Hybrid Minds: Unlocking the Power of AI + IQ

AI at Scale: Engineering Intelligence Into Global Finance

In this episode of Hybrid Minds, host Vahe welcomes Chris D’Agostino, Chief Data and AI Officer at FIS, for a wide-ranging conversation on the application of AI in enterprise environments. Chris draws on leadership experience from Databricks, Capital One, and FIS to unpack how large-scale financial platforms are evolving with LLMs, agent frameworks, and real-time decision engines. Chris explains how his teams are deploying AI to refactor legacy systems, automate back-office operations, and develop agentic capabilities across global financial infrastructure. All while navigating compliance and risk. The conversation also explores deeper themes: the future of software as adaptive systems, the ethical limits of AI empathy, and how digital workers may reshape the future of labor itself. This episode is essential listening for enterprise architects, engineering leaders, and AI strategists building intelligent systems at scale. Key Quotes:  “It's more than just a clone, right? It's not just a clone of what its skillset is and what tool it has access to. It's a different worker altogether based on where the agentic workflows are failing or not being done as efficiently as possible. They're trying to scale up that way and say, ‘well, if we have a different worker that has, sort of, along the lines of the mixture of experts, right? Instead of it being really good at eight things, it's really, really good at one thing, and that's gonna increase the throughput for the overall workflow. So, it'll be fascinating to see where it goes.” * Chris D’Agostino, on AI specialization and digital worker design Time Stamps: * (02:48) Challenges and Benefits of AI in Large Projects * (09:51) The Future of AI in Software Development * (31:10) Bringing Specialization in AI Models * (35:35) Human Connection and Technology * (46:22) The Future of AI and Human Creativity Links: Connect with D’Agostino [https://www.linkedin.com/in/chrisdagostino1/] Visit FIS [https://www.fisglobal.com/] Connect with Vahe [https://www.linkedin.com/in/vaheandonians/?originalSubdomain=de] Visit Cognaize [https://www.cognaize.com/] Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com [https://pcm.adswizz.com] for information about our collection and use of personal data for advertising.

AI's impact on Consumer Finance

In this episode of Hybrid Minds, host Vahe Andonians is joined by Phill Rosen, Global CTO at MoneyLion, to explore the state of AI integration in financial technology. Phill offers a grounded and technical perspective on what it really takes to build, ship, and maintain AI-powered features in production, focused especially in highly regulated spaces like consumer finance. They discuss what it means for a company to be "AI-ready," and why most businesses will still depend on human engineers for the foreseeable future. Phil also shares how MoneyLion leverages modular AI systems, API integrations, and real-time data infrastructures to deliver smarter financial products and personalized content at scale. This episode is a must-listen for engineers, product leaders, and technical decision-makers looking to understand what AI adoption really looks like behind the scenes. Key Quote:  “ If you tell me that 90% of code written will be AI-assisted in some way. That's obviously possible. That's obviously something that's very easily achievable. We can have 100% of our engineers writing in Copilot. They can have some level of AI assistance involved there, and that might make them more efficient. But to take the ENG engineer out of the equation is not something most organizations can do yet.” * Phill Rosen Time Stamps: * (02:15) Hype vs. Reality: What AI Can Actually Do Today * (07:45) AI as a Junior Engineer: Gains and Tradeoffs * (13:00) Building Hybrid Models for Speed, Performance, and Compliance * (15:40) Infrastructure Over Models: The Real Work in AI Deployment * (20:10) Vibe Coding and the Evolution of Developer Workflows * (30:10) Reimagining Data Infrastructure for AI-Driven Products * (38:00) Regulatory Considerations in AI Applications Links: Connect with Phil Rosen [https://www.linkedin.com/in/phrosen/] Visit MoneyLion [https://www.moneylion.com/] Connect with Vahe [https://www.linkedin.com/in/vaheandonians/?originalSubdomain=de] Visit Cognaize [https://www.cognaize.com/] Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com [https://pcm.adswizz.com] for information about our collection and use of personal data for advertising.

The Future Is Spatial: RJ Pittman on AI, Digital Twins, and the Reinvention of Real Estate

In this episode of Hybrid Minds, host Vahe welcomes RJ Pittman, Chairman and CEO of Matterport, to discuss the convergence of artificial intelligence, spatial computing, and digital infrastructure. RJ shares his vision for a future where buildings are data, real estate is programmable, and AI transforms how we manage the physical world. RJ brings two decades of experience leading at tech giants like Apple, eBay, and Google, and most recently scaled Matterport into a global platform digitizing over 55 billion square feet of physical space. Following Matterport’s acquisition by CoStar, RJ now focuses on expanding data-driven property intelligence at a massive scale. This episode is a must-listen for tech leaders, real estate professionals, and innovators exploring the cutting edge of AI, spatial computing, and enterprise transformation. Key Quotes:  “ This period that we are in of technology, AI, the advancement of data sciences, unlike anything we've ever seen in humanity, not just in the tech industry, not just in any industry, set aside industry as a whole. I think the way that the human race is about to evolve is absolutely extraordinary.” * RJ Pittman, on the next evolution of humanity with AI  “ What people often think about super intelligent, how do you actually define what that is? And sometimes, the conventional wisdom is it's just an outsized amount of knowledge. But in other cases, it may just be that it has photographic memory on the one hand, but it also can be perfectly memory erased on the other, and, you know, changed and swapped in, and swapped out as well. With no consequence, right? And these types of fundamental aspects of what we have here, I find it to be so compelling and powerful. And then, of course, you're gonna have systems built to manage that as well, right? Is my engine getting smarter or not smarter? Is it plateauing? Do I need more data? Do I need to change, you know, the data? And managing and testing, and evaluating that on a regular basis. So it's sort of an AI-powered, you know, intelligence and health monitor, you know, for the system you've built. “ * RJ Pittman, on what defines true super intelligence Time Stamps: * (02:36) Balancing AI Innovation and Safety * (09:42) Challenges of Scaling AI Infrastructure * (14:03) Small Language Models and Their Potential * (23:48) Improving Conversational AI as it Evolves * (37:12) Revolutionizing Property Inspections at Matterport * (44:42) The Power of Diverse Property Data * (50:16) Navigating the Challenges of Hardware and Software Integration Links: Connect with RJ Pittman [https://www.linkedin.com/in/rjpittman/] Visit Matterport [https://matterport.com/] Connect with Vahe [https://www.linkedin.com/in/vaheandonians/?originalSubdomain=de] Visit Cognaize [https://www.cognaize.com/] Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com [https://pcm.adswizz.com] for information about our collection and use of personal data for advertising.

From Six Patients to Two Billion: AI's Global Mission with Dr. Shez Partovi

In this episode of Hybrid Minds, Dr. Shez Partovi, Chief Innovation & Strategy Officer at Philips, takes us on a visionary journey. From a pivotal moment during his time as a practicing neuroradiologist to leading Philips’ global healthcare strategy, Shez shares the story of how one lecture by a nun shifted his perspective—from focusing on six patients a day to aiming to impact billions. His background in both medicine and computer science uniquely positions him to bridge the gap between clinical care and cutting-edge AI, and his mission is clear: scale access to care and give time back to clinicians. Through real-world examples, Shez explains how AI is not just a buzzword but a tool with transformative potential in healthcare. From managing the overwhelming growth in imaging data, to enabling faster, higher-resolution scans with software upgrades to predicting heart arrhythmias days in advance, Philips is pushing the frontier of what’s possible. One standout story involves a wearable patch that can foresee cardiac events before they happen, giving physicians a chance to intervene early and improve outcomes. He also introduces an inspiring project that uses handheld ultrasound and AI to bring maternal care to underserved regions—no sonographer required, just six guided sweeps and an algorithm that does the rest. Shez emphasizes the critical importance of ethical innovation, unbiased data, and co-creating solutions with clinical partners. He shares his belief that AI’s future in medicine lies in automation, augmentation, and agility—but only if implemented with care to avoid adverse events. Whether you’re an AI researcher, healthcare professional, or just someone curious about how data can become a tool for good, this episode will leave you inspired by the intersection of compassion, technology, and scale. Key Quote:  “ The power of AI in creating prediction models is one of the great unlocks in medicine, where quality and cost come together because you can improve quality and reduce costs.” We give the meaning of the data to the clinician data to the clinician.” Time Stamps: * (00:41) A Pivotal Moment: From Clinical Practice to AI * 03:05 Innovations at Philips: Improving Global Healthcare * 06:54 The Data Deluge: Managing Information Overload in Medicine * 10:27 AI in Healthcare: Challenges and Opportunities * 28:36 Future of AI in Medicine: Predictions and Goals Links: Connect with Dr. Partovi [https://www.linkedin.com/in/spartovi/] Learn more about Philips  [https://www.philips.com/a-w/about.html] Connect with Vahe [https://www.linkedin.com/in/vaheandonians/?originalSubdomain=de] Visit Cognaize [https://www.cognaize.com/] Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com [https://pcm.adswizz.com] for information about our collection and use of personal data for advertising.

Transforming Legal Practice with AI with Dr.Leif-Nissen Lundbæk

In this episode of Hybrid Minds,Vahe Andonians is joined by Dr. Leif Nissen-Lundbeck, CEO and co-founder of Xayn, a pioneering GenAI company behind Noxtua, Europe’s first sovereign legal AI.  Dr. Lundbeck shares insights into the complexities of developing a legal language model tailored specifically for law firms, legal departments, and government entities across Europe. He discusses the critical need for privacy and professional secrecy in the legal sector, highlighting how Exsign addresses secure data management to mitigate criminal risks. Gain an understanding of the unique challenges and strategies involved in data collection and model training for specialized legal applications. Dr. Lundbeck contrasts general-purpose models like GPT with Noxtua, explaining how vertical AI models can provide superior performance in specific domains. With also a  look at the synergy between AI and human expertise in legal work and what the future holds for AI-driven advancements in legal practice. -- Key Quotes: * “The reasoning side is of course the most important, and we know the bigger you are, the better you actually deliver reasoning. If you are trained on this legal reasoning side in the first place.” * “It's always about humans against machines, right? What did the human, what did the machine,right? Instead of comparing it again, okay, we should, we need a third group of humans plus machines, which can be faster and accurate.” * Generally, privacy seems to be like a soft term, right? But in the legal industry, it has to be given, right? And this is not only in laws that everybody knows, like GDPR or so. But this actually has a much, much higher value because we have. For example, in Germany, professional secrecy. So professional secrecy is, regulated, under criminal law. And, we have that in Austria, Switzerland, Italy, and  France. And, that actually means that,  if you essentially share legal data involving multiple parties,  and you share this or, publish this somewhere where it should not be that this actually is a criminal act.” -- Time Stamps: (00:00) Developing Legal AI for Privacy Compliance (12:10) Advancements in Legal AI Development (26:10) Optimizing Legal AI for Multilingual Tasks (31:47) Legal AI Trends in Multilingual Translation (46:35) AI Value Delivery in Industry Awakening -- Links: Connect with Dr. Leif [https://www.linkedin.com/in/leif-nissen-lundb%C3%A6k-phd-a00a32141/?originalSubdomain=de] Learn more about Xayn [https://xayn.com/] Connect with Vahe [https://www.linkedin.com/in/vaheandonians/?originalSubdomain=de] Visit Cognaize [https://www.cognaize.com/] Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com [https://pcm.adswizz.com] for information about our collection and use of personal data for advertising.