Podcasts about ctos

Most organizations are drowning in data they can't process fast enough — leaving critical security gaps that adversaries exploit. Michael Cucchi, Chief Marketing Officer at Hydraulics, reveals how a groundbreaking new data architecture is transforming real-time security analytics, slashing processing costs by up to 40X while capturing every byte of telemetry across global networks.In this episode, you'll discover why traditional Security Information and Event Management (SIEM) systems are no longer sufficient for today's threat landscape. Michael breaks down the limitations of legacy data storage, ingestion bottlenecks, and costly rehydration issues that leave security teams blind during breaches. He shares how leading companies are adopting a new security data fabric designed for hyper-scalability, instant analysis, and unprecedented data retention — all at a fraction of the cost.We break down:The evolution and modern challenges of the SIM market, including why outdated architectures struggle with today's data volumes.How security analytics are rapidly moving toward real-time, agentic automation driven by AI and large-scale data fabrics.The critical importance of low-latency querying, cost-effective storage, and flexible architectures that enable security teams to operate at machine speed.Why the next wave of security operations will depend on maintaining and rehydrating vast, granular data stores without breaking the bank.How innovative companies like Hydraulics are building the emerging data fabric that will underpin zero-trust, AI-driven security in the years ahead.This episode is essential listening for security professionals, CTOs, and data architects eager to stay ahead of the exponential growth in security signals, threats, and complexity. Miss out on these insights, and your organization risks falling behind—armed only with legacy systems that can't keep up. A smarter, faster, cheaper future for security analytics is here.Plus, Michael shares exclusive research coming to RSA — including advances in AI-driven bots and zero trust frameworks. Whether you're defending enterprise assets or building next-generation SOCs, this conversation is your gateway to the future of security data management.Timestamps: 00:00 – Introduction and episode overview02:24 – Michael's background and experience in data science and security04:52 – How infrastructure and SIEM technologies have evolved over the past decade08:15 – Limitations of current SIEM architectures and data retention challenges12:10 – Hydraulics' approach to scalable, cost-effective security data platforms15:24 – The importance of real-time analytics in security operations17:00 – AI and automation in breach detection and incident response19:34 – Scaling security telemetry across global networks and CDN signals22:10 – The object-oriented storage analogy in security data management25:05 – Crossing the chasm: from traditional SIEM to real-time data fabric28:13 – Future of AI in security automation and the next decade in security tech31:01 – Final insights and how to connect with HydraulicsResources & Links:https://hydrolix.ioAWS Object StorageUnderstanding Data Fabrics in Security (hypothetical link)

OSFF Toronto 2026 Preview: FINOS Ecosystem, AI, HPC, Fluxnova, CALM, CDM & Open Data CommonsIn this episode of the Open Source in Finance Podcast, host Grizz Griswold delivers an essential preview of the upcoming inaugural OSFF Toronto. Grizz breaks down why Toronto's unique position as a top-tier global financial hub—home to Canada's "Big Five" banks and a world-class AI research community—makes it the perfect environment for the next evolution of open-source collaboration. The episode explores the shift from Canadian institutions being open-source consumers to becoming active leaders in projects like FDC3 and Common Cloud Controls, providing a roadmap for what to expect when the forum debuts in the "6ix."

Most organizations struggle to balance building their own AI infrastructure with leveraging reliable, scalable solutions. Oded Sagie and Perry Krug reveal how partnering with Pinecone transformed their approach—turning complex infrastructure challenges into seamless, "boringly reliable" systems. Discover how this shift unlocked faster innovation, lower operational overhead, and the peace of mind to focus on delivering real customer value.In this episode, you'll break down the core architectural innovations behind Pinecone's platform, including its adaptive indexing and serverless design, which support workloads from low-latency high-throughput applications to massive multi-tenant environments. Oded shares real-world lessons on choosing build vs. buy—highlighting the long-term costs of ownership versus operational simplicity and scalability. Perry dives into how Pinecone's managed vector database facilitates rapid deployment on cloud platforms like Azure, helping teams focus on their core product, not infrastructure.If you're navigating the complexity of deploying AI at scale—especially in industries demanding high reliability and performance—this episode is your game plan. Perfect for data engineers, AI leaders, and CTOs ready to ditch operational headaches and embrace "boringly reliable" technology that accelerates innovation while minimizing risk. Tune in to discover how to build smarter, scale faster, and focus on what truly matters—your customers.Apple @ https://podcasts.apple.com/us/podcast/generate-now/id1566458654Spotify @ https://open.spotify.com/show/43XcU8A1dsNfW3YGT8KXhp?si=62e09c6df65b4dc9&nd=1&dlsi=e9e6a138e7064929Youtube @ https://www.youtube.com/@generatenowpodcast/featuredConnect with Oded @ https://www.linkedin.com/in/odedkal/Perry @ https://www.linkedin.com/in/perrykrug/James @ https://www.linkedin.com/in/jmcaton/

Regaining clarity at work is one of the biggest challenges developers face as responsibilities grow, distractions multiply, and expectations rise. Burnout rarely appears overnight. More often, it creeps in quietly—through constant context switching, mental fatigue, and the feeling that you're busy all day but not making real progress. For developers and technical leaders, clarity isn't a "nice to have." It's what allows you to make good decisions, focus deeply, and enjoy the work you're doing. Without it, even small tasks feel heavier than they should. About Andrew Hinkelman Andrew Hinkelman is a certified executive coach and former Chief Technology Officer who works with tech founders, CTOs, and engineering leaders to strengthen their leadership and people skills. With over 25 years of corporate experience, including 8 years as a CTO, Andrew understands firsthand the pressures technical leaders face as they move from hands-on execution to leading teams and organizations. His coaching focuses on helping leaders build trust, develop others, and stay strategic as responsibilities grow. Andrew's philosophy is simple: all professional development is personal improvement. After experiencing burnout in his own leadership journey—constantly stepping in to fix problems and being needed by everyone—he learned the value of trusting his team instead of controlling outcomes. Today, Andrew helps leaders avoid that same trap by building resilient teams, focusing on relationships, and creating environments where others can succeed. Follow Andrew on Instagram and LinkedIn. Why Regaining Clarity at Work Matters for Developers When regaining clarity at work starts to slip, the symptoms are subtle at first. Decisions take longer. You second-guess yourself more often. Work that once felt engaging starts to feel draining. This isn't a motivation problem. It's a clarity problem. Developers often push through this phase by working longer hours, assuming effort will fix it. In reality, the lack of clarity compounds the problem—leading to frustration, reduced quality, and eventually burnout. How Distractions Undermine Regaining Clarity at Work Modern work environments make regaining clarity at work especially difficult. Messages, emails, meetings, and notifications constantly pull attention away from focused thinking. Even well-intentioned tools can fragment your day into shallow work. The issue isn't that developers aren't capable of focus—it's that focus is constantly interrupted. Over time, this makes it harder to think clearly, prioritize effectively, or feel confident in decisions. The result is mental overload, not progress. Regaining Clarity at Work Through Better Daily Habits One of the most practical ways to regain clarity at work is by examining daily habits. Not in a rigid or extreme way, but by noticing patterns. What creates a good day? What leaves you feeling depleted? Sleep, movement, downtime, and boundaries play a much larger role in clarity than most developers expect. Clarity isn't created in moments of intensity—it's supported by consistency. Self-Discipline as a Foundation for Regaining Clarity at Work Self-discipline is often misunderstood as pushing harder. In reality, it's about protecting the habits that keep your energy stable. Waiting for weekends or vacations to reset burnout doesn't work if every weekday drains you. Regaining clarity at work means building routines that prevent depletion before it happens. Regaining Clarity at Work by Trusting Yourself When developers feel stuck, the instinct is often to search for more input—another article, another video, another framework. But more information rarely creates clarity. In many situations, you already know how to handle the challenge in front of you. Learning to pause, quiet your mind, and trust your experience can be more effective than consuming more advice. Regaining clarity at work often comes from removing noise, not adding insight. Regaining Clarity at Work with Allies and Peer Support Clarity is much easier to regain when you're not working in isolation. Talking through challenges with trusted peers helps break mental loops and introduce new perspectives. These allies don't need to be your manager. In fact, regaining clarity at work often comes faster when support comes from peers across teams or outside your organization—people who understand the context but aren't tied to the outcome. Expanding Beyond Your Manager to Regain Clarity at Work Strong peer relationships act as soundboards. They help you reality-check assumptions, think through decisions, and feel less alone in complex situations. Over time, these relationships become one of the most reliable ways to avoid burnout. Regaining Clarity at Work with Coaching and AI Tools Coaching and AI tools can both support regaining clarity at work, but they serve different roles. Some developers find value in AI prompts or structured reflection. Others need human conversation, body language, and shared experience. For many, a hybrid approach works best—using tools when they're helpful, and people when nuance, accountability, or emotional context matters. The goal isn't to replace connection, but to support clarity when it's needed most. Signs You're Losing Clarity at Work Constant distraction, overthinking, and decision fatigue Relying on weekends or time off as the only recovery strategy Simple Habits That Restore Clarity Daily actions that protect energy and focus Consistency over intensity when rebuilding clarity When to Use Coaching, AI, or Allies Choosing the right support for the situation Combining human insight with practical tools Conclusion Regaining clarity at work isn't about doing more—it's about doing what matters consistently. By protecting your energy, trusting yourself, and leaning on the right support, developers can avoid burnout and move forward with confidence. Take one small step this week toward regaining clarity at work, and start building habits that support sustainable, focused growth. Stay Connected: Join the Developreneur Community We invite you to join our community and share your coding journey with us. Whether you're a seasoned developer or just starting, there's always room to learn and grow together. Contact us at info@develpreneur.com with your questions, feedback, or suggestions for future episodes. Together, let's continue exploring the exciting world of software development. Additional Resources Detecting and Avoiding Burnout Three Ways To Avoid Burnout Avoid Burnout – Give Time To Yourself Building Better Foundations Podcast Videos – With Bonus Content

At Davos this year, some of the biggest names in tech sent a clear signal. AI is no longer a novelty. It is no longer a proof-of-concept exercise. As Demis Hassabis of Google DeepMind suggested, AI will shape more meaningful work. And Satya Nadella of Microsoft was even more direct. AI only matters if it improves real outcomes for people. So what does that look like inside the enterprise? In this episode of Tech Talks Daily, I'm joined by Andrew Boyagi, Customer CTO at Atlassian, to unpack how the conversation has shifted from experimentation to execution. Developers, in many ways, are the perfect lens for understanding this moment. Over the last two decades, their role has expanded far beyond writing code. They now own products, infrastructure, operations, and business outcomes. AI is simply the next chapter in that evolution. Andrew argues that AI will not replace engineers. It will raise expectations. As intelligent tools absorb repetitive work, the real value moves up the stack. System design. Architectural thinking. Reviewing and refining AI-generated output and orchestrating solutions that solve genuine business problems. And through it all, humans remain firmly in the loop. We also explore what this means for leadership, why mindset is starting to matter more than technical skill alone, how organizations can avoid layering AI on top of broken processes. And why the companies pulling ahead are treating AI as a strategic discipline, not a feature upgrade. This is a conversation grounded in reality. It speaks to product leaders, CTOs, CIOs, and anyone asking a simple but powerful question. If we are investing in AI, what are we actually getting back? And before we close, we look ahead to Team '26 and the themes Andrew and his team are already working on.  If this year has been about proving value, what will the next chapter demand from enterprise leaders? As always, I'd love to hear your thoughts. Are you seeing proof of value in your organization yet, or are you still working through the pilot phase?

For many developers and engineering leaders, executive coaching feels like something you turn to only when things go wrong. We're trained to solve problems, push through obstacles, and rely on our own expertise. So when progress slows, the default reaction is often to work harder—not to step back and reassess. That's exactly why executive coaching can be so valuable when used intentionally. At its best, coaching isn't about fixing weaknesses. It's about uncovering blind spots, challenging assumptions, and helping capable leaders see where their habits are limiting growth. When the fit is right, coaching brings clarity and momentum. When it's wrong, it simply adds noise. About Andrew Hinkelman Andrew Hinkelman is a certified executive coach and former Chief Technology Officer who works with tech founders, CTOs, and engineering leaders to strengthen their leadership and people skills. With over 25 years of corporate experience, including 8 years as a CTO, Andrew understands firsthand the pressures technical leaders face as they move from hands-on execution to leading teams and organizations. His coaching focuses on helping leaders build trust, develop others, and stay strategic as responsibilities grow. Andrew's philosophy is simple: all professional development is personal improvement. After experiencing burnout in his own leadership journey—constantly stepping in to fix problems and being needed by everyone—he learned the value of trusting his team instead of controlling outcomes. Today, Andrew helps leaders avoid that same trap by building resilient teams, focusing on relationships, and creating environments where others can succeed. Follow Andrew on Instagram and LinkedIn. What executive coaching actually does Leadership coaching is frequently misunderstood, especially in technical environments. It's not mentoring, consulting, or performance management. Rather than providing answers, a coach helps leaders examine how they think, make decisions, and show up—particularly under pressure. This kind of perspective is difficult to gain from inside your own day-to-day context. For technical leaders, this distinction matters. Many engineers advance by being exceptional problem solvers. Over time, that strength can become a constraint. Coaching helps leaders recognize when execution, control, or perfectionism starts to limit influence, trust, and scale. At its core, this work builds awareness—and awareness is what enables meaningful change. When executive coaching is the right move Coaching isn't necessary at every stage of a career. If progress feels steady and challenges are manageable, it may not add much value. However, it becomes especially useful during moments of transition or tension, such as: Stepping into a new leadership role Navigating organizational or team change Feeling stuck despite sustained effort Noticing that familiar approaches no longer work These moments often signal that your environment has changed—but your operating model hasn't. A strong coaching relationship helps leaders adapt intentionally instead of reacting out of habit. Executive coaching for leaders in new roles New leadership roles come with unspoken expectations. Success is no longer defined purely by output, and feedback becomes less direct or less frequent. Many leaders assume they need to "get everything under control" before working with a coach. In reality, coaching is most effective when things still feel unclear. That uncertainty highlights where growth is needed—whether in communication, prioritization, delegation, or decision-making at scale. You don't need to show up polished. You need to show up honestly. What a real coaching engagement looks like One common misconception is that leadership coaching is a one-time conversation or a motivational reset. In practice, effective coaching is an ongoing engagement built around clarity, feedback, and behavior change over time. It starts with defining what success actually looks like—not in abstract terms, but in concrete outcomes that matter to you and your organization. From there, the work focuses on identifying what's getting in the way. Often, these are habits that once helped you succeed but now create friction. If they were obvious, you would have addressed them already. Many engagements begin with structured feedback to ground the work in reality. This helps align self-perception with impact and reduces guesswork. It's not about judgment—it's about accuracy. How to evaluate coaching fit Coaching is a relationship, not a transaction. Talking to multiple coaches isn't optional—it's essential. A strong indicator of fit is experiencing a real working session rather than a polished sales call. Pay attention to how the coach listens, challenges assumptions, and guides reflection. Productive discomfort is often a good sign. If you leave a session seeing a situation differently or questioning a long-held belief, growth is likely. If you leave feeling simply validated, it probably isn't. Red flags that signal a poor coaching fit Coaching is not a rescue tool for poor performance. When someone is disengaged or unwilling to grow, it rarely works. Another red flag is a coach who consistently agrees with you. Comfort feels good in the moment, but it doesn't change behavior. Effective leadership development introduces intentional, constructive friction that leads to insight. Executive coaching during burnout and plateaus Burnout often comes from effort without impact. Leaders work longer hours, take on more responsibility, and still feel stuck. Coaching can help identify a keystone goal—the one focus area that makes everything else easier. It also helps leaders stop over-investing emotional energy in things outside their control, which is a common and costly source of exhaustion in senior roles. Executive Coaching Checklist Signs coaching may help you move forward Indicators that a coach will challenge rather than placate Coaching Fit Test: One Session What a meaningful trial session should reveal How to tell if the coach will stretch your thinking Stuck or Burned Out? Find the Keystone Goal How to identify the one change that unlocks momentum A reset approach for overwhelmed leaders Conclusion Executive coaching isn't about hiring someone to give advice—it's about choosing a partner who helps you see yourself and your situation more clearly. If you're navigating change, feeling stalled, or sensing that effort isn't translating into progress, this kind of support may be less about doing more and more about seeing differently. Stay Connected: Join the Developreneur Community We invite you to join our community and share your coding journey with us. Whether you're a seasoned developer or just starting, there's always room to learn and grow together. Contact us at info@develpreneur.com with your questions, feedback, or suggestions for future episodes. Together, let's continue exploring the exciting world of software development. Additional Resources Embrace Coaching To Advance Your Career Giving Back As A Mentor, Coach, and Lead Detecting and Avoiding Burnout Building Better Foundations Podcast Videos – With Bonus Content

How do organisations move from AI prototypes to production-ready large language model systems? In this leadership podcast, Niels Brabandt interviews data scientist and author Laura Funderburk, who explains how executives can build reliable, scalable, and responsible LLM pipelines. Key insights include: Why most LLM initiatives fail after prototype stage  How executives can manage hidden costs and total cost of ownership  Why context engineering and data infrastructure are critical  How to ensure governance, evaluation, and regulatory compliance  A practical 90-day roadmap for deploying production-ready LLM systems  This episode is essential listening for executives, CIOs, CTOs, and decision-makers responsible for AI strategy. Host: Niels Brabandt / NB@NB-Networks.com Contact to Niels Brabandt: https://www.linkedin.com/in/nielsbrabandt/ Niels Brabandt's Leadership Letter: https://expert.nb-networks.com/ Niels Brabandt's Website: https://www.nb-networks.biz/ 

If your podcast has 10,000 downloads and only two sales meetings, Jason's take is blunt: you're doing everything wrong. In this solo episode of Pipe Dream, host Jason Bradwell breaks down why most B2B podcasts become expensive therapy sessions for executives who like hearing themselves talk, and more importantly, how to fix it. Jason's core point is clear: downloads don't pay salaries, pipeline does. Most B2B podcasts fail commercially for four reasons. They borrow strategy from B2C entertainment instead of building revenue assets. They optimise for vanity metrics because that's what vendors sell. They exist in a silo with no connection to sales motion or funnel stages. And the generic interview format doesn't map to the buyer journey. The problem isn't production quality or download numbers. The problem is that marketing makes the show, sales doesn't know it exists, and when sales don't use it, it's just an expensive content theatre. One 45-minute conversation with a random influencer doesn't help a prospect at the consideration stage trying to figure out if you can actually deliver results, or help a champion sell your solution internally to their CFO. Instead of downloads, impressions, and social shares, here's what actually matters. Leading indicators like enterprise guests booked from your ABM lists, meetings created attributed to podcast touch, and accounts touched. Commercial outcomes like deal stage acceleration, rep usage in sequences and discovery calls, and pipeline influenced. That's the difference between vanity metrics and revenue metrics. One makes marketing feel busy, the other moves the business forward. Jason shares a real example. A B2B tech company ran a podcast for 18 months with 40 episodes, a few thousand downloads, and zero pipeline influence. They interviewed random influencers because "that's what podcasts do." Their sales team had never heard of the show. B2B Better killed the influencer strategy and started interviewing their own clients, CTOs and engineering leaders who'd worked with them but would never sign traditional case studies due to compliance constraints. They packaged content as battle cards and sales enablement artifacts, not social clips. Within 90 days, sales used clips in 60% of discovery calls, influenced £3 million in pipeline, and improved outbound reply rates by 34% when reps included a 92-second client clip in sequences. Same production effort, completely different outcome. The only difference was strategy. Here's the process. Audit your funnel gaps to find where deals actually stall. Map content to that stage. Design multi-segment episodes that serve different funnel stages, not one 45-minute interview that does nothing particularly well. Package for sales with battle cards, objection handlers, and committee packs. Measure commercial impact through meetings created, accounts touched, pipeline influenced, and deal velocity, not downloads. If you can't answer "which specific deals will this help us close," you're not ready for a podcast. You don't have a content problem, you have a strategy problem. Stop trying to be Joe Rogan. You're building a revenue asset, not an entertainment show. Chapter Markers 00:00 - Why downloads don't pay salaries, pipeline does 01:00 - The word podcast has become a red herring 02:00 - Four reasons B2B podcasts fail commercially 03:00 - No connection to sales motion equals content theatre 04:00 - Revenue metrics that actually matter 05:00 - Real example: Zero to £3 million pipeline influenced 06:00 - The process: Audit, map, design, package, measure 07:00 - Multi-segment episodes serving different funnel stages 08:00 - Most teams shouldn't have a podcast yet 09:00 - The activation test: Ask sales if they've used it Useful Links Connect with Jason Bradwell on LinkedIn Listen to Pipe Dream Podcast on Podbean HubSpot ABM reporting guide for tracking accounts touched Explore B2B Better website and the Pipe Dream podcast 

Podcast: Industrial Cybersecurity InsiderEpisode: Former NSA now Founder & CTO Breaks Cybersecurity Down: Satellites to ManufacturingPub date: 2026-02-10Get Podcast Transcript →powered by Listen411 - fast audio-to-text and summarizationDino sits down with Dick Wilkinson, CTO and co-founder of Proof Labs, to explore the intersection of space technology and industrial cybersecurity.Dick shares his 20-year journey in the U.S. Army with the National Security Agency, transitioning from signals intelligence to becoming a CISO for critical infrastructure organizations, including New Mexico's Supreme Court and the Albuquerque water authority.The conversation dives deep into the challenges of securing satellite systems with onboard intrusion detection and the persistent gap between IT and OT security teams. We also explore why the "castle wall" perimeter security model is dangerously outdated.Dick reveals how AI is lowering the barrier to entry for both attackers and defenders, and discusses the real-world applications of satellite communications in oil and gas operations.He also introduces a revolutionary physical layer-one air gap device called Goldilock Secure, which could transform how we protect remote industrial assets.This episode is essential listening for CISOs, CTOs, and security leaders looking to understand emerging threats in space-based infrastructure and practical solutions for securing distributed industrial environments.Chapters:(00:00:00) - Dick's Journey: From NSA to Space Cybersecurity(00:04:32) - What is Proof Labs and Why Space Security Matters(00:08:15) - Satellites as OT Assets: Oil, Gas, and Critical Infrastructure(00:12:47) - How Onboard Intrusion Detection Works in Spacecraft(00:16:23) - The Castle Wall Problem: Moving Beyond Perimeter Security(00:19:41) - IT vs OT: Bridging the Gap in Manufacturing Cybersecurity(00:24:18) - AI's Impact: Lowering the Barrier for Attackers and Defenders(00:27:35) - The Visibility Challenge: Why Most Plants Don't Know Their Assets(00:30:12) - Goldilock Firebreak: A Physical Air Gap Device That Changes Everything(00:35:20) - Real-World Applications for Remote Industrial Asset ProtectionLinks And Resources:Want to Sponsor an episode or be a Guest? Reach out here.Dick Wilkinson on LinkedInProof Labs WebsiteIndustrial Cybersecurity Insider on LinkedInCybersecurity & Digital Safety on LinkedInBW Design Group CybersecurityDino Busalachi on LinkedInCraig Duckworth on LinkedInThanks so much for joining us this week. Want to subscribe to Industrial Cybersecurity Insider? Have some feedback you'd like to share? Connect with us on Spotify, Apple Podcasts, and YouTube to leave us a review!The podcast and artwork embedded on this page are from Industrial Cybersecurity Insider, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

AI coding tools are writing more code than ever, but your software isn't shipping any faster. Welcome to the AI Paradox and the solution, intelligent orchestration.Bill Staples, CEO of GitLab, explains why AI-accelerated coding is actually creating massive downstream bottlenecks in code reviews, security checks, and deployment, and why adding more AI tools only makes the problem worse. GitLab's solution: intelligent orchestration across the entire software development lifecycle.You'll discover:✅ The "AI Paradox:" why faster coding isn't translating into faster software delivery✅ How tool fragmentation and context-switching are killing developer productivity✅ Why agents that thrive on context fail when your tools are siloed✅ The "inner loop architecture" that makes AI agents 40% more accurate and 25% faster✅ How GitLab's intelligent orchestration approach combines workflows, context, and guardrails✅ Why mid-level developers are about to become strategic orchestrators (not just coders)✅ The exact metrics CIOs should track, and why "lines of code" is the wrong one✅ First steps: audit, consolidate, and pilot before going all-in on AI⏱️ TIMESTAMPS0:00 The AI Paradox: Why faster coding doesn't mean faster delivery1:10 How tool fragmentation creates developer bottlenecks3:40 Why AI agents make complexity worse (not better)5:12 Solving the AI automation problem: people, process, and technology6:36 Inner loop architecture: co-locating agents and data9:14 Intelligent orchestration: workflows, context, and guardrails10:32 How GitLab's knowledge graph supercharges agent accuracy12:49 Universal guardrails for humans and AI agents13:39 Real-world results: 2-3x more merge requests, pipeline fixes in minutes15:00 Common threads driving customer success16:36 How AI transforms the mid-level developer's role19:06 Advice for CIOs and CTOs putting this into practice20:49 First steps: audit, measure, and pilot22:45 Core metrics to evaluate AI's real value25:02 Wrap-up

What happens when leaders are confident about AI, but the people expected to use it are not ready? In this episode of Tech Talks Daily, I sat down with Caroline Grant from Slalom Consulting to explore one of the most persistent tensions in enterprise AI adoption right now. Boards and executives are spending more, moving faster, and expecting returns sooner than ever, yet many organizations are struggling to translate that ambition into outcomes that scale.  Caroline brings fresh insight from Slalom's latest research into how leadership, culture, and workforce readiness are shaping what actually happens next. We unpack a clear shift in ownership for AI transformation, with CTOs and CDOs increasingly leading organizational redesign rather than HR. That change reflects how deeply AI now cuts across technology, operations, and business models, but it also introduces new risks.  Caroline explains why sidelining people teams can create blind spots around skills, incentives, and trust, especially as roles evolve and uncertainty grows inside the workforce. The result is what Slalom describes as a growing AI disconnect between executive optimism and day-to-day reality. Despite the noise around job losses, the data tells a more nuanced story. Many organizations are creating new AI-related roles at a pace, yet almost all are facing skills gaps that threaten progress. We talk about why reskilling at scale is now unavoidable, how unclear career paths fuel employee distrust, and why focusing only on technical capability misses the human side of adoption.  Caroline also challenges assumptions about skill priorities, warning that deprioritizing empathy, communication, and change leadership could undermine effective human-AI collaboration. We also dig into ROI expectations, with most UK executives now  expecting returns within two years. Caroline shares why that ambition is achievable, where it breaks down, and why so many organizations remain stuck in pilot mode. From governance and decision rights to culture and leadership behavior, this conversation goes beyond tools and platforms to examine what separates experimentation from fundamental transformation. As AI becomes a test of leadership as much as technology, how are you closing the gap between vision and execution within your organization, and are you building a workforce that can keep pace with change rather than resist it? Connect With Caroline Grant from Slalom Consulting The Great AI Disconnect: Slalom's Insights Survey Learn More About Slalom

Análise e comentário da Maria Inteligente e do Manuel GénioA inteligência artificial já não é uma tecnologia do futuro, é uma realidade do presente que está a redefinir a competitividade empresarial. No entanto, 70% das iniciativas de transformação digital falham, não por limitações tecnológicas, mas por falhas na gestão de mudança.Para CEOs, CTOs e outros executivos de topo, a questão não é se devem adotar AI, mas como fazê-lo de forma que a organização não apenas aceite, mas abrace esta transformação.Acompanhe o dia-a-dia da Maria Inteligente e o Manuel Génio no Instagram:Maria Inteligente

"il faut être convaincu de la valeur humaine" Le D.E.V. de la semaine est Jean-Marc Leglise, CTO et accompagnateur de CTOs. Avec 25 ans d'expérience et CTO depuis 15 ans, Jean-Marc partage son parcours : des petites équipes aux organisations IT de 120 personnes, il a appris à naviguer entre technique et management. Au fil de l'épisode, il aborde les réalités peu partagées du métier : pression constante, décisions sous contraintes, pièges à éviter et lucidité à conserver. Son credo, appris "the hard way" : le facteur humain est souvent le déterminant de la réussite ou de l'échec et on l'apprend rarement à l'école. Il nous livre des clés pour piloter les équipes dans l'incertitude et tirer des enseignements concrets des situations difficiles.Chapitrages00:00:53 : Introduction au Métier de CTO00:14:53 : L'Importance de l'Humain dans les Projets00:18:58 : Facteurs Humains et Projets00:22:23 : La Gestion des Deadlines00:28:31 : Relations entre Équipes Produit et Technique00:35:27 : Évolution des Métiers Techniques00:42:04 : L'Apprentissage par l'Erreur00:48:32 : Maintenir la Lucidité en Contexte de Stress00:54:58 : Motivation et Impact du Rôle de CTO00:59:51 : Ressources à Partager01:00:48 : Conclusion et Remerciements Liens évoqués pendant l'émission Magazine "Programmez" 🎙️ Soutenez le podcast If This Then Dev ! 🎙️ Chaque contribution aide à maintenir et améliorer nos épisodes. Cliquez ici pour nous soutenir sur Tipeee 🙏Archives | Site | Boutique | TikTok | Discord | Twitter | LinkedIn | Instagram | Youtube | Twitch | Job Board |Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Join Gonçalo Gil, CEO and Co-founder of ROOTKey, for an inside look at the high-stakes world of cybersecurity. As a former world-ranked ethical hacker, Gonçalo has transitioned from the offensive frontlines to building the next generation of cyber resilience. In this episode, we explore how AI has leveled up the capabilities of cybercriminals—allowing them to automate attacks with unprecedented speed and sophistication—and why traditional defense is no longer enough. Learn how ROOTKey is leveraging blockchain and zero-trust frameworks to ensure that even when an attack occurs, data remains immutable, verifiable, and quickly recoverable.

Confirm uses organizational network analysis to surface hidden high performers and toxic actors that traditional performance reviews miss - identifying the quiet contributors everyone relies on and the problematic employees who manage up effectively. In this episode of BUILDERS, I sat down with David Murray, Cofounder & CEO of Confirm, to dissect their most painful go-to-market lessons. David shares why leading with methodology superiority torpedoed their early sales, the specific discovery framework that flipped their win rate, and how they segment the four distinct HR buying motions that require completely different sales approaches. Topics Discussed: Why traditional performance reviews are 60% manager bias according to research by Maynard Goff How organizational network analysis identifies introverted high performers and manages-up toxic actors The catastrophic early GTM mistake: positioning against existing processes Discovery frameworks for conservative buyers in compliance-heavy functions Talk ratio targets and silence techniques from clinical psychology applied to enterprise sales Channel testing methodology that identified LinkedIn ads as their primary acquisition driver The four-quadrant framework for HR sales: CHRO vs line manager, company-wide vs HR-only tools Messaging strategies that balance shock factor with substantive education GTM Lessons For B2B Founders: Discovery trumps differentiation in category creation: Confirm's design partner had promoted toxic employees and lost quiet high performers in the same cycle—a perfect case study for their ONA methodology. But when they pitched other HR leaders with "here's why your approach is broken," they hit walls. The shift: stop selling methodology, start diagnosing pain. Reference what you've observed at similar companies—"Some folks at your size tell us they struggle with X, is that true for you?"—then let prospects surface their version of the problem. Only after they've articulated their pain do you map your differentiated approach to their specific context. Target buyer timing, not just buyer titles: Confirm identified a specific trigger: HR leaders in their first 1-2 months at a new company. These leaders are hired to make change and need early wins. The outreach question: "How are you looking to make your mark?" This surfaces whether they're hungry for innovation or managing political capital. A newly hired CHRO has different motivations than a 5-year veteran protecting their process choices. Map your outreach to career timing, not just seniority. Enforce 50/30/20 talk ratios in discovery: David's target: prospects speak 60-80% of discovery calls, with 50% being acceptable. If you're talking more than half the time, you're pitching, not discovering. The clinical psychology technique: positive encouragers ("yeah," "huh") plus deliberate silence after open-ended questions. Prospects will fill silence with the real issues—budget constraints, political dynamics, past vendor failures. This intel is gold for multi-threading and objection handling later. Test channel-message fit with minimal spend: Confirm's approach: "do everything a little bit and see what sticks." They found LinkedIn ads with precise targeting (title, company size, recent job changes) delivered qualified pipeline cost-effectively, while other channels didn't. The framework: allocate 10-15% of budget across 5-6 channels for 60 days, measure cost-per-qualified-meeting, then concentrate spend. Plan for 3-6 month creative refresh cycles as audiences develop ad fatigue—this isn't set-and-forget. Map your product to the HR buying matrix: David identifies four distinct quadrants: (1) CHRO buyer, company-wide deployment = traditional enterprise sale, 6-18 month cycles, heavy multi-threading required; (2) CHRO buyer, HR-only tool = shorter cycles but still executive selling; (3) Line manager buyer, company-wide = requires bottom-up adoption mechanics; (4) Line manager buyer, HR-only = SMB-style transactional sale. Confirm operates in quadrant 1—the longest, most complex sale. Most founders don't explicitly map which quadrant they're in, leading to mismatched sales motions and blown forecasts. Use provocative messaging with technical substance: "One-click performance reviews" generated meetings because it triggered both excitement (managers hate writing reviews) and concern (is AI replacing human judgment?). The key: the shock factor gets the meeting, but you need depth on the call. Confirm's explanation: the AI aggregates data from Asana, Jira, OKRs, peer feedback, and self-reflections to reduce recency bias, then generates a draft managers edit. The dystopian concern becomes a feature when you explain the data anchoring. Surface-level shock without technical credibility burns trust. Adjust for organizational risk tolerance by function: HR and healthcare share conservative buying cultures due to compliance, documentation, and legal requirements. David contrasts this with selling to CTOs or engineers who "kick tires and want to break things." This affects everything: longer evaluation cycles, more stakeholders in legal/compliance, emphasis on security and data handling, reference checks weighted heavily. If you're selling to risk-averse functions, adjust your content (white papers, compliance documentation), your timeline expectations, and your change management positioning. Reframe education as extraction, not instruction: David's mental model shift: "I need to learn from them" replaced "I need to educate them." In practice: "I've heard from others that calibration meetings consume 10+ hours per cycle with unclear outcomes. They tried approaches like forced ranking or manager-only decisions. Have you experimented with either?" This positions you as a pattern-matcher across their peer group, not a lecturer. They become receptive to alternatives because you've demonstrated you understand their world through other customers' experiences. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

AI pilots are not the story anymore. The real story is who can turn AI into everyday, reliable work. Here at AWS re:Invent, I had the chance to sit down with Arvind Jain, Founder and CEO of Glean, for a conversation I have wanted to do for a long time!!!!We spoke about why so many enterprises are stuck in pilot mode and what actually has to change for AI to move from experiments to real impact on how people work. Arvind went deep on why enterprise context is still missing in most AI projects and what it looks like in practice when you finally get that piece right.We also talked about what CIOs and CTOs are really worried about this week at re:Invent. Not the buzzwords, but the hard problems around adoption, scale, and the misconceptions that keep slowing teams down!Since so many organizations here already run on AWS, I asked Arvind how the Glean and AWS partnership shows up in the real world. He shared how customers are thinking about reliability, security, and scale, and what a simple, low-risk starting point looks like if you want to see value fast.To close it out, Arvind shared one clear prediction for where AI is heading by 2026 and how it will change the way organizations think about work.Thanks Arvind Jain for always sharing amazing insights!!!!#data #ai #awsreinvent #aws #agents #awscompetencypartners #agenticai #theravitshow

Matt is joined by Karell Ste-Marie, founder of The Serious CTO YouTube channel. Together, they tackle one of the biggest hidden challenges in software companies: the language and cultural barrier between engineers and executives.Karell and Matt break down why innovation is so rare in large organizations, why engineers and business leaders often talk past each other, and how the CTO role often becomes the critical bridge between the two worlds.Key Discussion PointsThe cultural resistance to change inside enterprisesHow introversion and communication style shape engineering cultureWhy the best CTOs speak “both languages”Lessons from mistakes made on the path to leadershipResources & LinksThe Serious CTO on YouTube – Karell's channel where he shares insights on engineering leadershipProduct Driven - Get the BookSubscribe to the Product Driven NewsletterWhat Smart CTOs Are Doing Differently With Offshore Teams in 2025Subscribe to the Global Talent SprintFull Scale – Build your dev team quickly and affordably

THIS is how you keep your infrastructure costs from spiraling out of control. Today, we're talking to Albert Strasheim, CTO at Rippling. We discuss the cost crisis facing CTOs in the age of AI, how he reduced infrastructure costs by 30% while growing traffic by 25%, and why holding back feedback is actually the most selfish thing a leader can do. All of this right here, right now, on the Modern CTO Podcast!  To learn more about Rippling, check out their website here.

In our latest episode, co-hosts Robby and Tim talk with Julien Mangeard, Co-Founder of open source backup platform Plakar. Plakar's open source, also called plakar, has 1.5K stars on GitHub and provides a backup solution powered by open source, immutable data store Kloset.The podcast discusses why data backup remains a critical but unsolved problem, especially as the number of data sources has exploded across SaaS applications, cloud databases, and on-prem systems. For CISOs and CTOs, this complexity makes it increasingly difficult to ensure everything is done “the right way.” The core argument is that the only truly safe approach is maintaining an independent, secure copy of your data - without vendor lock-in and with guaranteed long-term access, sometimes for decades. End-to-end encryption, immutable storage, and compatibility with different storage backends are emphasized as essential foundations rather than optional features.The conversation contrasts hype-driven cloud-only backup companies like Eon with Plakar's back-to-basics approach: an open source, resilience-focused system designed to handle large and diverse datasets securely. Built around an immutable storage engine (Kloset), Plakar aims to let individuals or small teams manage their own backups while also supporting collaboration at scale. The founder's motivation is rooted in personal experience- having previously lost critical data as a CTO - which reinforced the need for security, openness, and community involvement to continuously add and validate new data sources in a rapidly evolving data landscape.

Join Siva Surendira, CEO & Founder of Lyzr, in a deep-dive conversation with Gary Fowler as they explore how Agentic AI is moving beyond demos and pilots into secure, production-grade enterprise systems. Learn what it really takes to design, govern, and scale AI agents that deliver measurable business outcomes across large organizations.

CTO, der oder die da oben, macht bestimmt nur PowerPoint, oder? Oder ist die Rolle am Ende das schwierigste C-Level, weil du gleichzeitig Tech, Business, Menschen und Politik zusammenhalten musst, ohne zum Bottleneck zu werden?In dieser Episode nehmen wir die CTO-Rolle auseinander, inklusive typischer Missverständnisse. Wir klären, warum ein CTO nicht zwingend der beste Engineer im Raum sein sollte, wie du vermeidest, dass Entscheidungen nur durch ein Schlüsselloch betrachtet werden, und warum gute CTOs vor allem eines tun: zwischen Business und Tech übersetzen, Prioritäten verhandeln und bewusst mit technischen Schulden umgehen.Zu Gast ist Philipp Deutscher, CTO Coach sowie Fractional und Interim CTO, also CTO as a Service. Er bringt Erfahrung aus IT Operations, DevOps und Platform Engineering mit und teilt konkrete Einblicke aus der Praxis: von CTO-Archetypen wie Founding CTO, Scale-up CTO, Corporate CTO und Field CTO bis hin zu den Unterschieden zwischen Interim- und Fractional-CTO. Außerdem sprechen wir über Tech Leadership, Stakeholder Alignment, KPI-Denken (Velocity, DORA Metrics, Availability) und darüber, warum Monitoring oft erst startet, wenn es schon brennt.Wenn du dich fragst, ob CTO ein Karriereziel für dich ist, bekommst du dazu auch eine klare Roadmap: Verantwortung übernehmen, sichtbar werden, die Perspektive wechseln. Und ja, Nine to Five reicht dafür selten.Neugierig, welcher CTO-Typ du wärst und wie du dich darauf vorbereitest? Dann rein in die Episode.Bonus: CTO-Titel sind günstig. Die Konsequenzen manchmal nicht.Unsere aktuellen Werbepartner findest du auf https://engineeringkiosk.dev/partnersDas schnelle Feedback zur Episode:

Samantha cuts through the AI hype to discuss what businesses are really experiencing, including thoughts on why investment in AI is high, yet value remains elusive - highlighting challenges with legacy technology, data, governance and workforce readiness.   Emphasising the crucial role of HR in shaping the future of work, working alongside tech and data leaders and the importance of cross-functional collaboration, Samantha highlights a striking insight from Slalom's research: empathy and communication are being deprioritised, even as these human skills become more important for trust, adoption and sustainable change.   Introducing the concept of AQ and the SHIFT framework, Samantha shows how organisations can build human and cultural foundations adept at dealing with continuous change, including AI adoption.   Her practical call to action for HR leaders: connect with your CTOs and CDOs, learn from each other, and help lead a future of work that balances technology with human needs.   How is AI really playing out? Slalom's new research Thank you to Slalom for sponsoring this week's podcast episode. Slalom is a business and technology consulting firm that believes meaningful change starts with people, helping organisations turn change into outcomes that actually last. If you're an HR leader navigating AI and wondering how to move from ambition to adoption, Slalom's latest research offers practical insights you can use right away. Slalom surveyed more than 2,000 global executives to understand how AI is really playing out, where investment is translating into value, where it isn't and, what that means for leadership, skills and cross functional alignment. Download your free summary here: Get Slalom's latest AI research Thanks again to Slalom for supporting the podcast, and thank you for being a brilliant HR Changemaker, we're excited to create more positive change together this year.

Why are tech companies really laying off developers? The uncomfortable truth has nothing to do with AI efficiency and everything to do with running out of ideas.In this episode, Stephan Schmidt, CTO coach and author of “The Amazing CTO's Missing Manual,” shares a perspective on AI adoption that most tech leaders aren't talking about. Developer layoffs aren't about AI replacing jobs; they reveal a deeper problem. Product management has become a bottleneck, creating shallow features just to keep developers busy rather than driving meaningful innovation. When AI accelerates development, this bottleneck becomes impossible to ignore.Stephan explains why architecture must be AI-ready before teams can benefit from AI tools, how CTOs can manage unrealistic business expectations, and why junior developers actually have a massive opportunity right now. He also challenges the common belief that vibe coding will democratize software development, explaining why you need to be a strong developer to prompt effectively.Key topics discussed:Why AI layoffs reveal companies ran out of good ideasArchitecture must be AI-ready for real productivity gainsVibe coding only works if you're already a strong developerProduct engineering roles will replace traditional developersMCP connections unlock AI value beyond code generationJuniors have huge advantage as AI-native engineersIterate on plans, not prompts, when using AI toolsCTOs can finally “rise and shine” using AI strategicallyTimestamps:(00:00) Trailer & Intro(03:19) How do companies become truly AI-first?(04:13) How should CTOs manage unrealistic AI velocity expectations?(08:35) AI Use Cases Beyond Code Generation(12:04) What is MCP and how does it unlock AI value?(15:04) Why Developers Resist AI Adoption(18:35) Are AI layoffs caused by a lack of product innovation?(21:22) What is the future for junior developers in the age of AI?(24:36) Critical Thinking and Moving Up the Abstraction Layer(27:24) Vibe Coding: Benefits and Pitfalls(31:59) What is the difference between a Developer and a Product Engineer?(35:59) Building an Effective AI Adoption Strategy(38:06) AI Adoption Strategy for Development Teams(40:44) Avoiding the AI Tech Zoo(44:48) How do tech leaders handle AI data privacy and security?(50:31) How is the CTO role changing in 2026?(57:23) 3 Tech Lead WisdomLike this episode?Show notes & transcript: techleadjournal.dev/episodes/243.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.

In this episode, Robin Merttens is joined by Andy Yeoman, CEO of Concirrus, to unpack how a key player in marine insurance tech has reinvented itself as a core platform provider for the specialty market, and what that transformation says about where the industry is heading.  Andy shares the thinking behind Concirrus' pivot from ship tracking to full risk lifecycle processing, what it takes to build end-to-end technology in just 18 months, and why underwriters, not just CTOs, are now leading the charge on system change.  In this conversation, Andy shares:  Why marine was just the beginning and why modern platforms must serve multiple lines with depth, not just breadth  What today's insurers really want from core systems: speed, interoperability and business outcomes  How Concirrus became an AI-first company and what that's meant for product delivery, talent and culture  The rise of the tech-fuelled MGA and why they're now the “risk entrepreneurs” to watch  How verticalised platforms are winning over underwriters by solving for class-specific nuance  What the shift from admin-heavy roles to empowered underwriting means for job satisfaction and talent retention  Why managing change is as important as building tech and what Concirrus learned from its own internal AI adoption  What's next for insurance infrastructure as constraints fall away and innovation accelerates If you like what you're hearing, please leave us a review on whichever platform you use or contact Robin Merttens on LinkedIn.  Sign up to the InsTech newsletter for a fresh view on the world every Wednesday morning.

Let me describe a morning that might sound familiar. You wake up. Before your feet hit the floor, you have already grabbed your phone. You are scrolling LinkedIn. Checking emails. A client has chased. A candidate has pulled out. There is a message from a team member about a problem. And suddenly, before you have even had a coffee, you are in reactive mode. Putting out fires. Responding. Reacting. Sound familiar? Here is the thing. That pattern of starting the day in someone else’s agenda is costing you more than just peace of mind. It is costing you momentum, marketing consistency, and, ultimately, the growth you know your business can achieve. In this episode, I will share seven daily mindset habits to help you lead with intention rather than firefighting. These are not fluffy “think positive” suggestions. These are grounded, practical habits designed for recruitment business owners juggling delivery and growth in a noisy, competitive market. Before I get into the habits, let me provide some context on what we are doing here. This episode is the first in a series of podcasts we are releasing over the coming weeks, all focused on one question: how do you stand out in your sector in 2026? If you have read our 2026 Marketing Trends Report, you will know that the recruitment landscape is shifting. The companies winning right now are not the biggest or the best funded. They are the ones who have chosen a clear niche, built authority in that space, and consistently deliver content and conversations that matter. In this series, we will cover practical strategies to help you do exactly that. We will talk about content, visibility, LinkedIn, business development, and building your personal brand as a recruitment leader. But we are starting here, with mindset. Because here is what I have learned after eighteen years working with recruitment business owners: you can have the best marketing strategy in the world, but if your head is not in the right place, you will not execute it. You will start strong and then drift. You will get busy with delivery and let the marketing slide. You will tell yourself you will do it next week, and next week never comes. Before we get into tactics, we need to align your mindset. Think of this episode as laying the foundation that everything else will build on. Why Mindset Matters in 2026 Let me explain why this matters more now than ever. 2026 is shaping up to be one of the most challenging and opportunity-rich years for recruitment business owners. The market is noisier than ever. AI is moving fast, and everyone seems to be talking about it. Clients are more cautious with their hiring budgets. Candidate expectations are shifting. And the companies that are winning? They are not the biggest. They are the ones who have built authority in a niche, who show up consistently, and who market their expertise rather than fill roles. Most recruitment agencies are still running on old habits. Reactive. Transactional. Short-term. That worked when there were more vacancies than recruiters. It does not work now. Here is what I have noticed working with recruitment business owners over the past eighteen years: the ones who grow sustainably are not necessarily the ones with the best tech stack or the biggest team. They are the ones who protect their mindset. They lead their business rather than letting it lead them. Let me share seven daily habits that will give you an edge. Habit One: Start with Intent, Not Your Inbox The first habit is this: start your day with intent, not your inbox. When you grab your phone and dive straight into email or LinkedIn first thing in the morning, you have handed control of your day to everyone else. Your brain immediately goes into response mode. You become a firefighter. And firefighters do not build businesses. They stop things from burning down. Here is the two-minute ritual I want you to try. Before you open your inbox, before you scroll LinkedIn, ask yourself one question: “What one outcome would make today a win for the business?” Not ten things. Not a to-do list. One outcome. Maybe it is: “Have two quality BD conversations with target hiring managers.” Or: “Create and post one useful LinkedIn update for my niche.” Or: “Finish the proposal for that retained brief.” Please write it down. Protect time for it. Then, and only then, open your inbox. Let me paint you a picture. Imagine a recruitment owner called Sarah. She runs a small tech recruitment firm. Every morning, she would wake up, check her email immediately, and within ten minutes she would be responding to a client query, resolving a candidate issue, and following up with her consultant about a CV. By nine o’clock, she felt exhausted, and she had not done a single thing to grow her business. Sarah takes two minutes before touching her phone. She writes down her one outcome. This week, it was: “Send three personalised messages to CTOs in my target companies.” She does that first, before email. And here is what happened. She is now having more conversations with decision-makers than she has in months. At the same time. Same effort. Completely different results. Because she started with intent, not in the inbox. Habit 2: Manage Your Thoughts; “Is That Really True?” The second habit is about managing your thoughts. And this one might feel a bit different, but stay with me. Here is the truth: your thoughts about your business are not facts. They are stories. And some of those stories are holding you back. You know the thoughts I am talking about. “Clients are not spending.” “No one is replying on LinkedIn.” “I am terrible at content.” “The market is dead.” When you have a thought like that, and you will because you are human, I want you to pause and ask two questions: “Is that really true?” “What else could be true here?” Let me give you some examples. “Clients are not spending.” Is that true? Some clients are spending. They are just spending with recruiters who have clearly positioned their value. Maybe the question is not whether clients are paying. Maybe it is whether you are visible to the right ones. “I am terrible at content.” Is that true? Or have you not yet practised? Are you comparing yourself to someone who has been posting daily for five years? That is not a fair comparison. “No one is replying on LinkedIn.” Is that true? Or did you send three messages last week and expect a flood of responses? What if you sent thirty intentional messages over the next month? This habit is not about toxic positivity. It is about reducing drama and opening space for constructive, problem-solving thinking. When you catch yourself in a stressful thought, challenge it. Ask: Is that true? What else could be true? You will be amazed at how much clearer you think when you are not trapped in your own stories. Habit 3: Data-First, Not Drama-First Habit three is about data. Specifically, it is about making decisions based on what is happening, not what it feels like is happening. Here is what I mean. Many recruitment business owners run their businesses on mood. One good placement comes in, and it feels like things are going brilliantly. A candidate pulls out, and suddenly everything is terrible. That is drama-first thinking. And it leads to inconsistent decisions. What I want you to do is create a tiny daily dashboard. Nothing fancy. Just four or five numbers you look at every working day. Here is what I would suggest: How many new roles came in this week? How many shortlisted candidates are active? How many BD actions did you take, such as calls, messages, and conversations? How many visibility actions did you take, such as LinkedIn posts, content, or comments on client posts? Every day, take two minutes to look at those numbers. And ask yourself one question: “What is this data telling me to stop, start, or double down on today?” Maybe the data shows you had a great week for candidate shortlists, but you made no BD calls. That tells you where to focus today. Maybe the data shows you have posted three times on LinkedIn and got decent engagement, but you have not converted that into any conversations. That indicates you should include a call to action next time. Data-first thinking keeps your marketing and business development intentional, rather than reactive. It removes the drama from your decisions. Habit 4: Consistency Over Heroics Habit four is one I come back to again with the recruitment owners I work with. It is about consistency over heroics. Here is the pattern I see. An owner gets busy with delivery. BD and marketing slide. The pipeline empties. Panic sets in. They do a “big push, a flurry of calls, a burst of LinkedIn activity. A few leads come in. They get busy with deliveries again. The cycle repeats. This feast-or-famine approach is exhausting. And it does not work. What moves a recruitment business forward is consistency. Small, repeatable actions, every single working day. I call these your “minimum viable consistent actions.” They are the things you commit to doing even when you are busy, even when you do not feel like it. Here is what that might look like. Thirty to sixty minutes of focused BD or relationship-building, every working day. No exceptions. One small visibility action every day, whether that is a LinkedIn post, a thoughtful comment on a client’s content, or a useful insight shared in a DM. Notice I said “small.” I am not asking you to write a 2,000-word blog post every day. I am asking you to show up, consistently, in small ways. Here is the mindset shift. Instead of saying “I will do a big push when it is quieter, because let us be honest, it never really gets quieter, say this: “I touch my growth levers every single working day, even when it is busy.” And here is the identity piece. Start telling yourself: “I am the kind of owner who shows up, even when I do not feel like it.” That statement changes everything. Because once you believe it, you act on it. And once you act on it consistently, your business grows. Habit 5: Lead Relationships, Not Just Transactions Habit five is about relationships. And this is where recruitment business owners have a massive advantage, if they use it. In a market where AI can automate sourcing, where job boards are commoditised, and where every recruiter has access to the same databases, what is your edge? Relationships. Real, human, trust-based relationships. But here is the thing. Relationships do not happen by accident. They happen when you intentionally nurture them. So here is the daily habit: one intentional relationship touchpoint per day. That is it. One. It could be a client, candidate, referrer, or team member. And the touchpoint does not have to be complicated. Maybe you send a useful market insight to a hiring manager you have not spoken to in a while. Perhaps you check in on a candidate after a tough interview. Maybe you send a quick voice note to a team member to say well done on something. Maybe you comment thoughtfully on a client’s LinkedIn post. The key is intentionality. You are not reaching out because you need something. You are reaching out because you are building a long-term relationship. Here is the mindset shift: every interaction is a brand moment. Every email, every call, every message either builds trust or erodes it. After each interaction, ask yourself: “Did I leave this person clearer, calmer, or better informed?” If the answer is yes, you have just deposited into your relationship bank. And over time, those deposits compound. Habit 6: Think Like a Strategist, At Least Once Per Day Habit six is about stepping back and thinking like a strategist. And I know that when you are in the weeds of delivery, strategy can feel like a luxury. But it is not. It is essential. Here is a question I want you to ask yourself at least once every day: “Is what I am doing right now owner work or consultant work?” Let me explain what I mean. Consultant work is delivered. It is sourcing candidates, filling roles, managing processes, and responding to client requests. It is important work. It pays the bills. But it does not grow the business. The owner’s work is different. It is a strategy. Positioning. Marketing. Systems. Key relationships. It is the work that creates leverage and long-term value. Most recruitment business owners I meet spend 90% of their time on consulting and 10% on owner work. And then they wonder why the business is not growing. The daily habit is simple. Check in with yourself: “What mode am I in right now?” If you have spent the whole day on deliveries, carve out 30 minutes for owner work. Even fifteen minutes. Look for one small system you can improve. A template that would save time. An email sequence you could automate. A briefing process that needs tightening. Small improvements, compounded daily, move you from heroics to scalability. Habit 7: Close the Day with a Reset The final habit is about ending your day well. Because how you close today shapes how you start tomorrow. Here is a short end-of-day routine I would encourage you to try. It takes five minutes or less. First, note three wins from today. They do not have to be big. Maybe you had a good conversation with a client. Perhaps you posted on LinkedIn and got some engagement. Maybe you finally finished that proposal. Write them down. Second, note one lesson or improvement idea. Something you learned, something you would do differently, something you spotted that could be better. Third, decide on the one outcome that would make tomorrow a win. Sound familiar? Yes, this is where you set your intent for the next day, so you don’t have to figure it out when you are half-asleep tomorrow morning. Here is why this works. It builds momentum. Instead of every day feeling like a blur, one crisis rolling into the next, you start to see progress. You see wins stacking up. You see lessons accumulating. You see yourself improving. It creates a clear boundary between work and home. When you have closed the day properly, you can switch off. That is not a luxury. It is how you sustain this for the long term. INTEGRATION: Being Realistic Alright. I have just given you seven habits. That might feel like a lot. So let me be realistic with you. You will not do all this perfectly. Not tomorrow. Probably not next month. And that is okay. Here is what I would suggest. Pick one or two habits to start with. Just one or two. If I had to recommend a starting point, I would say: begin with “Start with Intent” and “Is That Really True?” Those two habits alone will shift how you show up every day. Commit to practising them every working day for thirty days. Not perfectly, just consistently. You will slip. There will be mornings when you grab your phone before you have even thought about intent. There will be days when you spiral into a stressful thought and forget to challenge it. That is not failure. That is part of building a new normal. The goal is not perfection. The goal is progress. Small, consistent improvements. Showing up, even when you do not feel like it. Catching yourself in old patterns and gently redirecting. Over time, these habits become automatic. They become part of who you are as a business owner. And when that happens, your business changes, not because you worked harder, but because you led smarter. Remember: the companies winning in 2026 are not necessarily the largest or best funded. They are the ones led by owners who protect their mindset, show up consistently, and play the long game. You can be one of them. What Next: Your Action Steps Here is what I would like you to do. Right now, or as soon as this episode ends, choose one habit from today’s episode. Just one. Please write it down. And commit to practising it every working day for the next thirty days. Then, if you are up for it, share which habit you chose on LinkedIn. Tag us. We would love to hear which one resonated with you and cheer you on. This is just the first episode in our “Standing Out in 2026” series. In the upcoming episodes, we are going to build on this foundation with practical marketing and visibility strategies, the tactical stuff that turns mindset into momentum. Make sure you are subscribed so you do not miss any of them. Thank you for listening. I know your time is precious, and I hope this has been genuinely useful. Now go and decide: what one outcome would make today a win? Thanks Denise How We Can Help You This Year Knowing what to do is one thing. Doing it consistently is another. If you are ready to build these habits but want support staying on track, that is exactly what we help with inside Superfast Circle. Our members get done-for-you content, monthly coaching calls, and a clear system that makes showing up and getting noticed straightforward rather than overwhelming. No more feast-or-famine marketing. No more “I will do it when it is quieter.” If you have been thinking about getting proper support with your marketing this year, book a call and let us show you how it works: www.superfastrecruitment.co.uk/call The post Standing Out in 2026 Episode One: Mindset Habits Every Recruitment Business Owner Should Practice Daily in 2026 appeared first on Superfast Recruitment.

There's a lot of noise around AI in recruitment. Some people are selling it as a silver bullet. Others are predicting a job apocalypse for recruiters. Neither is true. In this episode of The Resilient Recruiter, Mark Whitby sits down with Rebecca Hastings to talk about what's actually happening inside businesses using AI right now and what recruiters are getting wrong. Rebecca advises CEOs, boards, and AI leaders on strategy, governance, and implementation. She's reviewed hundreds of real-world AI transformation case studies and brings a grounded perspective most recruiters never see. Alongside that, she's built a retained-only executive search firm focused on senior AI leadership and a sales system that consistently books high-quality meetings without volume-driven hustle. This conversation isn't about tools or tactics. It's about judgment, trust, and process. You'll hear why AI doesn't make work faster unless human capability is already in place, how weak sales systems are exposed when automation is added, and why recruiters who can explain how they use AI will earn more trust, not less. Rebecca also breaks down how she thinks about sales as a system, from market focus and listening time to multichannel outreach and AI-supported preparation. The result is fewer calls, better conversations, and more consistent meetings. If you want to understand where AI genuinely helps recruiters and where it quietly causes damage, this episode will change how you think about it. In this episode, you'll learn: Why there won't be a job apocalypse for recruiters How AI shifts bottlenecks instead of removing them Why trust and psychological safety matter in AI adoption How to build market expertise AI can amplify The sales system Rebecca uses to book more meetings with less effort Episode highlights: [3:42] How Rebecca billed £360,000 in her first year [14:08] Lessons from market downturns [32:17] Why listening time beats talk time [59:37] What actually happens when AI is introduced [1:15:26] The multichannel sales system behind consistent meetings Guest bio: Rebecca Hastings is the founder of Lucent Search, specialising in senior AI leadership appointments globally. She works with CEOs, CTOs, heads of AI, and boards on AI strategy, governance, and transformation, and is an AI and systems coach with Recruitment Coach.

In this episode, Jeff Mains sits down with Luv Kapur, a technology leader at Bit who's reshaping how enterprises build software. Luv shares his journey from leading platform engineering at one of Canada's largest pension funds to joining a startup on a mission to help organizations scale development through composability and AI-powered tools.The conversation explores how AI is fundamentally changing software development—not by writing more code, but by enabling teams to compose better solutions with less custom code. Luv challenges the hype around code generation, arguing that the real bottleneck isn't writing code but translating business requirements into sound architecture and reusing battle-tested components.Luv also offers a grounded perspective on AI's impact on jobs, the importance of discoverability in component libraries, and practical advice for CTOs building composable organizations.Key Takeaways[0:00] - Episode introduction: AI-powered, cloud-native enterprise development tools[1:00] - The hidden cost of poor discoverability in internal libraries and how it silently slows high-performing teams[4:26] - Luv's background: From leading platform engineering at Healthcare of Ontario Pension Plan to joining Bit[4:47] - The spark for the leap: Believing in the mission of helping enterprises scale development globally[5:19] - The consistency problem: When products span multiple teams but feel disjointed to users[6:37] - Building a platform team whose customers are developers themselves[7:23] - Discoverability as the key problem: Developers couldn't find what already existed[9:24] - Why inner source software transforms development artifacts into invaluable organizational assets[11:37] - Viewing your org chart as a dependency graph, not a hierarchy[15:51] - The AI hype is justified, but code generation isn't the real bottleneck[17:01] - The bottleneck is translating business requirements into software architecture, not writing code[18:41] - AI should help us do less work, not more work[19:27] - Why developers won't lose jobs: There's infinite work, not finite work[20:19] - Reusing battle-tested components increases quality and reduces surface area for errors[21:59] - Reducing AI context to dependency graphs and APIs prevents hallucinations[23:05] - Private enterprise data is the gold mine for AI value[24:35] - The rise of citizen developers: Non-technical people building with natural language[26:40] - Empowering citizen developers with internal component marketplaces[27:19] - How AI changes the build vs. buy equation through faster prototyping[30:09] - Internal tools will be hit hardest by AI disruption[34:41] - SaaS companies must align with core business value to stay sticky[36:19] - The biggest mistake: Equating vibe-engineered solutions with production-ready software[39:01] - Building AI muscle: Start with clear scoped goals, not vague initiatives[40:45] - The future: Higher skill ceiling, elimination of junior developer roles, but more opportunities overall[43:45] - Junior developers must contribute to open source and build visible impact[44:31] - The one capability every software leader needs: Willingness to adopt AI and keep learningTweetable Quotes"For an internal team, if it doesn't get adopted, it's useless. Adoption is key." - Luv...

AI is moving beyond experimentation and into the backbone of the enterprise.In this interview, I sit down with Pascal Brier, Chief Innovation Officer at Capgemini, to unpack TechnoVision 2026and the five technology trends that will reach an inflection point next year. We discuss how AI is reshaping software development, cloud architectures, and enterprise operations, and what this shift means for business leaders who want measurable impact rather than hype. #CapgeminiPartner #Sponsored

Join Varun Jain, Founder & CEO of ComplyJet, in conversation with Gary Fowler as they explore how AI is reshaping security, compliance, and enterprise process automation — and why automation is now essential for B2B SaaS growth.Varun shares how ComplyJet is building an AI-native security and compliance platform that helps startups achieve critical certifications like SOC 2, HIPAA, and ISO 27001 faster and with less friction — turning compliance from a sales blocker into a growth accelerator.

Join Michael Søndergaard, CEO and Founder of Spectral Compute, for a deep-dive conversation with Gary Fowler on one of the most critical infrastructure challenges in AI and high-performance computing: hardware lock-in within the CUDA ecosystem.Michael explains how Spectral Compute's SCALE toolchain — a compiler and CUDA-compatible libraries — allows a superset of CUDA code to compile directly to both NVIDIA and AMD GPUs with no intrinsic performance overhead. This breakthrough enables developers and enterprises to choose the best hardware for their workloads without rewriting code or sacrificing efficiency.

Keith Townsend is an independent CTO advisor and infrastructure practitioner focused on how enterprises actually adopt AI, cloud, and open-source platforms at scale. He's the founder of The Advisor Bench and the voice behind The CTO Advisor, where he helps CIOs and CTOs navigate hard infrastructure decisions around hybrid cloud, AI systems, and platform architecture.Keith has spent his career inside large enterprises and alongside vendors—working as an enterprise architect, consultant, and analyst—bridging the gap between engineering reality and executive decision-making. He's known for translating complex systems into plain English and for challenging hype with operational truth.Today, Keith advises enterprise IT leaders, moderates closed-door executive forums, and builds real AI systems himself—using open source not as ideology, but as a practical tool for control, portability, and long-term leverage.You can find Keith on the following sites:BlogYouTubeLinkedInXPLEASE SUBSCRIBE TO THE PODCASTSpotifyApple PodcastsYouTube MusicAmazon MusicRSS FeedYou can check out more episodes of Coffee and Open Source on https://www.coffeeandopensource.comCoffee and Open Source is hosted by Isaac Levin

Evénements QUEST-IS chez EDF La conférence dédiée à l'ingénierie quantique organisée par la SEE avec le soutien du SGPI et de l'AID durait trois jours pendant la première semaine de décembre, chez EDF à Palaiseau.https://www.oezratty.net/Files/Conferences/Olivier%20Ezratty%20QUEST-IS%20Quantum%20Engineering%20Dec2025.pdfhttps://conference-questis.org/quest-is-2025/program/proceddings/Conférence organisée par le Fermilab faisait aussi le point sur le lien entre calcul quantique et HPC, notamment dans le cadre de simulations dans la high energy physics (HEP). https://indico.fnal.gov/event/71571/. Q2B Santa Clara du 9 au 11 décembre. La conférence rassemblait des intervenants tels que Scott Aaronson (University of Texas), John Preskill (Caltech), Ryan Babbush (Google), et plein de CTOs et CEO de startups US et internationales. Dans les startups étrangères, il y avait notamment les interventions de Photonic (Stephanie Simmons), Diraq (Andrew Dzurak), Quantum Machines (Yonathan Cohen), Q-CTRL (Michael Biercuk), Classiq, Quemix (Japon, dans le logiciel), etc. Et aussi Joe Altepeter de la DARPA, qui présentait l'état des lieu du programme Quantum Benchmark Initiative.https://www.oezratty.net/Files/Conferences/Olivier%20Ezratty%20Q2B%20SV%20FTQC%20Energetics%20Dec2025.pdfhttps://www.oezratty.net/Files/Conferences/Olivier%20Ezratty%20Q2B%20SV%20Case%20Studies%20Dec2025.pdfhttps://www.oezratty.net/wordpress/2025/back-from-the-q2b-santa-clara-2025/Les vidéos de la conférence à Munich qui avait lieu en octobre 2025.https://www.cda.cit.tum.de/research/quantum/mqsf/ Nobel lectures des trois lauréats du prix Nobel de physique 2025, John Clarke, Michel Devoret et John Martinis.https://www.youtube.com/watch?v=jTtT2jTF4Xc A noter également les interventions de Michel Devoret et Alain Aspect chez Google à Paris le 18 décembre. Le duo était suivi d'un panel avec eux en compagnie de Pierre Rouchon et Théau Péronnin d'Alice&Bob. Conférence inaugurale de Pascale Senellart au Collège de France https://www.college-de-france.fr/fr/agenda/lecon-inaugurale/les-debuts-une-seconde-revolution-quantique/les-debuts-une-seconde-revolution-quantiqueBell prize coattribué à Antoine Browayes, Mikhael Lukin et Mark Safman. Le trio mondial des atomes froids. https://cqiqc.physics.utoronto.ca/bell-prize/bell-prize-winners/browaeys-lukin-and-saffman-awarded-the-9th-bell-prize/https://en.wikipedia.org/wiki/John_Stewart_Bell_Prize Evénements à venir ·       CES 2026 & Quantum World Congress https://www.quantumworldcongress.com/ces-2026.       Un séminaire d'une journée sur les technologies quantiques organisé à l'école navale près de Brest le 5 février 2025. https://www.ecole-navale.fr/entreprise/nos-rendez-vous/journees-sciences-navales/·       Une matinée organisée pour le MEDEF à Lyon le 27 février janvier avec Alain Aspect, Olivier Hess (Eviden) et Andréa Le Vot (Crédit Agricole). Organisée par la maison du quantique de Grenoble.·       APS March Meeting à Denver des 15 au 20 mars 2026.  France Pasqal Annonce de 324 qubits en décembre en mode analogique.  https://www.linkedin.com/posts/pasqal_quantumcomputing-quantumadvantage-innovation-activity-7407389213739991040-He_T?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAAVgdUB3BosVI5xO_hehYGjYCuwBq1TXaA En décembre 2025, Pasqal annonçait aussi avoir cumulé 145M€ de financements qui rassemble de l'investissement en capital, des promesses d'investissements à venir, des aides publiques et des commandes clients.https://www.linkedin.com/posts/pasqal_quantumcomputing-innovation-deeptech-activity-7399718793712914433-2bW5 Alice&Bob Alice & Bob communiquait sur l'énergie qui sera consommée par Graphene, leur futur ordinateur quantique supportant 100 qubits logiques et un million d'opérations en 2030. Cela fera 160 kW. https://www.linkedin.com/posts/alice-bob_sc25-quantumcomputing-hpc-activity-7399453247091929089-xaEe/ Qubit Pharmaceuticals Papier sur la simulation du placement de molécules d'eau dans des protéines, réalisée sur un ordinateur quantique d'IBM avec jusqu'à 123 qubits. L'algorithme utilise une fonction de coût formulée en QUBO et un solver provenant de Q-CTRL.  Practical protein-pocket hydration-site prediction for drug discovery on a quantum computer by Daniele Loco, Kisa Barkemeyer, Andre R. R. Carvalho, and Jean-Philip Piquemal, arXiv, December 2025 (20 pages). Analyse géopolitique d'Axel FerrazziniQuantum, Diplomacy, and Geopolitics by Axel Ferrazzini, arXiv, December 2025 (20 pages). International IBM Leur nouveau processeur NightHawk serait en ligne depuis décembre pour certains clients. Il s'appelle

Dave Hersh, co-founder and former CEO of Jive Software, shares the real story behind bootstrapping Jive to $12M in revenue before raising venture capital and scaling aggressively. He explains how fear, comparison, and the pressure to "go big" drove him to abandon his profitable core business and pursue a new upmarket strategy that ultimately cost the company its soul.  After growing to $60 million, Jive eventually went public, but not without internal strain, personal turmoil, and ultimately the realization that the company had drifted away from what made it successful.  Dave discusses how overexpansion, premature scaling, hiring missteps, and market-chasing derail both VC-backed and bootstrapped companies—along with the psychological patterns founders rarely acknowledge.  He shares lessons from his book "Reignition: Transforming Stuck Startups Into Breakout Winners" on why most stuck companies don't need a new strategy—they need a wiser founder who understands their inner operating system and is willing to grow alongside the business. Today Dave coaches founders, writes about the emotional foundations of leadership, and acquires underperforming SaaS companies to "refound" them with more clarity, connection, and human-first strategy. Key Takeaways Founder Psychology Matters — Most stuck companies trace back to subconscious patterns, not strategy failures, and founders must address these to grow. Premature Scaling Kills — Expanding markets or teams too quickly dilutes the core and creates complexity most companies cannot absorb. Core Before Expansion — Winning in a beachhead and protecting the core creates more durable growth than chasing adjacent market too early. Better Growth Pace — Sustainable companies grow at the pace the market allows; forced hypergrowth often destabilizes otherwise healthy businesses. Quote from Dave Hersh, Co-founder and Former CEO of Jive Software "I realized that 90% of stuck companies and failed companies are not the reasons that we say they failed. Like they didn't have product market fit or they ran out of cash or the founders didn't get along. It's the psychology underneath. If you actually look at the source of those problems, It was these very consistent psychological patterns that founders run into. "So hero complex, warrior, imposter syndrome, over identification with the company. It was all of these things that I kept seeing over and over again that led to the decisions that got them stuck. And so, yes, while it's true, they got out competed. Why did they go after the big market? What led them to do that? Why did they try to compete against these companies they were competing against? "And then you start to tap into what's really going on and you see: They're trying to earn validation. They are trying to get redeemed as an entrepreneur. They're trying to live up to their parents, their older sibling, their peer group. And it was that desire that led to them trying to go after this big market and raising too much money that got them stuck. And so I like to work with the source material, which is, Why did you do that?" Links Dave Hersh on LinkedIn Book by Dave Hersh: Reignition: Transforming Stuck Startups into Breakout Winners Dave Hersh website Podcast Sponsor – Fraction This podcast is sponsored by Fraction. Fraction gives you access to senior US-based engineers and CTOs — without full-time costs or hiring risks. Get 10 to 30 hours per week from vetted and experienced US-based talent. Find your next fractional senior engineer or CTO at fraction.work. You can start with a one-week, risk-free trial to test it out. The Practical Founders Podcast Tune into the Practical Founders Podcast for weekly in-depth interviews with founders who have built valuable software companies without big funding. Subscribe to the Practical Founders Podcast using your favorite podcast app or view on our YouTube channel. Get the weekly Practical Founders newsletter and podcast updates at practicalfounders.com. Practical Founders CEO Peer Groups Be part of a committed and confidential group of practical founders creating valuable software companies without big VC funding.  A Practical Founders Peer Group is a committed and confidential group of founders/CEOs who want to help you succeed on your terms. Each Practical Founders Peer Group is personally curated and moderated by Greg Head.

Join Chris Corrado, CEO Americas and President at Squirro, in an in-depth conversation with Gary Fowler as they explore one of the most urgent challenges in AI today: trust. Discover how enterprises can deploy generative and agentic AI responsibly, securely, and at scale while maintaining transparency and protecting business integrity.

Corey Quinn reconnects with Keith Townsend, founder of The CTO Advisor, for a candid conversation about the massive gap between AI hype and enterprise reality. Keith shares why a biopharma company gave Microsoft Copilot a hard no, and why AI has genuinely 10x'd his personal productivity while Fortune 500 companies treat it like radioactive material. From building apps with Cursor to watching enterprises freeze in fear of being the next AI disaster in the news, Keith and Corey dig into why the tools transforming solo founders and small teams are dead on arrival in the enterprise, and what it'll actually take to bridge that gap.About Keith TownsendKeith Townsend is an enterprise technologist and founder of The Advisor Bench LLC, where he helps major IT vendors refine their go-to-market strategies through practitioner-driven insights from CIOs, CTOs, and enterprise architects. Known as “The CTO Advisor,” Keith blends deep expertise in IT infrastructure, AI, and cloud with a talent for translating complex technology into clear business strategy.With more than 20 years of experience, including roles as a systems engineer, enterprise architect, and PwC consultant, Keith has advised clients such as HPE, Google Cloud, Adobe, Intel, and AWS. His content series, 100 Days of AI and CloudEveryday.dev, provide practical, plainspoken guidance for IT leaders. A frequent speaker at VMware Explore, Interop, and Tech Field Day, Keith is a trusted voice on cloud and infrastructure transformation.Show Highlights(01:25) Life After the Futurum Group Acquisition(03:56) Building Apps You're Not Qualified to Build with Cursor(05:45)Creating an AI-Powered RSS Reader(09:01) Why AI is Great at Language But Not Intelligence(11:39) Are You Looking for Advice or Just Validation?(13:49) Why Startups Can Risk AI Disasters and AWS Can't(17:28) You Can't Outsource Responsibility(19:52) Business Users Are Scared of AI Too(23:00) LinkedIn's AI Writing Tool Misses the Point(26:42) Private AI is Starting to Look Appealing(29:00) Never Going Back to Pre-AI Development(34:27) AI for Jobs You'd Never Hire Someone to Do(39:09) Where to Find Keith and Closing ThoughtsLinksThe CTO Advisor:  https://thectoadvisor.comSponsor: https://www.sumologic.com/solutions/dojo-aihttps://wiz.io/crying-out-cloud

Shailesh Hegde is the CEO of Hubilo, a Bangalore-based webinar software company that initially started during COVID as virtual events tech and raised $150M in VC funding before the market shifted. Originally joining as head of product, he stepped into the CEO role during a chaotic downturn and led the company through a full strategic reset after returning all the remaining capital to investors.  When the virtual events boom collapsed, Shailesh and the team rebuilt Hubilo into a mid-market webinar platform serving B2B marketing teams. They shifted from large in-person event organizers to marketers running frequent webinars, emphasizing differentiated AI-driven content repurposing. Hubilo stabilized revenue, rebuilt its GTM motion, and reached a 50/50 split between new webinar revenue and legacy customers.  Earlier this year, Hubilo was acquired by BrandLive, a U.S. enterprise video platform seeking a complementary webinar product. About 80% of Hubilo's team moved over, and Shailesh now leads product integration and customer continuity during the transition. He shares hard lessons on pivots, returning capital, leading through uncertainty, and executing a practical exit when the original VC-scale vision is no longer realistic.  Key Takeaways Refounder Mindset – Shailesh stepped into the CEO role and reframed the mission from hypergrowth to survival, focus, and a practical exit. New ICP Reality – Moving from event organizers to B2B marketers required a complete repositioning and GTM rebuild that took longer than expected. AI as Differentiator – Hubilo used AI-generated content and repurposing tools to stand out in a crowded webinar category with entrenched incumbents. Practical GTM – LinkedIn thought leadership, SEO content, and product-led demos outperformed outbound or expensive Google ads in this competitive space. Strategic Fit Wins – BrandLive acquired Hubilo for complementary capabilities, product acceleration, and access to a strong India-based engineering team. Quote from Shailesh Hegde, CEO of Hubilo "Now that I just sold our company, I'm thinking about what's next for me. It comes down to, Will I be able to find a viable problem that people are willing to pay for and will I be able to use sort of all of this experience that I have in order to solve it really well and kick off a company off the ground?  "Now is probably the best time to start a company where there's so much action, there's so much happening in AI, and it's super exciting to be in this space. It's also a great time to not have like revenue pressure on your shoulders and just think out loud, have open conversations and just be free, before you really dive in and choose a focus. "The same types of business pressures will come back as you start a company. But now is a great time to just help with transition, make sure the team is good, but at the same time, start thinking about the types of problems I want to solve in the future with a new startup." Links Shailesh Hegde on LinkedIn Hubilo on LinkedIn Hubilo website Brandlive website Podcast Sponsor – Fraction This podcast is sponsored by Fraction. Fraction gives you access to senior US-based engineers and CTOs — without full-time costs or hiring risks. Get 10 to 30 hours per week from vetted and experienced US-based talent. Find your next fractional senior engineer or CTO at fraction.work. You can start with a one-week, risk-free trial to test it out. The Practical Founders Podcast Tune into the Practical Founders Podcast for weekly in-depth interviews with founders who have built valuable software companies without big funding. Subscribe to the Practical Founders Podcast using your favorite podcast app or view on our YouTube channel. Get the weekly Practical Founders newsletter and podcast updates at practicalfounders.com. Practical Founders CEO Peer Groups Be part of a committed and confidential group of practical founders creating valuable software companies without big VC funding.  A Practical Founders Peer Group is a committed and confidential group of founders/CEOs who want to help you succeed on your terms. Each Practical Founders Peer Group is personally curated and moderated by Greg Head.

If you're running a startup, chances are you're the bottleneck. Brittany Rastsmith joins Product Driven to talk through why founders constantly end up in this trap and how to escape it. She works with early-stage companies through her consulting firm, Bloom Remote, and she's seen it all. We get into how to create clarity, visibility, and accountability across your team so you're not stuck answering every question, solving every problem, or staying up all night wondering if anything is getting done. If you want your team to take ownership and drive outcomes—not just check boxes—this episode is for you.[01:00] - Why being the bottleneck it's a stage [02:30] - Choose your hard: micromanage or build trust [07:30] - How to measure what matters[10:30] - Delegating doesn't work if you dump chaos [14:30] - Explain your thinking if you want your team to carry it out [16:00] - The power of decision logs and written rationale [19:45] - Why psychological safety is key to team ownership [21:30] - Rubber-stamping is the death of progress [24:00] - Why most managers are untrained (and why that matters) [28:00] - Productivity vs. busyness: where your team might be stuck [29:15] - Inputs vs. outcomes: how to tell what's actually broken [31:05] - Where to find Brittany and learn more about Bloom RemoteLinks & Resources:Brittany Rastsmith on LinkedIn: Bloom RemoteGet the Book: https://mybook.to/productdrivenNewsletter: productdriven.comConnect with Matt: https://linkedin.com/in/mattwatsonGet the Offshore Hiring Guide: https://hirefullscale.com/offshore-hiring-guide

In this Cloud Wars Live podcast, Bob Evans sits down with Hayete Gallot, President, Google Cloud Customer Experience, to explore how Google Cloud is helping enterprises move from AI experimentation to true business transformation. Gallot describes how her organization unifies engineering, consulting, partners, and learning to accelerate time-to-value and scale agentic AI across every function. Together, they dive into Gemini Enterprise, customer successes like Virgin Voyages, and why human-centered change is the real key to AI's future.The AI Turning PointThe Big Themes:Customer Experience Built for the AI Era: Google Cloud created a new Customer Experience organization, led by Hayete Gallot, to match the speed and complexity of AI-driven transformation. Instead of treating AI as a pure technology play, the team unifies industry and solutions experts, customer engineers, consulting, partners, and learning into one group that supports the full innovation lifecycle. That means they can help customers go from idea to minimum viable product to production in a consistent, repeatable way.Ecosystem, Partners, and Curated AI Solutions: Google Cloud's ecosystem strategy is central to scaling AI transformation. Gallot describes deep investment in system integrators — not just training them on technology, but sharing methodologies and scenario-based approaches so they can guide customers toward the right AI choices. At the same time, Google Cloud works with top ISVs to embed AI into their solutions and create compatible protocols for multi-agent experiences.Structuring Tech Teams for Agentic Transformation: AI's rise is forcing technology organizations to evolve. Gallot notes that CTOs and CIOs are asking how to restructure their teams for an “agentic” world. The demand is no longer just for deep technical skills, but also people who understand user experience, behavior, and business workflows. Technology teams are increasingly expected to co-design scenarios with business leaders, not just implement requirements. Looking ahead to 2026, Gallot sees the priority as scaling agentic transformation across divisions.The Big Quote: "Customers are much more mature on AI … When you meet with them, they're [asking] what's in it for me? What am I going to get? When am I going to get it? How do I scale this? They want production, and they want outcome." Visit Cloud Wars for more.

The Future of Human-Centered Risk Reduction in Tech: AI, Cybersecurity, and Developer Empowerment | Hosted by Gary Fowler | Top Global StartupsJoin Elizabeth Lawler Founder and CEO of AppMap, in a powerful conversation with Gary Fowler as they explore how AI, security, and next-gen developer tools are reshaping the future of innovation. From her background as a scientist and healthcare data expert to founding multiple high-impact startups acquired by industry leaders, Elizabeth shares real-world insights on protecting humans—not just systems—in the age of intelligent software.Insights You'll Learn:✓ Why reducing human risk is the most overlooked priority in modern tech✓ How AI is reshaping cybersecurity, DevOps, and developer workflows✓ Lessons from founding Conjur (acquired by CyberArk) and scaling AppMap to hundreds of thousands of users✓ The rise of code-level observability and why it matters today✓ How founders can navigate burnout, complexity, and emotional load while building high-impact companies✓ The future of secure AI-driven software development✓ What it takes to innovate at the intersection of data, security, and human behaviorWhy This Matters:As AI accelerates development and automation, the biggest vulnerabilities are shifting from systems to people. AppMap is pioneering a new approach: empowering developers with real-time intelligence directly inside their tools, reducing errors, vulnerabilities, and risk before they happen.Elizabeth's journey—from healthcare data science to cybersecurity, dev tools, and startup coaching—offers rare insight into what it truly takes to build safer, smarter, and more human-centered technology.

Wultra provides post-quantum authentication for banks, fintechs, and governments—protecting digital identities from emerging quantum computing threats. In this episode, Peter Dvorak shares how he broke into the notoriously closed banking ecosystem by leveraging his early experience in mobile banking development. From navigating multi-stakeholder enterprise sales to positioning quantum-safe cryptography when the threat timeline remains uncertain (consensus: 2035, but could accelerate), Peter reveals the specific strategies required to sell mission-critical security infrastructure to regulated financial institutions. Topics Discussed How post-quantum cryptography runs on classical computers while protecting against quantum threats Why European banking regulation drives global authentication standards The multi-stakeholder sales process: quantum threat teams, CISOs, CTOs, and digital product owners Conference strategy and analyst relationships (Gartner, KuppingerCole) for category positioning Banking budget cycles and why June/July approaches fail Breaking the "who else is using this?" barrier with banking-specific proof points Positioning as the only post-quantum cryptography provider for digital identity in banking GTM Lessons For B2B Founders Layer future-proofing onto immediate ROI: Post-quantum cryptography doesn't require quantum computers to function—it runs on classical infrastructure while providing superior security. Peter sells banks on moving from SMS OTP to mobile app authentication (tangible, immediate benefit) while positioning quantum resistance as migration insurance: "You won't have to rip-and-replace in three years." For emerging tech, anchor value in today's operational wins, not future scenarios. Give struggling departments concrete wins: Large banks have quantum threat teams tasked with replacing every piece of software by 2030-2035. Peter gives them measurable progress: "We move you from 5% to 10% completion on authentication and digital identity." These teams need defensible projects to justify their existence. Identify which internal groups are fighting for relevance and deliver projects they can report upward. Banking references are binary gatekeepers: Every bank asks "who else is using this?" Non-banking customers (telcos, gaming, lottery) don't count—banking regulation and systems are fundamentally different. The first banking customer is the hardest barrier. Once cleared, subsequent conversations become tractable. Budget aggressively to land that first bank, even at unfavorable terms. Respect the annual budget cycle: Banks allocate resources 12 months ahead. Approaching in Q2/Q3 means budgets are locked—even free POCs fail because internal resources are committed. Peter's pipeline strategy: build relationships and maintain visibility throughout the year, then activate when budget windows open. Don't confuse market education with active pipeline. Map and sequence multi-stakeholder buys: Authentication purchases require alignment across quantum threat teams (if they exist), cybersecurity/compliance, CTO/CIO (infrastructure acceptance), and digital product owners (UX concerns affecting their KPIs). Start at director level—board executives are too removed from technical details. Research each bank's org structure before engaging, then tailor sequencing. EU regulatory leadership creates expansion vectors: European regulations like PSD2 and strong authentication requirements get replicated in Southeast Asia, MENA, and other regions. Peter benefits from solving EU compliance first, then riding regulatory diffusion. The US remains fragmented with smaller regional banks still using username/password. Founders should analyze which geographies lead regulatory adoption in their category. Maintain composure through 18+ month cycles: Peter's regret: losing his temper during negotiations cost him time. Banking doesn't buy impulsively—sales require patience through lengthy security reviews, compliance checks, and committee approvals. Incremental progress and rational positioning matter more than aggressive closing. Emotional control is operational discipline. // Sponsors:  Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.  Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Gaurav Bhasin is the founder and managing director of Allied Advisers, an M&A advisory firm whose principals have completed over 100 sell-side transactions for software and tech founders. After two decades in investment banking and tech M&A, Gaurav is a sell-side advisor to B2B software founders who have built successful businesses and want to explore selling their companies. Allied Advisers typically works with founders selling their businesses for $20M–$200M, helping them prepare materials, run a competitive process, and negotiate terms. We discuss how today's M&A market looks very different from the 2021 bubble. Valuations have normalized, deal timelines have increased, and buyers are more disciplined. But the demand for profitable, steadily growing SaaS companies is stronger than ever. Gaurav breaks down strategic and private equity buyers, what metrics matter most, how AI influences valuations, and why most founders underestimate the emotional and operational effort required to sell. For practical founders thinking about an exit in the next few years, this episode provides clear expectations and tactical guidance. Key Takeaways Profitable Growth Wins — Buyers prefer SaaS companies growing 20–50% with real profits over faster revenue growth fueled by burn. Metrics Drive Valuation — Net retention above 110%, gross retention above 90%, and >75% gross margins increase valuation and buyer interest. Run a Real Process — A single buyer gives you no leverage. Multiple qualified buyers improve pricing, terms, and closing certainty. AI Is Lipstick — But Real — You don't need to be AI-native. Practical AI that improves product, margin, or GTM still increases buyer interest.   Quote from Gaurav Bhasin, founder and managing director of Allied Advisers "The good news for SaaS founders is that the private equity community has raised about $1.5 trillion of capital, and more is being raised. And they also have access to debt. So there's $7 trillion of dry powder to do deals. Private equity is not paid to sit on the cash. And they love recurring revenue software.  "Private equity investors will typically move much faster than strategic buyers. Strategics will take a while. You need a business unit sponsor to buy into the vision, and then they will push the corporate to do the deal. But with the private equity, they will look at your financial metrics and if you fit in, they can move pretty fast.  "The one caveat with private equity compared to strategic is they generally pay a little bit less than the strategics because strategics have established distribution and GTM for higher growth, so private equity will index more on the financials." Links Gaurav Bhasin on LinkedIn Allied Advisers on LinkedIn Allied Advisers website 2025 Vertical SaaS Report - Allied Advisers Podcast Sponsor – Fraction This podcast is sponsored by Fraction. Fraction gives you access to senior US-based engineers and CTOs — without full-time costs or hiring risks. Get 10 to 30 hours per week from vetted and experienced US-based talent. Find your next fractional senior engineer or CTO at fraction.work. You can start with a one-week, risk-free trial to test it out. The Practical Founders Podcast Tune into the Practical Founders Podcast for weekly in-depth interviews with founders who have built valuable software companies without big funding. Subscribe to the Practical Founders Podcast using your favorite podcast app or view on our YouTube channel. Get the weekly Practical Founders newsletter and podcast updates at practicalfounders.com. Practical Founders CEO Peer Groups Be part of a committed and confidential group of practical founders creating valuable software companies without big VC funding.  A Practical Founders Peer Group is a committed and confidential group of founders/CEOs who want to help you succeed on your terms. Each Practical Founders Peer Group is personally curated and moderated by Greg Head.

You raised Series B. Now what? If you're a tech founder in a Series B company, you're scaling fast, refining product, and chasing metrics. But while your team builds the tech, who's building the trust? In this solo episode, I'm pulling back the curtain on the blind spot I see across nearly every high-growth company: invisible leadership teams. You've got funding, product-market fit, and momentum—but if your leaders can't communicate externally with clarity, credibility, and confidence, you've got a serious growth liability. I'm not talking about polishing LinkedIn bios or posting more. I'm talking about turning your operators into trusted voices that support your brand, build stakeholder confidence, and drive real business outcomes. Let's talk about what Series B companies are getting wrong, and how to fix it before your competitors outshine you. What you'll learn: Why most Series B companies are ignoring a critical growth driver The external influence blind spot that's holding your leadership team back Real talk on why product alone won't get you to Series C What perception has to do with fundraising, talent, and enterprise deals Why silent CTOs and invisible VPs are costing you credibility How to equip your team to lead out loud, not just operate in the background Your Next Steps: Access the white paper: External Influence: The Currency Every Leader Must Carry. https://externalinfluence.us Follow Shayna on LinkedIn: http:/linkedin.com/in/shaynarattler Visit our website: https://shaynadavisconsulting.com

In this conversation with Malte Ubl, CTO of Vercel (http://x.com/cramforce), we explore how the company is pioneering the infrastructure for AI-powered development through their comprehensive suite of tools including workflows, AI SDK, and the newly announced agent ecosystem. Malte shares insights into Vercel's philosophy of “dogfooding” - never shipping abstractions they haven't battle-tested themselves - which led to extracting their AI SDK from v0 and building production agents that handle everything from anomaly detection to lead qualification.The discussion dives deep into Vercel's new Workflow Development Kit, which brings durable execution patterns to serverless functions, allowing developers to write code that can pause, resume, and wait indefinitely without cost. Malte explains how this enables complex agent orchestration with human-in-the-loop approvals through simple webhook patterns, making it dramatically easier to build reliable AI applications.We explore Vercel's strategic approach to AI agents, including their DevOps agent that automatically investigates production anomalies by querying observability data and analyzing logs - solving the recall-precision problem that plagues traditional alerting systems. Malte candidly discusses where agents excel today (meeting notes, UI changes, lead qualification) versus where they fall short, emphasizing the importance of finding the “sweet spot” by asking employees what they hate most about their jobs.The conversation also covers Vercel's significant investment in Python support, bringing zero-config deployment to Flask and FastAPI applications, and their vision for security in an AI-coded world where developers “cannot be trusted.” Malte shares his perspective on how CTOs must transform their companies for the AI era while staying true to their core competencies, and why maintaining strong IC (individual contributor) career paths is crucial as AI changes the nature of software development.What was launched at Ship AI 2025:AI SDK 6.0 & Agent Architecture* Agent Abstraction Philosophy: AI SDK 6 introduces an agent abstraction where you can “define once, deploy everywhere”. How does this differ from existing agent frameworks like LangChain or AutoGPT? What specific pain points did you observe in production that led to this design?* Human-in-the-Loop at Scale: The tool approval system with needsApproval: true gates actions until human confirmation. How do you envision this working at scale for companies with thousands of agent executions? What's the queue management and escalation strategy?* Type Safety Across Models: AI SDK 6 promises “end-to-end type safety across models and UI”. Given that different LLMs have varying capabilities and output formats, how do you maintain type guarantees when swapping between providers like OpenAI, Anthropic, or Mistral?Workflow Development Kit (WDK)* Durability as Code: The use workflow primitive makes any TypeScript function durable with automatic retries, progress persistence, and observability. What's happening under the hood? Are you using event sourcing, checkpoint/restart, or a different pattern?* Infrastructure Provisioning: Vercel automatically detects when a function is durable and dynamically provisions infrastructure in real-time. What signals are you detecting in the code, and how do you determine the optimal infrastructure configuration (queue sizes, retry policies, timeout values)?Vercel Agent (beta)* Code Review Validation: The Agent reviews code and proposes “validated patches”. What does “validated” mean in this context? Are you running automated tests, static analysis, or something more sophisticated?* AI Investigations: Vercel Agent automatically opens AI investigations when it detects performance or error spikes using real production data. What data sources does it have access to? How does it distinguish between normal variance and actual anomalies?Python Support (For the first time, Vercel now supports Python backends natively.)Marketplace & Agent Ecosystem* Agent Network Effects: The Marketplace now offers agents like CodeRabbit, Corridor, Sourcery, and integrations with Autonoma, Braintrust, Browser Use. How do you ensure these third-party agents can't access sensitive customer data? What's the security model?“An Agent on Every Desk” Program* Vercel launched a new program to help companies identify high-value use cases and build their first production AI agents. It provides consultations, reference templates, and hands-on support to go from idea to deployed agentFull Video EpisodeTimestamps00:00 Introduction and Malte's Background at Google01:16 Vercel's AI Engineering Philosophy and Ship AI Recap03:19 Deep Dive: Workflows vs Agents Architecture09:33 AI SDK Success Story: Staying Low-Level and Humble16:35 Framework Design Principles and Open Source Strategy19:20 Vercel Agent: AI-Powered DevOps and Anomaly Detection27:06 Internal Agent Use Cases: Lead Qualification and Abuse Analysis29:49 Agent on Every Desk Program and Enterprise Adoption32:13 Python Support and Multi-Language Infrastructure39:42 The Future of AI-Native Security and Development Get full access to Latent.Space at www.latent.space/subscribe

In this conversation with Malte Ubl, CTO of Vercel (http://x.com/cramforce), we explore how the company is pioneering the infrastructure for AI-powered development through their comprehensive suite of tools including workflows, AI SDK, and the newly announced agent ecosystem. Malte shares insights into Vercel's philosophy of "dogfooding" - never shipping abstractions they haven't battle-tested themselves - which led to extracting their AI SDK from v0 and building production agents that handle everything from anomaly detection to lead qualification. The discussion dives deep into Vercel's new Workflow Development Kit, which brings durable execution patterns to serverless functions, allowing developers to write code that can pause, resume, and wait indefinitely without cost. Malte explains how this enables complex agent orchestration with human-in-the-loop approvals through simple webhook patterns, making it dramatically easier to build reliable AI applications. We explore Vercel's strategic approach to AI agents, including their DevOps agent that automatically investigates production anomalies by querying observability data and analyzing logs - solving the recall-precision problem that plagues traditional alerting systems. Malte candidly discusses where agents excel today (meeting notes, UI changes, lead qualification) versus where they fall short, emphasizing the importance of finding the "sweet spot" by asking employees what they hate most about their jobs. The conversation also covers Vercel's significant investment in Python support, bringing zero-config deployment to Flask and FastAPI applications, and their vision for security in an AI-coded world where developers "cannot be trusted." Malte shares his perspective on how CTOs must transform their companies for the AI era while staying true to their core competencies, and why maintaining strong IC (individual contributor) career paths is crucial as AI changes the nature of software development. What was launched at Ship AI 2025: AI SDK 6.0 & Agent Architecture Agent Abstraction Philosophy: AI SDK 6 introduces an agent abstraction where you can "define once, deploy everywhere". How does this differ from existing agent frameworks like LangChain or AutoGPT? What specific pain points did you observe in production that led to this design? Human-in-the-Loop at Scale: The tool approval system with needsApproval: true gates actions until human confirmation. How do you envision this working at scale for companies with thousands of agent executions? What's the queue management and escalation strategy? Type Safety Across Models: AI SDK 6 promises "end-to-end type safety across models and UI". Given that different LLMs have varying capabilities and output formats, how do you maintain type guarantees when swapping between providers like OpenAI, Anthropic, or Mistral? Workflow Development Kit (WDK) Durability as Code: The use workflow primitive makes any TypeScript function durable with automatic retries, progress persistence, and observability. What's happening under the hood? Are you using event sourcing, checkpoint/restart, or a different pattern? Infrastructure Provisioning: Vercel automatically detects when a function is durable and dynamically provisions infrastructure in real-time. What signals are you detecting in the code, and how do you determine the optimal infrastructure configuration (queue sizes, retry policies, timeout values)? Vercel Agent (beta) Code Review Validation: The Agent reviews code and proposes "validated patches". What does "validated" mean in this context? Are you running automated tests, static analysis, or something more sophisticated? AI Investigations: Vercel Agent automatically opens AI investigations when it detects performance or error spikes using real production data. What data sources does it have access to? How does it distinguish between normal variance and actual anomalies? Python Support (For the first time, Vercel now supports Python backends natively.) Marketplace & Agent Ecosystem Agent Network Effects: The Marketplace now offers agents like CodeRabbit, Corridor, Sourcery, and integrations with Autonoma, Braintrust, Browser Use. How do you ensure these third-party agents can't access sensitive customer data? What's the security model? "An Agent on Every Desk" Program Vercel launched a new program to help companies identify high-value use cases and build their first production AI agents. It provides consultations, reference templates, and hands-on support to go from idea to deployed agent

AI is more powerful than ever, but companies are way overhyping this one feature. Today, we're talking to Bryan McCann, CTO and co-founder at You.com. We discuss why CTOs need to start asking deeper questions about meaning, how AI is forcing us to rethink consciousness and intelligence, and why treating AI with respect might actually help you become a better person. All of this right here, right now, on the Modern CTO Podcast!  Thank you to Digital Ocean for sponsoring this episode. For simple cloud and powerful AI that's built to scale, check out Digital Ocean here. To learn more about You.com, check out their website here.

Businesses are spending millions on AI tools hoping to accelerate time-to-market but aren't seeing organizational-level results. Laura Tacho (CTO @ DX) explains why an "individual productivity" mindset fails and how AI merely accelerates the condition of the system it enters. She provides a framework for leaders to shift to a systems-level approach, find high-leverage ROI by looking outside the 20% of time spent coding, and understand what sets high-ROI orgs apart. Plus Laura shares data literacy tools to cut through the "whiplash" of conflicting AI reports and provides key considerations for 2026 budgeting, detailing where and how companies are planning to strategically invest.ABOUT LAURA TACHOLaura Tacho is CTO at DX, a developer experience company. She previously led teams at companies like CloudBees, Aula Education, and Nova Credit. She's an expert in building world-class engineering organisations that consistently deliver outstanding results. Laura has coached CTOs and other engineering leaders from startups to the Fortune 500, and also facilitates a popular course on metrics and engineering team performance.SHOW NOTES:Downsides to approaching organizational outcomes from an individual task level (2:59)Why individual product gains don't always equate to systems-level improvements (4:56)How the quality of existing systems impacts the improvements AI can foster (7:26)Strategies for shifting mental models from the individual to systems level (9:09)Implement training & enablement techniques as an organizational lever (11:22)Common workflows that can unlock new problem-solving methods (14:46)Understanding what impact you want to see / getting the most ROI from AI (18:40)How to interpret the data when it comes to AI & its true ROI (21:22)AI data literacy for engineering leaders (23:06)Interpreting the meter study & what it means for engineers using AI (25:49)Quality vs. quantity when it comes to AI implementation on the org level (28:43)Characteristics that high-ROI companies possess when it comes to AI (30:35)Strategies to invest in that may lead to higher ROI (32:29)Laura's observations on time & money budgeting / investments for 2026 (35:28)Embracing cost savings & opportunity generation as an eng org (38:08)Tackling fear / uncertainty when it comes to AI adoption, budgeting, & ROI (40:01)LINKS AND RESOURCESPrevious Episode with Laura TachoIntroducing the AI Measurement Framework from DXAtlassian State of DevEx ReportMETR StudyDORA Report (2025)This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Ion Feldman, CTO at Rightway, has learned to love one thing about scaling a company from a kitchen table to nearly 1,000 employees: his job completely changes every six months. In this episode, Ion shares what it means to lead engineering when the role refuses to stay still—from writing code in the early days to building product, security, and data teams, and now shaping AI infrastructure. He explains how to stay hands-on without micromanaging, why he deliberately works himself out of roles by hiring people better than him, and how to preserve startup urgency inside a heavily regulated industry. If you've ever wondered how CTOs balance technical depth with business strategy while keeping their team fast and focused, this conversation delivers.Key TakeawaysTreat change as part of the job.Ion's leadership mindset centers on adapting to wherever the company needs him most—product, security, data, or AI. He views change as an opportunity to grow, not a disruption to avoid.Hire yourself out of the role.He dives deep into an area, builds it from scratch, then brings in experts who can take it to the next level. Once the right leadership is in place, he steps back completely and lets them own it.Hands-on time creates credibility.Ion makes sure every leader spends time building. Each quarter, his team takes a week off from meetings and Slack to focus on creating something new. It keeps them close to the work and sharp as technical leaders.AI adoption needs clarity and focus.Rightway avoids vague “use AI” goals by targeting clear use cases like unit test generation and onboarding to codebases. Sharing examples and results drives faster adoption than leaving teams to figure it out alone.Fail fast and move forward.Ion builds space for experimentation but expects quick recognition of failure. The goal is not to avoid mistakes but to learn, pivot, and evolve faster.Timestamped Highlights[02:10] The zero to one mindset – Why Ion thrives on constant reinvention and the satisfaction of building new functions from the ground up.[06:41] Three pillars of AI strategy – How Rightway is transforming work through AI enablement, applied projects, and bold experiments.[08:26] Delegating by design – How going deep before handing off creates clarity and trust across teams.[15:42] Skills that matter later – Ion reflects on learning public speaking and business fluency after years of technical focus.[17:48] Creating space for risk – How to give your team agency to take on big challenges and fail fast without fear.[21:22] Preparing successors – Why the best leaders hire people who will replace them and rethink everything they built.What Stuck With Us"I don't know, maybe I just get bored easily. I think a lot of people could view it as a burden and they want to stay in their lane of expertise, but I see it as an opportunity to learn and change things up."Pro Tips for Tech LeadersTake a week each quarter to build something with zero meetings or Slack. It reconnects you and your team with what you actually love about engineering.Wait to hire senior leadership until the need is undeniable. The role becomes meaningful, and you'll attract higher caliber talent.Give your engineers specific AI examples and let them experiment from there. Adoption follows clarity, not mandates.

Darryl Pahl is the co-founder of DFnet, a Seattle-based company providing clinical trial data management software and services. Along with his wife and co-founder, Lisa Andrzejczyk, Darryl started the company more than 20 years ago after careers at Fred Hutchinson Cancer Research Center. They built DFnet around long-term client relationships in global health and clinical research. The company runs DFdiscover, an enterprise-grade electronic data capture and management platform used in clinical studies worldwide. With offices in the U.S., Canada, and South Africa, DFnet has grown to more than 50 employees and is approaching $10M in revenue. Clients range from the U.S. Department of Veterans Affairs to nonprofits like PATH and major universities. Still independent and bootstrapped, DFnet has made key moves to prepare for the future—such as bringing in a growth-focused CEO, diversifying beyond single-client risk, and shifting legacy software to SaaS and services. Darryl shares the lessons from running conservatively under debt, buying rather than building, and building a global company rooted in relationships and practical execution. Key Takeaways Stability First Growth – Carrying a 10-year SBA loan forced conservative growth and taught the discipline of stability over risky expansion. Buying Not Building – Acquiring DataFax brought 35+ new clients overnight and proved that buying legacy software can be smarter than reinventing. Services Plus Software – Unlike pure SaaS, DFnet thrives by combining consulting, hosting, and software in a regulated field. Spouse Founders Structure – Their 51/49 ownership split avoided deadlocks and kept marriage and business aligned. This Interview Is Perfect For SaaS founders balancing growth and control Founders considering succession or sale Bootstrapped entrepreneurs in niche B2B markets Anyone curious about global health data and impact-driven tech Quote from Darryl Pahl, co-founder of DFnet "The best position to be in is to say that in three to five years, we would be crazy to sell this company. It's doing so well. That would be the perfect thing. And what we're not looking for is a giant payout. We have a very modest lifestyle. “But is an asset, it is a business, and there's a business aspect. It would have to be the right type of buyer. It has to be the right fit. It has to be the right person or group that is respectful to our clients, our employees, and us as owners.  “So the ideal would be to have the luxury of either not selling or being more selective rather than responding to random emails from some financial buyer or search funder.” Links Darryl Paul on LinkedIn DFnet on LinkedIn DFnet website Podcast Sponsor – Fraction This podcast is sponsored by Fraction. Fraction gives you access to senior US-based engineers and CTOs — without full-time costs or hiring risks. Get 10 to 30 hours per week from vetted and experienced US-based talent. Find your next fractional senior engineer or CTO at fraction.work. You can start with a one-week, risk-free trial to test it out. The Practical Founders Podcast Tune into the Practical Founders Podcast for weekly in-depth interviews with founders who have built valuable software companies without big funding. Subscribe to the Practical Founders Podcast using your favorite podcast app or view on our YouTube channel. Get the weekly Practical Founders newsletter and podcast updates at practicalfounders.com. Practical Founders CEO Peer Groups Be part of a committed and confidential group of practical founders creating valuable software companies without big VC funding.  A Practical Founders Peer Group is a committed and confidential group of founders/CEOs who want to help you succeed on your terms. Each Practical Founders Peer Group is personally curated and moderated by Greg Head.

Lenovo has been a global leader in computing for decades. Where are they heading next? Today, we're talking to Art Hu, SVP and CTO at Lenovo. We discuss Lenovo's transformation into a services-led company, the future of personal computing and AI twins, and how CTOs can prepare their organizations for the AI revolution. Thank you to Digital Ocean for sponsoring this episode. For simple cloud and powerful AI that's built to scale, check out Digital Ocean here. All of this right here, right now, on the Modern CTO Podcast!  To learn more about Lenovo, check out their website here.

What happens when a CTO and a CIO of a global tech company sit down together to talk about AI? That's the starting point of today's episode, where I'm joined by Jeremy Ung, CTO at Blackline, and Sumit Johar, the company's CIO. Rather than chasing the hype, we focus on what AI really means for executive decision making, governance, and business outcomes. Both leaders open up about how their partnership is blurring the traditional lines between product and IT, and why the board is demanding answers on topics that once sat deep in the technology stack. Jeremy and Sumit explain why AI is not just another SaaS subscription and why expectations have changed so dramatically. For decades, technology was seen as predictable, a rules-based engine that followed instructions without error. AI feels different because it speaks, reasons, and sometimes makes mistakes. That human-like experience is what excites employees, but it is also what unsettles them. This is where education and governance come in, helping teams learn how to question, verify, and trace AI outputs before they make critical decisions. We also explore how AI agents are beginning to work across tools like SharePoint and email, raising new compliance and security questions that CIOs and CTOs must answer together. The conversation turns to AI sprawl, a problem that mirrors the SaaS explosion of a decade ago. With new AI tools emerging every week, enterprises risk overlapping investments and fragmented initiatives. Sumit shares how Blackline uses two governance councils to keep projects aligned. One is dedicated to risk, pulling in voices from legal, security, and privacy. The other is focused on transformation, evaluating whether requests for new AI capabilities make sense, or whether they duplicate what already exists. The signal that sprawl is taking root, he says, is when requests for tools suddenly jump from a few each month to a dozen. We also tackle the build versus buy dilemma. Budgets haven't magically increased just because AI is hot. Jeremy argues that building only makes sense when it reinforces a company's core advantage. Everything else should be bought, integrated, and kept flexible so that organizations can pivot as the AI landscape changes. Both leaders stress that trust, auditability, and value delivery must sit at the center of every investment decision.