2025, and the conversation has shifted dramatically. We're no longer just discussing verification for compliance. We're reckoning with synthetic identities, deepfake armies, and the growing push for reusable digital credentials. In today's episode, Philipp returns to unpack how much has changed since 2022. As Chief of Digital Identity at Jumio, he's right at the intersection of where AI meets trust. Fraud has evolved from lone hackers into coordinated operations that run on an industrial scale. ID fraud is no longer a matter of bad actors copying documents. Its entire networks generate tens of thousands of AI-manipulated identities with the click of a button. So, how are businesses adapting? Philipp breaks down the layered approach required for modern identity verification, touching on risk signals across various channels, including documents, devices, faces, emails, and more. He also points to an encouraging trend: cross-industry collaboration. Companies, regulators, and tech vendors are no longer working in silos. They are coordinating efforts to counter this new breed of threats. But this isn't just about fraud. We explore how identity solutions are now a key part of improving onboarding, boosting customer satisfaction, and even reducing operational costs. With significant regulatory shifts underway in Europe, the UK, and the US, from mobile driver's licenses to national digital identity schemes, businesses can't afford to fall behind. Philipp also tackles the AI paradox. The same technology that enables deepfakes is now critical for combating them. Jumio is using AI to detect fakes, verify liveness, and stay one step ahead of fraudsters. Biometrics, meanwhile, are becoming mainstream, not just in airports but as part of everyday onboarding and authentication. If you're thinking about what identity means for your business in 2025 and beyond, this episode offers a practical, timely look at what's here now and what's coming next. Whether you care about compliance, conversion rates, or protecting your users, it all starts with knowing who you're dealing with. And increasingly, that requires more than just asking for a photo ID. What role will your organization play in the future of digital trust?

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

What happens when machine identities outnumber human ones by a hundred to one? That's not a future scenario. It's already happening. In this episode, I'm joined by David Higgins, Senior Director at CyberArk, for a deep conversation about identity security in an environment increasingly shaped by AI agents, autonomous systems, and blurred digital boundaries. David brings clarity to the growing risks tied to machine credentials and explains why so many organisations are still struggling with password reuse, unsecured personal devices, and outdated security awareness efforts. We explore the rise of deepfake scams, AI-powered impersonation, and the worrying trend of attackers bypassing savvy users by targeting helpdesks and support channels instead. What stood out is how David reframes the conversation around human behaviour and responsibility. Rather than blaming users as the weakest link, he argues that identity security needs to be rooted in context, culture, and proactive design. From adaptive authentication to just-in-time access models, there are smarter ways forward that balance security and user experience without turning employees into roadblocks. And we go even further. We talk about the next phase of risk, where AI agents aren't just tools but semi-autonomous actors capable of learning and adapting. What happens when one of these agents goes off-script? What safeguards are in place if they begin to behave in ways their developers didn't anticipate? This episode is not about hype. It's a practical look at what identity-first security really means in a machine-dominated environment. So let's hear it: do you think your business is ready for this shift? Or are we still relying too much on assumptions that no longer hold up? Let me know what you think after listening.

In today's episode, I sit down with John Adam, Chief Revenue Officer at Aimprosoft, for a direct conversation on what it really takes to implement AI inside a business. With AI hype dominating headlines, many companies are either rushing in without a clear plan or standing still out of fear of making the wrong move. John brings a grounded perspective, shaped by years of helping mid-sized firms and enterprise teams move beyond buzzwords and into real, measurable outcomes. We explore how Aimprosoft guides clients to focus on AI projects that are low in complexity but high in impact. These early wins are often the key to building internal buy-in and unlocking wider adoption across departments. John shares why modular implementation strategies are becoming more popular, especially for companies that want to avoid getting locked into any one vendor or platform. Our conversation goes beyond the technical. We discuss where AI tools actually deliver value and where they fall short. John highlights that AI performs well in rules-based, repetitive environments but still struggles with nuance, edge cases, and anything that requires emotional intelligence. He also outlines the importance of ethics, especially in regulated industries, and offers a pragmatic approach to mitigating bias, protecting data, and maintaining brand voice. With examples drawn from Aimprosoft's client work, including success stories involving scalable platform rebuilds and cost-saving test automation, this episode offers a clear-eyed view of how AI is being used today. John emphasizes that the right starting point is a good data strategy, supported by simple pilot projects that prove value early. If you're a leader trying to separate substance from noise in AI conversations, this episode offers an honest look at what works, what doesn't, and how to move forward without overcommitting. What's the smartest first step your team can take with AI right now? Let's find out.

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