Tech Talks Daily

What does bringing clarity and control to today's fragmented digital work environments take? In this episode, recorded live at IGEL Now & Next 2025, I sit down with Tommy Walker, Partner CTO at Omnissa, to explore the intersection of user experience, security, and operational simplicity in modern enterprise IT. With career-spanning roles at VMware, Citrix, and Cisco, Tommy offers a real-world perspective on navigating complexity while building meaningful solutions that work at scale.

This is a conversation grounded in reality. We discuss how organizations can move beyond legacy infrastructure and simplify their digital workspace strategy without overwhelming users or IT teams. Tommy shares how Omnissa is helping enterprises shift from scattered tools and outdated workflows to unified, AI-informed platforms that boost both productivity and resilience.

We also unpack the practical steps for tackling challenges like technical debt, the Windows 10 end-of-life transition, and rising pressure on IT to deliver more with fewer resources. Throughout the discussion, Tommy emphasizes the importance of partnerships—not just between vendors, but within the entire IT ecosystem—to deliver outcomes that matter. And yes, there's also room for a few lighter moments involving drones, endpoint telemetry, and the occasional geek-out over infrastructure design. But at the core of this conversation is a clear message: modern IT is about enabling users without compromising security and simplifying operations without losing flexibility.

If you're rethinking your endpoint strategy, evaluating your hybrid work approach, or just trying to bring a little more order to the chaos, this episode will leave you with practical insights and maybe even a few new ideas for your roadmap.

Are you ready to build a digital workspace strategy that actually works? Let's get into it.

What does it truly take to secure the edge of the enterprise in a multi-cloud, AI-driven world? At IGEL Now & Next 2025 in Miami, I sat down with Marissa Schmidt, Senior Director Analyst at Gartner, to unpack the future of endpoint computing and cybersecurity from a perspective rooted in deep research, hands-on insight, and strategic clarity.

As hybrid work continues to scale and the cloud cements itself as the core of modern infrastructure, new demands are being placed on endpoint operating systems, access frameworks, and cloud security models. Marissa brings a clear-eyed view of what's working, what's changing, and what IT leaders need to start doing differently.

In this conversation, we explore how AI is reshaping both attack and defense strategies, why the OS layer has become a strategic asset, and what Gartner is seeing in terms of the biggest shifts in cloud networking and endpoint security in 2025. We also dig into the principles behind zero trust, the realities of managing dozens of overlapping security tools, and how businesses can begin building more resilient, adaptive architectures—starting today.

Marissa also shares insights from her keynote and the Women in Tech panel at IGEL Now & Next, including the importance of authentic leadership, being a continuous learner, and building a strategy that connects real-world data with future-ready infrastructure.

Whether you're navigating cloud transformation, rethinking your endpoint strategy, or trying to make sense of the security demands brought on by AI, this episode offers a sharp, actionable look at where things are heading—and how to stay in front of it.

Are your cloud and endpoint strategies built for what's next? Let me know your thoughts.

What does it really take to reimagine the future of endpoint computing? In this special episode recorded live from IGEL's Now and Next 2025 event in Miami, I sit down with Klaus Oestermann, CEO of IGEL, to explore how cybersecurity, digital workspaces, and user experience are being transformed at the edge. Klaus is no stranger to innovation, having spent decades in high-assurance security across critical industries, and now leading IGEL's mission to simplify, secure, and modernize how enterprises manage endpoints.

Our conversation starts by unpacking the shift from traditional perimeter-based security models to a new way of thinking rooted in prevention. Klaus explains how IGEL's Preventative Security Model addresses modern threats by dramatically reducing the attack surface at the endpoint and flipping the conversation from detection and response to control and containment. With more organizations relying on hybrid work and SaaS-based applications, the endpoint has never been more critical—or more vulnerable.

Klaus also outlines how IGEL OS is supporting everything from virtual desktop infrastructure to secure browsing, while enabling consistent user experiences across cloud, on-prem, and edge environments. But this episode isn't just about technology. It's about strategy.

Klaus shares how IGEL is creating meaningful impact by extending device life cycles, cutting hardware replacement costs, and supporting sustainability goals. With Windows 11 upgrades looming and endpoint refresh cycles under pressure, IGEL presents a compelling alternative that balances performance with responsibility.

We also dive into the role of AI, how it's reshaping device requirements, and what it means for endpoint security moving forward. And as IGEL expands its ecosystem and reveals over 20 new announcements at this year's event, Klaus offers a candid look into what's resonating with customers—and where the industry is headed next.

So what will define your endpoint strategy in 2025? And is your organization ready to lead from the edge?

What's the return on your AI investment? In today's episode, I'm joined by Varun Bijlani, Global Managing Partner for Hybrid Cloud Services at IBM Consulting, to explore why 2025 is shaping up to be a pivotal year for IT leaders under pressure to deliver stronger, measurable outcomes from technology investments.

While many IT projects have historically delivered modest returns, expectations are rising. With a growing number of executives focused on increasing ROI by 25 percent or more, the ability to connect AI efforts to real business value is becoming non-negotiable.

Drawing on insights from IBM Consulting's latest book, The Great Tech Reset, Varun outlines how the shift from experimental AI projects to production-level deployment is exposing the cracks in outdated infrastructure strategies. He explains why many businesses are trapped in what he calls a hybrid by default architecture, and how that limits the potential of generative AI. Instead, he advocates for a hybrid by design approach, one that aligns cloud infrastructure with AI goals from the outset.

We discuss the organizational mindset shifts needed to move from fragmented systems to intentionally built environments that scale with innovation. Varun also shares real-world examples of companies achieving returns as high as 3.3 times their investment through more intentional planning and execution.

As IT leaders look to reset priorities for the year ahead, how can they build the kind of foundation that allows AI to thrive? And what steps can they take today to ensure their technology choices drive value, not just cost?

What can the UK learn from the Nordic approach to manufacturing—and how can technology play a central role in revitalising the sector? This week on Tech Talks Daily, I sat down with Simon Ranyard, Managing Director for Northwest Europe at Orange Business, to explore the strategic differences between two regions facing similar challenges but moving in very different directions.

Simon brings a unique cross-regional view, overseeing Orange Business operations across the UK, Ireland, and the Nordics. While labour shortages and productivity declines are shared concerns, Simon explains why Nordic manufacturers have responded with long-term investments in digitisation and automation, creating not just gains in efficiency but also a rise in high-skill employment. In contrast, many UK firms are still defaulting to short-term headcount increases, missing the bigger opportunity.

We discuss the data behind the divergence, including why Sweden has three times the robot density of the UK, and what that means for output and workforce transformation. Simon highlights how automation isn't about job replacement, but role elevation—moving people away from repetitive tasks and into positions that require critical thinking and collaboration with advanced tools.

He also shares practical insight into how technologies like 5G, AR, and IoT are reshaping production environments, lowering operational costs, and helping companies stay competitive globally. With government-backed reskilling initiatives and AI now moving from theory to application, Simon makes the case for UK manufacturers to adopt a more strategic, future-facing mindset.

If you work in manufacturing, policy, or are simply curious about how different regions are using tech to solve shared problems, this episode offers real-world perspective and tactical advice. What kind of investment decisions will define the next decade of UK industry—and can a mindset shift help close the productivity gap?

How do you turn AI investment into measurable outcomes, not just inflated expectations? In this episode, I'm joined by Dennis Woodside, CEO of Freshworks, to unpack how mid-sized businesses can move fast with AI, show results quickly, and stay competitive without enterprise-level complexity or pricing.

Dennis shares how Freshworks is helping companies achieve real productivity gains and customer support improvements through accessible, enterprise-grade AI tools. With solutions that boost agent performance, reduce repetitive tickets, and deliver useful insights to managers, Freshworks is proving that you don't need to be a tech giant to see value from AI.

We also explore the challenges that hold mid-market businesses back from adopting AI, and how Freshworks is helping them overcome barriers with tools that are fast to implement, easy to evaluate, and flexible enough to grow with the business. Dennis also reflects on what the industry can learn from customer case studies, including how one company achieved over 250 percent ROI and saved $100,000 annually by streamlining support with AI.

If your business is exploring how to make AI work without long timelines or runaway budgets, this conversation offers a grounded view into what's working—and why. Are you measuring real return on AI in your organization, or just chasing the trend?

Why do so many businesses struggle to turn insight into impact? At the X4 Summit in Salt Lake City, I sat down with Adam Hagerman, UX Research Director at Indeed, for a refreshingly candid conversation about how his team has helped reshape the company's approach to research, collaboration, and decision-making.

In a tech culture that values autonomy and individualism, aligning people around a shared understanding of user needs is no small feat—but it's exactly what Adam has been working on.

In this episode, we unpack how Indeed built a shared research framework that breaks down silos, creates a common language, and encourages teams across the business to talk to one another in more meaningful ways. Adam shares how his team tackles the challenge of information overload by focusing on relevance over volume—and how measurement itself becomes a shared system of accountability across functions.

We also discuss the evolving role of AI in research, including how Adam's team uses it to reduce cognitive overhead, accelerate workflows, and spark better questions. But perhaps most importantly, Adam talks about the mindset shift needed in times of rapid change—and why embracing uncertainty and remaining curious is more productive than clinging to old ways of working.

Whether you're a UX leader, researcher, or business decision-maker looking to get more from your data, there's plenty here to reflect on. How do you ensure your insights aren't just collected, but acted on? How do you build trust in research across teams? And how can we all get better at asking, "What problem are we actually trying to solve?"

Let me know what resonated with you. What challenges have you faced in translating research into action within your own organisation? I'd love to hear your thoughts.

How do we build high-performing teams in a world where colleagues might never meet face to face?

At the X4 Summit in Salt Lake City, I caught up with two standout voices from Atlassian—Molly Sands, Head of the Teamwork Lab, and Emma Crockett, Head of People Insights. Together, they bring a rich mix of behavioral science, experimentation, and data-driven strategy to the future of work. In this episode, we unpack what it really takes to design distributed work environments that foster both productivity and connection.

Molly shares how her team studies internal and external teams to understand what drives collaboration in a hybrid world, while Emma reveals how Atlassian turns insights into action by grounding people strategies in measurable outcomes. We talk about clear goal setting, the power of asynchronous communication, and how the physical workspace itself can evolve to support a flexible, purposeful culture.

But this isn't just about metrics and models—it's about human connection. From a delightful experiment involving "Chief Vibes Officers" and quirky team questions, to Atlassian's scrappy and iterative approach to designing new ways of working, this episode offers real-world ideas for reimagining how teams collaborate.

We also explore the pitfalls of defaulting to old habits like Zoom fatigue and information silos, and what it takes to fix them. As we touch on people analytics, the role of trust, and the impact of thoughtful measurement, Molly and Emma remind us that even with AI and automation in the mix, work is still about people.

So, if your team is struggling with how to work better together—whether you're all remote, hybrid, or co-located—what lessons could you take from Atlassian's approach?

Let us know your thoughts. How is your organisation adapting to the realities of modern teamwork?

What does it take to keep a 40-year-old brand rooted in nostalgia relevant in a rapidly evolving, tech-driven world?

In this special episode recorded live from the X4 Summit in Salt Lake City, I sit down with Maggie Stafford, Vice President of People Insights at Hagerty, to explore how a company best known for classic car insurance has become a technology-enabled, community-powered lifestyle brand for auto enthusiasts.

From cloud-based transformation to one-on-one customer experiences, Maggie shares how Hagerty is modernizing its approach to customer and employee engagement—while staying true to its mission to "save driving."

We discuss the evolution of Hagerty's digital experience, including their $20 million investment into a modern tech stack, designed not only to improve operational efficiency but also to meet growing member expectations.

Maggie also gives a behind-the-scenes look at how the brand's culture—one where employees learn to drive stick and take collector cars for a spin—shapes everything from customer service to product development.

You'll hear how community remains the beating heart of the business, with more than 850,000 Hagerty Drivers Club members connecting at grassroots events and exclusive experiences like the Festival of the Unexceptional and Amelia Island Concours. We also explore how Hagerty is using data and insights to prepare for the future of car culture, at a time when automation, electrification, and driverless vehicles are becoming the new norm.

So how does a brand that celebrates the visceral joy of driving stay relevant in an era of AI and autonomy? And what can other businesses—especially those outside the traditional tech space—learn from Hagerty's approach to transformation and loyalty?

Tune in to find out, and don't forget to share your thoughts: how do you balance tradition with innovation in your business?

Can AI truly revolutionize customer experience, or is it just another overhyped tech trend? While most organizations recognize AI's potential, many are still struggling to scale AI beyond pilot projects. So, what's holding them back?

In this episode, recorded live at the X4 Summit in Salt Lake City, I sit down with Isabelle Zdatny, Head of Thought Leadership at Qualtrics XM Institute, to explore the $860 billion opportunity AI presents for customer experience. We discuss why only 12% of organizations have a company-wide AI strategy, the disconnect between AI ambition and execution, and how companies can break free from what she calls "pilot purgatory."

Key topics include:

• The three biggest ways AI will unlock business value—from productivity gains to revenue growth and operational efficiency.
• Why AI needs to be top-down and outcome-focused—not just a shiny tech experiment.
• The rise of Agentic AI—AI that doesn't just assist but autonomously manages entire workflows.
• How leading companies are using AI to predict and prevent customer churn, personalize interactions, and optimize operations.
• The biggest myths about AI in CX—and why you don't need perfect data to get started.

As AI reshapes how businesses engage with customers, companies that act decisively and strategically will gain a significant competitive advantage. But will they move fast enough?

Tune in to hear real-world insights, case studies, and expert advice from Isabelle on how businesses can turn AI potential into real impact—before their competitors do.