Podcast appearances and mentions of legacy systems

This episode is a re-air of one of our most popular conversations, featuring insights worth revisiting. This week on The Data Stack Show, Eric Dodds and John Wessel explore how AI is reshaping the data industry, focusing on the ongoing cycles of bundling and unbundling within data infrastructure. They discuss the potential for closed ecosystems like Notion to deliver personalized, integrated experiences and examine recent industry moves such as Fivetran's acquisitions. The conversation also highlights the challenges faced by both startups and incumbents, the influence of enterprise customers on product development, and the enduring importance of trade-offs when choosing between bundled and unbundled solutions. Key takeaways include the complexity of implementing AI across platforms, the likelihood that market cycles will persist despite technological advances, and the need for organizations to carefully weigh integration, flexibility, and long-term risk when adopting new data tools. Highlights from this week's conversation include: AI's Value and Early Ecosystem Integration (1:11) Closed Ecosystems and AI Opportunities (3:21) Personalized Software and the Blank Page Problem (6:17) Transition to Data Industry: Bundling Trends (9:56) Market Cycles and AI's Role in Bundling (12:56) Incumbents, Innovation, and AI Layering (15:53 Longevity of Legacy Systems and Ecosystem Risks (17:56) Switching Costs and Incumbent Advantages (20:33) People Dynamics and the Startup-to-Incumbent Arc (22:50) Enterprise Data Infrastructure: Engineering Challenges (26:33) Fragmentation, Bundling Value, and AI's Insulation Effect (29:54) Too Many Tools: The Real Meaning Behind Bundling Demand (31:36) Trade-offs in Bundling, Unbundling, and AI (33:40) Final Thoughts and Takeaways (34:34) The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it's needed to power smarter decisions and better customer experiences. Each week, we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data. RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

AI is changing the conversation around legacy modernisation, but successful transformation demands far more than powerful models and automated code generation. It requires engineering discipline, governance, and a clear-eyed view of where AI genuinely adds value and where it doesn't.On a recent episode of Tech Transformed, host Christina Stathopoulos, founder of Dare to Data, sat down with Shodhan Sheth, Enterprise Modernisation Platform and Cloud Lead, and Alessio Ferri, Lead Software Engineer, both part of Thoughtworks' Global Legacy Modernisation Service Development Team, to unpack exactly that.Legacy Modernisation With AIThe conversation around AI in legacy modernisation is often muddied by marketing noise. As Sheth puts it, "value and hype can coexist". Overpromising doesn't automatically mean a technology is worthless. The real question for technology leaders is whether AI meaningfully improves the cost-time-value equation for a specific problem.This will always start with problem-solution fitness: has someone already solved a comparable challenge with AI, and does the proposed use case genuinely fit that pattern? As Sheth notes, "most things can be judged by cost, time, and value", which is a simple but effective filter for cutting through the noise.Rethinking Legacy ModernisationGenerative AI is inherently probabilistic, while enterprise software has always relied on deterministic, predictable behaviour. Ferri unpacks this tension by separating two very different use cases: using AI to build systems, and embedding AI within operational systems.When AI writes code, inconsistency is manageable; developers review, test and refine the output before it ships. Production systems are a different matter entirely, where unpredictable behaviour carries real operational risk. As Ferri explains, "AI in production requires different guardrails than AI for building."The practical answer is controlled use. AI might suggest alternative products in a marketplace, for instance, while deterministic rules still guarantee that only in-stock items are ever shown. This lets AI add value within a firm, enterprise-grade constraints.Why AI Alone Won't Modernise Legacy SystemsTechnology is only part of the story. Sheth is clear that modernisation is fundamentally about change, and change is hard, especially across large enterprises with tangled, interconnected systems. Tasks that resist automation are often the hardest, like upskilling teams, explaining complex trade-offs, and winning buy-in; these cannot be solved with code alone. These human and organisational factors are routinely underestimated. Where the impact of a change is broad, he also advises either aligning teams properly across the business or breaking the change into smaller, more manageable pieces, a strategy that reduces resistance and smooths the path to adoption.If you would like to learn more about this, visit Thoughtworks or connect with both Sheth and Ferri on LinkedIn.TakeawaysApplying AI to modernise complex enterprise systems.Distinguishing hype from practical AI applications.Balancing probabilistic AI with deterministic enterprise software.Organisational and leadership challenges in AI modernisation.Building control, traceability, and abstractions in AI workflows.Advice for CIOs and CTOs on AI adoption.Chapters00:00 Introduction to AI and Legacy Modernisation01:18 Meet the Experts: Shodhan and Alessio02:47 Distinguishing Hype from Value in AI05:51 The Tension Between Probabilistic and Deterministic Systems10:13 The Human Element in Modernisation17:12 AI's Role in Enterprise Transformation19:26 Distinguishing Hype from Value in AI22:13 Probabilistic vs Deterministic Systems27:45 People and Processes in Modernisation29:03 Lessons in AI for Legacy Modernisation

This episode features Andre Priebe, Chief Technology Officer at iC Consult Group, the world's largest independent provider of identity security services.Andre has spent more than two decades leading IAM projects for large-scale enterprises across workforce, customer, and device identity domains. As CTO, he steers iC Consult's Centers of Excellence, service portfolio, and vendor strategy, and advises strategic customers on shaping their identity programs.In this episode, Andre explains why the gap between identity security awareness and actual maturity is growing every day, and how AI is making it faster and easier for attackers to find the weaknesses organizations already know they have. He breaks down why recovery is the most underestimated phase of the NIST cybersecurity framework and what it really costs when organizations haven't prepared for it.This episode is a candid look at the state of identity security from someone who sees it across hundreds of organizations every year.Guest Bio Andre Priebe serves as the Chief Technology Officer at iC Consult Group, a vendor-independent system integrator specializing in Identity & Access Management and Identity Security with a global team of over 850 employees. Boasting more than two decades of experience managing IAM projects focused on workforce, customer, and device identities within large-scale enterprises, Andre steers the Centers of Excellence, the service portfolio, and vendor strategy at iC Consult.Andre's role involves a deep focus on emerging approaches, trends, and technologies within the IAM sector, assessing their business value for iC Consult's clientele. He is an innovator with a patent in DevOps-related IAM methodologies, and he holds a B.Sc. and an MBA.Guest Quote  “Threat actors, for them, it's easier than ever before, faster, more efficient to identify that kind of technical debt, the weaknesses. They are not going for your latest Entra ID, conditional access, configuration with all the fancy stuff in place to really make sure that nobody else accessing that resource. No. They're going for the old systems, for old protocols, for areas that might be out of control, out of visibility. Third parties, contractors, unmanaged devices.”Time stamps 0:40 Meet Andre Priebe: Veteran IAM Expert 2:43 The State of Identity Security Awareness 4:51 The Reality of Technical Debt 6:16 How AI Is Changing the Attack Landscape 10:37 Zero Trust Is Mandatory but Almost Nobody Has Achieved It 15:06 What Customers Are Actually Asking About Now 19:19 Planning for Identity Recovery 26:08 The Most Underestimated Part of Recovery 29:56 Return to Trustworthiness vs Return to Operations 39:42 AI Agents and Non-Human Identities 44:02 Conclusion and Final ThoughtsSponsor The HIP Podcast is brought to you by Semperis, the leader in identity-driven cyber resilience for the hybrid enterprise. Trusted by the world's leading businesses, Semperis protects critical Active Directory and Entra ID environments from cyberattacks, ensuring rapid recovery and business continuity when every second counts. Visit semperis.com to learn more.LinksConnect with Andre on LinkedInConnect with Sean on LinkedInDon't miss future episodesLearn more about SemperisHIP Conference 26 is coming to Nashville, September 8–10, 2026.Join us to explore this year's theme, Redefining Resilience, at the world's premier practitioner-led conference focused on securing hybrid identity environments.If you love the conversations on the HIP Podcast, this is where the community comes together in person. Learn more and register at https://www.hipconf.com/.

Philipp Leo — Swiss cyber expert, diplomat, and military officer, always two steps ahead of the storm No Password Required Season 7: Episode 7 - Philipp Leo Philipp Leo co-founded Leo & Muhly Cyber Advisory, a strategic advisory firm specializing in cyber risk, resilience, and geopolitics. Now consulting with governments and private firms in Switzerland and abroad, Philipp has served as a UN observer on the Korean DMZ, trained the next generation of Swiss Armed Forces cyber specialists, and taught at the University of Glasgow. He is also part of Europol's network of experts in data protection and cybercrime and has published stateside in MIT Sloan Management Review. In this episode, Philipp shares his journey from a Swiss bank he couldn't wait to leave to the Korean border, and eventually to the boardrooms of executives who still think cyber risk is someone else's problem. He breaks down the three most dangerous misconceptions executives have about cyber risk, why the CISO is too often a poster child rather than a decision-maker, and the challenges to cyber insurance in Europe. Cyber attorney Jack Clabby and co-host Kayley Jerrell talk with Philipp about his live crisis simulation that nobody can win, how to train cyber warriors, and how nation-state cyber conflict is looking more and more like the age of Caribbean pirates. In the Lifestyle Polygraph, Philipp reveals his favorite book, his eye-opening, go-to celebratory drink, and the weight of his luxury umbrella. He also shares his favorite escape when the complexity of modern life gets to be too much and introduces us to a Zurich commuting tradition that involves swimming home through a river.   In this episode: Philipp's journey from a Swiss bank he couldn't wait to leave to the Korean DMZ and eventually the boardrooms of Fortune 500 executives (00:27 - 02:22) The three most dangerous misconceptions executives have about cyber risk and why cyber risk is a corporate problem, not a technology problem (04:19 - 05:30) How Philipp's live crisis simulation works, why nobody can win it, and why that's exactly the point (05:49 - 08:47) Why cyber crisis teams have improved dramatically but leadership boards remain the weakest link (06:30 - 08:47) The CISO poster child problem: why most CISOs have the accountability without the authority (09:54 - 11:00) Why cyber insurance in Europe has largely failed to deliver and what happens when attackers find your policy before you do (11:17 - 13:44) The OFAC twist: what happens mid-exercise when a Swiss bank decides to pay and then learns the attackers are on the sanctions list (18:38 - 19:31) Training Swiss Armed Forces cyber specialists and why the first lesson is that the other side plays by no rules (19:47 - 21:37) Whether nation states can ever beat the cyber threat and why the east side of Vienna tells you everything you need to know (21:54 - 23:25) Why nation-state cyber conflict has become remarkably similar to the age of Caribbean pirates (23:46 - 24:23) The Lifestyle Polygraph: Endurance, Campari Red Bull, a three-ounce umbrella, a cabin in the Alps, and swimming home through a Zurich river (00:04 - 12:03)   Timestamp Highlights: (00:27) From Swiss banker to UN observer on the Korean DMZ (04:19) The three misconceptions executives have about cyber risk (05:49) The crisis simulation nobody can win and why that's the whole point (09:54) Why the CISO is too often a poster child without real power (11:17) Why cyber insurance in Europe has largely failed (18:38) The OFAC twist that stopped a Swiss bank mid-exercise (19:47) Training Swiss cyber warriors to understand the other side plays by no rules (21:54) Nation states vs. cyber threats: are defenders always outpaced? (23:46) How nation-state cyber conflict mirrors the age of Caribbean pirates (07:25) Always prepared: the three-ounce umbrella that nobody sees   Resources & Links: Leo & Muhly Cyber Advisory  Philipp Leo on LinkedIn ThreatLocker — Presenting sponsor DerScanner — Supporter of this podcast Cyber Florida — The Mother Ship  

AI and legacy systems don't have to be at odds. Graham Parker explains how businesses can modernise existing technology, unlock value from their data and adopt AI without expensive rip-and-replace projects. Graham Parker, Executive Chairman at Britehouse, joins What's Next to discuss how organisations can cut through the AI hype and focus on practical business outcomes. Drawing on decades of experience building and scaling enterprise software businesses, he explains why successful AI adoption starts with understanding business problems, making better use of existing systems, and creating measurable value rather than chasing the latest technology trends. The discussion explores how AI is transforming enterprise software, why legacy systems often remain valuable foundations for innovation, and the importance of data governance when deploying AI solutions. Graham also shares how Britehouse helps organisations modernise critical business applications through incremental improvements instead of disruptive replacements, while highlighting real-world AI projects spanning industrial operations, enterprise software engineering and even professional cycling through its work with Pinarello Q36.5. For South African organisations navigating digital transformation, the conversation offers practical guidance on implementing AI responsibly while keeping people firmly at the centre of technology. 0:00 Intro 2:16 Cutting through the AI hype 3:23 What Britehouse does 6:01 Two practical ways businesses can use AI 9:39 Modernising legacy systems with AI 19:54 AI in professional cycling and Team Q36.5 23:29 The future of enterprise software and AI Follow MyBroadband: X - https://twitter.com/mybroadband Facebook - https://www.facebook.com/mybroadband Instagram - https://www.instagram.com/mybroadband/ Website - https://mybroadband.co.za/news/ #ArtificialIntelligence #DigitalTransformation #EnterpriseSoftware

An airhacks.fm conversation with Tomasz Ptak about: discussion about the guest's path from an Atari and a 486 to professional Java development, loading games from cassette tapes, building a clock with the Logo programming language, making websites with PHP for a community, studying data management and computer science, learning Perl, Bash, Pascal, Python, C, C++, Ruby and Java, Java 1.4 and Java 5 with generics and annotations, an island optimization algorithm switching from Python to Java for memory control, preference for strictly typed languages, first job at motorola Solutions building a server-side Java configuration system with SNMP and SNMP4J, moving from Tomcat to Netty, using Ant and Maven, managing a Jenkins server, rebuilding a buggy no-code Spring CRUD generator, rewriting an application with Apache Wicket for stateful web development, comparing Wicket structure coupling with Jakarta Faces, event sourcing with the Axon Framework and domain objects, bitemporal awareness and Hibernate Envers versioning, the Naked Objects pattern and object-oriented UI generation, third job at Open Market stabilizing a legacy Java SMS gateway, weekly outages and same-day retrospectives, containerizing bare-metal systems with Testcontainers and docker Compose, near zero-downtime deployment with Ansible, migrating from Maven to Gradle and removing the Buck build tool, upgrading legacy systems from Java 1.4 to Java 8, minimalistic Maven usage, a zero-dependency Java builder zb and zero-dependency unit runner zunit using only built-in compiler and jar tools, Java 25 as an automation tool replacing Python scripts, executable JARs without external dependencies, shebang instance-method scripting, reactive or infinite streams and stream gatherers, Git-tag-based versioning for monorepos, the AWS DeepRacer and AWS AI community, the mediocris blog Tomasz Ptak on linkedin: https://www.linkedin.com/in/tomasz-ptak

In this Tyler Tech Podcast episode, Mike Cook, IT director for the city of Redondo Beach, California, shares how his organization is approaching modernization as a foundational shift from aging infrastructure and manual processes to a more stable, automated, and scalable environment. Recorded live at Tyler Connect 2026 in Las Vegas, the conversation highlights Redondo Beach's journey from legacy, on-premises ERP systems to a modern cloud solution, earning the city a Tyler Excellence Award along the way. Like many local governments, Redondo Beach was operating with a highly constrained IT team, aging servers, and outdated software across its technology stack. Frequent downtime, mounting cybersecurity risks, and resource limitations made it increasingly difficult to maintain core systems, let alone improve them. Moving to the cloud helped stabilize the environment, reduce operational risk, and eliminate much of the ongoing maintenance burden that had previously consumed the team's time. With that foundation in place, the city has shifted its focus to modernizing long-standing workflows that remained largely unchanged for nearly two decades. From manual invoice processing and paper-based approvals to broader document digitization efforts, Redondo Beach is now working to streamline operations, introduce automation, and prepare for emerging AI capabilities in a more intentional and strategic way. Throughout the conversation, Mike offers a pragmatic perspective on modernization — emphasizing the importance of aligning technology decisions with business needs, taking a phased approach, and building toward long-term transformation without losing sight of day-to-day service delivery. This episode also highlights the 2026 State CIO Priorities Playbook, designed to help government leaders turn strategy into action. The playbook provides practical insights, real-world examples, and actionable guidance across top priorities like AI, cybersecurity, modernization, accessibility, and digital services. 2026 State CIO Priorities Playbook: From Planning to Execution: Turning Priorities Into Progress And learn more about the topics discussed in this episode with these resources: Download: NASCIO 2026 State CIO Top 10 Priorities Download: AI for Impact: Proven Results for Government Download: Modern Governments Live in the Cloud Download:Building a Resilient Government Watch:What Our Clients Are Saying About PACE Read:ERP Partnership That Deliver Results Read:How Digital Services Shape Public Trust in Local Government Listen to other episodes of the podcast. Let us know what you think about the Tyler Tech Podcast in this survey!

This episode is sponsored by Velosio. Organizations are feeling increasing urgency to make decisions about the future of their legacy solutions. Demands around security and sustainability become more challenging to meet over time, and as cloud solutions continue to evolve, IT and business leaders may see uncertainty in their path toward modernization. Our guests on this episode are Velosio's Carolyn Norton, Practice Director for Cloud Services and Cloud Solutions Specialist Brian Williams. They help us explore why decisions around legacy systems may feel more urgent now than in the past, and how increasing risk is moving conversations forward across industries. We discuss how Microsoft's cloud and AI strategy is changing buyer expectations, and how that in turn is changing their assessment of the value of legacy systems. Some of the factors customers are discussing with Velosio go beyond security to the latest governance demands and the impact of their investments on cyber insurance, Carolyn and Brian explain. They also offer some perspective on the importance of business outcomes and the way they believe executives should be helping to champion and prioritize the most important modernization efforts. More from Velosio: Not sure if your cloud environment is actually helping your business move faster? Schedule a cloud modernization strategy session to identify risks, reduce inefficiencies, and map your next step. Additional Resources Start with your numbers: Compare on-prem vs. cloud costs with the TCO Calculator Explore your modernization path: Explore your next steps with the Dynamics Modernization Roadmap Go deeper on strategy and decision-making: Why Simplification Must Come Before Transformation  Turning Legacy ERP Friction Into a Modern Growth Engine Why Legacy ERP Systems Are a Board-Level Liability The Right Path: Maintain, Fortify, Bridge, or Transform

Welcome to the CanadianSME Small Business Podcast, hosted by Kripa Anand. Today, we explore how outdated systems are holding businesses back and why modernizing your tech stack is key to unlocking AI driven growth. Joining us is Chinkal Patel, Partner at Mantrax Software Solutions. With over two decades of experience, Chinkal shares how businesses can bridge the gap between strategy and execution through smarter digital transformation. Key Highlights SMB Tech Challenges: Chinkal explains the biggest infrastructure issues slowing down growing businesses. Legacy System Risks: Chinkal highlights why delaying modernization can limit future growth. Risk Free Transformation: Chinkal shares how to evolve systems without disrupting operations. Secure AI Adoption: Chinkal discusses how businesses can safely integrate AI into workflows. Private LLM Advantage: Chinkal explains how data secure AI models protect business intelligence. Special Thanks to Our Partners: UPS: https://solutions.ups.com/ca-beunstoppable.html?WT.mc_id=BUSMEWA ADP Canada: https://www.adp.ca/en.aspx For more expert insights, visit www.canadiansme.ca and subscribe to the CanadianSME Small Business Magazine. Stay innovative, stay informed, and thrive in the digital age! To learn more about how we are supporting the ecosystem, please visit the CanadianSME Small Business Foundation at smbfoundation.ca. Disclaimer: The information shared in this podcast is for general informational purposes only and should not be considered as direct financial or business advice. Always consult with a qualified professional for advice specific to your situation.

This week, host Alex Bond sits down with Will Ross, co-founder and CEO of Federato — the AI-native core platform transforming the full insurance policy lifecycle, from underwriting to claims and billing.Will and his Stanford AI research co-founder built Federato on a simple but bold premise: AI should support high-value human decision-making, not just cut costs. And they're putting that conviction to the test.In this episode, Alex and Will discuss:

Podcast: Industrial Cybersecurity InsiderEpisode: OT Security Isn't an IT Problem: What it Takes to Get it RightPub date: 2026-05-19Get Podcast Transcript →powered by Listen411 - fast audio-to-text and summarizationCraig sits down with Wil Klusovsky, a 26-year cybersecurity veteran and CRO at viLogics, to break down why asset visibility and exposure management are the foundation of any solid OT security strategy.From the myth of the air-gapped shop floor to the real-world math behind quantifying cyber risk in dollars and cents, Will and Craig explore how manufacturers can move beyond fear-based selling, bridge the gap between IT and operations, and build programmatic cybersecurity that protects both production uptime and the bottom line.They discuss how to frame cyber risk as business risk, why compensating controls and context matter more than raw vulnerability numbers, and why the CISO's real job is "chief inside selling officer."Chapters:(00:00:00) - Welcoming Will to the Podcast!(00:02:12) - Why Asset Visibility Is the Starting Point for OT Security(00:03:48) - The Air Gap Myth and Legacy Systems on the Shop Floor(00:04:52) - Translating Cyber Risk Into Dollars and Cents(00:07:05) - Quantifying Downtime: Mean Time to Recovery and True Cost of Ownership(00:09:55) - Risk Appetite: Spend to Mitigate or Accept the Exposure?(00:11:32) - Who Really Owns the Risk? Executives, Not CISOs(00:13:00) - Uptime, OEE, and Why Cybersecurity Risk Is Business Risk(00:15:45) - Remote Access Risks and Competing Priorities on the Shop Floor(00:18:04) - The "Chief Inside Selling Officer" — Getting Buy-In Before Budget(00:19:48) - The Get Out of Jail Free Card: Aligning Incentives Across Teams(00:22:30) - Context Over CVE Counts: 600 Critical Vulns, Zero Exploitable(00:25:42) - Prioritizing Remediation by Business Impact, Not Severity Score(00:26:30) - Wrap-Up and Part 2 Preview: Business Impact AnalysisLinks And Resources:Wil Klusovsky on LinkedInWant to Sponsor an episode or be a Guest? Reach out here.Industrial 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.

Jack Burnham assesses the Beijing summit's stalemate on trade and technology. He details Taiwan's $25 billion appropriation for U.S. weapons, highlighting delivery delays within the U.S. defense industrial base for legacy systems. (3/16)1960 NASA PROJECTIONS

City leaders want to innovate, but most are stuck solving yesterday's problems with yesterday's tools. Real breakthroughs come from fundamentally changing how governments listen to communities. Host Stephen Goldsmith speaks with Dr. Francisca Rojas, executive director of the Bloomberg Center for Public Innovation at Johns Hopkins, about how technology and design are helping cities understand what residents actually need—and why legacy systems are the real barrier to change. In this episode, you'll learn: How Savannah used digital mapping to uncover flooding problems FEMA data missed by listening to residents  Why the Maryland Community Business Compass uses AI to democratize information for small businesses How digital twins help communities imagine and approve projects like affordable housing before they're built What Baltimore learned by reframing vacant housing as both a rehabilitation problem and a prevention problem Listener Survey: bit.ly/datasmartpod Music credit: Summer-Man by Ketsa About Data-Smart City Solutions Data-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is working to catalyze the adoption of data projects on the local government level by serving as a central resource for cities interested in this emerging field. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials. Our research focus is the intersection of government and data, ranging from open data and predictive analytics to civic engagement technology. We seek to promote the combination of integrated, cross-agency data with community data to better discover and preemptively address civic problems. To learn more visit us online and follow us on LinkedIn.

Last month, Kees de Wit and Tom van Disseldorp travelled to Sorrento, Italy, at the invitation of Objectway for OWIN26. During this multi-day event, they engaged with C-level leaders and senior decision-makers from across the European financial services industry. In this episode, host Kees de Wit speaks with Maarten Lindner (Lead Investment Products at Rabobank) and Kurt Vanhee (CEO Continental Europe at Objectway) about what it really takes to drive innovation in a complex financial landscape. They explore the tension between innovation and legacy systems, why data and infrastructure form the true foundation for transformation, and how large institutions balance agility with scale amid increasing regulation. The conversation also highlights the importance of a long-term “North Star” vision, the realities of modernizing client journeys, and why innovation in finance is never a finished process—but a continuous journey.   *** Leaders in Finance is made possible by the support of EY, Mogelijk Vastgoedfinancieringen, and Lepaya. More information about our partners is available at our partner page.   *** Want to stay up to date with Leaders in Finance? Subscribe to the newsletter.   *** Questions, suggestions, or feedback? We'd love to hear from you! You can reach us via email at info@leadersinfinance.nl and check out our website.   *** Previous guests on the Leaders in Finance podcast include:  Klaas Knot (President DNB), Frank Elderson (Executive Board, ECB), Roland Boekhout (CEO ASN Bank), Gerrit Zalm (former Minister of Finance and former CEO of ABN AMRO),  Ingrid de Swart (member of the Executive Board, a.s.r.), Pinar Abay (Management Board ING, Head of Retail Banking), Robert Swaak (CEO ABN AMRO), Marcel Zuidam (CEO NN Bank), Saul van Beurden (CEO Consumer, Small & Business Banking, Wells Fargo), David Knibbe (CEO NN Group), Janine Vos (Executive Board, Rabobank), Nadine Klokke (CEO Knab), Maarten Edixhoven (CEO Van Lanschot Kempen), Jeroen Rijpkema (CEO Triodos Bank), Nout Wellink (former President DNB), Onno Ruding (former minister of finance), Yoram Schwarz (CEO Movir), Laura van Geest (Executive Board, AFM),  Katja Kok (CEO Van Lanschot CH), Ali Niknam (CEO bunq), Nick Bortot (CEO BUX), Petri Hofsté (supervisory board member, including at Rabobank and Achmea), Peter Paul de Vries (CEO Value8), Barbara Baarsma (CEO Rabo Carbon Bank), Jan van Rutte (C supervisory board member, including at Rabobank and Achmea), Marguerite Soeteman-Reijne (Chair Aon Holdings), Lidwin van Velden (CEO Nederlandse Waterschapsbank), Jan-Willem van der Schoot (CEO Mastercard NL), Joanne Kellermann (Chair PFZW), Steven Maijoor (former Chair ESMA), Radboud Vlaar (CEO Finch Capital), Jos Baeten (CEO a.s.r.), Karin van Baardwijk (CEO Robeco), Annette Mosman (CEO APG). 

This week we saw some astounding GDP numbers, a modest 2% growth with an astounding 70% attributed to AI capital spending. The US economy is heavily AI centric, starving spending on housing which ultimately contributes to income inequality. At the same time companies are now reducing employee benefits, halting a two decade steady increase. It's all about the shift from labor to machines, I guess. I also talk about the role of legacy systems in the new world of Agentic HR, Agentic Finance, and Agentic ERP. Lots going on, I hope this gives you some perspective on the massive AI economic transformation we're living in. It's all good and one of the most exciting times in our careers. Additional Information Why AI Is A Massive Job-Creation Technology, Despite What You Think Introducing HR 2030: A Vision For Agentic Human Resources The Reinvention of Workday: From System of Record to Platform of Agents The Superagent for HR: Galileo Mars Release Irresistible 2026: The Global Conference for HR Leaders and their Teams (June 8-10, USC) Chapters (00:00:00) - Economy and the Stock Market(00:02:33) - Some Companies Are Reducing Employee Benefits(00:08:17) - The Role of Managers(00:12:59) - The Legacy of Salesforce, Workday(00:18:54) - Want to pitch your AI Stories? Here!

**Interview with Rick Love – President of Vintage Air | Celebrating 50 Years of Classic Vehicle Climate Control!** Today on the Jeep Talk Show, we sit down with Rick Love, longtime President of Vintage Air and SEMA Hall of Fame inductee. As Vintage Air celebrates its 50th anniversary in 2026, Rick shares insights on modern climate control solutions for classic Jeeps and other vintage vehicles. We dive deep into Vintage Air's new **Gen 5 Sure-Fit Systems** specifically designed for Jeep platforms, including: - 1981–1986 CJ5, CJ7 & Scrambler - 1987–1995 YJ Wranglers (V-belt and serpentine belt models) - 1967–1991 Wagoneers & full-size Cherokees These bolt-in kits deliver full **climate control** (heating, A/C, and defrost) while maintaining that classic factory look. Rick explains how the systems use modern R134a refrigerant, high-efficiency blowers, electronic stepper motor controls, and OEM-quality components for dramatically better performance than original or add-on systems. We also discuss: - Why these kits are perfect for restomod and daily-driven classic Jeeps - How they preserve the vintage appearance while delivering modern comfort - Installation tips (25–30 hours for most DIYers) - The new brushless radiator fan kits now available for Jeeps - Dual A/C options for larger vehicles like Wagoneers - Real-world benefits: better cooling, reliable heat, reduced road noise, and freedom from offensive smells when the top is off Whether you're tired of weak factory A/C, no A/C at all, or unreliable old vacuum/cable controls, this episode shows how Vintage Air makes classic Jeep ownership far more enjoyable — especially in hot summers or cold winters. Rick also shares stories from 50 years in the business, including their OEM work on the Ford GT, and why quality components and proper installation matter. Timestamps: 00:00 Introducing Rick Love and Vintage Air 00:25 Pre‑Show Banter and Green‑Screen Jokes 01:53 Overview of Vintage Air Climate Systems 05:26 Preserving Vintage Look with Modern AC 06:29 Comparing Old Jeep AC to Modern Performance 07:51 Episode Wrap‑Up and Subscription Prompt 08:01 Climate Control as Essential Jeep Life‑Support 11:41 Traffic Changes and AC Comfort 13:12 Window Use, Smoking, and AC Benefits 14:46 Humor on Smoking Etiquette 15:06 Jeep Shows and Naming Conventions 16:02 Jeep Duck Decals and Management 18:12 Subaru Duck Trend Compared to Jeep 18:44 Wagoneer and Cherokee Climate Kit Options 19:58 Company Background and Jeep Market Entry 22:04 Contacting Vintage Air via Website 22:32 Engineer's Jeep Passion Drives Kit Development 23:18 Partnership with Vigilante on Wagoneer Builds 23:49 Legacy Systems vs Modern Component Performance 25:06 Reflecting on Jeep Age and Technology 26:08 Climate Control as Life‑Support in Extreme Climates 27:19 Show Promotion and Engine Temperature Basics 28:10 Pricing and Component Overview of Kits 28:57 Refrigerant Sourcing and Professional Charging 29:51 Installer Skill Impact on System Performance 31:31 DIY Installation Time and Guidance 32:52 Common Installation Issues and Leak Troubleshooting 35:03 Dash Removal and Modular Installation Approach 36:49 Full vs Drop‑In Kit Configurations 38:47 Quality Control and Vertical Integration 41:57 Online Guides and YouTube Tutorials 43:56 Saving Money by Self‑Installation 44:44 Learning Automotive Repairs from Youth 45:12 Introducing Brushless Radiator Fan Kit 47:46 Fan Ratings: Watts vs CFM 48:26 Summary of New Brushless Fan Features 49:34 Encouraging Comfort Upgrades for Classic Jeeps 50:55 Personal Jeep Journey and Social Media 52:59 Final Thanks and Listener Appreciation **Links:** - Vintage Air Website: https://www.vintageair.com - Phone: 800-862-6658 - Instagram: @vintageair - Facebook: Vintage Air **Jeep Models Covered:** • CJ5 / CJ7 / Scrambler (1981-1986) • YJ Wrangler (1987-1995) • Wagoneer & Full-Size Cherokee (1967-1991) If you own a classic Jeep and want modern comfort without ruining the vintage vibe, this is a must-watch! Don't forget to like, comment, and subscribe for more Jeep Talk Show interviews every week!

In this episode of the Finovate podcast, host Greg Palmer wraps up conversations with the FinovateEurope Best of Show winners, featuring Márk Hetényi, CEO of Ready. Márk introduces R34DY's innovative platform, which specializes in context engineering to create deterministic maps of systems for AI agents.This technology enables reliable answers for tasks such as documentation, bug fixing, data mapping, and process modeling, addressing the growing demand for AI solutions in financial institutions.Márk also highlights the evolution of R34DY's platform since its debut at FinovateEurope last year, emphasizing its ability to deliver precise and reliable results for complex systems.The discussion delves into the increasing adoption of AI in the financial sector, with Márk sharing insights from his global engagements with banks and institutions. He notes the challenges banks face in applying AI to legacy systems and complex architectures, emphasizing the need for deep AI knowledge and deterministic approaches to overcome these hurdles. Márk also highlights the growing belief in AI's potential to tackle more complex tasks, such as system transformations, while addressing the limitations of traditional AI solutions that often produce unreliable results.Márk concludes by discussing R34DY's vision for democratizing AI technology, making it accessible to smaller and medium-sized institutions that lack the resources of larger banks. He shares his excitement about helping these organizations achieve the same level of efficiency and innovation as their larger counterparts. The episode also touches on Márk's advice for fintechs preparing for events like Finovate, emphasizing the importance of engaging demos and genuine networking to make the most of such opportunities.More info:Ablements by R34DY: https://ablements.com/ ; https://www.linkedin.com/company/r34dy/Márk Hetényi: https://www.linkedin.com/in/markhetenyi/Greg Palmer: https://www.linkedin.com/in/gregbpalmer/Finovate: https://www.finovate.com; https://www.linkedin.com/company/finovate-conference-series/FinovateEurope: https://informaconnect.com/finovateeurope/#Finovate #FinovateEurope #Banking #banks #llm #legacycode #AI #cx #podcast #fintechpodcast #financialservices #innovation #digitraltransformation #fintech #finserv #modernization #financialrisk #r34dy #ablements #corebanking

In this episode of the Finovate Podcast, host Greg Palmer interviews Ohad Kotler, co-founder and CEO of Tweezr, one of the Best of Show winners at FinovateEurope. Ohad shares insights into Tweezr's innovative approach to addressing legacy systems in banking, emphasizing the importance of understanding and reverse-engineering existing systems rather than replacing them outright. He explains how Tweezr combines bottom-up analysis of source code with top-down perspectives on banking operations to create robust capability maps, enabling businesses to design effective changes and evolve their systems. Ohad's firsthand experience with legacy system challenges at ING has shaped Tweezr's AI-native solution, which leverages large language models (LLMs) to provide meaningful insights and facilitate decision-making.The conversation delves into the technical aspects of Tweezr's solution and its unique ability to bridge the gap between deterministic code analysis and business-oriented frameworks. Ohad highlights the importance of clarity, safety, and human oversight in managing legacy systems, especially in the context of AI-driven modernization efforts. He also discusses the recent announcement by Anthropic regarding Cloud Code's ability to modernize systems, noting its impressive speed but emphasizing the need for complementary solutions like Tweezr to ensure stability and meaningful change. The discussion underscores Tweezr's focus on enabling businesses to understand and evolve their systems effectively, while addressing the inherent challenges of legacy code.As the episode concludes, Ohad reflects on Tweezr's momentum following back-to-back Best of Show wins at FinovateEurope. He shares how the event has facilitated valuable conversations with major banks and core banking solution providers, opening doors for collaboration and growth. With plans to continue evolving their solution and engaging with the banking industry, Tweezr aims to play a key role in the global transition toward modernized banking systems. This episode offers a fascinating look at the intersection of AI, legacy systems, and the future of banking technology.More info:Tweezr: https://www.tweezr.io/ ; https://www.linkedin.com/company/tweezr/Ohad Kotler: https://www.linkedin.com/in/ohad-kotler/Greg Palmer: https://www.linkedin.com/in/gregbpalmer/Finovate: https://www.finovate.com; https://www.linkedin.com/company/finovate-conference-series/FinovateEurope: https://informaconnect.com/finovateeurope/#Finovate #FinovateEurope #Banking #banks #llm #legacycode #AI #cx #podcast #fintechpodcast #financialservices #innovation #digitraltransformation #fintech #finserv #modernization #financialrisk #tweezr #corebanking

This episode is a re-air of one of our most popular conversations, featuring insights worth revisiting. This week on The Data Stack Show, John and Matt bring you another edition of the Cynical Data Guy. John and Matt dive into the evolution of customer data infrastructure, the growing influence of low-code tools like Clay, and the blurred lines around the “engineer” title in modern data roles. They also discuss the trade-offs between SaaS adoption and building custom solutions, the pitfalls of enterprise software buying, and the realities of platform lock-in—using Palantir's unique business model as a case study. Key takeaways include the importance of simplicity and scalability in data engineering, the need for clear requirements when evaluating tools, and a healthy skepticism toward sales pitches and “art of the possible” features. Don't miss this month's Cynical Data Guy.  Highlights from this week's conversation include: Reacting to the Rise of the GTM Engineer (1:11) Is "Engineer" the Right Term? (4:49) Low-Code Tools, AI, and Future Workflows (7:14) Simplicity in Data Engineering (14:38) The Pitfalls of "Simple" Solutions (15:18) Choosing SaaS vs. Building In-House (18:26) Business Process Abstraction and SaaS Adoption (21:31) Enterprise Software: Art of the Possible vs. Practicality (24:31) Sales Advice: Focus on Customer Needs (27:11) Forward Deployed Engineers and Delivery Models (29:05) Platform Lock-In: When Is It a Dirty Word? (36:41) Legacy Systems and the Reality of Lock-In (39:53) Final Thoughts and Takeaways (40:55) The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it's needed to power smarter decisions and better customer experiences. Each week, we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data. RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

"Shopify POS is a powerful foundation, but it's not a turnkey solution for every retail scenario. The platform's maturity is a moving target, and understanding its ecosystem gaps is crucial for strategic planning and preventing costly misalignments."Joseph Brown, Operations Director, KubixAre you considering Shopify POS for your retail operations but unsure about its strengths and limitations? You're not alone.As one of the leading ecommerce platforms, Shopify has rapidly expanded into the retail point-of-sale space, but its product is still evolving. In this pod, we explore the realities of implementing Shopify POS backed by expert insights from Joe Brown, Operations Director at Kubix, who has direct experience implementing POS for different business models. Whether you're running a standalone store or extensive retail estate, this episode has practical advice, product limitations and decisions that can make or break your omnichannel strategy.The reality…Shopify POS has become more capable for retail, especially in multistore environments with enhanced permissions and faster workflows. However, it still has capability gaps that can surprise retailers, and requires careful planning, discovery and customisation. Key discussion points1. Deep discovery is criticalA recurring theme is the importance of thorough discovery when planning POS projects. Retailers should map existing workflows, identify edge cases (like made-to-order products, custom packing, or complex stock movements) and assess how Shopify's platform supports or complicates these processes.Rushing into implementation without understanding detailed workflows can lead to costly rework or operational issues down the line. 2. Inventory management limitationsOne of Shopify's gaps is in inventory management for complex use cases. For example, handling stock exchanges between stores where products are unavailable locally remains problematic. Shopify currently supports split fulfillment orders but lacks native support for multi-quantity line items or real-time transfer workflows, which can frustrate larger or more nuanced operations.3. Hardware cost & compatibilityPOS selection is more than a software decision; hardware investment is foundational. Some issues arise when existing custom integrations, like bespoke receipt printers or scanner setups, are incompatible with new POS hardware or updates. Testing hardware thoroughly before rollout is essential, and technical teams need to validate network setups, peripherals and existing workflows.Practical tip: Shopify's recommended hardware kits may not suit every store. Custom hardware may be necessary, but it can add complexity and cost.4. Ecosystem maturity and functional gapsWhile Shopify's ecosystem is growing, certain functionality including multi-currency gift cards, B2B support or advanced inventory tracking, lag behind expectations. Retailers with complex order workflows may need to integrate third-party apps or custom solutions to fill these gaps.Chapters[00:45] Introduction to Shopify POS and Its Evolution[03:30] Market Positioning and Retail Challenges[06:40] Discovery Process in Retail POS Implementations[09:25] Hardware Considerations for Shopify POS[12:20] Custom Development Needs in Retail[15:10] Omnichannel Experience and Customer Journey[17:55] Integration Challenges with Legacy Systems[20:50] Inventory Management and Workflow Complexities[23:15] Future Improvements and Wish List for Shopify POS

In "Execution, Visibility, and Financial Control: How Infios Solves Global Supply Chain Challenges", Joe Lynch and Alan Rowlett, Corporate Vice President of Infios, discuss how unifying supply chain execution and financial data builds resilience.  About Alan Rowlett Alan D. Rowlett, Jr., PhD, is a transformational global operations and supply chain executive focused on turning complexity into competitive advantage. With more than 25 years of experience spanning global enterprise, service, and logistics environments, he is known as a structured disruptor who challenges conventional thinking while strengthening resilience, modernizing operating models, and leveraging technology to elevate financial performance. Alan brings a disciplined, forward-looking perspective to today's supply chain challenges and is a frequent voice in industry and academic forums focused on innovation, leadership, and the future of global commerce.  About Infios Infios is a global leader in intelligent supply chain execution, relentlessly making supply chains better - every single day. With a portfolio of adaptable solutions, we empower businesses of all sizes to simplify operations, optimize efficiency and drive measurable impact. Infios serves more than 5,000 customers across 70 countries, delivering adaptable and innovative technologies that evolve with changing business needs. Our deep expertise and commitment to purposeful innovation help businesses turn supply chains into a competitive advantage, building resilience and shaping a more sustainable future. Infios is a joint venture of international technology provider Körber and global investment firm KKR. Learn more at www.infios.com. Key Takeaways: Execution, Visibility, and Financial Control: How Infios Solves Global Supply Chain Challenges In "Execution, Visibility, and Financial Control: How Infios Solves Global Supply Chain Challenges", Joe Lynch and Alan Rowlett, Corporate Vice President of Infios, discuss how unifying supply chain execution and financial data builds resilience. Visibility drives value. The "End-to-End" Rebrand: Infios represents a strategic unification of industry-leading tools (like MercuryGate TMS and Körber WMS) under one flag. The goal is to move beyond "handshake" visibility to true "order-to-cash" control, spanning the entirety of a product's global journey rather than just the final few days of transport. The Three Pillars of Supply Chain: Alan defines the core of any successful supply chain through three consistent threads that have remained unchanged since the 1980s: Execution (doing the work), Visibility (status and positioning), and Financials (the ultimate measure of winning or losing). Financial Control as the Ultimate Truth: A supply chain's success is ultimately validated by the CFO. Infios focuses on eliminating data inconsistencies between operations and finance, ensuring that freight spend, accruals, and internal ledgers align perfectly to prevent the "discrediting" of logistics data. The "Silent" ROI of Freight Audit: Freight Audit and Payment (FAP) isn't just about catching errors; it's about contract adherence. Infios helps shippers recover significant costs from "freight paid but not used" (like discarded parcel labels) and service failures (like shipments missing a guaranteed 8:00 AM window). Combating Sophisticated Freight Fraud: With the rise of AI-generated fake documentation and "check-interception" by organized cartels, Infios uses its integrated system to flag discrepancies—such as a carrier being tendered as "Company X" but submitting paperwork as "Company Y"—before the invoice is paid. Legacy Systems vs. Cloud Agility: Many global enterprises are "institutionalized" with on-premise mainframes. Alan argues that the transition to the cloud is no longer just about cost-cutting; it's about adaptability. Cloud-based architecture allows for "plug-and-play" integration of AI and data aggregators that on-premise systems simply can't support. Intelligent Connectivity as a Competitive Edge: The future belongs to organizations that unify physical movement with financial flow. By automating "low-value" manual audit drudgery, companies can elevate their staff from processing transactions to analyzing high-level freight spend trends and driving strategic value. Learn More About Execution, Visibility, and Financial Control: How Infios Solves Global Supply Chain Challenges Alan Rowlett | Linkedin Infios | Linkedin Infios White Paper: Beyond the Invoice: Unlocking strategic value of Freight Audit and Payment programs.  eBook: The Connected Execution Playbook  White Paper: Integrating FAP and TMS: The hidden engine behind smarter transportation spend  Webinar: Driving Cost Savings with FAP   The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube

Welcome to this week's episode of the To the Point Cybersecurity Podcast, brought to you by Forcepoint. Join hosts Rachael Lyon and Jonathan Knepher as they dive into the fascinating world of cyber defense, covert channels, and the evolving role of AI with special guest Jacob Anderson, founder of Beyond Ordinary Software Solutions. With over 30 years of experience across industries like finance, defense, and entertainment, Jacob Anderson brings a unique perspective on everything from steganography in the age of AI, to the challenges of cryptanalysis, and the critical importance of securing legacy infrastructure. In this episode, you'll hear how today's cyber threats are changing—not just for governments or top-level spies, but for everyone. The conversation also explores the sometimes surprising ways AI is shaping both offensive and defensive tactics in cybersecurity, and why vigilance is more important than ever. Tune in as the team unpacks real-world examples, emerging industry trends, and practical advice for organizations juggling legacy and modern tech. Whether you're a cyber professional, a curious entrepreneur, or just trying to keep pace with the rapid evolution of technology, you won't want to miss the invaluable insights offered in today's show. For links and resources discussed in this episode, please visit our show notes at https://www.forcepoint.com/govpodcast/e372

Are we ready to move into an era of wild predictions about where the future of Enterprise software is headed in 2026 and beyond? SHOW: 999SHOW TRANSCRIPT: The Cloudcast #999 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW NOTESThe SPAC-king is going to fix legacy software All Enterprise software is dead Microsoft and Software Survival (Stratechery)WHAT HAPPENS TO ENTERPRISE SOFTWARE NEXT?How much do enterprises want to write their own software? How much do enterprises wish they could write more software?How much do enterprises not understand the economics of owning their own software?How much does “big SaaS” or just “big Enterprise software” actually help because people already know it?Is it possible that this new Agentic-driven software could create a type of new software community? Are “open” software communities prepared for the emerging economics of AI-created software? FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Lee Zen, CTO of Yahoo, joins Tobias to unpack what it takes to modernize one of the internet's most iconic consumer portfolios—Mail, Finance, Sports, News, and Search—while operating with real legacy constraints at massive scale. We talk about Yahoo's evolution from its public days to private equity ownership, how modernization actually happens (cloud, platform bets, experimentation), and why shipping velocity becomes the most honest forcing function when you're rebuilding the engine mid-flight. Finally, we go deep on AI: where it meaningfully improves consumer experiences (mail catch-up, news takeaways, fantasy insights), how teams should avoid “AI labels” without user value, and what it means when AI becomes a tool—and increasingly a coworker.

Technology modernization in manufacturing is not a list of shiny tools. It is a sequencing problem. In this episode of Manufacturing Hub, Vlad Romanov and Dave Griffith break down why the executive vision for AI often collides with the reality of the plant floor, and what a practical path forward actually looks like when you account for data quality, legacy controls, networking, and the true cost of integration.A core theme in this conversation is imperfect information. Leaders often believe the data already exists because reports exist. But a stack of paper, a few spreadsheets, or a single counter value is not the same as contextualized, trustworthy history that can drive decisions or support advanced analytics. Vlad and Dave walk through why foundational work matters, what teams usually miss during modernization, and how quickly the bill grows when you discover your architecture is outdated, undocumented, or full of dependencies you cannot see until you open panels and start tracing signals.You will also hear a grounded debate on how to think about SCADA, MES, historians, dashboards, and what it would actually mean to “feed data into AI” in a manufacturing context. The takeaway is simple. If you want better outcomes, you need a better understanding of your current state, a clear business case, and a roadmap that prioritizes what matters operationally. Modernization is not one big upgrade. It is a series of decisions that either reduce friction or create it.About the hostsVlad Romanov is an industrial automation and manufacturing expert focused on plant assessments, controls and data architecture, IT and OT integration, and workforce upskilling. Vlad has over 10 years of experience across large manufacturers and complex multi site environments, working from PLC and HMI layers up through SCADA, MES, and ERP integration programs. He is the founder of Joltek, where the mission is to help manufacturers modernize safely, build internal capability, and deliver results that actually survive handoff to operations.Learn more about Joltekhttps://www.joltek.comhttps://www.joltek.com/servicesDave Griffith is an industrial automation practitioner and consultant who works closely with manufacturers to modernize legacy environments, improve reliability, and build practical systems that operators and maintenance teams can support. Dave brings a strong perspective on what is feasible in real plants, where uptime, risk, budget, and organizational readiness drive every decision.Timestamps00:00:00 Welcome and why this month is about technology modernization00:02:10 The real problem with “just add AI” in manufacturing00:04:15 Quick background on Vlad and Dave and the work they do00:05:25 The disconnect between the perfect factory vision and the plant floor00:06:25 Vlad on business cases, integration reality, and infrastructure gaps00:09:05 Dave on imperfect information and why reports are not data00:14:35 What executives actually want from AI and why it is often about people constraints00:20:25 How to get there, hardware first, data normalization, and context00:22:05 Vlad on assessments, legacy hardware, and why upgrades get complicated fast00:39:00 New facility planning mistakes and why early decisions lock you in00:45:10 You have the data, now what, OEE baselines, bottlenecks, and root causes00:58:10 Final takeaways, inventory your architecture and treat data like an assetReferences and links mentionedManufacturing Hub Podcasthttps://www.manufacturinghub.liveProveIt Conferencehttps://www.proveitconference.comAutomate Showhttps://www.automateshow.comIgnition Community Conferencehttps://icc.inductiveautomation.comIf you are watching on YouTube, subscribe so you do not miss the rest of this month's deep dives on hardware, data teams, and practical applications that actually work on real plant floors.

Legacy systems work. So why do companies waste millions rewriting them? In this episode of Arguing Agile, Product Manager Nisha Patel joins Product Manager Brian Orlando and Enterprise Business Agility Consultant Om Patel for a debate on the dangerous obsession with rewriting legacy systems — from COBOL to green screens — that still power ATMs, government systems, and Fortune 500 billing engines. Watch or listen as we discuss the myth that "modern" equals "better" and reveal how most rewrites fail because they ignore customer value, edge cases, and real ROI as well as other topics, such as:How Chesterton's Fence applies to code (Brian still doesn't know)How Developers kill software with Resume-Driven Development (RDD)How Finance kills software with spreadsheet-driven development (SDD)Why chasing "parity" kills innovationRisk Mitigation, or, framing technical debt in business termsIf you've ever worked on or tried to replace legacy systems, this episode will either give you nightmares, or help how you approach legacy systems while helping you also stop burning budget on vanity projects.#LegacyCode #ProductManagement #AgileCoachingREFERENCESAA148 - An Introduction to Software Development FinancesLINKSYouTube: https://www.youtube.com/@arguingagileSpotify: https://open.spotify.com/show/362QvYORmtZRKAeTAE57v3Apple: https://podcasts.apple.com/us/podcast/agile-podcast/id1568557596INTRO MUSICToronto Is My BeatBy Whitewolf (Source: https://ccmixter.org/files/whitewolf225/60181)CC BY 4.0 DEED (https://creativecommons.org/licenses/by/4.0/deed.en)

In this episode of Eye on AI, Craig Smith sits down with Jarrod Johnson, Chief Customer Officer at TaskUs, to unpack how agentic AI is changing customer service from conversations to real action.    They explore what agentic AI actually is, why chatbots were only the first step, and how enterprises are deploying AI systems that resolve issues, execute tasks, and work alongside human teams at scale.    The conversation covers real-world use cases, the economics of AI-driven support, why many enterprise AI pilots fail, and how human roles evolve when AI takes on routine work.    A grounded look at where customer experience, enterprise AI, and the future of support are heading. Stay Updated: Craig Smith on X: https://x.com/craigssEye on A.I. on X: https://x.com/EyeOn_AI   (00:00) Jarrod Johnson and the Evolution of TaskUs (03:58) Why AI Became Core to Customer Service (06:07) Humans, AI, and the New Support Model (07:16) What Agentic AI Actually Is (11:38) TaskUs as an AI Systems Integrator (14:59) How Agentic AI Resolves Customer Issues (19:52) Workforce Impact and the Human Role (23:26) Why Most Enterprise AI Pilots Fail (30:32) Real Client Case Study: Healthcare Impact (36:34) Why Customer Service Still Feels Broken (38:49) The End of IVR Menus and Legacy Systems (42:25) AI Safety, Compliance, and Governance (49:38) Training Humans for AI and RLHF Work (54:34) The Future of Agentic AI in Enterprise  

Send us a textOn this episode of Embedded Insiders, Ken sits down with Felix Galindo, a Principal Engineer at Digi International, to discuss the impending upgrade crisis for industrial facilities and legacy connectivity in Industrial IoT.Watch this segment: https://www.youtube.com/watch?v=ambwtKT63s0The next segment is sponsored by Infineon Technologies, featuring Rich and Sivaram Trikutam, Senior Vice President of Wireless Products at Infineon Technologies. The two discuss everything you need to know about Wi-Fi, including Infineon's latest Wi-Fi transceiver, a 20-MHz tri-radio device for IoT applications.For more information, visit embeddedcomputing.com

This interview was recorded for GOTO Unscripted.https://gotopia.techRead the full transcription of this interview here:https://gotopia.tech/articles/408Michael Nygard - Chief Architect at Nubank & Author of "Release It!"Charles Humble - Freelance Techie, Podcaster, Editor, Author & ConsultantFULL TALK TITLEBuilding Software That Survives: Autonomy, Architecture & Alignment at ScaleRESOURCESMichaelhttps://www.linkedin.com/in/mtnygardhttps://twitter.com/mtnygardhttp://www.michaelnygard.comCharleshttps://bsky.app/profile/charleshumble.bsky.socialhttps://linkedin.com/in/charleshumblehttps://mastodon.social/@charleshumblehttps://conissaunce.comDESCRIPTIONMichael Nygard, author of the influential "Release It!" and Chief Architect at Nuank, discusses his journey from programmer to technical leader.In this conversation, he shares insights from major transformation projects at Sabre and Nubank, exploring the nuances of centralization versus autonomy, the often-misunderstood implications of Conway's Law, and how architectural boundaries can reduce the need for constant organizational alignment.He emphasizes that effective technical leadership involves more than reorganizations - it requires understanding communication structures, celebrating the right behaviors, and creating systems that enable teams to operate independently within well-defined boundaries.RECOMMENDED BOOKSMichael Nygard • Release It! 2nd Edition • https://amzn.to/3WJeKV8Michael Nygard • Release It! 1st Edition • https://amzn.to/3XCkiRfRichard Monson-Haefel • 97 Things Every Software Architect Should Know • https://amzn.to/3JdRYU2Charles Humble • Professional Skills for Software Engineers • https://www.conissaunce.com/professional-skills-shortcutPatterson, Grenny, McMillan & Switzler • Crucial Conversations • https://amzn.to/3LhGHTaYevgeniy Brikman • Fundamentals of DevOps and Software Delivery • https://amzn.to/3WMPMFUTod Golding • Building Multi-Tenant SaaS Architectures • https://amzn.to/3YfM49oJacqui Read • Communication Patterns • https://amzn.to/3E37lvvMatthew Skelton & Manuel Pais • Team Topologies • http://amzn.to/3sVLyLQJames Stanier • Become an Effective Software Engineering Manager • https://amzn.to/3vHrx1EBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

In this episode of Disruption/Interruption, host KJ sits down with Jayesh Kumar, Co-Founder at Aonami. Discover how legacy systems are being disrupted, the challenges of digital transformation, and why true innovation means building solutions that give time back to people. Four Key Takeaways: The Problem with Legacy Systems [6:10]Banks and healthcare institutions are bogged down by dozens of outdated, patchwork systems, making innovation slow and compliance difficult. Meeting Clients Where They Are [14:54]True disruption comes from understanding a client’s current state and building solutions that fit their unique needs, rather than forcing a one-size-fits-all approach. The Human Side of B2B Sales [20:03]Selling transformative technology to large organizations is about building relationships and convincing multiple teams, not just one decision-maker. The Real Goal of Technology [28:47]The ultimate aim of innovation should be to give people time back, making work more productive, creative, and compassionate. Quote of the Show (34:23):"True disruption really happens not by doing a lot of work, but by doing less in a much smarter way. You should be building systems that start giving time back to people." – Jayesh Kumar Join our Anti-PR newsletter where we’re keeping a watchful and clever eye on PR trends, PR fails, and interesting news in tech so you don't have to. You're welcome. Want PR that actually matters? Get 30 minutes of expert advice in a fast-paced, zero-nonsense session from Karla Jo Helms, a veteran Crisis PR and Anti-PR Strategist who knows how to tell your story in the best possible light and get the exposure you need to disrupt your industry. Click here to book your call: https://info.jotopr.com/free-anti-pr-eval Ways to connect with Jayesh Kumar: LinkedIn: http://www.linkedin.com/in/jayeshrout Company Website: https://aonamitech.com How to get more Disruption/Interruption: Amazon Music - https://music.amazon.com/podcasts/eccda84d-4d5b-4c52-ba54-7fd8af3cbe87/disruption-interruption Apple Podcast - https://podcasts.apple.com/us/podcast/disruption-interruption/id1581985755 Spotify - https://open.spotify.com/show/6yGSwcSp8J354awJkCmJlDSee omnystudio.com/listener for privacy information.

As 2025 draws to a close, we're replaying some of the show's standout conversations from this year. This episode with James Kerr remains one of the most thought-provoking discussions. Whether you're hearing it for the first time or revisiting the insights, there's plenty here to fuel your leadership thinking as we head into the new year.James Kerr is a writer, coach, and consultant who specialises in leadership, culture and mindset in high-performing teams. His global bestseller, 'Legacy' has been described by The Daily Telegraph as “the modern version of Vince Lombardi's guides to coaching”, saying that "for those searching for genuine keys to team culture, it is manna from heaven".James has worked with Tier One Special Forces, the English Premier League, international cricket, Formula One, America's Cup, Major League Baseball, and Olympic pathways. He has guest lectured at Westpoint Military Academy, Sandhurst and Eton College and written for the BBC, Independent, Times and Guardian. His corporate clients have included Google, Spotify, Goldman Sachs, McKinsey & Co, Adidas, and Arc'teryx.In this frank discussion, Dominic explores the synergy between individual leadership and collective vision, and the critical role of cultural evolution in maintaining relevance and potency. James shares how the iconic “Sweeping the Shed” mantra, revolutionised team culture at the All Blacks, and how these principles can be applied beyond the rugby field into business and everyday life.DiscoverThe Role of Values in Sustainable Success: By embracing values such as humility, responsibility, and respect, the All Blacks created a foundation for long-term success, demonstrating that values-driven cultures outperform talent-driven ones.The Power of Rituals and Symbols: The enduring significance of the Haka demonstrates how rituals and symbols can reinforce identity, unity, and purpose within a team.Leadership Across Domains: The principles of leadership and cultural excellence are universal and can be applied across diverse fields, demonstrated by James' work in sports, military, and business.Neuroscience and Leadership: The interplay between neuroscience and performance underpins how understanding the brain's responses to fear and confidence can inspire leaders to strike a balance between challenges and support, fostering growth and accountability.Connect with James - https://www.linkedin.com/in/james-kerr-09a70bbConnect with Dominic - https://www.linkedin.com/in/dominicmonkhouseBook recommendations:Viktor Frankl - Man's Search For Meaning - https://www.penguin.co.uk/books/347571/mans-search-for-meaning-by-viktor-e-frankl/9781846046384Daniel Kahneman - Thinking, Fast and Slow - https://www.penguin.co.uk/books/56314/thinking-fast-and-slow-by-kahneman-daniel/9780141033570Daniel Coyle - The Culture Code - https://danielcoyle.com/the-culture-code/Jim Collins - Good To Great - https://www.jimcollins.com/article_topics/articles/good-to-great.html#articletopJames' book Legacy is out now - https://danielcoyle.com/the-culture-code/Dominic's book Mind Your F**king Business is out now - https://www.monkhouseandcompany.com/mind-your-fking-business/--------Sign up to receive our weekly Curious Leadership newsletter: https://subscribe.monkhouseandcompany.comFollow Dominic on LinkedIn: https://www.linkedin.com/in/dominicmonkhouse

2025 was a defining year for cybersecurity. In Part One of Reimagining Cyber's Review of 2025, we break down the biggest cybersecurity trends, threats, and technologies shaping the future. Topics include AI-driven security, automation, legacy systems in critical infrastructure, ransomware response, identity security, and deepfake attacks.Hear expert insights from Richard Stein, Gary Kessler, Ed Gaudet, Tom Tovar, and former FBI executive Matt Gorham on maritime cybersecurity, healthcare cyber risk, federal incident response, and digital trust.Part Two explores the human side of cybersecurity.It's 5 years since Reimagining Cyber began. Thanks to all of our loyal listeners!As featured on Million Podcasts' Best 100 Cybersecurity Podcasts Top 50 Chief Information Security Officer CISO Podcasts Top 70 Security Hacking Podcasts This list is the most comprehensive ranking of Cyber Security Podcasts online and we are honoured to feature amongst the best! Follow or subscribe to the show on your preferred podcast platform.Share the show with others in the cybersecurity world.Get in touch via reimaginingcyber@gmail.com

Innovation in banking is often talked about, but rarely understood.In this episode of Couchonomics with Arjun, Giovanni Everduin, Chief Strategy and Innovation Officer and Head of Ventures at Commercial Bank International, joins the couch to unpack what innovation really looks like inside a regulated bank.From legacy systems and institutional mindsets to AI, digital assets, and on-chain finance, this conversation goes beyond buzzwords to explore where real value is being created and where the industry may be getting ahead of itself.Giovanni shares why regulation can act as a catalyst for innovation, how banks and fintechs are moving from competition to partnership, and why the future of finance will be hybrid rather than fully on-chain or off-chain.A candid discussion on tokenization, stablecoins, privacy, and why understanding the problem always matters more than chasing the latest technology.

Podcast: Industrial Cybersecurity InsiderEpisode: How OT Managed Services Are Revolutionizing Industrial CybersecurityPub date: 2025-12-09Get Podcast Transcript →powered by Listen411 - fast audio-to-text and summarizationDino sits down with industrial automation and industrial cybersecurity expert Kevin Kumpf, fresh off the floor of Rockwell Automation Fair 2025. They discuss why OT managed services are finally becoming viable for manufacturing, the critical 80/20 split between people and technology challenges, and how the industry's "silver tsunami" of retiring talent is forcing a reckoning. Kevin shares insights on building unified platforms that can manage everything from 30-year-old paper tape systems to AI-powered smart factories, why IT's "patch now" mentality fails in OT environments, and how the DG 360 platform is delivering true cyber-physical convergence today - not tomorrow. They discuss the reality that most OT cybersecurity tools only discover 30% of plant assets, the importance of human-in-the-loop decision making, and why the OT ecosystem - not IT - must drive the managed services revolution. This is a must-listen for anyone struggling with the complexity of protecting and managing modern manufacturing facilities.Chapters:(00:00:00) - Introduction and Rockwell Automation Fair Recap(00:01:43) - The OT Managed Services Evolution and Rebranding(00:04:15) - The Three-Legged Stool: IT, OT, and OEMs(00:07:32) - Point Solutions vs. Unified Platforms in Manufacturing(00:10:45) - The DG 360 Vision: 360-Degree Plant Visibility(00:14:28) - The Silver Tsunami and Training Challenges(00:18:22) - Alert Fatigue and Actionable Intelligence(00:22:45) - Software Defined Automation and Legacy Systems(00:26:18) - Why OT Must Drive the Cybersecurity Conversation(00:30:35) - Real-Time Demo and Implementation ReadinessLinks And Resources:Kevin Kumpf on LinkedInWant to Sponsor an episode or be a Guest? Reach out here.Industrial 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.

Core banking is no longer a back-office topic.Cloud, payments, AI and digital assets are forcing banks to rethink the foundations of how money moves.In this episode, Arjun sits down with Vishal Dalal, Global CEO of Pismo, to unpack the evolution of modern core banking, the rise of cloud-native architectures, and why migration, resilience and payments complexity are the real bottlenecks shaping the future.From a startup getting thrown out of buildings in Brazil to powering global banks across 70 plus countries, Vishal breaks down the hard truths of building critical infrastructure in a world that expects zero downtime, instant scalability and absolute safety.In this episode:• How Pismo went from a 5,000-card pilot to powering tens of millions of accounts• Why resilience, recovery and disaster readiness are now core banking table stakes• The real challenges of migrating 200 million accounts from legacy systems• Why every country building its own payment rails increases global complexity• How stablecoins, tokenized deposits and CBDCs force a rethink of the entire backend• Why digital assets and real-time settlement are pulling core banking into a new era• How AI is reshaping migrations, operations, debugging and developer speed• Why being cloud-only opens some markets and immediately disqualifies others• How leaders should balance velocity with safety in a geopolitical environment full of risk

In this weeks' Scale Your Sales Podcast episode, my guest is Frank Sondors.   Frank comes with over a decade of experience in B2B Sales, working for companies like Google, SimilarWeb, Black Crow and Whatagraph whether as an individual contributor and all the way leading large sales teams. Currently, he's building Salesforge.ai to give companies the ability to blend their current sales efforts with AI agents to maximize pipeline and drive down cost. In less than a year they've scaled up from $0 to $3M ARR.   In today's episode of Scale Your Sales podcast, Frank shares how Salesforge scaled to $30M ARR in under a year by using AI agents to increase productivity and reduce operational costs. The discussion highlights the practical realities of AI adoption, from enabling small businesses to compete at a higher level to addressing the challenges of empathy, nuance, and system integration within larger organizations. This episode offers actionable guidance and real-world examples for sales leaders and executives shaping their digital transformation strategies.   Welcome to Scale Your Sales Podcast, Frank Sondors.     Timestamps: 00:00 AI-Driven Sales Scaling 04:32 Tech Transforming Speed and Context 09:45 Human vs. AI in Business 11:41 AI Follow-Up for Sales Insights 16:45 AI Agents and User Curiosity 20:20 Enterprise vs. SMB Pricing Comparison 23:00 Technology Adoption in Enterprise 26:13 Embrace Autonomous Systems Now 28:08 Side Project for Legacy Systems 32:21 Optimizing Costs Through Efficiency 34:36 Elon Musk: Controversial Tech Visionary   published book: https://www.amazon.com/AI-SDR-Your-Edge-100M-ebook/dp/B0FTYKF39H/ref=sr_1_1?crid=1XJ4K6HRAF7ZZ&dib=eyJ2IjoiMSJ9.emcVRBDHC8e7fpXgNYI7sA.WU6gyafRCVrv8NuVAzOb1Gp6-bhEULZgLJSHEzz5eNA&dib_tag=se&keywords=frank+sondors&qid=1760378361&sprefix=frank+sondors%2Caps%2C146&sr=8-1   https://www.linkedin.com/in/franksondors/   https://x.com/franksondors     Janice B Gordon is the award-winning Customer Growth Expert and Scale Your Sales Framework founder. She is by LinkedIn Sales 15 Innovating Sales Influencers to Follow 2021, the Top 50 Global Thought Leaders and Influencers on Customer Experience Nov 2020 and 150 Women B2B Thought Leaders You Should Follow in 2021. Janice helps companies worldwide to reimagine revenue growth thought customer experience and sales.   Book Janice to speak virtually at your next event: https://janicebgordon.com   LinkedIn: https://www.linkedin.com/janice-b-gordon/   Twitter: https://twitter.com/JaniceBGordon   Scale Your Sales Podcast: https://scaleyoursales.co.uk/podcast   More on the blog: https://scaleyoursales.co.uk/blog   Instagram: https://www.instagram.com/janicebgordon   Facebook: https://www.facebook.com/ScaleYourSales   And more! Visit our podcast website https://scaleyoursales.co.uk/podcast/ to watch or listen.

Industrial Talk is talking to Jay Limburn, Chief Product Officer about "Unleashing the power of data for operational excellence". Scott Mackenzie hosts the Industrial Talk Podcast, featuring industry professionals like Jay Limburn from Atacama, who discusses the importance of data trust and AI initiatives. Atacama's platform helps organizations integrate and enrich data from various sources, providing a unified view and a trust score to ensure data reliability. This is crucial for AI and automation, which are essential for business efficiency and competitive advantage. Upcoming events include Power Gen in January and M D and M West in February. The conversation emphasizes the need for clean data to support AI and automation, which is vital for resilient businesses. Action Items [ ] Reach out to Jay Limburn on LinkedIn to learn more about Atacama's solutions.[ ] Visit the Atacama website at atacama.com to explore their data trust platform. Outline Introduction to Industrial Talk Podcast Scott MacKenzie welcomes industry professionals and stresses the importance of storytelling to inspire the next generation of industrial leaders.Scott highlights the excitement in the industry and the need for advocates to share their stories.Scott introduces Jay Limburn from Atacama, focusing on the importance of data and the role of companies like Atacama in data insights. Announcements and Upcoming Events Scott announces two new podcasts: "Ask Molly" and "The Business Beatitudes.""Ask Molly" features Scott's daughter Molly, who helps him with marketing challenges."The Business Beatitudes" focuses on seven components of success in industry, emphasizing virtues like humility and selflessness.Scott mentions upcoming events: Power Gen in January and M D and M West in February, highlighting the importance of power generation and manufacturing. Introduction of Jay Limburn and Atacama Scott introduces Jay Limburn, Chief Product Officer at Atacama, and discusses the importance of data in the industry.Jay explains Atacama's focus on Data Trust, which involves giving meaning to data to make better decisions.Jay shares his 25-year background in data and AI, emphasizing the importance of data in AI initiatives.Scott and Jay discuss the challenges of data cleanliness and the importance of a solid data foundation for AI success. Challenges of Legacy Systems and Data Integration Scott and Jay discuss the challenges of integrating legacy systems with modern data sources.Jay explains how Atacama connects to various data sources, enriches metadata, and provides data quality and observability.Jay emphasizes the importance of having a unified view of data from different sources to support AI initiatives.Scott and Jay discuss the human aspect of data management and the need for trust in data to drive automation and efficiency. Trust and Quality in Data Jay explains the concept of a trust score, which measures the reliability of data, and how it can be configured based on industry standards.Scott and Jay discuss the importance of trust in data for decision-making and the impact of data quality on business processes.Jay highlights the role of anomaly detection and auto-correction in maintaining data quality.Scott and Jay discuss the importance of trust in data for automation and the competitive advantage it provides. Evolution of Data and Change Management Scott and Jay discuss the dynamic nature of data and the need for continuous data management.Jay explains how Atacama's Data Trust Index helps organizations evolve their...

Welcome to another game-changing episode of the Building Your Money Machine Show! Today, I'm pulling back the curtain on the secret sauce to actually achieving your financial goals — and let me tell you, it's not just about dreaming bigger or scribbling bold predictions into your journal. If you've ever set a money goal that fizzled faster than those New Year's resolutions, you're not alone. I've been there, too.In this episode, I walk you through my three powerful money systems that will take you from overwhelmed and paycheck-dependent to peaceful, confident, and wealthy.You'll hear the personal story that changed everything for me (spoiler: it involves a blue felt-tip pen, a stick figure, and my son Jeremy), and the curveball that forced me to test my financial systems when life threw cancer my way. Whether you're just starting your financial journey or looking to dial things up, I share actionable systems that move you from just hustle to lasting financial security and choice.I dive into the Money Flow System, the Investing System, and the Protection & Legacy System — plus a Financial Freedom Zone Quiz so you know exactly where to start.IN TODAY'S EPISODE, I DISCUSS:Why bold financial goals aren't enough if you don't have systemsThe Money Flow SystemThe Investing SystemThe Protection & Legacy SystemFinancial Freedom Zone Quiz to customize action steps for your journeyReal, relatable stories about the cost of poor systemsSimple, step-by-step actions you can start todayRECOMMENDED EPISODES FOR YOUIf you liked this episode, click here to enjoy these and more:https://melabraham.com/show/The ONLY Money Rule ALL Rich People UseIf You Don't Understand Fiat Currency, You Don't Understand Money7 Popular Finance Tips That Are Quietly Keeping You Broke12 Things I Don't Waste Money On (As a 64 Yr Old Millionaire)When You Get RICH, Tell NO ONE (Act Like You're Poor)RECOMMENDED VIDEOS FOR YOU If you liked this video, you'll love these ones:The ONLY Money Rule ALL Rich People Use: https://youtu.be/njBdSToP6OYIf You Don't Understand Fiat Currency, You Don't Understand Money: https://youtu.be/d55yWZI6sbQ7 Popular Finance Tips That Are Quietly Keeping You Broke: https://youtu.be/ctwclEvqOyg12 Things I Don't Waste Money On (As a 64 Yr Old Millionaire): https://youtu.be/quh1Hdz7Wb8ORDER MY NEW USA TODAY BESTSELLING BOOK:Building Your Money Machine: How to Get Your Money to Work Harder For You Than You Did For It!The key to building the life you desire and deserve is to build your Money Machine—a powerful system designed to generate income that's no longer tied to your work or efforts. This step-by-step guide goes beyond the general idea of personal finance and wealth creation and reveals the holistic approach to transforming your relationship with money to allow you to enjoy financial freedom and peace of mind.Part money philosophy, part money mindset, part strategy, and part tactical action, these powerful frameworks will show you how to build your money machine.When you do you'll also get over $1100 in wealth resources & bonuses for FREE! TAKE THE FINANCIAL FREEDOM QUIZ:Take this free quiz to see where you are on the path to financial freedom and what your next steps are to move you to a new financial destiny at http://www.YourFinancialFreedomQuiz.com

In this episode of The Private Equity Funcast, Jim Milbery sits down with Jennifer Nelson (CEO of Izzy Software), Richard Malone, Rob Swanson (co-founders of CNX Corporation), and Iwona Montgomery to talk about CNX's nearly 30-year glow-up — from green screens to the cloud. After almost three decades in the biz, CNX just joined forces with Izzy Software, and the result? Legacy systems that finally got the spa day they deserved. We dive into how moving to the cloud has made life easier for developers and why low-code tools are giving old-school software a serious second act.

A lot of early-stage founders have understood—mostly because more and more people are talking about their early-stage strategies—that you need to validate your ideas. You need to make an effort to figure out if the thing you're planning to do is actually reasonable to attempt. Validation is important and absolutely worth doing prior to building.That much, many people have understood.But here's where things get interesting. Often enough, validation looks like checking if people have the problem—checking if people have the challenge that your idea solves. And if you find people complaining about it, if you find people mentioning that they struggle with this, to some founders, that's a sufficient reason to build a software-as-a-service solution.Then they bring it to market and realize something frustrating: even if they directly engage people in their market, even if they directly show this and onboard people into the product, they still don't get a sale.People stick with what they're currently doing, even though it is something that, from your perspective as a founder, is much worse, much more expensive, much more complicated, much less scalable.Why is that?This episode of The Bootstraped Founder is sponsored by Paddle.comYou'll find the Black Friday Guide here: https://www.paddle.com/learn/grow-beyond-black-fridayThe blog post: https://thebootstrappedfounder.com/the-missing-piece-in-your-validation-strategy/The podcast episode: https://tbf.fm/episodes/419-the-missing-piece-in-your-validation-strategyCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

In today's world of the Industrial Internet of Things (IIoT) and emerging artificial intelligence (AI) solutions, there's a growing need to share operational technology (OT) data from supervisory control and data acquisition (SCADA) systems and integrate it with the business information typically found in information technology (IT) systems. Much of this data originates from legacy control hardware performing dedicated functions that aren't directly compatible with evolving IT environments supporting AI and other initiatives. What are the key considerations for bridging this data divide to enable new applications in a safe, efficient and economical way? Control Amplified spoke with Barry Baker, vice president of Trihedral Engineering, about the benefits of adopting edge-based solutions for existing applications.

AI Assisted Coding: Beyond AI Code Assistants: How Moldable Development Answers Questions AI Can't With Tudor Girba In this BONUS episode, we explore Moldable Development with Tudor Girba, CEO of feenk.com and creator of the Glamorous Toolkit. We dive into why developers spend over 50% of their time reading code—not because they want to, but because they lack the answers they need. Tudor shares how building contextual tools can transform software development, making systems truly understandable and enabling decisions at the speed of thought. The Hidden System: A Telco's Three-Year Quest "They had a system consisting of five boxes, but they could only enumerate four. If this is your level of awareness about what is reality around you, you have almost no chance of systematically affecting that reality." Tudor opens with a striking case study from a telecommunications company that spent three years and hundreds of person-years trying to optimize a data pipeline. Despite massive effort and executive mandate, the pipeline still took exactly one day to process data—no improvement whatsoever. When Tudor's team investigated, they asked for an architecture diagram. The team drew four boxes representing their system. But when Tudor's team started building tools to mirror this architecture back from the actual code, they discovered something shocking: there was an entire fifth system between the first and second boxes that nobody knew existed. This missing system was likely the bottleneck they'd been trying to optimize for three years. Why Reading Code Doesn't Scale "Developers spend more than 50% of their time reading code. The problem is that our systems are typically larger than anyone can read, and by the time you finish reading, the system has already changed many times." The real issue isn't the time spent reading—it's that reading is the most manual, least scalable way to extract information from systems. When developers read code, they're actually trying to answer questions so they can make decisions. But a 250,000-line system would take one person-month to read at high speed, and the system changes constantly during that time. This means everything you learned yesterday becomes merely a hypothesis, not a reliable answer. The fundamental problem is that we cannot perceive anything in a software system except through tools, yet we've never made how we read code an explicit, optimizable activity. The Context Problem: Why Generic Tools Fail "Software is highly contextual, which means we can predict classes of problems people will have, but we cannot predict specific problems people will have." Tudor draws a powerful parallel with testing. Nobody downloads unit tests from the web and applies them to their system—that would be absurd. Instead, we download test frameworks and build tests contextually for our specific system, encoding what's valuable about our particular business logic. Yet for almost everything else in software development, we download generic tools and expect them to work. This is why teams have tens of thousands of static analysis warnings they ignore, while a single failing test stops deployment. The test encodes contextual value; the generic warning doesn't. Moldable Development extends this principle: every question about your system should be answered by a contextual tool you build for that specific question. Tools That Mirror Your Mental Model "Whatever you draw on the whiteboard—that's your mental model. But as soon as the system exists, we want the system to mirror you back that thing. We make it the job of the system to show our mental model back to us." When someone draws an architecture diagram on a whiteboard, they're not documenting the system—they're documenting their beliefs about the system. The diagram represents wishes when drawn before the system exists, but beliefs when drawn after. Moldable Development flips this: instead of humans reading code and creating approximations, the system itself generates the visualization directly from the actual code. This eliminates the layers of belief and inference. Whether you're looking at high-level architecture, data lineage across multiple technologies, performance bottlenecks, or business domain structure, you build small tools that extract and present exactly the information you need from the system as it actually is. The Test-Driven Development Parallel "Testing was a way to find some kind of class of answers. But there are many other questions we have, and the question is: is there a systematic way to approach arbitrary questions?" Tudor explains that Moldable Development applies test-driven development principles to all forms of system understanding. Just as we write tests after we understand the functionality we need, we build visualization and analysis tools after we understand the questions we need answered. Both approaches share key characteristics: they're built contextually for the specific system, created by developers during development, and composed of many small tools that collectively model the system. The difference is that TDD focuses on functional decomposition and known expectations, while Moldable Development addresses architecture, security, domain structure, performance, and any other perspective where functional tests aren't the most useful decomposition. From Thousands of Features to Thousands of Tools "In my development environment, I don't have features. I have thousands of tools that coexist. Development environments should be focused not on what exists out of the box, but on how quickly you can create a contextual tool." Traditional development environments offer dozens of features—buttons, plugins, generic views. But Moldable Development environments contain thousands of micro-tools, each answering a specific question about a specific system. The key is making these tools composable and fast to create. Rather than building monolithic tools that try to handle every scenario, you build small inspectors that show one perspective on one object or concept. These inspectors chain together naturally as you drill down from high-level questions to detailed investigations. You might have one inspector showing test failures grouped by exception type, another showing PDF document comparisons, another showing cluster performance, and another showing memory usage—all coexisting and available when needed. The Real Bottleneck To Learning A System: Time to the Next Question "Once you do this, you will see that the interesting bottleneck is in the time to the next interesting question. This is by far the most interesting place to be spending energy." When you commoditize access to answers through contextual tools, something remarkable happens: the bottleneck shifts from getting answers to asking better questions. Right now, because answers come so slowly through manual reading and analysis, we rarely exercise the skill of formulating good questions. We make decisions based on gut feelings and incomplete data because we can't afford to dig deeper. But when answers arrive at the speed of thought, you can explore, follow hunches, test hypotheses, and develop genuine insight. The conversation between person and system becomes fluid, enabling decision-making based on actual evidence rather than belief. Moldable Development in Practice: The Lifeware Case "They are investing in software engineering as their competitive advantage. They have 150,000 tests that would take 10 days to run on a single machine, but they run them in 16 minutes distributed across AWS." Tudor shares a powerful case study of Lifeware, a life insurance software company that was featured in Kent Beck's "Test-Driven Development by Example" in 2002 with 4,000 tests. Today they have 150,000 tests and have fully adopted Moldable Development as their core practice. Their business model is remarkable: they take data from insurance companies, throw away the old systems, and reverse-engineer new systems by TDD-ing the business—replaying history to produce pixel-identical documents. They've deployed Glamorous Toolkit as their sole development environment across 100+ developers. Their approach demonstrates that Moldable Development isn't just a research concept but a practical competitive advantage that scales to large teams and complex systems. Why AI Doesn't Solve This Problem "When you ask AI, you will get exactly the same kind of answers. The answer comes quickly, but you will not know whether this is accurate, whether this represents the whole thing, and you definitely do not have an explanation as to why the answer is the way it is." In the age of AI code assistants, it might seem like language models could solve the problem of understanding systems. But Tudor explains why they can't. When you ask an AI about your architecture, you get an opinion—fast but unverifiable. Just like asking a developer to draw the architecture on a whiteboard, you receive filtered information without knowing if it's complete or accurate. Moldable Development, by contrast, extracts answers deterministically from the actual system. Software systems have almost no ambiguity in meaning—they're mathematical, not linguistic. We don't need probabilistic interpretation of source code; we need precise extraction and presentation. The tools you build give you not just answers but explanations of how those answers were derived from the actual system state. Scaling Through Language, Not Features "You need a new kind of development environment where the goal is to create tools much quicker. You need some sort of language in which to express development environments." The technical challenge of Moldable Development is enabling thousands of tools to coexist productively. This requires a fundamentally different approach to development environments. Instead of adding features—buttons and menu items that quickly become overwhelming—you need a language for expressing tools and a system for composing them. Glamorous Toolkit demonstrates this through its inspector architecture, where any object can define custom views that appear contextually. These views compose naturally as you navigate through your investigation, reusing earlier perspectives while adding new ones. The environment becomes a medium for tool creation, not just a collection of pre-built features. Making the Invisible Visible "We cannot perceive anything in a software system except through a tool. If that's so important, then the ability to control that shape is probably kind of important too." Software has no inherent shape—it's just data. Every perception we have of it comes through some tool that renders it into a form we can reason about. This means tools aren't nice-to-have accessories; they're fundamental to our ability to work with software at all. The text editor showing code is a tool. The debugger showing variables is a tool. But these are generic tools built once and reused everywhere, which means they show generic perspectives. What if we could control the shape of our software as easily as we write it? What if the system could show us exactly the view we need for exactly the question we have? That's the promise of Moldable Development. About Tudor Girba Tudor Girba is CEO of feenk.com and creator of Moldable Development. He leads the team behind Glamorous Toolkit, a novel IDE that helps developers make sense of complex systems. His work focuses on transforming how teams understand, navigate, and modernize legacy software through custom, insightful tools. Tudor and Simon Wardley are writing a book about Moldable Development which you can get at: https://moldabledevelopment.com/, and read more about in this Medium article. You can link with Tudor Girba on LinkedIn.

The global IT services market is projected to grow significantly, reaching nearly $3 trillion by 2033, driven by the increasing adoption of cloud services, digital transformation, and a rising demand for automation and cybersecurity solutions. Proactive IT services currently dominate the market, accounting for over half of the share, particularly in heavily regulated sectors like banking, financial services, and healthcare. However, the growth of AI adoption is being hindered by spiraling legacy IT costs, which stall modernization efforts and create opportunities for IT service providers to assist organizations in bridging the gap between outdated systems and modern solutions.Investment in artificial intelligence is also on the rise, with global spending expected to reach nearly $1.5 trillion this year and surpass $2 trillion next year. The focus of this investment is broadening beyond traditional tech giants, with significant contributions from Chinese companies and new AI cloud providers. Despite concerns about job displacement due to AI, a recent survey indicates that most business leaders believe AI will enhance employee support rather than lead to significant job cuts. This highlights the importance of training and change management as organizations adapt to new technologies.Major players in the IT sector, such as Microsoft, Intuit, and OpenAI, are making significant advancements in their AI offerings. Microsoft has launched a centralized AI marketplace, integrating thousands of applications to simplify access for businesses. Intuit has improved its generative AI operating system for financial management, while OpenAI has introduced collaborative features for ChatGPT, enhancing team productivity. These developments underscore the competitive landscape as companies race to control the AI stack and provide valuable tools for enterprises.As organizations face the challenges of legacy IT systems and the need for modernization, IT service providers have a crucial role to play. They must help clients navigate the complexities of integrating new technologies while managing the human side of the transition. The emphasis on proactive services, employee training, and effective change management will be essential for businesses to thrive in an increasingly AI-driven environment. The future of IT services lies not just in technological advancements but in the ability to support clients through their transformation journeys.Three things to know today 00:00 Proactive IT Services Lead $1.5 Trillion Market, Banking and Healthcare Fuel Demand05:57 Legacy IT Costs Surging, Report Finds, Forcing Enterprises Toward Modernization07:45 From Marketplaces to Machine Learning: Tech Giants Position AI as Core Business Infrastructure This is the Business of Tech.    Supported by: https://timezest.com/mspradio/https://mailprotector.com/ Webinar:   https://bit.ly/msprmail All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This week on The Data Stack Show, Eric Dodds and John Wessel explore how AI is reshaping the data industry, focusing on the ongoing cycles of bundling and unbundling within data infrastructure. They discuss the potential for closed ecosystems like Notion to deliver personalized, integrated experiences and examine recent industry moves such as Fivetran's acquisitions. The conversation also highlights the challenges faced by both startups and incumbents, the influence of enterprise customers on product development, and the enduring importance of trade-offs when choosing between bundled and unbundled solutions. Key takeaways include the complexity of implementing AI across platforms, the likelihood that market cycles will persist despite technological advances, and the need for organizations to carefully weigh integration, flexibility, and long-term risk when adopting new data tools.Highlights from this week's conversation include:AI's Value and Early Ecosystem Integration (1:11)Closed Ecosystems and AI Opportunities (3:21)Personalized Software and the Blank Page Problem (6:17)Transition to Data Industry: Bundling Trends (9:56)Market Cycles and AI's Role in Bundling (12:56)Incumbents, Innovation, and AI Layering (15:53Longevity of Legacy Systems and Ecosystem Risks (17:56)Switching Costs and Incumbent Advantages (20:33)People Dynamics and the Startup-to-Incumbent Arc (22:50)Enterprise Data Infrastructure: Engineering Challenges (26:33)Fragmentation, Bundling Value, and AI's Insulation Effect (29:54)Too Many Tools: The Real Meaning Behind Bundling Demand (31:36)Trade-offs in Bundling, Unbundling, and AI (33:40)Final Thoughts and Takeaways (34:34)The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it's needed to power smarter decisions and better customer experiences. Each week, we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

In this episode of Future Finance, host Glenn Hopper and co-host Paul Barnhurst welcome Nicolas Kopp, a visionary leader in the AI-native ERP space. Nicolas shares how AI is transforming finance operations by offering real-time visibility, automation, and a path to zero-day close. He explains how AI integration redefines financial workflows, from data ingestion and processing to output, offering a more streamlined approach compared to traditional systems.Nicolas Kopp is the founder and CEO of Rillet, the AI-native ERP designed to automate accounting and close books faster. Backed by Sequoia, Rillet empowers accountants by integrating AI seamlessly into financial workflows. Previously, Nicolas served as the US CEO of N26, a fintech bank valued at $9 billion, where he played a key role in leading its expansion into the US market. Prior to N26, he spent five years in investment banking at Morgan Stanley. Nicolas holds a BA from the University of St. Gallen in Switzerland and an MSc in Accounting from the London School of Economics.Expect to Learn:The difference between AI-native ERP systems and legacy systemsHow AI is transforming data ingestion and transaction processing in financeThe role of AI agents in automating finance workflows, from cash transfers to accrualsWhy legacy systems struggle to integrate AI and how ReLit does it differentlyThe typical implementation process for AI-native ERPs and how it compares to traditional ERP rolloutsNicolas Kopp provided an insightful look at the future of finance and the potential of AI-native ERP systems. His work with ReLit showcases how AI can transform finance operations, offering real-time visibility and automating complex workflows. From narrowing the scope of AI agents to building smarter systems, Nicolas' insights are invaluable for finance professionals looking to leverage AI for operational success. Follow Nicolas:LinkedIn - https://www.linkedin.com/in/nicolas-kopp/Website - https://www.rillet.com/Join hosts Glenn and Paul as they unravel the complexities of AI in finance:Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul: LinkedIn - https://www.linkedin.com/in/thefpandaguyFollow QFlow.AI:Website - https://bit.ly/4i1EkjgFuture Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today's Episode:[01:10] - What Makes an AI-native ERP?[03:22] - Integrating AI into Legacy Systems[04:51] - Exploring AI Agents in Workflows[07:24] - How Close Are We to Autonomous AI Agents?[11:31] - The Challenge of Quick ERP Implementations[15:45] - Celebrating Success and Sequoia Backing

This week on The Data Stack Show, John and Matt bring you another edition of the Cynical Data Guy. John and Matt dive into the evolution of customer data infrastructure, the growing influence of low-code tools like Clay, and the blurred lines around the “engineer” title in modern data roles. They also discuss the trade-offs between SaaS adoption and building custom solutions, the pitfalls of enterprise software buying, and the realities of platform lock-in—using Palantir's unique business model as a case study. Key takeaways include the importance of simplicity and scalability in data engineering, the need for clear requirements when evaluating tools, and a healthy skepticism toward sales pitches and “art of the possible” features. Don't miss this month's Cynical Data Guy. Highlights from this week's conversation include:Reacting to the Rise of the GTM Engineer (1:11)Is "Engineer" the Right Term? (4:49)Low-Code Tools, AI, and Future Workflows (7:14)Simplicity in Data Engineering (14:38)The Pitfalls of "Simple" Solutions (15:18)Choosing SaaS vs. Building In-House (18:26)Business Process Abstraction and SaaS Adoption (21:31)Enterprise Software: Art of the Possible vs. Practicality (24:31)Sales Advice: Focus on Customer Needs (27:11)Forward Deployed Engineers and Delivery Models (29:05)Platform Lock-In: When Is It a Dirty Word? (36:41)Legacy Systems and the Reality of Lock-In (39:53)Final Thoughts and Takeaways (40:55)The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it's needed to power smarter decisions and better customer experiences. Each week, we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Banking executives face a familiar dilemma: decades-old core systems technically constrain innovation while replacement costs can reach hundreds of millions of dollars and take years to implement. Meanwhile, fintechs launch new products in weeks while traditional banks remain trapped in months-long approval cycles. The challenge extends beyond technology. "Most banks duct-tape capabilities onto what they already have, and eventually they break," explains Ritesh Rihani, Vice President of Enterprise Banking at Galileo. "You've seen the number of outages we've had in the industry recently. That's all happening because they put duct tape upon duct tape." The pressure to modernize comes from multiple directions. Customer expectations have evolved toward integrated experiences and ease of use and operational risks multiply as the pool of COBOL programmers shrinks through retirement. Regulatory compliance becomes increasingly difficult with manual processes and fragmented systems. This podcast explores five critical dimensions of core modernization: balancing costs with competitive necessity, understanding operational and regulatory risks, implementing incremental transformation strategies, enabling product innovation, and unlocking the future potential of modern banking architecture.

#212: From COBOL to Salesforce: Washington State Liquor Board's 9-Year, Multi-Million Modernization + Army Leadership LessonsBrought to you by:SentinelOne—Learn how SentinelOne empowers this state to stay secure.Verizon Frontline—The advanced network that keeps first responders connected when it matters most.Carahsoft—The Trusted Public Sector IT Solutions Provider™, supports government agencies and education/healthcare markets. Contact your Carahsoft rep today to access special discount pricing exclusively through the TechTables + Carahsoft partnership!Featuring:George Williams, CIO, Washington State Liquor and Cannabis BoardWhat You'll Learn:How a 42-year-old COBOL system from 1983 finally got retired — and why a 70-year-old contractor stayed on just to see it dieWhy George paused the entire project for a year and restructured the whole team — and how that bold move led to a successful go-live after two failed attempts spanning nine yearsThe critical moment George stopped outsourcing ownership to contractors and put actual agency employees in chargeHow battlefield leadership lessons from Iraq and Afghanistan shaped George's approach to managing massive licensing operationWhy “success” nearly broke the system — and how the agency handled 30,000+ phone calls in just three months post-launchHow George built a cross-division data governance team to prevent inaccurate AI answers — and what every CIO should learn from itWhy Salesforce developers are solid gold — and how George is fighting to keep them in the public sector with training budgets and team loyaltyThe one job George believes every CIO must do: take the heat round so their team can thriveTimestamps(00:35) From Army Combat Vet to Cannabis & Liquor Board CIO(03:00) Basketball to Military: “Too Slow for Forward, Too Short for Center”(06:00) Iraq 2004: Getting Blown Up and Building Resilient Teams(12:00) 9-Year Project Nightmare: Firing Teams and Rebuilding from Scratch(16:00) 42-Year-Old COBOL System: The 1983 Legacy That Wouldn't Die(23:00) 7 Legacy Systems to Salesforce: The Technical Transformation(26:30) 20,000 Liquor + 1,900 Cannabis Licenses: Managing Complex Customer Operations(33:00) CIO as Translator: Making Tech Make Sense to Non-Tech Leaders(38:00) 30,000 Phone Calls Post-Launch: When Success Creates New Problems(44:00) Leadership Lessons: Taking the Heat and Supporting Your TeamConnect

To say mergers and acquisitions present significant risk is an understatement; however, additional vulnerabilities are being exposed as bad actors threaten to exploit privacy and data security leaks during the transition.  Chapters 00:00 Navigating Cybersecurity Risks in Mergers and Acquisitions 02:52 Understanding Data Privacy and Security Concerns 05:37 Assessing Data Retention and Legacy Systems 08:53 Identifying Dormant Liabilities and Hidden Risks 11:40 Integrating Acquired Companies and Vendor Risks 14:40 Website Compliance and Data Privacy Practices

In this episode, I was lucky enough to interview Terence Bennett, CEO of DreamFactory.Terence shares his unconventional journey from a military intelligence officer to leading a developer-focused API company.  He explains how his entrepreneurial parents influenced his mindset and how his military background taught him to solve problems creatively. He also shares how dealing with dyslexia and joining a support group at Google helped him discover his strength in thinking outside the box. Terence discusses his career pivot from cybersecurity to startup life, eventually landing at DreamFactory through his work with the parent company Xenon.  He explains how DreamFactory's way of handling APIs, by focusing on data models first, is different and works well, especially for older systems in places like the public sector. He also shares how working with the long-established company Saint-Gobain showed him how much people believe in DreamFactory. Buckle up for a ride to the Golden State, where Terence shares how strong leadership, trust, and community fuel both personal growth and business success in this episode of The First Customer!Guest Info:DreamFactory Softwarehttp://www.dreamfactory.comTerence Bennett's LinkedInhttps://www.linkedin.com/in/terencehbennett/Connect with Jay on LinkedInhttps://www.linkedin.com/in/jayaigner/The First Customer Youtube Channelhttps://www.youtube.com/@thefirstcustomerpodcastThe First Customer podcast websitehttps://www.firstcustomerpodcast.comFollow The First Customer on LinkedInhttp://www.linkedin.com/company/the-first-customer-podcast/