Tech Talks Daily

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.

3245: How Trello is Tackling Task Overload with AI and Design Thinking 04/16/2025

3244: From Mainframes to AI: Paula Paul on Building Software That Lasts 04/16/2025

3244: From Mainframes to AI: Paula Paul on Building Software That Lasts What happens when four decades of hands-on engineering experience meet today’s fast-moving AI and open-source ecosystem? In this episode of Tech Talks Daily, I sit down with Paula Paul, Founder and Distinguished Engineer at Greyshore, to explore that intersection. Paula began her tech career in the early 1980s writing code for IBM mainframes and has since become a trusted voice in enterprise modernization, cloud adoption, and open-source governance. Today, she advises organizations on how to build with confidence in an era defined by complex software supply chains, generative AI, and evolving SaaS models. We recorded this conversation during a time when many organizations are feeling the pressure to adopt AI and modernize legacy systems, but struggle with where to begin. Paula offers grounded insights on how to break down replatforming into value-driven streams and why a “big bang” transformation approach is often more risk than reward. She also talks about the critical role of open source in business today—not just from a tooling standpoint, but in terms of responsibility, transparency, and community. Paula’s perspective is refreshingly practical. She believes AI is a natural evolution of decades of computing and storage expansion but urges companies to start with targeted experiments and thoughtful team collaboration. She also shares her experiences as a woman in tech since the 1980s, reflecting on what’s changed and what hasn’t and how leadership dynamics continue to shape opportunities for women in the industry. Beyond the code, Paula draws a fascinating parallel between music and technology. As a board member of the Brookline Music School and an oboe and English horn student, she explores how musical thinking can enhance software development's rhythm, structure, and leadership. If you’re navigating modernization, curious about AI’s role in development, or wondering how to make open source work for your organization—technically and strategically—this episode has something for you. How are you balancing technical ambition with long-term value? Let’s continue the conversation. /episode/index/show/techblogwriter/id/35720350

3243: How Atlassian CTO Turned Developer Joy Into a Performance Metric 04/15/2025

3242: L.E.K. Consulting on Using AI to Balance Speed, Risk, and Growth 04/14/2025

3242: L.E.K. Consulting on Using AI to Balance Speed, Risk, and Growth What if most product launches fail not because of bad ideas—but because of broken processes? In today’s episode of Tech Talks Daily, I’m joined by Stuart Jackson, Vice Chair of L.E.K. Consulting and co-author of the forthcoming book Predictable Winners (Stanford University Press, 2025). Stuart brings nearly four decades of experience in strategic growth and innovation, and his insights offer a much-needed reframe for businesses navigating the high-stakes world of new product and service development. We sat down to explore a topic many leaders shy away from: why 70–90% of product launches still miss the mark. Stuart breaks down the structural weaknesses that often derail innovation and explains why relying on gut instinct is no longer enough. Instead, we discuss how a rigorous, data-backed approach—augmented by AI—can dramatically reduce the risk profile of innovation while improving speed, accuracy, and return on investment. Stuart shares how leading organizations are integrating AI into every phase of their innovation pipeline—from idea screening and predictive analytics to launch planning and ongoing iteration. He outlines the rise of long-horizon thinking and how AI is enabling companies to identify emerging demand signals well before the competition. What I found particularly refreshing was Stuart’s take on what top innovators do differently. It’s not just about having better ideas—it’s about building the right systems. That means empowering cross-functional teams, systematically disaggregating risk, and knowing when to pivot versus when to persevere. This conversation isn’t about theory. It’s a pragmatic look at how to move from product guesswork to predictable success—whether you're building in-house or buying through M&A. For founders, product leaders, and anyone trying to modernize their innovation model, this episode offers grounded advice and a clear framework that you can start applying today. How are you thinking about AI as a tool for risk reduction in innovation? Are your product strategies built for speed or sustainability—or both? Let me know what you think. /episode/index/show/techblogwriter/id/35709445

3241: Transparency, Trust, and AI: Atlassian’s Legal Framework in Action 04/14/2025

3241: Transparency, Trust, and AI: Atlassian’s Legal Framework in Action At Team '25 in Anaheim, I had the unique opportunity to sit down with Stan Shepard, General Counsel at Atlassian, for a conversation that pulled back the curtain on how legal and technology are intersecting in the age of AI. Stan’s journey from journalism to law to shaping legal operations at one of the world’s most forward-thinking companies is as fascinating as it is relevant. What emerged from our discussion is a clear signal that legal teams are no longer trailing behind innovation—they’re often at the front of it. Stan shared how Atlassian’s legal function achieved 85 percent daily usage of AI tools, including the company’s in-house assistant, Rovo. This is remarkable when compared to the industry norm, where legal teams typically lag in AI adoption. Instead of resisting change, Stan’s team leaned into it, focusing on automation for repetitive tasks while reserving high-value thinking for their legal experts. We explore Atlassian’s responsible tech framework, their principles around transparency and accountability, and how these inform product development from day one. Stan also walked me through how Atlassian is navigating the emerging global regulatory landscape, from the EU AI Act to evolving compliance in the US. His insights on embedding legal counsel directly into product teams, rather than operating on the sidelines, reveal a model of collaboration that turns risk management into a growth enabler. For legal professionals, compliance leaders, and tech decision-makers wrestling with how to integrate AI responsibly, this episode offers a grounded, real-world blueprint. It’s not just about mitigating risk—it’s about building trust, preserving human judgment, and future-proofing your operations. If you’re wondering what responsible AI adoption looks like at scale, you’ll want to hear this one. So how are you preparing your legal and compliance strategy for the AI-powered workplace? Let’s keep the conversation going. /episode/index/show/techblogwriter/id/36111290

3240: How Storadera Is Simplifying S3-Compatible Cloud Storage 04/13/2025

3240: How Storadera Is Simplifying S3-Compatible Cloud Storage What if cloud storage could be simple, transparent, and genuinely affordable? In this episode of Tech Talks Daily, I sit down with Tommi Kannisto, founder of Storadera a company based in Estonia that's redefining the way businesses approach object storage. I first met Tommi during the IT Press Tour in London, where Storadera's fresh perspective on S3-compatible cloud storage stood out for all the right reasons. In our conversation, Tommi shares the journey behind building a hyper-converged cloud storage platform that challenges conventional thinking. From eliminating hidden fees to maximizing performance on traditional spinning disks, Storadera is built around an ethos of doing more with less. The platform’s architectural simplicity allows for efficient scaling, reliable performance with small files, and an operational model that avoids complexity by design. Tommi also walks us through how Storadera handles everything from data durability to sovereignty, with data centers already operating in Estonia and the Netherlands. With growing demand from regions focused on local control of data, we explore the opportunities emerging from geopolitical shifts and increasing global focus on sovereignty. Estonia’s digital-first culture and its thriving startup ecosystem form the backdrop to this innovation, and we discuss how a small country has produced more than its share of tech unicorns. As we look to the road ahead, Tommi explains how AI might soon play a role in optimizing read and delete operations to push storage efficiency even further. He also touches on the growing interest in Storadera from companies seeking alternatives to US-based hyperscalers and how demand from across Europe is shaping their expansion plans. If you’re exploring options beyond the cloud giants or curious about what’s brewing in Europe’s fast-growing tech scene, this episode offers a fresh, founder-led view of the storage market. Let me know what resonates with you. Are you considering new storage strategies in light of data locality or cost pressures? I’d love to hear your thoughts. /episode/index/show/techblogwriter/id/36109350

3239: From Google to AppsCode: Tamal Saha’s Journey to Kubernetes Innovation 04/12/2025

3239: From Google to AppsCode: Tamal Saha’s Journey to Kubernetes Innovation What if managing databases on Kubernetes didn’t require a team of specialists or endless configuration? In this episode of Tech Talks Daily, I sit down with Tamal Saha, founder and CEO of AppsCode, to explore how his team is building a more intuitive, scalable, and enterprise-ready approach to Kubernetes-native data management. Recorded during the IT Press Tour in London, this conversation traces Tamal’s journey from Bangladesh to Google, and ultimately to launching AppsCode in 2016. He shares how early experiences with Google's internal systems helped shape his vision for a cloud-native data platform built for modern application environments. What began as an open-source passion project has evolved into a comprehensive enterprise suite that includes solutions like KubeDB, Stash, Voyager, and KubeVault. We discuss the operational realities of managing databases in Kubernetes—from simplifying provisioning and backups to solving problems around TLS management, multi-tenancy, and even secret rotation. Tamal outlines the benefits of a Kubernetes-native architecture for platform engineers, DevOps teams, and developers who want to deploy faster, automate more, and keep full control over their environments. With real-world insights from enterprise deployments, including large-scale telcos modernizing their infrastructure, Tamal explains how AppsCode is helping organizations move from ticket-based database provisioning to true self-service. He also looks ahead to what's coming next, including support for vector databases, AI-powered provisioning interfaces, and deeper integrations with open telemetry and observability tools. Whether you’re running stateful workloads in Kubernetes today or exploring how to modernize your data layer, this episode is packed with insight into building platforms that work with developers, not against them. So, is it time to rethink your approach to data in the cloud-native era? Let me know what you think. /episode/index/show/techblogwriter/id/36108590

3238: How Prove AI is Redefining AI Risk Management with Distributed Ledger Technology 04/11/2025

3238: How Prove AI is Redefining AI Risk Management with Distributed Ledger Technology What happens when the need for rapid AI innovation runs up against the growing pressure for trust, accountability, and compliance? In this episode of Tech Talks Daily, I sit down with Mrinal Manohar, CEO of Prove AI, to explore how risk management can accelerate rather than hinder AI deployment. Mrinal shares how Prove AI is helping organizations build trust into their AI systems from the start. At a time when businesses are moving AI models into production, yet often lack visibility or safeguards, Prove AI offers a solution grounded in transparency and automation. Their approach uses distributed ledger technology to create tamper-proof audit trails for AI models. This allows teams to focus on innovation while having the infrastructure in place to meet evolving standards and regulatory demands. We discuss why traditional monitoring techniques fall short in an AI context, especially as models become more complex and decisions happen in real time. Prove AI’s infrastructure is designed to support continuous risk mitigation. By recording every event and decision with cryptographic certainty, they make it possible to prove safety, compliance, and responsible use without relying on labor-intensive manual audits. Mrinal also explains how Prove AI’s upcoming GRC product aligns with ISO 42001 and helps companies stay ahead of regulatory expectations. Whether you're deploying AI in customer service, manufacturing, or high-risk environments, the platform ensures clear oversight without disrupting speed or agility. This conversation covers practical examples of AI risk in action, from automated railway inspections to drive-through ordering systems. We also explore how distributed ledger technology is helping redefine AI governance, offering companies a way to move fast with confidence. If you're scaling AI and wrestling with risk, compliance, or trust, this episode will give you a fresh perspective on how to build guardrails that support growth—not slow it down. /episode/index/show/techblogwriter/id/36084110

3237: The System of Work: Atlassian’s Blueprint for Modern Collaboration 04/10/2025

3237: The System of Work: Atlassian’s Blueprint for Modern Collaboration What if the way we work could finally match the way we want to work? At Atlassian’s Team '25, that vision is no longer a distant ideal. In this special episode recorded live from the event, I sit down with Anu Bharadwaj, President of Atlassian, for an in-depth conversation about the future of collaboration and the company’s newly formalized System of Work. Anu offers a behind-the-scenes look at how Atlassian is rethinking productivity through a new lens. We discuss how the System of Work unifies teams, tools, and data to drive meaningful outcomes instead of isolated wins. Anu explains how this framework was designed to move beyond conventional work management tools, helping teams focus not just on doing more, but on achieving more together. One of the standout innovations is the Teamwork Graph. Built to provide context across tools and departments, it connects strategy to execution with clarity. We explore how this visibility allows leaders to uncover bottlenecks, align resources, and connect the dots between business goals and day-to-day work. It’s about making the invisible work visible and measurable. We also dive into Rovo, Atlassian’s new AI teammate designed to elevate rather than replace human contribution. Anu shares how AI tools are being developed to reduce cognitive load, eliminate friction, and give people more time to focus on what truly matters. By embedding intelligence directly into the workflow, Atlassian is helping organizations reduce the time lost searching for answers and navigating silos. For leaders looking to modernize their operations, Anu outlines where to start and what to watch out for. Whether you are overseeing enterprise transformation or leading a fast-moving team, this conversation provides a practical view into how the Atlassian platform is helping organizations unlock better outcomes. What resonated most for me was the shift from chasing productivity to enabling performance. Atlassian is not just enhancing collaboration—it’s helping reshape how teams think, operate, and scale. If you're curious about the System of Work, the Teamwork Collection, or what was unveiled at Team '25, this episode is for you. It’s a glimpse into the future of work that prioritizes people, aligns efforts, and enables continuous learning. Let me know what you think. How are you planning to turn insights into action within your team? /episode/index/show/techblogwriter/id/36083035

3236: ThoughtSpot and the Rise of AI-Driven Decision Making 04/09/2025

3235: How Zscaler Is Building Resilience by Design into Modern Cybersecurity 04/08/2025

3235: How Zscaler Is Building Resilience by Design into Modern Cybersecurity In this episode of Tech Talks Daily, I sit down with Marc Lueck from Zscaler to explore a security mindset shift that more businesses are beginning to embrace. The conversation revolves around the "Resilient by Design" principle, which encourages organizations to stop relying on reactive threat detection and start building systems that anticipate risk and limit impact from the outset. Marc explains how today’s cyber landscape demands more than traditional firewalls and legacy systems. He breaks down why Zero Trust should no longer be seen only as a remote access solution, but as a consistent, context-driven access model for all environments. From on-premises communication to lateral traffic between applications, Marc outlines how this model helps reduce vulnerabilities and prevent attacker movement inside the network. We also dive into the challenges posed by AI-driven attacks, where phishing, malware, and reconnaissance are increasingly automated and customized to each target. With these tactics becoming more advanced, Marc stresses the importance of shifting away from pattern-based detection toward a strategy based on real-time context and intent. He shares insights into Continuous Threat and Exposure Management (CTEM), a new class of tools that help security teams understand where problems are likely to occur before they happen. This proactive focus is key to designing systems that are resilient under pressure, rather than relying on alerts after the fact. From his analogies of planning for hurricanes rather than rainstorms, to his thoughts on legacy systems and the future role of automation in threat response, Marc offers a practical look at what resilient infrastructure truly involves. So the question is, are your systems designed to recover and continue when something breaks, or are they waiting for the next emergency to arrive? Let’s find out. /episode/index/show/techblogwriter/id/35738235

3234: Arcium and the Rise of Encrypted Supercomputing 04/07/2025

3233: Inside Xsolla ZK and the Future of Blockchain Gaming 04/06/2025

3233: Inside Xsolla ZK and the Future of Blockchain Gaming I sit down with Chris Hewish, Chief Strategy and Communications Officer at Xsolla, and Lee Jacobson, Senior Vice President of Business Development for Web3 at the same company. Together, they share how Xsolla is helping game developers adapt to the rapidly shifting digital economy by bridging blockchain innovation with proven business models in the gaming world. Xsolla is no stranger to transformation. With over two decades of experience and more than 2,500 games monetized through its platform, the company is once again stepping into a leadership role—this time at the intersection of Web3 and gaming commerce. One of the headline announcements we discuss is the launch of Xsolla ZK, a new blockchain-powered solution built on ZKsync technology. It’s designed to scale Web3 experiences in a way that’s secure, accessible, and meaningful for developers and players alike. We explore the "digital backpack" concept that sits at the core of this initiative. This isn't just a marketing buzzword—it’s a player-owned inventory system that gives gamers real control over their in-game assets. Whether it's transferring gear between games or monetizing collectibles in ways previously restricted by walled gardens, this feature signals a shift toward deeper engagement and lasting value. Chris and Lee also offer a behind-the-scenes look at how direct-to-consumer models like Xsolla’s Web Shop are unlocking new revenue channels for developers. With a fee structure significantly lower than traditional app stores and tools for customized experiences, these platforms are helping studios build stronger relationships with their communities while boosting margins. Security, transparency, and compliance remain central to the conversation, especially as blockchain adoption grows. We also touch on identity protection through zero-knowledge proofs and what interoperability might look like in a future where players and creators collaborate across an increasingly open ecosystem. From creator monetization to the evolution of in-game economies, this episode is a must-listen for anyone watching the convergence of Web3, blockchain, and gaming. /episode/index/show/techblogwriter/id/35745795

3232: IT Press Tour Insights: Redefining Backup-as-a-Service with Auwau 04/05/2025

3231: How Searchlight Cyber Tracks Threats Before They Strike 04/05/2025

3230: Inside io.net's On-Demand GPU Infrastructure 04/04/2025

3229: SmartRecruiters on Balancing Automation and Human Connection 04/03/2025

3228: Thoughtworks on AI Agents, Explainability, and What’s Next 04/02/2025

3228: Thoughtworks on AI Agents, Explainability, and What’s Next What happens when the hype around generative AI starts to mature, and businesses begin asking harder questions about performance, risk, and long-term value? In today’s episode, I’m joined by Mike Mason, Chief AI Officer at Thoughtworks, to explore how 2025 is shaping up across the enterprise AI landscape—from the rise of intelligent agents to the growing traction of small, nimble models that prioritize security and specificity. Mike brings a deep, practical perspective on the evolution of AI inside complex organizations. He unpacks how AI agents are moving well beyond basic chatbots and starting to integrate into actual business workflows—performing as teammates that can reason, adapt, and even collaborate with other agents. We dig into examples like Klarna's workforce transformation and examine how this shift could play out across customer service, internal ops, and software development. We also look at what’s fueling the boom in open source AI and how companies are navigating the balance between transparency, IP protection, and regulatory readiness. Mike shares why some financial services firms are turning to in-house fine-tuned models for greater control, and how open-weight and fully open-source models are starting to gain real ground. Another key theme is the momentum behind small language models. Mike explains why bigger isn’t always better—especially when it comes to data privacy, edge deployment, and resource efficiency. He outlines where SLMs can outperform their larger counterparts and what that means for companies optimizing for security and speed rather than brute force compute. We also discuss Thoughtworks' forthcoming global survey, which reveals a growing divide in generative AI adoption. While mature players are building in bias detection and robust compliance frameworks, newer entrants are leaning toward fast operational gains and interpretability. This gap is shaping how GenAI projects are prioritized across industries and geographies, and Mike offers his take on how leaders can navigate both speed and safety. So, what role will explainability, regulation, and open ecosystems play in shaping the AI tools of tomorrow—and what should business and tech leaders be planning for now? Let’s find out in this wide-ranging conversation with Thoughtworks. /episode/index/show/techblogwriter/id/35932940

3227: Dataiku on Managing LLMs Without the Chaos 04/01/2025

3227: Dataiku on Managing LLMs Without the Chaos What does it really take to implement generative AI in a way that balances innovation, governance, and long-term value? In today’s episode, , I’m joined by Emma Irwin, Director of Sales Engineering at Dataiku. With a deep background in enterprise AI and experience supporting major organizations like AVIVA and the NHS, Emma brings a grounded, real-world perspective to one of the most hyped areas in tech today. While most businesses are ramping up GenAI investments, few have the processes, controls, or workforce skill sets needed to scale safely and effectively. Emma and I dive straight into the challenges that IT leaders are facing right now—from managing LLM usage and controlling cost, to building secure frameworks that actually reduce risk rather than amplify it. Emma unpacks the three key pillars every organization needs for sustainable GenAI success: access controls that keep your stack flexible, robust discovery mechanisms to document LLM usage across the enterprise, and value quantification to show the real return on AI initiatives. But what really stood out is the need for diverse teams and strong governance models to address bias in AI development. From sentiment analysis to internal chatbots and large-scale summarization use cases, Emma brings a mix of strategy and execution to the conversation. We also explore the importance of secure sandbox environments, the value of audit-readiness through documentation automation, and why it’s time for every business to move beyond experimentation into a more structured, responsible phase of AI maturity. Emma is also a vocal advocate for women in tech and AI, and shares how mentorship, representation, and inclusive leadership can help shape a more equitable future for the industry. So what guardrails do you have in place for GenAI? Are you really ready to move from pilot projects to enterprise-scale implementations? This episode is packed with insights for anyone building, managing, or scaling AI across the enterprise. /episode/index/show/techblogwriter/id/35683970

3226: How Instabug Uses AI to Catch Bugs Before Users Do 03/31/2025

3226: How Instabug Uses AI to Catch Bugs Before Users Do What if your mobile app could detect bugs, fix UI inconsistencies, and spot user frustration before a user ever reports it? In today’s episode, I sit down with Kenny Johnston, Chief Product Officer at Instabug, to explore how AI is reshaping the way developers build, test, and maintain mobile apps. Instabug is taking mobile observability to an entirely new level by developing what Kenny describes as “zero maintenance apps.” Powered by on-device AI models, their platform can now detect subtle UX breakdowns, visual design flaws, and even frustration signals that wouldn’t normally trigger crash reports. Whether it’s an unresponsive button, a layout shift, or a broken navigation path, Instabug flags the issue, often before a user ever notices. Kenny shares how Instabug’s approach to AI is helping development teams move faster and smarter, particularly in high-stakes environments like retail and e-commerce where performance peaks during events like Black Friday or Valentine’s Day. Through real-time crash reporting, automated UI analysis, and deep session insights, developers can spot and solve problems that would otherwise get lost in a backlog or surface in app store reviews. We also explore the unique pressures of mobile development. With no quick rollbacks and high user expectations, developers need tools tailored to the realities of app store approvals, device fragmentation, and version-specific bugs. Instabug’s platform brings together observability, feedback, and issue reproduction in a way that simplifies the mobile stack and accelerates release cycles. Kenny draws on his experience at GitLab to reflect on the need to consolidate tools and workflows in mobile development. He offers valuable insights for product leaders and mobile engineers on how to navigate change, evolve their approach, and stay curious in the face of constant technical demands. So how can your team shift from reactive debugging to proactive experience design? And are you really seeing all the issues your users encounter or just the ones they report? It's time to find out. /episode/index/show/techblogwriter/id/35641955

3225: Inside Microsoft’s Vision for Cloud PCs and Hybrid Work 03/30/2025

3225: Inside Microsoft’s Vision for Cloud PCs and Hybrid Work What happens when Microsoft joins forces with IGEL to reimagine the future of endpoint computing? In today’s episode, recorded live at IGEL’s Now & Next 2025 in Miami, I sit down with Scott Manchester, Vice President of Windows 365 and Azure Virtual Desktop at Microsoft. With decades of experience at the helm of virtualization and cloud innovation, Scott brings a grounded yet forward-looking view of how Microsoft is enabling businesses to adapt to the evolving demands of work. Our conversation explores how Microsoft and IGEL are working together to address real enterprise challenges—from simplifying endpoint management to ensuring high-performance, secure digital workspaces. We look at how Windows 365 Cloud PC and Azure Virtual Desktop are helping businesses embrace the cloud while navigating the transition to Windows 11. And we discuss the real-world implications of this shift, from extending the lifecycle of devices to increasing flexibility for IT teams and remote users alike. Scott also opens up about the industries that are leading in cloud workspace adoption—from healthcare systems like Baptist Medical Center to federal agencies and financial services—and how Microsoft is shaping its offerings to meet the distinct needs of these sectors. We unpack the unique advantages of IGEL’s Linux-based OS, the growing role of zero trust architecture, and why seamless user experiences are no longer optional in the hybrid era. With new licensing models like Windows 365 Frontline Shared and deeper integration between Microsoft and IGEL, it’s clear this partnership is more than technical alignment—it’s a shared strategy aimed at delivering resilient, secure, and scalable digital environments. Whether you’re planning your Windows 11 migration or just exploring cloud PCs as part of your future roadmap, this episode is packed with strategic insights from a tech leader who knows how to deliver results. What role will the cloud desktop play in your 2025 strategy? /episode/index/show/techblogwriter/id/35920260

3224: Omnissa and the Future of Unified Digital Workspaces 03/29/2025

3224: Omnissa and the Future of Unified Digital Workspaces 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. /episode/index/show/techblogwriter/id/35916810

3223: Gartner Insights on the Future of Endpoint Security and EUC Strategies 03/28/2025

3222: IGEL CEO Klaus Oestermann on Rewriting the Rules of Endpoint Computing 03/27/2025

3222: IGEL CEO Klaus Oestermann on Rewriting the Rules of Endpoint Computing 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? /episode/index/show/techblogwriter/id/35879620

3221: IGEL on Securing the Edge with Zero Trust and Preventative Models 03/26/2025

3221: IGEL on Securing the Edge with Zero Trust and Preventative Models What if the next major leap in cybersecurity isn't a new tool but a smarter way to think about the edge? In this special episode recorded live at IGEL Now & Next 2025 in Miami, I sit down with John Walsh, Field CTO for Critical Sectors at IGEL, to unpack the changing face of endpoint security, the rise of zero trust, and the role of AI in shaping both threats and defenses. John brings a career’s worth of insight across aerospace, defense, and high-assurance systems to a conversation that covers the shifting threat landscape and how IGEL’s preventative security model is helping organizations reduce complexity while strengthening security. He explores the vulnerabilities introduced by hybrid work, BYOD environments, and the increasing reliance on AI models that interact with an enterprise’s most sensitive data. We dive into how zero trust is evolving from a marketing buzzword into a practical framework built on collaboration, unified management, and strong policy enforcement at the endpoint. John breaks down why zero trust isn’t a single product or checklist but an ecosystem of technologies and partnerships that need to operate together—securely and seamlessly. He also explains why endpoint security still matters, how most attacks still originate at the edge, and why IGEL’s immutable operating system is designed to shut down threats before they even begin. As AI-powered attacks accelerate, John also discusses the importance of reducing noise for incident response teams and the potential for AI to eventually move from defense to pre-emptive strike. If you’re leading cybersecurity in government, finance, manufacturing, or any sector with critical infrastructure, this conversation will give you a clearer view of where endpoint protection fits into a secure, cloud-connected, AI-augmented world. What are you doing today to make sure your organization’s edge is ready for tomorrow? /episode/index/show/techblogwriter/id/35868025

3220: IBM Consulting Unpacks The Great Tech Reset 03/25/2025

3219: Orange Business on Empowering the Factory Floor with AI and AR 03/25/2025

3219: Orange Business on Empowering the Factory Floor with AI and AR 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? /episode/index/show/techblogwriter/id/35662945

3218: Freshworks CEO Shares Why Speed and ROI Matter in AI Adoption 03/24/2025

3217: How Indeed.com Uses Research to Drive Strategic Action Across Teams 03/23/2025

3216: Rethinking Distributed Work with Atlassian's Teamwork Lab and People Insights Leaders 03/22/2025

3216: Rethinking Distributed Work with Atlassian's Teamwork Lab and People Insights Leaders 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? /episode/index/show/techblogwriter/id/35815885

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