Tech Talks Daily

After meeting on the IT Press Tour, I enjoyed a conversation with Michael Wu, President and General Manager of Phison US, about the revolutionary advances in AI-enabled storage technology. We begin by exploring Phison's AdaptivePlus platform and its integration with StoreOne's AI solution, making AI training more accessible and affordable for businesses. We also discuss the technical innovations behind their storage-based AI acceleration, including their new E28 controller and Pascari SSDs. Finally, we discuss the future of AI workloads and how Phison's technology is preparing to handle models with up to 2 trillion parameters. This episode is packed with insights for IT leaders, business executives, and anyone interested in the intersection of storage technology and artificial intelligence.

In a candid conversation with Zendesk CTO Adrian McDermott, it's become clear that enterprise AI has reached a pivotal moment. We're witnessing the end of AI theater and the emergence of practical platforms delivering real business value. "We're moving from chapter one to chapter two of the application of generative AI," McDermott explains. "It's not just party tricks anymore - it's platforms. And we're really building things that have value and meaning." The Rise of Platform Thinking The shift from isolated AI features to comprehensive platforms marks a significant evolution in enterprise technology. Companies are no longer satisfied with flashy demonstrations - they demand measurable outcomes and clear ROI. This transformation is evident in Zendesk's new resolution platform, which integrates multiple AI capabilities into a cohesive system. The New Economics of AI Implementation Zendesk has pioneered outcome-based pricing for AI agents in the customer experience industry - a significant departure from traditional seat-based pricing models. This approach aligns vendor success directly with customer outcomes. "You should really be able to run a model that would prove and predict the ROI upfront," McDermott notes, highlighting the increasing sophistication of AI implementation. Customers now expect vendors to demonstrate clear business value before deployment. Voice: The Critical Escalation Channel Despite predictions of voice's decline, it remains crucial in an AI-first world. McDermott explains: "In a world of automation, the escalation channel is voice, and you need it to be tightly integrated." The future of voice in customer service is being reimagined through: Seamless integration with AI systems Warm handoffs between digital and voice channels Enhanced context preservation across interactions Real-time analytics and support The Resolution Platform Framework Zendesk's resolution platform represents a comprehensive approach to customer service, incorporating: Customer-facing AI agents Agent copilot systems Automated content generation Continuous analysis and quality assurance Unified governance and measurement Looking Ahead: The iPhone Moment? McDermott poses a crucial question: "Are we building Windows Mobile on top of generative AI, or is there innovation and disruption to come?" This reflection suggests we're still in early stages, with significant disruption ahead. Key Takeaways Enterprise AI has matured beyond demonstrations to delivering measurable outcomes Platform approaches are replacing point solutions Voice remains critical in an AI-first service strategy Economic alignment between vendors and customers is essential Continuous innovation and adaptation are necessary The shift from AI theater to practical platforms marks a new era in enterprise technology. Organizations must now focus on building comprehensive, outcome-driven AI strategies rather than chasing individual features or capabilities.

As AI continues to dominate headlines and crypto continues to evolve behind the scenes, the real story may lie in their convergence. In this episode of Tech Talks Daily, I sat down with Dan Kim from Coinbase to discuss how these two technologies are shaping the future of digital commerce and development. Dan leads the Coinbase Developer Platform, a project focused on simplifying blockchain development for millions of developers worldwide. He shared how the platform abstracts away complexity through familiar SDKs and APIs, removing the need for deep blockchain expertise. This isn’t just about making it easier to code on-chain. It’s about opening the door for new kinds of applications, many of which are being driven by AI. We dug into the emerging concept of "agentic commerce," where AI agents can autonomously carry out transactions using blockchain infrastructure. These agents are now capable of acting on our behalf, making purchases and managing digital assets within defined parameters. This shift is already changing how developers think about building tools for e-commerce, travel, and digital services. Dan also discussed the evolving role of creators in this new landscape. Blockchain technology combined with AI is creating new ways to monetize content, build applications, and launch experiences without relying on traditional platforms. He even shared a personal example—his own AI-powered music project that turns complex crypto topics into relatable Top 40 tracks. From the reawakening of HTTP’s long-forgotten 402 payment code to the real-world implications of AI agents handling financial transactions, this conversation revealed just how quickly things are moving. For developers and business leaders alike, the fusion of AI and crypto is no longer speculative. It’s here, and it’s changing how we interact, build, and pay.

What happens when a customer service platform stops thinking like a vendor and starts operating like a partner? In this episode of Tech Talks Daily, I sit down with Andrew Lawson, EVP and GM for Zendesk Europe, to explore how the company is redefining the future of customer experience through AI, innovation, and a customer-first mindset. Zendesk may be a global name, but its European roots and strategic growth across the continent tell a story of evolution. From its founding in Copenhagen to becoming a powerhouse that supports over 100,000 customers globally, Zendesk has remained focused on one thing: being the best in customer service. Andrew and I unpack how this commitment translates into real-world outcomes, from faster resolution times to dynamic partnerships with top UK brands like Tesco, Next, and Liberty London. One of the standout themes of our discussion is the company’s investment in Agentic AI, designed to handle up to 80 percent of customer interactions while leaving high-touch cases to human agents. We also dive into Zendesk’s outcome-based pricing model, a shift that aligns success with resolution rather than licenses or agent seats. Andrew offers insights into why this change reflects a broader market expectation for ROI-driven platforms. We also touch on the company’s five acquisitions over the last 18 months, including Local Measure, and how these moves strengthen Zendesk’s capabilities in the CCAS space and deepen integrations with platforms like AWS Connect. As AI continues to shape customer and employee experiences, the conversation explores not just the technology but also the challenges, especially around execution, platform stability, and cybersecurity. So, what should business leaders be doing right now to balance rapid AI adoption with responsible deployment? How are enterprise expectations evolving in the face of economic pressure and customer demand? And what does it mean to lead in customer service when the rules are changing fast? Tune in to hear Zendesk’s perspective from the frontlines of transformation.

In a world where payments have evolved from a back-office utility into a strategic business driver, how do you build a platform that truly puts control back into the hands of merchants? On this episode of Tech Talks Daily, I sat down with Dwaine Thomas, CIO of PXP, to explore how the company is transforming the payment landscape with its next generation platform, PXP Unity. PXP has been a force in fintech for over 30 years, processing over €30 billion in payments annually for some of the world’s most recognised retail, hospitality, entertainment, and online gaming brands. But rather than rely on legacy systems, PXP has gone all in on greenfield development with PXP Unity, a fully API driven orchestration platform that enables merchants to plug into the services they need without the complexity of managing the entire payment stack. Dwaine walked me through how Unity empowers businesses with real-time data aggregation, smart routing, and complete transparency, all delivered through an intuitive interface. He also shared how the platform supports seamless scaling during high-demand periods, like Black Friday, and provides merchants with both control and automation to optimise payment performance across channels. What stood out was the clear shift in mindset. Sixty-four percent of merchants now view payments as a growth enabler, not just a necessity. With Unity, merchants gain the flexibility to adapt strategies on the fly, personalise the payment experience, and align payments with broader business goals. We also explored the growing role of AI in PXP’s roadmap, from driving development efficiencies to enabling future use cases like AI agents within payment flows. As regulation evolves, Dwaine highlighted how initiatives like the FCA’s AI sandbox point to a more proactive and structured approach to innovation in the payments space. So how can enterprises unlock new value from their payments infrastructure? How do you build for performance, resilience, and adaptability in equal measure? And what happens when payments become central to customer experience and brand loyalty? Tune in to hear how PXP is answering those questions with technology that is both powerful and practical.

What happens when you stop thinking of satellites as data collectors and start thinking of them as data analysts? That is precisely the shift we explore in today's episode of Tech Talks Daily with Michael Bartholomeusz, CEO of NOVI. Traditionally, Earth observation has relied on satellites to capture massive volumes of raw data, which is then transmitted back to Earth for processing. However, this model presents several significant challenges: cost, latency, and complexity. NOVI is flipping this model on its head. Instead of sending terabytes of data back down, their satellites analyze it in orbit and only transmit the results. That means smaller data packets, faster insights, and drastically reduced costs. Michael and I dig into how NOVI's space-based edge computing infrastructure is opening new opportunities in defense, agriculture, mining, and more. With multiple sensors onboard each satellite and a proprietary AI processing platform, NOVI enables organizations to fuse and process Earth observation data in real time. It is a shift from intelligence as a feature to intelligence as the foundation. We also discussed NOVI's evolving roadmap as it transitions from Department of Defense projects to a dual-use model that includes commercial services. Their commercial constellation is set to launch in early 2026 aboard SpaceX Transporter missions, and the company is already onboarding early adopters who are building custom inference models in preparation for this launch. What stands out in this conversation is NOVI's goal of democratizing Earth observation. Their open-access platform enables users to retain full ownership of their data, marking a significant departure from the closed systems that currently dominate the industry. Lower cost, faster processing, and open access could change who benefits from space data and how. So, what does it take to process AI in orbit? How do we reimagine satellites as part of the compute layer, not just the sensor layer? And what happens when access to real-time Earth intelligence becomes available to more than just governments and large enterprises? Listen in to find out.

Just two years ago, the launch of GPT-4 required the support of hundreds of experts, intensive computing power, and vast coordination. Today, that same process could be executed by a team of five. That is not an exaggeration. It is a signal of just how rapidly AI development is accelerating. In this episode of Tech Talks Daily, I’m joined by Gagan Tandon, Managing Director of AI & Data Services at TELUS Digital Solutions, to explore what is behind this extraordinary shift. From the evolution of AI chip design to the efficiency gains from smarter algorithms and open-source tools, Gagan offers a clear and grounded look at how AI training has become more accessible and less resource-intensive. But the bigger question is, what can we do with that efficiency? For Gagan, the answer lies in impact. Whether it is addressing bottlenecks in global supply chains, enhancing diagnostics in healthcare, or reducing fraud in financial services, these advances in AI development are not just theoretical. They are opening new doors for innovation across industries. We also explored how TELUS Digital Solutions supports enterprise transformation through its Fuel iX platform, which helps organisations transition from GenAI pilots to scalable, secure, ethical, and practical production systems. Gagan shared examples of how large-scale transformation can be approached with agility, especially when AI is aligned to specific business outcomes rather than simply layered on top of existing systems. This conversation goes far beyond model training. It is about what's next in AI operationalization, what business leaders should prioritize when it comes to adoption, and how to avoid common pitfalls as technology continues to evolve faster than many are prepared for. So how did we go from 300 engineers to five? What should enterprises be doing right now to take advantage of this momentum? And how can we make sure that efficiency does not come at the cost of responsibility? Join us as we explore the answers.

When I last spoke with Gaurav Kapoor five years ago, we were in the thick of a global pandemic. Remote work was still a novelty for many, AI was a distant concept for most businesses, and regulatory frameworks were trying to keep pace with the speed of technological change. Fast forward to today, and the conversation around AI and governance, risk, and compliance (GRC) has shifted dramatically. This made it the perfect time for a long-overdue catch-up. In this episode, I welcomed back Gaurav, Vice Chairman and Co-founder of MetricStream, to discuss the changing face of GRC in an AI-driven world. AI has now reached a level of ubiquity that places it alongside electricity and Wi-Fi as a foundational layer of both business and everyday life. But with that integration comes risk, and with risk comes the need for smarter, more adaptive governance. Gaurav shared how AI is no longer just about efficiency gains. It is becoming embedded into the fabric of enterprise risk frameworks, from real-time regulatory monitoring to predictive analytics and risk forecasting. We talked about the impact of the current political climate, including policy shifts following President Trump’s return to office and how deregulation narratives are colliding with the complexity of global compliance expectations. This was not just a theoretical discussion. Gaurav broke down real-world use cases that show how large enterprises are navigating everything from redundant compliance testing to emerging threats discovered through AI-driven analysis. He also spoke candidly about the challenges ahead, how companies can fall behind if they wait too long to modernize their frameworks, and what is at stake when they fail to build trust into their AI systems. So how do you evolve GRC in an age where the pace of change is relentless? What role does AI really play in risk leadership today? And how can companies move from reactive to proactive without losing control? Join me as we explore the next chapter of GRC with one of its leading voices.

In today’s episode of Tech Talks Daily, I sat down with Matt Dawes, Head of Enterprise Sales at HALOS, to explore the fast-moving world of security technology and how body-worn cameras are rapidly transforming the way businesses approach accountability, staff safety, and incident response. HALOS is rethinking body-worn video with a fresh approach that doesn’t stop at hardware. From their subscription-based service model to a real-time AI-powered backend system, their tech stack is designed to meet the growing demands of both frontline teams and the organizations supporting them. During our conversation, Matt shared how the company’s origins during the COVID-19 period shaped its purpose and culture and how it has scaled across the UK, Ireland, and the US following its Series A funding in early 2024. We explored how HALOS uses AI for proactive threat detection and fall detection, which is still under development, and how their cloud-based platform, Bolt, plays a critical role in evidence management and seamless integration with broader security ecosystems. Matt also shared insights into how their system is already making an impact in sectors such as retail, where the focus isn’t solely on theft prevention but also on ensuring frontline workers feel supported and protected against a backdrop of increasing aggression and workplace incidents. One of the standout aspects of the conversation was HALOS’ pricing model, which offers all features, including panic alerts and live streaming, under one monthly subscription. This structure eliminates the hidden costs that often hinder full deployment, allowing clients to scale their coverage without compromise. So, how is the security technology space evolving? What role does AI play in improving situational awareness? And how can tech leaders ensure their investment protects people on the ground? Please tune in to hear how HALOS is positioning itself at the intersection of innovation and frontline security.

How do we bridge the skills gap in UK manufacturing while pushing the boundaries of automation technology? In this episode of Tech Talks Daily, I sit down with Mark Gray, UK and Ireland Country Manager at Universal Robots, to explore how collaborative robots, or cobots, are rewriting the rules for companies big and small. Universal Robots, founded by three university professors in Denmark about twenty years ago, brought the world its first cobot and recently celebrated a landmark achievement with the sale of its 100,000th unit worldwide. Mark unpacks how this milestone reflects a shift in how industries from aerospace to pharmaceuticals now approach automation. He shares how the company’s easy-to-deploy cobots help tackle the tasks that many workers prefer to avoid, focusing on the dirty, dangerous, and repetitive jobs, freeing human talent for higher-value work. But this conversation goes deeper than robot arms on production lines. Mark’s passion lies in addressing the UK’s well-documented skills shortage, a topic that resonates with manufacturers across the country. He explains why Universal Robots is investing in free technical training courses for apprentices, aiming to equip young people with practical robotics skills and inspire fresh interest in engineering and manufacturing careers. Based in Sheffield, Mark also reveals how the city’s industrial heritage and its connections with institutions like the Advanced Manufacturing Research Centre help nurture a vibrant robotics ecosystem, attracting startups and fostering local innovation. We discuss the growing adoption of cobots by small and medium-sized enterprises, the impact of labour shortages on automation strategies, and how businesses can begin their journey without overhauling entire production lines at once. From practical roadshows to free line-walk audits, Mark outlines the resources available for any company curious about automation. Whether you’re a manufacturing leader looking for ways to future-proof operations or a young listener intrigued by robotics as a career, this episode shows how thoughtful investment in skills and technology can shape a more productive and resilient future for the UK and beyond. Could cobots be the missing link between today’s workforce challenges and tomorrow’s manufacturing success? Let’s find out. Here’s the link to the Kraftwerk video

How do you keep complex digital experiences running smoothly when every layer, from networks to cloud infrastructure to applications, can break in ways that frustrate customers and burn out IT teams? This question is at the heart of my conversation recorded live at Cisco Live in San Diego with Patrick Lin, Senior Vice President and General Manager for Observability at Splunk, now part of Cisco. In this episode, Patrick explains how observability has evolved far beyond simple monitoring and is becoming the nerve centre for digital resilience in a world where reactive alerts no longer cut it. We unpack how Splunk and Cisco ThousandEyes are now deeply integrated, giving teams a single source of truth that connects application behaviour, infrastructure health, and network performance, even across systems they do not directly control. Patrick also shares what these two-way integrations mean in practice: faster incident resolution, fewer blame games, and far less time wasted chasing false alerts. We explore how AI is enhancing this vision by cutting through the noise to detect real anomalies, correlate related events, and suggest root causes at a speed no human team could match. If your business depends on staying online and your teams are drowning in disconnected data, this conversation offers a glimpse into the next phase of unified observability and assurance. It might even help quiet the flood of alerts that keep IT professionals awake at night. How is your organisation tackling alert fatigue and rising complexity? Listen in and tell me what strategies you have found that actually work.

What happens when education stops being about a rigid curriculum and starts focusing on what genuinely sparks a child’s curiosity? This question sits at the heart of my conversation with Amir Nathoo, the founder and CEO of Outschool, a fast-growing online learning platform now trusted by over a million families worldwide. In this episode, Amir shares the personal journey that inspired him to challenge the tired one-size-fits-all approach still dominant in classrooms today. We explore how Outschool’s unique mix of small group of live classes, diverse topics, and independent educators is giving children the freedom to pursue what excites them most — whether that’s coding through Minecraft, exploring anatomy in the quirkiest ways imaginable, or tackling future-focused skills that schools often ignore. We also examine the broader shifts driving parents to supplement or even replace traditional schooling. From the rise of unschooling and passion-led learning to the potential (and limits) of AI tutors, Amir paints a picture of what more flexible, personalised education could mean for the next generation’s readiness for jobs that don’t even exist yet. If you’ve ever questioned whether the current system is enough to prepare your kids for the world they’ll inherit, this one’s for you. How do you see the balance between human teachers and AI shaping up in education? Join the conversation and let me know your thoughts.

How do you measure success when your AI is learning faster than your own business processes can keep up? That’s the question I set out to answer in my conversation with SparkBeyond, a company that has spent the past decade transforming how enterprises harness AI. From crawling GitHub code in a modest garage experiment to driving measurable performance gains for global firms, SparkBeyond has charted a path that mirrors the rapid evolution of AI itself. In this episode, I explored how their focus has shifted from discovering hidden performance drivers in customer data to building agentic AI systems that actively close feedback loops and optimize themselves continuously. SparkBeyond brings the rigor of operational excellence into the world of AI agents, a space still notorious for inefficiencies and inconsistent results. Agentic AI isn’t just the next shiny term; it represents a practical step forward from passive prediction to autonomous decision-making. Listening to examples like automated troubleshooting for large consumer electronics companies made it clear that this technology is already reshaping daily operations that once consumed countless human hours. We also dug into the realities behind the hype. While some companies have scaled back their experiments, SparkBeyond stays grounded by tying every agent’s performance to the same KPIs a human would carry, providing clear ROI and minimizing guesswork. Sagie Davidovich shared thoughtful insights into why verifiability determines where agents thrive first. Digital tasks, high-frequency work, and software development stand out as the front runners. It’s hard to argue when you see the rise of coding assistants transforming entire workflows at breakneck speed. But the conversation didn’t shy away from the challenges either, from handling biases baked into LLMs to the obstacles of applying agents in the physical world. SparkBeyond’s upcoming open-source agent optimizer promises to accelerate adoption while keeping the human benchmarks in sight. This episode gave me a front-row seat to the next frontier of AI where systems aren’t static but in a constant state of learning and improvement. If your organization still treats AI like a bolt-on experiment, this discussion may push you to rethink how deeply it should be woven into your daily operations. How ready is your business for an AI that never stops optimizing?

In this episode of Tech Talks Daily, I sit down with Jim Douglas, CEO of Instabug, to unpack the hidden world of mobile app development and the hurdles developers face every time you tap an icon on your phone. Mobile apps live in unpredictable conditions, surrounded by millions of device variations and users who are quick to abandon any app that fails to deliver a flawless experience. Our discussion begins with a deep dive into why mobile apps remain so vulnerable to user churn. Jim shares a striking figure that 56 percent of users will delete an app after a single crash, a statistic that keeps many developers up at night. He explains how Instabug’s platform provides a layer of mobile observability powered by AI, which helps catch problems early and offers real insights into how real people interact with apps. Instead of guessing why a user is frustrated, developers gain clear visibility through session replays and in-app surveys that reveal what KPIs alone cannot show. Jim also outlines how Instabug aims to push mobile development into a future where self-healing apps become reality. He describes Smart Resolve, a feature that already helps automate issue resolution, marking a first step toward a world where apps can detect and fix their own bugs. This evolution frees up development teams to invest their energy in innovation rather than repetitive troubleshooting. We look ahead to upcoming changes in the mobile ecosystem, touching on expectations for iOS 19, improvements in power management using AI, and the possibility that voice interfaces will soon play a bigger role in how we interact with our phones. This conversation is a must-listen for anyone building or using mobile apps who wonders why some apps feel polished while others crash and burn. Are self-healing apps closer than we imagine, and how will that reshape the daily work of developers and the experiences we all take for granted? Join us to find out.

How are small businesses influencing the future of financial technology at a scale few can match? In this episode, I sit down with Jameson Trautman, Head of Product for Small Business at Chase for Business. With two decades shaping payment solutions for entrepreneurs, he opens up about how a team inside one of the largest financial institutions stays flexible enough to build smarter tools, quicker payments, and more practical customer insights while serving millions of small business owners across the country. What I found particularly interesting was how Chase for Business keeps innovation moving without disrupting the stability its clients expect. Jameson pulls back the curtain on how phased testing and piloting help fine-tune new products, ensuring they truly solve day-to-day challenges before reaching a national audience. He talks through the fine line between empowering owners with rich data and overwhelming them with information that does little to drive better decisions. We also explore the development of Chase’s customer insights platform and how it shifts from static reports to timely, useful signals that guide business owners through cash flow hurdles and growth opportunities. Jameson highlights the real-world use of artificial intelligence, sharing where it lifts weight off small businesses and where human judgment still plays a key role. Another compelling part of our conversation is the candid discussion about fraud prevention and why smarter authentication must protect customers without blocking their vital operations like payroll and supplier payments. Jameson’s explanation shows how balancing risk management with speed has become a daily focus for product teams handling payments at scale.

When did you last pause to consider what it takes to turn daring ideas from a lab into reality? In this episode of Tech Talks Daily, I spend time with Mike Otworth, Executive Chairman of Innventure, whose career reveals what happens when breakthrough technology leaves the safety of research and collides with real-world demands. Mike's view offers an honest look at what changes when you match influential inventions with a team that moves quickly and welcomes a little discomfort. We begin with Mike's unexpected transition from working on Capitol Hill to joining a group of brilliant scientists in Florida. That twist of fate shaped his life's direction and planted the seed for what later became Innventure. He explains how they tackle a problem that many overlook: big companies often create advanced solutions but lack the speed or drive to launch them effectively. His answer was to build an organization that runs on agility, quick learning, and a firm belief that course corrections are normal, not failures. One idea that sticks is what Mike calls "adaptive strategic positioning." In plain English, it means leaders must remain flexible and innovative enough to adjust their direction as soon as reality reveals something new. For founders juggling investors and product timelines, this can feel uncomfortable, yet it remains a necessary task. He also shares why he looks for "athletes" rather than box-ticking hires. For Mike, mindset beats a perfect CV every time. He seeks individuals who bring determination, resilience, and an appetite for new challenges, regardless of their starting point. We also explore how team culture can't be built with beanbags and table football alone. Real innovation teams keep an eye on the big goal and value shared wins more than individual credit. Mike also discusses giving every team member a stake in the outcome, ensuring everyone rows in the same direction. He gives a heartfelt nod to Dr. John Scott, a mentor whose sharp mind and honest opinions shaped his knack for spotting which tech has a chance in the market. This episode is more than another story of startup life. It's a clear window into how leadership must evolve as a company grows from a scrappy experiment to a trusted player. Mike's reflections on when to step back and let new leaders steer add a layer of honesty that many founders rarely share. If you enjoy hearing how a few bold decisions can ripple through entire industries, this chat offers plenty to chew on. Expect thoughtful lessons about courage, flexibility, and what it takes to build a company where every person is trusted to run with an idea and find a way forward. For anyone curious about early-stage success beyond the headlines, settle in and hear how Mike and Innventure prove that speed, trust, and the right people still matter most.

In this episode of Tech Talks Daily, I sit down with Nathan Thomas, Head of Product at Ricoh Design Experience, who oversees innovation across Ricoh Europe. Nathan joined me to unpack new findings from Ricoh’s study of thousands of workers and business leaders across Europe. We discussed why some countries are advancing in terms of workplace productivity while others struggle to keep pace. Spain, for example, stands out for its high productivity, which Nathan attributes to cultural changes and experiments, such as shorter working weeks and a stronger focus on employee well-being. Meanwhile, the UK and Ireland lag, with many companies still relying on legacy systems and being slow to adopt new work habits. Nathan highlighted that only about a quarter of UK employees feel adequately equipped to work together efficiently, a statistic that raises fundamental questions about how businesses can better support their people. Our conversation turned to the slow progress many companies face in embracing AI and automation. Nathan explained that uncertainty and poor understanding of how these tools work remain huge roadblocks. He emphasized that real results emerge when companies have a plan, not just when they plug in a tool without considering how it integrates with their data and workflows. T This is where Ricoh aims to help by providing a complete workplace platform that goes far beyond what people still assume about Ricoh and its legacy as a print company. Nathan described how Ricoh Spaces brings together workplace management, process automation, sensor technology, and more into one connected experience that helps people work smarter and stay focused. What stood out for me was Nathan’s approach to staying informed. He spoke about watching full-length talks online, listening to audiobooks, and reading broadly to keep ideas fresh. His mindset demonstrates how curiosity can inform better decisions, especially in an era of rapidly changing technology. If you're trying to tackle productivity challenges in your workplace, this episode offers real insights into what holds teams back and what might propel them forward. After hearing from Nathan, I am even more convinced that culture, clear plans, and openness to new ways of working can transform any workplace. How prepared is your company to take that next step?

When was the last time you truly paused to consider how far artificial intelligence has come and where it’s heading next? On today’s episode of Tech Talks Daily, I dive into this fast-moving frontier with Mo Cherif, Vice President of Generative AI and Innovation at Sitecore. This conversation explores what 2025 holds for agentic AI and why this technology is poised to completely reshape the marketing landscape. Agentic AI isn’t just an iteration of automation; it’s a rethinking of how AI can operate independently, plan, reason, and collaborate with humans to create experiences that are more tailored and impactful than ever before. In our chat, Mo shares how Sitecore, in collaboration with Microsoft, has launched the Martech industry’s first AI Innovation Lab, an ambitious initiative designed to give marketers a real-world playground to prototype and validate AI-driven solutions without the fear of wasted time or sunk cost. As Mo explains, so many marketing teams are eager to embrace AI but hesitate when it comes to proving ROI and finding the right entry point. The Lab strips away that uncertainty by pairing businesses with experts and offering a safe, agile space to experiment and co-create. We unpack how agentic AI is transforming traditional customer journeys into instant, hyper-personalized interactions. Picture a world where a single conversation with a chatbot handles discovery, decision-making, and purchase, all while retaining every piece of context for a seamless experience. Mo explains why context and governance are critical pillars that organisations need to master to harness this new era of AI without compromising brand integrity. Mo also paints a picture of the future where AI co-pilots are not an add-on but an integral part of daily workflows, taking the tedious tasks off human plates and freeing teams to focus on innovation, storytelling, and strategy. It’s a future where businesses don’t just talk about digital transformation, they live it, powered by AI that works alongside humans, not in their place. If you’ve been wondering how to start your own journey with agentic AI, this conversation offers practical insights and a glimpse into Sitecore’s vision of brand-aware, goal-driven AI. How ready is your organisation to rethink its content operations and customer engagement for this new reality? Tune in and ask yourself, are you prepared to lead in the age of agentic AI?

Recorded amidst the buzz of the IT Press Tour in Palo Alto, this episode explores the evolving world of data intelligence through a candid conversation with Amanda R. Lee, Vice President, Marketing Analyst & Public Relations, DDN. Sitting under the California sun, I had the opportunity to unpack how DDN is helping some of the most data-intensive organizations navigate massive volumes of information while transforming raw data into real-time insights that power breakthroughs in AI, autonomous driving, healthcare research, and financial services. Throughout our chat, we tackled the convergence of AI, edge computing, and smart infrastructure, a theme that stood out prominently at Dell Technologies World and echoes DDN’s longstanding vision. What fascinates me is hearing how the industry is finally aligning with a reality that companies like DDN have been addressing for years. Amanda Lee offered vivid examples of how infrastructure stories connect directly to human impact, whether it’s accelerating life-saving medical research, enabling fraud detection at lightning speed, or supporting climate models that help us better understand our world. We also explored the human side of innovation. Amanda’s passion for lifting women in tech shines through as she shares actionable steps leaders can take to transform mentorship into meaningful sponsorship, ensuring representation translates into voice and value within organizations. She also opens up about how AI has become her creative co-pilot across PR, social, customer advocacy, and investor relations. Her perspective on blending AI’s speed with human nuance reminds us that while technology keeps evolving, genuine communication still hinges on empathy, context, and authenticity. Finally, in a world where data sovereignty and trust are front-of-mind, especially in Europe. Amanda outlines how DDN balances performance with protection to earn customer confidence.

How can organizations protect their most valuable asset, data, while harnessing its true potential through AI-driven insights? These are the questions I set out to answer on the recent IT Press Tour in Silicon Valley. In my latest conversation at the Santa Clara offices of Cohesity, I sat down with Sanjay Poonen, President and CEO, to discuss how this company has positioned itself at the heart of the AI era with a modern data cloud built for speed, security, and intelligence. From my early days interviewing Cohesity’s technical minds to now hearing directly from Sanjay about the company’s transformation, it is clear that Cohesity’s mission to shield, manage, and unlock data value is gaining momentum like never before. This episode takes you deep into the company’s evolution. We explore how Cohesity started by reinventing traditional backup and recovery, then scaled through bold leadership, culminating in its significant acquisition of the NetBackup business from Veritas. Sanjay walks me through how this move instantly propelled Cohesity to market leadership in data security and cyber resilience, serving over 13,000 organizations worldwide across various sectors, including healthcare, finance, government, and retail. We also examine how Cohesity is using AI not only to help clients recover from cyber threats but to mine vast troves of live and backup data for powerful, real-time business insights. Sanjay explains the partnership with NVIDIA and how Cohesity’s patented retrieval augmented generation capabilities are setting new benchmarks for generative AI applications within backup environments. For businesses grappling with data sovereignty and the increasing return to on-premises solutions, Sanjay shares how Cohesity’s innovations balance local compliance requirements while leveraging cloud agility. What resonated most with me was Sanjay’s candid perspective on leadership during rapid growth and mergers, from uniting thousands of employees under a shared culture to maintaining a relentless customer-first mindset. If you have ever wondered how a company can become a real force in both AI and cybersecurity, this conversation is filled with insights, real-world examples, and a clear vision for how Cohesity plans to shape the next generation of data management. Are you ready to rethink how your organization secures and activates its data in an AI-driven future? Tune in and discover what lies ahead on this data-powered journey. Listener Notes Here is a link to the 5-minute video that Sanjay referenced in our conversation. https://www.youtube.com/watch?v=xrKdyaWpIG4