Podcasts about tech talks daily

What does it mean to own something in a world where everything is digital? In this episode of Tech Talks Daily, I sit down with Ian Rogers, Chief Experience Officer at Ledger, to unpack the growing importance of digital ownership in the age of AI, blockchains, and digital identity. With more than 6 million devices sold and 20 percent of the world's crypto secured, Ledger has become a trusted name in both consumer and enterprise digital asset security. But this conversation goes far beyond crypto wallets. Ian explains why self-custody matters, how Ledger devices actually work, and what separates them from traditional custodial models. "Giving people the ability to securely own their own digital private property is fundamentally what we're all about," Ian says, breaking down a complex topic in a way that's both clear and urgent. We also talk about the convergence of AI and blockchain, the risks of relying on cloud-based security, and why digital proof and provenance are becoming essential in our online lives. Whether you're just starting out or already immersed in Web3, this is a conversation that connects the dots between identity, security, and personal empowerment. What does responsible digital freedom look like? And are you ready to take ownership? I'd love to hear what you think. Get in touch and let me know what digital ownership means to you today.  

In this episode of Tech Talks Daily, I speak with Samit D'Cunha, a legal advisor at the International Committee of the Red Cross (ICRC), about the innovative Digital Emblem Project. For over 160 years, the Red Cross emblem has symbolized protection in conflict zones, designating medical and humanitarian organizations as safe from attack. Now, as warfare increasingly extends into cyberspace, the ICRC is developing a digital version of this emblem to provide the same legal protections for online infrastructure. We examine the increasing frequency of cyberattacks on hospitals and aid organizations during armed conflict, and why the Digital Emblem is more crucial now than ever. Samit explains the technical side of the project, including the use of cryptographic certificates and DNS systems to ensure global, decentralized protection. He also discusses the importance of legal recognition and trust-building across governments, tech companies, and humanitarian sectors. As the digital battleground expands, this emblem could play a crucial role in safeguarding lives and ensuring that humanitarian operations continue uninterrupted. We also explore the challenges of implementing this system without increasing organizations' vulnerability, and why support from over 100 tech companies and states is crucial for its success. If you're interested in the intersection of cybersecurity, law, and humanitarian efforts, this is a conversation you won't want to miss.

In this episode of Tech Talks Daily, I'm joined by Glen Shok, VP of Product Marketing at Panzura, for a detailed look into how the company is rethinking hybrid cloud storage with the release of CloudFS 8.5 Adapt. CloudFS 8.5 isn't just another update. Built in direct response to customer feedback, it introduces powerful new features like Instant Node and Regional Store that redefine performance, availability, and business continuity. Instant Node allows failed systems to be replaced or migrated in under five minutes.  Regional Store brings high-speed data access closer to end users around the world while reducing latency and cloud egress costs. As Glen explains, the latest release meets the growing demand for flexibility in the face of geopolitical uncertainty, rising cloud costs, and evolving IT infrastructure. Panzura is helping organizations maintain uptime, protect data, and adapt quickly, whether moving away from VMware or modernizing a global IT footprint. CloudFS 8.5 Adapt enables this without forcing customers to compromise on control, performance, or security. We also explore how Panzura's vision for autonomic data infrastructure is becoming a reality. With every CloudFS node sharing full configuration metadata, new nodes can spin up almost instantly. AI plays a central role here too. Through Panzura Data Services, AI tracks behavioral anomalies to detect early signs of data exfiltration, ransomware, or internal threats. This provides not just alerts, but the ability to interdict and isolate risky behavior in real time. Looking ahead, Glen shares how Panzura is preparing to support AI workloads directly where unstructured data lives. Instead of migrating terabytes to external platforms, organizations can train language models in place, reducing cost and complexity. With features like enhanced RBAC, native Entra ID support, and a virtual data lake model on the horizon, Panzura is clearly positioning itself at the intersection of enterprise storage and AI innovation. If you work in cloud infrastructure, cybersecurity, data governance, or AI deployment, this episode offers practical insights into the challenges IT teams face today and the technologies that are solving them.

In this episode of Tech Talks Daily, I am joined by Scarlett Sieber, Chief Strategy and Growth Officer at Money20/20, to explore the key trends shaping finance's future. As Money20/20 Europe celebrates its 10th anniversary, Scarlett provides a detailed preview of what we can expect from this year's event, bringing together over 8000 senior industry leaders to discuss the evolving landscape of fintech, regulation, and technology. Money20/20 Europe is not just a conference. It is a critical platform for addressing the big questions about where money, tech, and regulation are headed. Scarlett highlights the growing collaboration between traditional banks and fintech companies, calling it the "golden era" of partnerships. This shift drives innovation, and we discuss how these partnerships are evolving to enable more personalized, efficient financial services for businesses and consumers alike. A significant focus of our conversation is the rise of stablecoins, which are transforming cross-border payments in ways similar to how the internet changed the telecom industry. We talk about the regulatory challenges that need to be addressed to fully harness their potential and ensure their adoption on a global scale.  Scarlett also shares insights into how AI revolutionizes financial services, enabling more intelligent, automated solutions while raising important questions about trust, data privacy, and security. We also discuss the impact of the UK's post-Brexit regulatory flexibility, with Scarlett explaining how this presents a unique opportunity for the UK to lead in fintech innovation. However, she points out that policy execution must keep pace with technological advancements. Tune in for a conversation about the future of fintech and a timely preview of Money20/20 Europe, where innovation and regulatory discussions will define the next wave of financial services.

In this episode of Tech Talks Daily, I'm joined by Chase Garbarino, Co-Founder and CEO of HQO, a company reimagining the way commercial real estate connects with its occupants. From digital keycards to IoT-enabled spaces, HQO is building the operating system for real estate, already active across 250 million square feet in 24 countries. We explore how commercial real estate, once known for its slow adoption of technology, is finally undergoing rapid transformation. Chase shares the story behind HQO's creation, the drive to modernize the built environment, and why he believes cities are humanity's greatest product. He outlines how hybrid work, flexible leases, and higher user expectations have pushed property owners to rethink what a workplace should offer. But this isn't just a tech story. It's about connection. Chase reveals how HQO is helping create meaningful experiences through digital tools that serve every type of building user, not just those paying the rent. From commute integration to smart access, amenity bookings to workplace engagement, HQO's platform is designed to be both invisible and impactful. We also learn about the Quantum City Initiative, a new effort from HQO and MIT to help existing cities leap forward with shared learnings, digital infrastructure, and civic innovation. It is not about tearing cities down and starting from scratch. It is about helping them adapt, thrive, and compete in a connected world. Chase closes by sharing one of his favorite stories: how a shoe company, a beer company, and a 3D printing firm all found community inside an HQO-powered building. These companies collaborated, socialized, and created something no one could have planned, all because the tech enabled real people to meet. If you are curious about how smart buildings are becoming more human or how data and design can shape a more connected future, this conversation will spark new ideas.

What happens when AI reshapes intellectual property, and decentralized storage rewrites data sovereignty? In this episode of Tech Talks Daily, we explore that intersection with a deep dive into the work of StorX Network, a platform rethinking cloud storage from the ground up. Our guest joins from StorX, a decentralized cloud storage network designed with privacy, security, and user empowerment at its core. At a time when data privacy is eroding and centralized providers are struggling to keep pace with evolving threats, StorX offers a radically different approach. Their system encrypts data using the user's private passphrase, fragments it into smaller pieces, then distributes multiple copies across a global network of autonomous nodes. The result? A storage solution that is trustless, censorship resistant, and economically more efficient, often cutting costs by up to 90 percent compared to traditional providers. We discuss how StorX is positioning itself in a world increasingly concerned about surveillance, ransomware, and digital control. Much like AI is forcing conversations around copyright and ownership, decentralized storage is surfacing urgent questions around who controls data and how it's accessed. This episode is not just about technology, it's about the philosophical shift in how we think about trust, control, and freedom in digital spaces. We unpack why decentralized architecture matters, how privacy-preserving systems can scale, and where innovation is heading next. If you're building applications or storing sensitive data, this is a conversation worth tuning in for. Because as digital life becomes more complex, where and how we store our information will define what kind of internet we want to live in. Want to hear more stories at the intersection of privacy, decentralization, and innovation? Subscribe and stay tuned.

What happens when the world's most powerful AI systems are measured by the same yardstick? In this episode of Tech Talks Daily, I spoke with David Kanter, Founder and Executive Director of MLCommons, the organization behind MLPerf, the industry's most recognized benchmark for AI performance. As AI continues to outpace Moore's Law, businesses and governments alike are asking the same question: how do we know what “good” AI performance really looks like? That's exactly the challenge MLCommons set out to address. David shares the story of how a simple suggestion at a Stanford meeting led him from analyst to the architect of a global benchmarking initiative. He explains how MLPerf benchmarks are helping enterprises and policymakers make informed decisions about AI systems, and why transparency, neutrality, and open collaboration are central to the mission. We explore what's really driving AI's explosive growth. It's not just about chips. Smarter software, algorithmic breakthroughs, and increasingly scalable system designs are all contributing to performance improvements far beyond what Moore's Law predicted. But AI's rapid progress comes with a cost. Power consumption is quickly becoming one of the biggest challenges in the industry. David explains how MLCommons is helping address this with MLPerf Power and why infrastructure innovations like low-precision computation, advanced cooling, and even proximity to power generation are gaining traction. We also talk about the decision by some major vendors not to participate in MLPerf. David offers perspective on what that means for buyers and why benchmark transparency should be part of any enterprise AI procurement conversation. Beyond the data center, MLCommons is now benchmarking AI performance on consumer hardware through MLPerf Client and is working on domain-specific efforts such as MLPerf Automotive. As AI shows up in smartphones, vehicles, and smart devices, the need for clear, fair, and relevant performance measurement is only growing. So how do we measure AI that is everywhere? What should buyers demand from vendors? And how can the industry ensure that AI systems are fast, efficient, and accountable? Let's find out.

In this episode of Tech Talks Daily, Neil is joined by Jose Soto, VP of Engineering at Converge Marketing, to discuss how data democratization transforms performance marketing. Jose highlights a common bottleneck in marketing where engineering teams act as the data gatekeepers, often slowing down marketing efforts. He explains how empowering marketers with self-service access to data through intuitive platforms speeds up decision-making and drives measurable growth for brands. Jose talks about how Converge has broken down data silos by creating clean data pipelines and user-friendly tools that allow non-technical users to interact with data confidently. Instead of relying on engineers, marketing teams now have the freedom to access data, build reports, and analyze trends in real-time. This shift has led to improved agility, better collaboration, and faster campaign optimizations. The conversation also explores the impact of AI and machine learning on marketing. Jose discusses how these technologies are helping marketers make more precise, data-driven decisions by enabling predictive analytics, optimizing creative messaging, and even automating campaign management. As AI continues to evolve, marketing teams can make more informed decisions with greater accuracy. For businesses aiming to stay ahead in the ever-changing marketing landscape, this episode offers valuable insights on empowering teams, streamlining operations, and leveraging data to foster growth. Listen in to discover how Converge is breaking down data barriers and preparing for the future of AI-powered marketing.

On this episode of Tech Talks Daily, I sit down with Gene Hoffman, CEO of Chia Network, to explore a bold new vision for digital assets, investing, and regulatory-compliant blockchain innovation.  While much of the blockchain space has struggled with regulatory clarity, Chia has taken a different path, working closely with the SEC and other regulators to ensure long-term viability for the network and its applications. With a groundbreaking joint venture called Permuto, Chia is pushing that vision even further. Permuto is set to tokenize equity investments directly on Chia's independent layer-1 blockchain. The first application? Microsoft stock.  However, rather than simply offering a digital replica of a share, the platform will divide each into separate dividend and growth certificates. This new level of granularity can reshape the way institutions and individuals think about risk, returns, and liquidity. It's particularly relevant for low-risk investors and retirees looking to isolate stable dividend income without exposure to market volatility tied to growth stocks. Gene explains how this innovation could signal the next evolution of ETFs, offering flexible investment structures powered by blockchain. He also shares why Chia's commitment to open-source technology and green consensus mechanisms has allowed it to attract serious institutional interest without compromising principles. We also discuss Gene's participation in the SEC's upcoming Crypto Task Force Roundtable, where industry leaders will explore the convergence of traditional and decentralized finance. With deep ties to the crypto community and regulatory institutions, Gene offers a rare perspective on how to scale new financial tools in today's regulatory environment responsibly. Can blockchain finally deliver on its promise of transforming capital markets in a transparent, compliant, and useful way to everyday investors? Let's find out.  

When cybersecurity companies are racing to outpace evolving threats, innovation often starts in an unexpected place: revenue operations. In this episode of Tech Talks Daily, I sit down with John Queally, Senior Director of Revenue Operations at Clari, to explore why RevOps has become a vital engine behind the performance and resilience of cybersecurity leaders. John brings a unique perspective from his journey through banking, analytics, and enterprise tech. What stands out is how rapidly the RevOps function has matured from a back-office support role to a central, strategic force. Especially in the cybersecurity space, where innovation requires ongoing investment and risk is measured in seconds, the pressure to run efficient, scalable revenue processes has never been greater. We delve into why clean, trusted data is the backbone of any AI strategy and how 67% of revenue leaders still don't trust the data they're using. It's a staggering insight, and one that underscores the urgent need for cross-functional alignment. John explains how RevOps can serve as the connective tissue across sales, marketing, customer success, and finance, moving companies from a place where they're debating the accuracy of dashboards to making real decisions in real time. He also shares a behind-the-scenes look at Clari's work with cybersecurity firms like Okta, where implementing balanced pipeline strategies and streamlining task prioritization has unlocked measurable improvements. We discuss the rise of AI, but John doesn't just repeat industry headlines. He calls out the "unsexy" truth that real AI advantage requires the hard work of data cleanup first and those who do it will pull ahead. From operational transparency to building trust within revenue teams, this episode challenges assumptions about how data, AI, and RevOps intersect. And for anyone in cybersecurity or enterprise tech wondering how to scale effectively while preparing for what's next, this conversation offers a grounded and insightful starting point. Is your company still debating data? Or are you ready to turn trusted insights into action?

In today's episode of Tech Talks Daily, I sat down with Bulent Cinarkaya, General Manager of Field Service Management at ServiceNow, to explore how AI is transforming the frontlines of field service. Often overlooked in the broader tech conversation, the technicians working outside the office are now seeing real, tangible improvements to their daily workflows thanks to advancements in intelligent automation. Bulent brings a wealth of knowledge from working closely with global organizations that rely on ServiceNow to improve how they plan, dispatch, and support field teams. We talked about how agentic and generative AI are no longer theoretical tools; they are actively used to predict what technicians will need before arriving, automate access to resources, and reduce inefficiencies in task planning. One of the most compelling parts of our conversation was how ServiceNow is using AI to improve productivity and enhance the human experience. From easing the onboarding of new technicians to capturing decades of experience from retiring experts, AI is helping teams bridge a generational gap in expertise. Technicians can now rely on intelligent systems to surface the correct information at the right moment, whether through summarizing technical documents or guiding them through complex tasks. We also discussed the operational impact, with examples from customers like Bell Canada, Coursera, and British Telecom, who are seeing measurable improvements in scheduling accuracy and time to resolution. Bulent stressed the importance of unified data models, integrated platforms, and strong change management as organizations look to scale AI to ensure adoption and success. This episode is a wake-up call for anyone still on the fence about AI in field service. AI is not only improving technician efficiency, but it's also helping companies retain talent, meet rising customer expectations, and ultimately future-proof their operations. So, how ready is your organization to move beyond proof of concept and turn AI into a field-ready advantage?          

Holography has long lived in the shadow of science fiction, but what happens when it's finally real  and ready for the consumer market? In this episode recorded at Tech Talks Daily, I sit down with Darran Milne, co-founder and CEO of VividQ to unpack what sets true holography apart from the gimmicks. With a background in quantum physics and years of technical leadership, Darran cuts through the noise around immersive display technologies and explains how VividQ is building real holographic experiences — not tricks of the eye, but accurate 3D projections that replicate how we naturally see the world. Darran walks us through the technology powering their recent demo with Call of Duty, showing that VividQ's tech isn't just theoretical. It runs on today's hardware and can convert existing 3D content into holograms without access to the original source code. That changes the game for entertainment, but it's only the beginning. We explore where else this could lead: head-up displays in cars that genuinely blend digital directions into the driver's view, medical devices that eliminate the need for separate testing rooms, and even the idea of holography replacing traditional screens entirely. Darran doesn't just speculate on the future — he outlines a practical, layered rollout strategy, identifying the industries where the technology can scale first. This isn't about chasing hype. It's about thoughtful engineering and commercial execution. If your business touches gaming, automotive, spatial computing, or XR, this conversation shows why holography may be closer than you think — and how VividQ plans to put it in front of you. Could your next screen be light itself?

What if companies could tap into powerful behavioral AI without compromising user privacy or crossing legal lines? In this episode of Tech Talks Daily, I sit down with Frank Portman, CTO of Yobi, to explore how his team is building foundation models grounded in real user behavior, backed by ethically sourced and consented data. Frank shares how Yobi is taking a distinct approach. They're not building large language models or racing to dominate generative AI headlines. Instead, they're focused on data integrity, transparency, and security from day one. With a strategic partnership with Microsoft Azure, Yobi delivers models that run directly within a customer's environment. That means privacy is preserved, data stays protected, and companies still benefit from intelligent, adaptive systems. We unpack how Yobi avoids risky use cases like financial underwriting and healthcare, how their models are trained to avoid demographic bias, and why they actively reward systems for being bad at guessing personal traits. This isn't just about compliance. It's about designing products that work better because they're built responsibly. Frank also opens up about Yobi's internal culture, his belief in first-principles thinking, and how empowering engineers to "place bets" drives innovation. He offers insight into what the AI industry must learn quickly from recent missteps, including data misuse and growing public skepticism. If you're exploring AI solutions and wondering how to build or buy systems that scale without cutting ethical corners, this conversation delivers clarity, honesty, and direction. Are you ready to rethink what responsible AI should look like inside your company?

In today's episode of Tech Talks Daily, I sit down with Christian Reilly, Field CTO for EMEA at Cloudflare, the Connectivity Cloud company, to examine the latest findings from their cybersecurity research and what they reveal about how prepared different industries really are. While sectors like IT, gaming, and financial services have seen a higher volume of cyberattacks, they also report greater readiness and resilience. In contrast, industries like education and healthcare, although less frequently targeted, remain far less prepared to defend against growing threats. This gap raises important questions about how organizations approach security depending on their legacy systems, revenue models, and digital maturity. Christian brings years of frontline experience to the discussion and shares actionable insights into how companies can build cybersecurity strategies that not only protect but also improve performance. From the shift toward zero trust architecture to the critical role of board-level engagement, we explore how forward-thinking organizations are rethinking the role of cybersecurity in modern digital operations. He explains why simplicity often beats complexity, and how reducing friction for end users is key to long-term resilience. We also look ahead to some of the key trends shaping the future of security. Christian dives into the challenges posed by emerging technologies such as quantum computing, AI, and the explosion of data generated by IoT and smart infrastructure. He stresses the importance of preparing now for scenarios like Harvest Now, Decrypt Later, and why organizations need to begin thinking seriously about post-quantum cryptography. On the human side, Christian outlines what effective training looks like today and how to shift employee culture from compliance to awareness. If you're wondering how to stay one step ahead of evolving threats, this conversation offers a wealth of insight from the heart of the Connectivity Cloud. How is your organization preparing for what's coming next?

In today's episode of Tech Talks Daily, I reconnect with Abnormal AI's CIO, Mike Britton, to explore one of the most pressing topics in the tech world—AI regulation and cybersecurity.  Speaking from his base near Dallas, Mike brings a pragmatic perspective shaped by decades of experience at the intersection of enterprise technology and security. As the debate around artificial intelligence evolves, we examine the growing divide between the United States and Europe on regulatory approaches and what business leaders can learn from each side. While Europe takes a more cohesive, application-based approach, the US remains fragmented, relying on state-by-state policies and sector-specific laws. Mike unpacks why this patchwork complicates global alignment and what an effective risk-based, standardized framework might look like. He argues that regulation must focus on how AI is applied, not just its scale, especially as the technology becomes embedded in everything from healthcare to email automation. We also touch on the unintended consequences of overregulation, including the risk of pushing innovation into regions with fewer safeguards. As Abnormal Security works with some of the world's largest brands, Mike offers a frontline view into how threat actors are already leveraging AI to outpace traditional defenses. His insights reinforce the need for transparency, human oversight, and "kill switches" to ensure AI remains a tool for good, not a liability. From real-world examples to strategic recommendations, Mike outlines what CIOs and CISOs need to know now. His advice is clear, grounded, and actionable, whether embracing regulatory sandboxes, staying alert to geopolitical nuances in AI models, or maintaining continuous learning in a fast-moving space. So, how do we keep innovation ethical and secure in a world where AI is moving faster than ever? And what steps should technology leaders take to avoid falling behind or losing control of the tools meant to drive progress?

As artificial intelligence continues to reshape how we work, lead, and interact, the need for emotionally intelligent and human-centered leadership has never been more urgent. In this episode of Tech Talks Daily, I sit down with Jen Croneberger, the Founder and Chief Inspiration Officer at The Human Leadership Institute, to explore how relational leadership guides organizations through the noise and complexity of rapid AI adoption. With a background in sports and performance psychology and a career that spans working with elite athletes, government agencies, and global brands like Nike and Samsung, Jen brings a rare perspective to the conversation around AI. She argues that amidst all the automation and data, our ability to build trust, communicate transparently, and stay grounded in shared values will define success moving forward. Throughout the conversation, Jen makes the case that leaders today cannot rely on technical skills alone. They must create cultures of psychological safety, model adaptability, and foster a clear understanding of how AI can enhance rather than replace human capabilities. We also dive into some of the more challenging topics, including the ethical implications of AI, resistance to change, and why some employees struggle to see a future where they coexist with intelligent machines. What I found particularly insightful was Jen's ability to draw parallels between leading teams in high-stakes athletic environments and leading through tech transformation. Whether it's building resilience after a setback or navigating uncertain outcomes with confidence, the same foundational principles apply. As we look to a future where AI is embedded in every business layer, Jen's message is timely and practical. If you are a leader wondering how to support your teams through disruption without losing the soul of your culture, this episode will give you plenty to reflect on. How will you lead in a world where machines are intelligent, but people still need to feel seen?

What if the food you eat could not only affect how you feel today but also determine how many healthy years you'll have in the future? In this episode of Tech Talks Daily, I sit down with Jonathan Wolf, the co-founder and CEO of Zoe, to explore how advanced science, AI, and data are reshaping our understanding of nutrition and health. Jonathan shares the remarkable journey of building Zoe from an idea into a leading science and nutrition company that has reached hundreds of thousands of users. From a background in physics and ad tech to pioneering personalized nutrition, Jonathan has led Zoe through significant milestones, including publishing more than 70 peer-reviewed papers and developing tools that empower individuals to understand their microbiomes, track real-time health markers, and make lasting changes to their diet. We also dive into the technology powering Zoe's new free app launch in the US, which aims to help consumers see what's really in their food. Through food photo recognition, AI-driven analysis, and a unique risk scale for processed food, Zoe is offering a tool that could change how people choose what they eat. Jonathan explains why ultra-processed foods are a major public health concern and how empowering individuals with knowledge is the first step toward lasting change. Beyond product features, this conversation also unpacks the tension between rigorous scientific integrity and business growth, the importance of behavior change, and the broader implications for public health. Whether you're interested in the future of AI in healthcare, building a purpose-driven tech company, or simply making smarter food decisions, this episode will leave you thinking differently about what's on your plate. How can personalized nutrition move from science labs into daily life, and what role should tech leaders play in that shift?

In today's episode of Tech Talks Daily, I sit down with Jeff Butler, General Manager of Cask Canada, who shares the story of how he led a tech startup to a standout position in the competitive ServiceNow ecosystem in less than a year. Listen in to learn how Cask Canada grew from startup to standout in the ServiceNow ecosystem by focusing on people, trust, and AI-driven transformation. As we explore Jeff's unique journey from his early days witnessing the birth of Silicon Valley innovation in San Francisco to building a thriving ServiceNow consulting business in Canada, there are lessons here for anyone navigating today's fast-moving tech landscape. Jeff offers a first-hand look at the unexpected realities of launching a consultancy in Canada's evolving digital market. Rather than focusing solely on technology, he highlights the power of building genuine, long-term relationships with clients and team members. Throughout our conversation, it becomes clear that success in tech services today is shaped as much by trust, patience, and authenticity as it is by technical excellence. We also discuss how AI and automation are reshaping ServiceNow-driven digital transformations. Jeff provides valuable insight into how AI is not just enhancing customer service experiences but also beginning to change the way consulting services are delivered. Yet he makes an important point: human oversight remains vital, especially when high-stakes business decisions are involved. Looking ahead, Jeff reflects on the challenges and opportunities that ServiceNow partners face as AI capabilities mature, integration demands grow, and the implementation partner landscape changes. He also shares how building an elite consulting team required a deliberate focus on culture, communication, and finding people who want to build something bigger than themselves.  

In today's episode of Tech Talks Daily, I sit down with Prashanth Chandrasekar, CEO of Stack Overflow, to explore how the rise of AI is reshaping the future of software development and the evolving role of community-driven platforms. Prashanth offers a grounded view of what is happening behind the headlines as the tech world moves into the third year of widespread AI adoption. We begin by unpacking how AI is already transforming the way developers work, automating routine coding tasks, while still falling short when it comes to complexity and trustworthiness. Prashanth explains why Stack Overflow is positioning itself as a community and a vital "Knowledge as a Service" platform, integrating with AI tools to maintain trusted knowledge in an age where data quality and source attribution have never been more important. Our conversation also delves into the growing concern of "LLM brain drain" and the broader data crisis facing AI innovation. Prashanth highlights the importance of human-generated content, even as synthetic data technologies advance. He shares why Stack Overflow's continued investment in community-driven knowledge, responsible AI use, and strategic partnerships with major AI players is critical to maintaining a healthy ecosystem for developers and enterprises. We also look ahead to Stack Overflow's strategic priorities, including expanding content types, integrating AI into both the public platform and Stack Overflow for Teams, and moving toward a seamless user experience across the tools developers already use every day. How can businesses balance automation with human insight in their AI strategies? Why is data scarcity a looming issue for AI development? And how is Stack Overflow preparing to lead community and enterprise solutions into the next era of innovation? Let's find out.

How do businesses untangle years of legacy technology without risking everything they have built? Today on Tech Talks Daily, I sat down with Jacek Migdał, founder and CEO of Quesma, to explore this question and discover how his company offers a fresh and pragmatic approach to database migration and optimization. Jacek shared the story behind Quesma's creation, shaped by his early exposure to databases through his father's work and his own experiences in Silicon Valley. Through extensive research, he identified a widespread frustration among businesses trying to modernize their legacy systems, often facing high costs, licensing nightmares, and failed migrations. Rather than tearing everything down and starting from scratch, Quesma offers a database gateway that acts as a middle layer, allowing gradual migrations with far less risk. I learn more about how this technology enables companies to test new systems alongside their old ones, helping to avoid the costly mistakes that have historically derailed so many modernization projects. We  discussed how Quesma is addressing complex challenges across industries like telecom and travel. Their solution is already providing companies with ten times faster performance while significantly lowering operational costs, all without forcing disruptive system changes. Jacek also gave a sneak peek into two exciting new products launching soon. SQL extensions with pipe syntax will enrich data directly inside databases, while a feature called "smart charts" will offer AI-powered visualizations for faster, clearer insights. What makes Quesma truly stand out is its unapologetically pragmatic approach. Rather than assuming a clean, cloud-native environment, Quesma embraces most businesses' messy realities. Their clever use of AI enhances migration processes without relying solely on black box systems, striking a unique balance between speed, reliability, and cost efficiency. As we look toward the future, Jacek shared how Quesma is pushing forward with open-source initiatives, observability pipelines, and forming consortiums with major players in the tech industry. With upcoming appearances at major conferences in the United States and Europe, it is clear that Quesma is carving a new path for database modernization. How could a smarter approach to data migrations change how your organization adapts and grows in a data-driven world?

How can computer vision and AI reshape the future of coaching, player development, and fan engagement in sports? In today's episode of Tech Talks Daily, I sit down with Lauren Pedersen, CEO and co-founder of Sport AI, to explore how AI brings advanced sports analysis to athletes and coaches everywhere, not just to elite professionals. Lauren shares the inspiring journey that led her from New Zealand to Norway and from NCAA Division 1 tennis player to tech entrepreneur. Sport AI is leading a movement to democratize access to professional-grade coaching tools, offering real-time tactical and technical analysis in racket sports like tennis, paddle, and pickleball.  Using computer vision to track body movement and ball contact points from video alone without the need for wearables, Sport AI delivers data-backed insights directly to coaches and players through integrations with camera-enabled courts and coaching platforms. We also dive into how Sport AI's technology serves sports organizations, academies, equipment brands, and broadcasters, providing valuable performance data and creating new revenue streams for local clubs. Lauren talks about the balance between AI and human coaching, how AI enhances but never replaces the coach's role, and why social engagement and player empowerment are at the heart of this sports technology evolution. Lauren's vision stretches beyond racket sports, hinting at future expansions into golf, basketball, and baseball, wherever repetitive motion training can benefit from biomechanical analysis. As the sports world embraces AI and camera technology at scale, what does this mean for the future of training, competition, and how athletes of all levels experience the game? Tune in to learn how Sport AI makes advanced sports insights accessible to all and what lies ahead for this exciting intersection of sports and technology.

In this episode of Tech Talks Daily, I'm joined by Sunil Singhvi, Head of Arts & Culture at TriliTech, the London-based blockchain hub helping shape the future of digital experiences through the Tezos ecosystem. Sunil brings a rare blend of deep tech, culture, and media expertise, having held senior roles at Twitter, Instagram, and Rarible before joining Trilitech. His mission? To explore how blockchain isn't just about tokens and ledgers but about real human connection, particularly between creators, brands, and their communities. What stood out in our conversation is how Sunil views blockchain as a vehicle for restoring creative autonomy and rebuilding trust in the creator-fan relationship. Through compelling examples like Manchester United's Fantasy United game and McLaren's collectible-driven fandom, we explore how Tezos enables ownership, co-creation, and authentic engagement that outpaces traditional social platforms and algorithms. We unpack the evolution of NFTs, moving beyond the speculative bubble of the past into more grounded use cases that offer tangible benefits. From supporting emerging artists through royalty-respecting marketplaces like objkt.com to enabling fans to co-create digital artwork through platforms such as editart.xyz, the conversation highlights a meaningful shift in how digital creativity is produced and experienced. Sunil paints a future where fans become collaborators and artists regain long-lost visibility into who their supporters truly are. We also reflect on the power of community, where smaller and more engaged groups increasingly matter more than vast but disengaged audiences. And perhaps most importantly, we explore what happens when creative expression is no longer dictated by opaque systems but driven by transparent, decentralized tools. Could blockchain finally deliver on the promise of a fairer and more inclusive creative economy? And if so, how can artists, brands, and everyday users participate in this movement without repeating the missteps of earlier digital revolutions? Let us know your thoughts. Could Web3 be the reset button creative industries have been waiting for?

What does it really take to modernize an enterprise in a world of constant disruption, increasing AI capabilities, and evolving customer expectations? In this episode of Tech Talks Daily, I sit down with Rajsekhar Datta Roy, Chief Technology Officer at Sonata Software, to explore how modernization engineering and responsible AI adoption are reshaping business transformation strategies. Raj brings decades of experience to the conversation, guiding organizations through the complexities of aligning technology with business value. We begin by unpacking what modernization truly means in today's environment. Rather than a single event, Raj explains how modernization is a continuous process that blends operational efficiency with agile frameworks and a readiness to adapt to future technologies like AI.  My guest shares Sonata Software's structured approach to modernization, designed to generate efficiency from existing systems and redirect those savings into smarter, faster innovation cycles. We also explore the growing role of generative AI in digital transformation. Raj outlines the importance of moving beyond surface-level applications, advocating for a deeper integration of AI into reimagined business processes. He discusses Sonata's responsible-first approach to AI, including its governance framework and platform-level deployment strategy that ensures secure and ethical implementation.  The result is not only a future-ready enterprise, but one that can deliver measurable value through better customer experiences, faster decision-making, and scalable AI adoption. As we zoom out, Raj highlights key ecosystem shifts, such as the growing importance of cross-industry collaboration and transforming customer expectations in the age of intelligent agents. He also offers advice on how to modernize without disrupting core systems, emphasizing the value of continuous learning, hands-on experimentation, and practical frameworks that reduce time to impact. If your organization is navigating digital transformation or exploring responsible AI deployment, this conversation offers both a strategic lens and real-world examples to help you move forward with clarity. How are you preparing your technology stack and business processes for what comes next? Let's continue the conversation.

In this episode of Tech Talks Daily, recorded live at Team '25 in Anaheim, I sit down with Jamil Valliani, Head of AI Products at Atlassian, to unpack the momentum behind Rovo, Atlassian's bold move to reimagine collaboration through generative AI. But this conversation goes far beyond product features. It offers a glimpse into how AI is reshaping teamwork, decision-making, and even company culture. Jamil explains how Rovo brings together enterprise-grade search, secure contextual chat, and a new Agent Studio designed to help anyone, from engineers to HR teams, build their own AI teammates. Perhaps most notably, all of this is being rolled out at no additional cost to Atlassian's paid users. That shift in accessibility marks a clear intent to drive meaningful adoption, not just feature excitement. We explore why 2025 is being tipped as the year of the AI agent, and how Atlassian is helping businesses move beyond overwhelm and into action. What stands out is how teams are using Rovo not just to save time but to remove the friction that clogs up workdays. Think triaging support tickets, updating status reports, or turning customer insights into ready-to-execute tasks. These are no longer chores left to team members; they are responsibilities shared with intelligent, learning agents that work alongside them. Jamil also shares some revealing stats. Customers are already seeing up to 2x return on investment, saving over 100 minutes a day, and 85 percent say the quality of their work has improved. That time and mental clarity is giving teams space to experiment, adapt, and create. So, where should you begin if you're starting your AI journey? And what does it take to build a culture where AI is embraced not just as a tool, but as a catalyst for better work? Tune in, and let us know what your AI-powered future looks like.

What does it really take to build a software startup that doesn't crash before it can fly? In this episode of Tech Talks Daily, I sit down with David Hirschfeld, founder of Tekyz Inc., a software veteran who's spent over 35 years working across more than 90 startups. From his early days studying physics at UCLA to becoming the top national salesperson at Computer Associates, and later founding and selling his own successful software company, David has seen the full arc of startup life—success, failure, and the lessons in between. In our conversation, David unpacks the patterns he's observed over decades in the field and the epiphany that led him to create the “Launch 1st Method.” Rather than falling into the trap of building first and validating later, David's approach challenges founders to prove product-market fit and generate real revenue before a single line of production code is written. He shares how this model not only reduces time, cost, and reliance on outside investment, but also offers a better chance of startup survival by confronting real-world customer demand from day one. We also explore how generative AI is reshaping software development, both in terms of speed and in shifting user expectations. David explains which areas of software development are accelerating most, where AI still struggles, and why even the best tools can't substitute for deep customer insight and thoughtful architecture. He also breaks down the artifacts that distinguish exceptional development teams—from weekly status reports to estimation accuracy—and how these practices shape delivery quality and team alignment. But perhaps most importantly, David offers a grounded look at what makes founders succeed. He emphasizes the value of falling in love with a problem, not a product idea, and staying relentlessly focused on understanding customers and their willingness to pay. Whether you're just starting out or rethinking your strategy, this episode delivers practical insights on how to derisk innovation, build smarter, and stay resilient in a fast-moving AI era. Are you building what people need, or what you hope they want? Let's explore that further.

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.

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.

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 StoreEra, 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 StoreEra'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, StoreEra 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 StoreEra 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 gives insight into 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 StoreEra 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.

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.

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.

In this episode of Tech Talks Daily, I sit down with James Smith, who leads ThoughtSpot's business across EMEA. With over 15 years in the analytics space, James shares how AI is shifting the way organizations use data, and why that change is not just about technology, but also about mindset and culture. James explains how ThoughtSpot is helping businesses move toward a more autonomous model, where AI-powered tools handle repetitive queries and free up analysts for more strategic work. He shares how ThoughtSpot's “Spotter” tool enables business users to ask and answer their own data questions, helping to reduce the bottlenecks that many central data teams face. But this isn't about removing people from the process. It's about enabling better collaboration between AI and human decision-makers, where transparency and context guide smarter actions. We also talk about ThoughtSpot's internal motto, “2% done,” and how that mentality drives continuous innovation. In a world that's changing rapidly, it's a reminder that staying curious, challenging assumptions, and building from first principles can unlock new levels of performance. As demand for AI-powered insights increases, James highlights the growing importance of strong data foundations. It's not enough to just add AI on top. Organizations need to invest in data quality, governance, and flexible platforms that support users at every level of maturity. From enabling better business decisions to giving non-technical users easier access to insights, James offers a grounded view of what AI can really deliver today. If you're working to build a data-driven culture, or looking to put more power in the hands of your teams, this conversation offers practical ideas to guide that transformation. How are you preparing your business for this shift in analytics? Let me know.

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.

What if the internet could run fully encrypted computations without sacrificing performance or control? In this episode of Tech Talks Daily, I sit down with Yannik Schrade, CEO and Co-Founder of Arcium, to explore how confidential computing is reshaping the future of digital infrastructure. Arcium is building what Yannik describes as an encrypted supercomputer, a decentralized network that allows data to stay encrypted even during processing. This approach gives developers and organizations a way to build privacy-first applications across sectors like healthcare, finance, artificial intelligence, and government services. We talk through how Arcium leverages secure multi-party computation to make this possible and why that matters in a world where sensitive data is often a liability. Yannik explains how Arcium enables companies to collaborate without revealing proprietary data, and how it allows for mathematically provable trust in digital processes. From private order books in financial systems to AI models that train on encrypted health data, the scope of this technology is already expanding into real-world use cases. We also explore the importance of decentralization, not just as a technical feature, but as a way to reframe the conversation around digital sovereignty, compliance, and individual freedom. Yannik reflects on his own journey from app developer to cryptography leader, and how his background in computer science, mathematics, and law helped shape his vision for Arcium. If you're navigating challenges around data privacy, regulation, or AI ethics, or if you're curious about what confidential computing can unlock, this is a conversation that brings clarity to an area often clouded by hype. What would your organization build if privacy was no longer a limitation but a default capability? Let me know after you've listened.

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?

In this episode of Tech Talks Daily, I sit down with Cerisse Velasco, Director of Midwest and Retail Media Brand Partnerships at Zynga, to explore how mobile gaming is reshaping digital advertising and brand engagement. While gaming has long been associated with teenage boys in basements, the reality is quite different—Zynga's audience is predominantly Millennial and Gen X women, a demographic that's often overlooked in marketing strategies. With mobile games like Words with Friends, Game of Thrones: Legends, and Match Factory, Zynga has built a massive entertainment platform where brands can authentically connect with engaged consumers. We discuss how mobile gaming offers a "leaned-in" advertising experience, with players actively engaging rather than passively scrolling. From rewarded video and interactive formats to in-game integrations, Zynga is pioneering innovative ad strategies that feel natural within the gameplay, rather than interrupting it. A recent partnership with The Real Housewives is a perfect example of how brands are rethinking their approach to mobile gaming, tapping into a highly influential and purchase-driven audience. Beyond traditional advertising, we also explore the future of gamified brand experiences, AI-powered personalization, and retail media integrations within gaming. As mobile gaming continues to dominate screen time, brands that embrace these new engagement models will have a significant edge in the evolving digital marketing landscape. How can brands create authentic connections with audiences in gaming environments? And what does the future hold for advertising in mobile entertainment? Tune in to hear Cerisse Velasco's insights on the changing face of digital engagement.

In today's hyper-connected world, the explosion of IoT devices is reshaping the cybersecurity landscape—but are businesses keeping up? In this episode of Tech Talks Daily, I sit down with Paul Savill, Global Practice Leader of Networking and Edge Compute at Kyndryl, to explore why traditional IT security strategies are no longer enough. With IoT-related cyberattacks rising at double-digit rates year over year and the global number of IoT devices projected to reach 25.4 billion by 2030, enterprises face mounting challenges in securing their networks. Paul shares insights into the biggest threats organizations are grappling with, including the growing risks of social engineering attacks, outdated infrastructure, and the widening gap between IT and OT security. With 44% of enterprise technology now considered “out of life” and unsupported by vendors, businesses are unknowingly leaving themselves vulnerable to increasingly sophisticated cyber threats. We also discuss Kyndryl's cybersecurity training program, which has driven a fourfold increase in employee-reported phishing incidents—a testament to the importance of ongoing education in strengthening enterprise security. Paul highlights the crucial role of Zero Trust and SASE architectures in modern network defense, using Kyndryl's own post-IBM spin-off transformation as a case study for successfully shifting to a cloud-first, AI-driven security approach. How can organizations modernize their infrastructure to stay ahead of evolving cyber threats? What steps should enterprises take to integrate IT and OT security more effectively? And how can AI-powered security tools help businesses navigate this rapidly changing landscape? Tune in to hear Paul's expert take on building a resilient, future-ready cybersecurity strategy.

How can women in tech overcome imposter syndrome, build confidence, and support the next generation of leaders? In this special International Women's Day episode of Tech Talks Daily, I sit down with Stacey Fournier-Thibodaux, President of Cask NX, to discuss the challenges and opportunities women face in the technology and consulting industries. With over 20 years of experience in professional services, global IT service delivery, and leadership at the largest pure-play ServiceNow partner, Stacey shares her personal journey from self-doubt to executive leadership. She offers practical insights into how women can navigate imposter syndrome, shift their mindset, and cultivate resilience in fast-paced, high-pressure environments. We also explore the role of mentorship, representation, and psychological safety in creating inclusive workplaces. Stacey shares real stories of women she has mentored into leadership roles and provides actionable strategies for those looking to take bold career leaps. Whether you're an aspiring leader or looking to empower the next generation, this conversation is packed with valuable lessons on career growth, confidence, and fostering a more supportive tech industry. As we celebrate Women's History Month, what steps can businesses take to retain and elevate diverse talent? How can leaders create environments where everyone feels seen, heard, and valued? Tune in to hear Stacey's insights on building a stronger, more inclusive future in tech.

How are fan relationships reshaping the music industry and beyond? In this episode of Tech Talks Daily, I sit down with Nick Holmstén, the visionary behind Spotify Playlists and former Global Head of Music at Spotify, to explore how fandom is becoming the driving force behind brand and artist success. Nick shares his journey from building Tunigo—acquired by Spotify to leading TSX Entertainment in Times Square and now focusing on the future of artist-fan connections. With streaming, social media, and emerging technologies shifting the power dynamic, fans are no longer passive listeners or consumers. They're shaping culture, promoting artists, and setting new industry trends. We discuss how the rise of independent artists and direct-to-fan platforms is changing music distribution, why brands should rethink their audiences as communities rather than customers, and how blockchain could introduce new transparency and reward systems for engagement. Nick also shares insights from his new book, Fan-Powered Futures, which explores how companies and creators can thrive in this new landscape. With more industries embracing engagement-driven models, what lessons can businesses take from the evolution of the music industry? And how will AI, Web3, and digital innovation further transform entertainment? Tune in to hear Nick's thoughts on what's next for artists, brands, and fan-powered economies.

How is open source shaping the future of technology, governance, and AI regulation? In this episode of Tech Talks Daily, I sit down with Amanda Brock, CEO of OpenUK, to explore the evolving role of open source in the age of AI, the shifting geopolitical landscape, and the ongoing push for diversity in tech. Since our last conversation, AI has taken center stage, raising urgent questions about transparency, intellectual property, and the future of open innovation. Amanda shares insights on how OpenUK advocates for open technology frameworks, the importance of sustainable funding for open-source projects, and the growing influence of standards in shaping global AI policy. She also discusses the UK's unique position between the EU's regulatory-heavy approach and the US's innovation-driven model—offering a glimpse into how policymakers grapple with the balance between governance and technological progress. With the episode airing on International Women's Day, we also dive into the state of diversity in tech. While open source has historically been a gateway for talent from all backgrounds, Amanda highlights the challenges ahead as many organizations scale back DEI initiatives. She shares how OpenUK fosters inclusivity through events like State of Open Con and why open source remains a critical entry point for aspiring developers worldwide. We also discuss the AI Action Summit and its impact on global AI policy, the rise of open-weight AI models, and why the phrase "tools, not rules" could define the future of AI governance.  Amanda also discusses her work on AI openness at AI for Good in Geneva and sustainability initiatives at COP30 in Brazil. She also shares how businesses and policymakers can contribute to a more open, collaborative future. How can open source drive innovation while ensuring accountability in AI? And what role will the UK play in shaping the global tech landscape? Tune in for a thought-provoking discussion with one of the leading voices in open technology.

How can something as simple as returning a lost item transform customer experience and brand loyalty? In this episode of Tech Talks Daily, I sit down with Skyler Logsdon, CEO & Co-founder of Boomerang, to explore how his company is redefining the lost & found process through AI-powered automation. Boomerang isn't just helping businesses return lost belongings—it's turning those moments of frustration into powerful customer engagement opportunities. With major brands like Wells Fargo Center, Universal Studios, and top MLB & NFL teams using Boomerang's platform, lost & found has become more than just an operational challenge—it's a differentiator in customer experience. Skyler explains how AI-driven matching streamlines the process, reducing the burden on businesses while dramatically increasing the chances of reuniting customers with their valuables. But more than efficiency, it's about trust. Every successfully returned item creates a meaningful connection between a business and its customers, reinforcing loyalty in a way that no marketing campaign can. We also discuss how Boomerang's rapid expansion is building a global network of trust. From sports stadiums to theme parks and hotels, businesses are recognizing that lost & found is no longer just a back-office function—it's a key touchpoint in the customer journey. Looking ahead, Skyler shares how Boomerang plans to scale its impact in 2025 and beyond, with the goal of making lost item recovery seamless across industries worldwide. How can businesses turn small moments of frustration into lasting customer loyalty? And what role does AI play in creating frictionless, trust-building experiences? Tune in to hear how Boomerang is revolutionizing lost & found and changing the game for customer experience.

How can AI drive the next wave of innovation in healthcare while ensuring trust, security, and compliance? In this episode of Tech Talks Daily, I sit down with Rajan Kohli, CEO of CitiusTech, to explore how agentic AI is reshaping healthcare. From personalized patient care to streamlining clinical workflows. As AI systems take on more decision-making responsibilities, the challenge is not just about advancing technology but ensuring it operates transparently, ethically, and securely. Rajan shares insights into the biggest trends shaping healthcare technology in 2025, including the resurgence of value-based care, the shift toward on-demand personalized healthcare, and the urgent need to break down data silos for better insights. With agentic AI moving beyond passive data analysis to active decision-making, we discuss how it can improve efficiency, support medical professionals, and transform everything from diagnostics to patient engagement. But with these advancements come critical concerns. How do we ensure that AI-driven decisions are explainable and auditable? How can organizations comply with stringent healthcare regulations like HIPAA and GDPR while leveraging AI to enhance care delivery? Rajan breaks down the key trust-building frameworks needed to make AI adoption both responsible and effective. We also dive into real-world use cases, such as AI-powered virtual agents that support medication adherence, optimize clinical trials, and even assist with claims processing. These applications demonstrate how AI can ease the burden on healthcare providers while improving patient outcomes. However, cybersecurity remains a major challenge, with the healthcare industry increasingly targeted by data breaches and cyber threats. Rajan explains how leaders can strengthen AI security, prevent data manipulation, and implement strong governance models to mitigate risks. As healthcare undergoes a massive digital transformation, what will it take to balance AI innovation with the ethical and regulatory demands of the industry? And how can AI truly enhance—not replace—human expertise in healthcare? Tune in to hear Rajan Kohli's expert perspective on the future of AI-driven healthcare.

How can businesses stay ahead of the rapidly evolving risks of AI-driven fraud? In this episode of Tech Talks Daily, I sit down with Bradley Niedzielski, Audit & Assurance Partner, Digital Transformation at Deloitte, to explore the growing threat of generative AI in financial fraud and how organizations can strengthen their defenses. With deepfake technology, synthetic identities, and AI-generated forgeries becoming more sophisticated, traditional fraud detection methods are struggling to keep up. Deloitte projects that AI-driven fraud losses in the U.S. could reach $40 billion by 2027—more than tripling from 2023. Bradley shares insights from Deloitte's latest research, including a startling statistic: over 25% of businesses have already faced a deepfake financial fraud attack, and more than half expect these threats to escalate within the next year. Despite this growing concern, only 7.4% of companies prioritize technology as their primary defense, and less than half feel confident in their ability to combat AI-powered fraud. So, what's holding them back? And what steps should organizations be taking right now to strengthen their fraud risk management frameworks? We discuss the critical role of AI governance, the importance of transparency in AI decision-making, and why human oversight is still essential—even as AI becomes more autonomous. Bradley also highlights how finance departments increasingly embed AI into their workflows, from automating financial close processes to leveraging AI-driven scenario planning. But as AI becomes a core part of financial operations, ensuring data integrity and preventing blind trust in AI-generated outputs is more critical than ever. Beyond risk mitigation, we explore how businesses can prepare their teams for the AI-driven future. Bradley shares best practices for upskilling finance professionals, fostering a culture of innovation, and ensuring AI adoption aligns with broader organizational goals. With AI reshaping finance functions at an unprecedented pace, how can companies implement it securely while maintaining regulatory compliance and operational efficiency? As generative AI continues to disrupt the financial landscape, how can businesses balance innovation and risk management? And what strategies will define the next generation of AI-powered finance operations? Tune in to hear Bradley Niedzielski's expert take on navigating the opportunities and challenges of AI in finance.

What does the future of work look like in an era of hybrid models and AI-powered collaboration? In this episode of Tech Talks Daily, I sit down with James Campanini from Logitech to explore how workplace technology is evolving to empower productivity, foster inclusivity, and reshape how we think about collaboration—beyond office walls. For over 45 years, Logitech has connected people to the digital world, from early peripherals like mice and keyboards to today's advanced video conferencing and AI-driven solutions. James shares how Logitech's approach to hybrid work isn't about forcing employees back into the office but rather about ensuring that work happens effectively—whether in an office, at home, or on the move. Businesses focusing on how people work rather than where they work are seeing higher engagement, reduced burnout, and better overall productivity. We also dive into AI's role in Logitech's innovations for years, from intelligent camera systems that automatically adjust lighting to noise-canceling technology that ensures remote workers are heard as clearly as those in the room. As AI continues transforming business operations, James explains why it's not about replacing human decision-making but optimizing workflows, reducing time spent on repetitive tasks, and making meetings more inclusive for everyone—regardless of location. Beyond technology, we discuss a growing concern in the corporate world: employee monitoring. With increasing companies turning to surveillance tools, Logitech advocates for a different approach—focusing on presence rather than policing. By equipping teams with the right tools, organizations can create an environment of trust and collaboration rather than scrutiny and micromanagement. We also explore real estate trends as businesses rethink office spaces, shifting from rows of desks to more flexible, multi-purpose environments that better support hybrid collaboration. What's the right balance between in-person and remote work? And how can technology ensure all employees have an equal seat at the table—physically and digitally? With AI reshaping the way we work and businesses needing to do more with less, how can organizations create productive but also inclusive and engaging workplaces? Tune in to hear how Logitech is leading the way in redefining the future of work.

How can businesses deploy AI with full transparency, accountability, and trust? In this episode of Tech Talks Daily, I sit down with David Villalón, co-founder of Maisa AI, to explore how their agentic AI technology is transforming enterprise decision-making. With many organizations still hesitant to integrate AI due to concerns over trust, hallucinations, and lack of explainability, Maisa has taken a different approach—ensuring full traceability in AI-driven processes. David introduces Maisa's Vinci KPU and its "Chain-of-Work" concept, which moves beyond traditional generative AI models to create structured, deterministic decision-making processes. Unlike black-box AI systems that provide probabilistic answers, this approach allows organizations to see exactly how AI reaches its conclusions, making compliance and regulatory approval far more achievable. We discuss why this is a game-changer for industries like finance, oil & gas, and automotive—sectors where AI decisions carry high stakes and require robust governance. With AI agents becoming increasingly autonomous, businesses must balance efficiency and oversight. David explains how Maisa's model allows for independent AI operation while ensuring humans remain in the loop for critical decision-making. He also shares best practices for mitigating AI-related risks, including financial losses and reputational damage, through governance frameworks and real-time intervention capabilities. Beyond today's AI applications, we look at the bigger picture—how agentic AI reshapes leadership and organizational structures. As AI takes on more operational tasks, leaders are shifting from hands-on execution to managing networks of AI-powered "digital knowledge workers." What does this mean for the future of work? How will businesses adapt to remain competitive in an AI-driven economy? Looking ahead, David shares his insights on the biggest opportunities and challenges facing AI adoption over the next five years. With AI evolving rapidly, how can companies future-proof their AI strategies while maintaining trust and control? Tune in to hear how Maisa is pioneering a new era of AI-powered decision-making.

Are you getting what you need from Tech Talks Daily? Or is there something missing? In this episode, I'm stepping back from interviews to check in with you—my incredible listeners. I know I'm guilty of keeping my head down, recording back-to-back conversations, and pushing out episodes without stopping to ask: What do you want to hear more of? What should I cover less? Are there industries or tech trends you think deserve more attention? This show is all about exploring the impact of technology in and outside the workplace, breaking down the ROI and measurable impact of every innovation in a way that everyone can understand. But I want to make sure I'm asking the right questions and featuring the right voices.  So, tell me—what's on your mind? I'm also taking Tech Talks Daily on the road! If you're attending IGEL Now & Next 2025 in Miami or the Qualtrics X4 Summit in Salt Lake City or the Bay Area, why not grab a coffee or a beer and chat in person? Beyond the podcast, I work with businesses, leaders, and brands to help them share their stories—whether through thought leadership blogs, ghostwriting, or launching their own podcasts. If time constraints have been holding you back from stepping up your content game, let's talk. So, what do you think? What's next for Tech Talks Daily? What trends should I chase down? Who should I be speaking with? Let's make this a two-way conversation. Reach out, and let's make it happen. I'm listening. Are you in?    

How can brands leverage emerging technologies to drive real business results? In this episode of Tech Talks Daily, I sit down with Sarah Salter, Global Head of Innovation and Platforms at Wavemaker, to explore how companies can move beyond hype and apply AI, AR/VR, and other innovations in ways that truly engage consumers and deliver measurable impact. With a background spanning 15 years and work on groundbreaking projects for brands like P&G, Nationwide, and the NHS, Sarah brings a unique perspective on digital transformation across industries. Innovation isn't about chasing trends—it's about solving real business challenges. Sarah shares how Wavemaker helps brands set clear KPIs and use emerging tech strategically, from AI-driven personalization to immersive brand experiences in gaming and the metaverse. We discuss key lessons from major tech initiatives, including the NHS's COVID-19 WhatsApp response and Nationwide's Local Voices campaign on Alexa and Google, and how these projects balanced agility, accessibility, and meaningful engagement. As AI continues to reshape marketing, brands are navigating a shift from interruptive ads to participatory experiences. Sarah highlights how companies like L'Oréal and Dove are leading with AI-driven campaigns and why gaming is becoming a major frontier for brand engagement. But with rapid technological change comes challenges—how do businesses keep up, invest in the right skills, and ensure innovation stays inclusive? A passionate advocate for diversity in tech, Sarah also shares her thoughts on why diverse teams lead to better innovation and why the industry must do more to support women in leadership. From fostering STEM education to initiatives like WPP's Back in the Game, she discusses what's needed to build a more inclusive future in technology. How can brands use technology to connect with audiences in more meaningful ways? And what does the future of immersive, AI-powered marketing look like? Tune in to hear Sarah Salter's insights on the next era of brand innovation.

How can AI transform project management without adding unnecessary complexity? In this episode of Tech Talks Daily, I sit down with Miya McClain, VP of Product Management at Smartsheet, to explore how embedded AI tools are reshaping the way teams collaborate, manage data, and deliver successful projects.  With an engineering background and deep product expertise, Miya shares how Smartsheet is tackling some of the biggest challenges in project management, from data overload to team burnout. AI in project management isn't about replacing human decision-making—it's about enhancing it. Miya explains how Smartsheet's AI-driven insights help teams cut through the "data mess," turning scattered information into clear, actionable intelligence. With 63% of eligible Smartsheet plans already leveraging AI tools, businesses are seeing improved efficiency, better decision-making, and a significant reduction in manual work. We also discuss how AI can proactively identify risks before they derail a project, providing managers with real-time visibility into potential roadblocks. This not only minimizes stress but also helps teams stay on track without last-minute scrambles. And as AI continues to evolve, Miya shares her perspective on the future of agent AI—where technology doesn't just analyze data but also recommends the best projects to tackle, assigns the right people, and even personalizes onboarding experiences. But as AI adoption grows, so do concerns about responsible use. Miya highlights Smartsheet's commitment to data security, ensuring customer data is never co-mingled or used for training. She also debunks common AI myths, explaining why project managers remain vital, even as AI takes on more of the repetitive tasks. With AI poised to redefine project management, how can businesses ensure they're using it strategically and responsibly? And what does the future hold for AI-powered collaboration? Tune in to hear Miya McClain's insights on the evolving role of AI in the workplace.

What is the future of document generation in 2025, and how should businesses navigate the risks of AI? In this episode of Tech Talks Daily, I sit down with Christian Lund, co-founder of Templafy, to explore how AI-powered document automation is reshaping productivity, compliance, and security in modern enterprises. As companies push for greater efficiency, many are adopting AI tools to streamline workflows. But AI's effectiveness depends heavily on context—and context is something you can't always rely on users to provide. Christian shares why most people approach AI like a search engine, entering a handful of keywords and expecting the right results. But would you brief a colleague with just a few disjointed words? Better briefs lead to better outputs, whether you're working with humans or AI.  This is where Templafy steps in, delivering AI-powered document generation solutions that integrate seamlessly with platforms like Microsoft Office, Google Workspace, and Salesforce. Trusted by over 800 enterprises, including KPMG, BDO, and Adobe, Templafy automates document creation while maintaining compliance and brand consistency—saving employees up to 30 days per year. We also dive into why the best automation happens when humans are less involved. Far from sidelining human input, this approach reduces compliance risks and frees employees to focus on high-value work that drives business growth. Christian explains how Templafy orchestrates AI models, data sources, and workflows to ensure optimal outcomes, from sales collateral to RFP responses. Plus, we explore future trends, including AI agents and stronger orchestration that allows businesses to stay in control of AI-powered processes. How can businesses balance the push for faster workflows with the need for secure, compliant documents? And what role will AI agents play in tomorrow's document generation landscape? Tune in to discover how Templafy is paving the way for smarter, safer automation.

What will the future of AI accessibility look like when Big Tech no longer dominates the infrastructure? In this episode of Tech Talks Daily, I explore this question with Dr. Seena Rejal, the Chief Commercial Officer at NetMind.AI. Seena brings over 15 years of experience in deep tech ventures across the US and UK. As a two-time founder, investor, and now CCO of NetMind.AI, his mission is clear: democratize access to AI by breaking the centralized control of high-performance computing. NetMind.AI is pioneering a decentralized GPU computing platform through its blockchain-enabled NetMind Power, making AI affordable and accessible for everyone. But how exactly does decentralization level the playing field in an AI landscape dominated by major players? Seena shares his insights on how this approach not only empowers startups and researchers but also tackles some of the industry's most pressing challenges, such as GPU shortages, environmental costs, and Big Tech's increasing appetite for nuclear energy. Our conversation explores the growing role of agentic AI and its real-world applications across multiple sectors. How are AI agents enhancing efficiency and transforming decision-making processes? Seena explains why agentic AI could be the next big shift in AI adoption and what businesses need to know to stay ahead. We also discuss recent moves in the semiconductor industry, including Amazon's efforts to build AI chips designed to rival Nvidia, and what this means for the future of AI infrastructure. Throughout the discussion, Seena emphasizes the ethical implications of rapid AI advancement. With misinformation and deepfakes becoming more common, how can decentralized, open-source approaches help create a more transparent and secure AI ecosystem? Seena believes that by distributing AI infrastructure and fostering open access, smaller players can compete with big tech giants while promoting ethical standards in AI development. As AI technology evolves, will decentralization be the key to unlocking its full potential for everyone? What will it take for businesses to embrace this shift? Listen to this insightful conversation and let me know—do you believe decentralized AI is the future?  

Have you ever wondered how technology could help solve the growing challenges in the UK's water industry? With increasing cost pressures and rising consumer demands, the water sector is at a critical juncture. In this episode of Tech Talks Daily, I'm joined by Sandeep Bhattarai, Utilities Value Advisor at SAP UKI, to explore how digital solutions can help water companies navigate these turbulent times. SAP's latest research reveals that 34% of water company leaders are grappling with challenging cost pressures, with 94% believing that investment must rise to meet customer expectations. Sandeep shares his insights into the root causes of these financial strains and how a lack of digital infrastructure is slowing progress. He explains how technology adoption, or the lack thereof, is impacting the industry's ability to meet the stringent requirements of AMP8, a five-year regulatory framework starting in 2025. As we unpack the complexities of the water network, Sandeep highlights how digital transformation can streamline operations, reduce inefficiencies, and improve service delivery. But can technology truly be a silver bullet? Sandeep addresses this question head-on, offering practical solutions for overcoming the skills gaps, operational silos, and knowledge barriers that continue to hinder digital adoption. Looking ahead, we discuss what the future holds for the UK water industry post-AMP8. Will the sector embrace the digital revolution required to meet evolving demands? How can leaders harness technology to ensure sustainable growth and customer satisfaction? Tune in to this insightful conversation and share your thoughts—what role do you think technology should play in shaping the future of water services?