Data Driven

Welcome to the season nine premiere of Data Driven, where we kick things off with a thought-provoking deep dive into the world of AI-powered leadership. In this episode, hosts Frank La Vigne, Andy Leonard, and BAILeY are joined by Geoff Woods, bestselling author of "The AI Driven Leader." Together, they explore how artificial intelligence is quickly evolving from a tactical tool that writes emails and automates tasks to a transformative thought partner that can help leaders navigate high-stakes business decisions, develop innovative strategies, and even challenge their own thinking.Geoff challenges the notion that AI is just another tech buzzword and shares real-world stories of executives using AI as a strategic confidant—literally building virtual AI boards featuring iconic figures like Steve Jobs and Warren Buffett. He breaks down his practical CRIT framework (Context, Role, Interview, Task), offering listeners actionable ways to move beyond surface-level AI use and harness its power for exponential personal and business growth.Whether you're a seasoned data scientist, a curious executive, or just someone looking to level up your leadership skills, this conversation will inspire you to reconsider how you work with AI—and how much more you can achieve when you use it as your smartest collaborator yet. Get ready to have your assumptions challenged, your creativity sparked, and your sticky notes filled with new ideas. Let's get data driven!Timestamps00:00 "AI: Your Strategic Cofounder"05:26 Strategic Leadership with AI07:35 "Focusing on 20% High-Impact Tasks"11:07 AI Strategies for Debt Restructuring13:28 AI in Negotiations: Role Play Insights19:01 Mentor in Your Pocket21:52 "Imaginary Advisory Board"25:17 "Starting AI: First Domino Approach"28:33 Coaching Corporate Growth Strategy31:51 Interactive Knowledge Experience35:06 "Becoming an AI-Driven Leader"38:54 "Visionary Super Connector"43:06 Leadership Beyond Technology47:11 Rethinking AI and Strategic Questions49:26 "AI-Powered Strategic Visioning"53:29 "Choosing Growth Over Perfection"56:24 AI Achievements: Overcoming Imposter Syndrome

Andy and I are kicking off Season Nine of Data Driven with a bang: an insightful interview with Jeff Woods, author of “The AI Driven Leader.”Andy, Bailey, and I are thrilled to bring you brand-new conversations, deep dives, and data stories all season long. Stay tuned for the official release, and as always, thank you for being part of our data-driven journey.Listen for the Season Nine kickoff soon!

This week, Frank sat down with Dr. Jacob Leverich—Stanford PhD, cofounder of Observe, and a veteran of the Google MapReduce team and Splunk. Jacob's journey, from tinkering with video game code as a kid, to innovating at the cutting edge of distributed systems and energy efficiency, is as inspiring as it is informative.Key TakeawaysEarly Tech Roots: Hear how curiosity with QBasic and classic PCs (think IBM PCXT and Commodore) put Jacob on a path to high-impact data engineering.MapReduce, Dremel, & the Rise of Big Data: Jacob pulls back the curtain on working with some of the most influential data processing tools at Google and how these systems shifted the entire data landscape (hello, BigQuery!).Building Efficient Systems: It's not just about scale—energy efficiency and performance optimization are the unsung heroes of today's data infrastructure. Jacob explains why making things “just work” isn't enough anymore.The Realities of Ops & Observability: Remember the days of grepping logs at 2AM? There's a better way. Jacob shares how platforms like Observe help teams consolidate, visualize, and act on operational data—turning chaos into actionable insight.Bridging Data & Ops: The lines between data observability and traditional ops are blurring, and Jacob's unique experience shows how best practices from data warehousing are finally making ops smoother (and less sleepless).Power Concerns & the Future: As data grows, so does energy consumption in data centers. Find out why optimization isn't just good for performance—it's key to sustainability.Timestamps00:00 Interview with Jacob Levrich05:59 Journey into Game Programming06:43 "Pursuing Fast Video Game Code"10:23 Data Processing and Power Efficiency16:11 Snowflake's Transformative Database Approach19:18 Journey to Data Management Industry21:37 Data Products: Solving Core Challenges27:07 Early Web Log Analysis Techniques28:57 Consolidating Data for Efficiency33:23 Specialized Tools and Context Switching35:43 Unique Dual-Expertise in Tech38:58 User-Centric Business Strategies42:13 IP Data Analysis in Cloud47:23 Electricity Transport Upsets Local Farms48:25 Shift to Parallel Computing52:10 Hardware Specialization & Software Optimization57:32 "Stay Data Driven"

Welcome to another insightful episode of Data Driven! Today, we're diving into the world of warehouse-native analytics with our special guest, István Mészáros, cofounder of Mitsu. Join us as we explore how Mitsu empowers startups and enterprises with a new approach to data analytics. From his beginnings as a CERN physicist to becoming an open-source evangelist and finally a startup founder, István shares his unique journey through the data industry.We'll discuss the motivation behind Mitsu's distinct branding, reminiscent of Hello Kitty, and why standing out in today's crowded market is crucial. István also reveals the challenges and strategies of building a data company in Europe, and how Mitsu simplifies analytics by offering a self-service solution without the high costs associated with existing market leaders.Timestamps0:00 Introducing István Mészáros05:30 Shifting Open Source to SaaS07:46 Lava-Themed Compliance Solutions Brand10:27 Tech Branding and Hello Kitty Insights13:46 Optimizing Conversion in Data-Heavy Travel16:31 Self-Service Analytics Tool Needed19:17 Automated Product Analytics Tool23:20 "Budget Constraints and DIY Solutions"28:17 Freelancer's Efficient Data Solutions29:08 Open Source Tool Productization Plan33:13 Navigating Freelance and Startup Challenges37:19 Transitioning to Data Engineering42:25 Instant Feedback in Hobbies43:46 Embracing Feedback in Business Transformation49:13 "Hoping AI Takes Over Hiring"51:58 Visit Site for Info & Contact55:22 "Parenting Boys with Earbuds"57:25 "Data Driven: Quantum Podcast Relaunch"

On this episode of Data Driven, we welcome Barr Moses, CEO and co-founder of Monte Carlo, as she delves into the fascinating world of data observability. Join hosts Frank La Vigne and Andy Leonard as they explore how reliable data is crucial for making sound business decisions in today's tech-driven world. Learn why a simple schema change at Unity resulted in a $100 million loss and how Monte Carlo is developing cutting-edge solutions to prevent similar disasters. From discussions on ensuring data integrity to the intriguing potential of AI in anomaly detection, Barr Moses shares insights that might just redefine your understanding of data's role in business. Tune in for a podcast that not only uncovers the nuances of data reliability but also touches on the quirky side of tech, like why, according to Google, you should never use superglue to fix slipping cheese on your pizza.Moments00:00 Monte Carlo: Data Reliability Innovator05:45 "Data & AI Observability Engineering"09:42 Data Industry's Growing Importance12:00 Cereal Supply Chain Data Optimization16:03 Data Observability and Lineage19:29 GenAI Uncertainties and Latency Concerns23:17 "Human Oversight in AI Accuracy"24:12 Data Observability and Human Role28:01 Adapting to Customer Language33:29 Data and Security Management Alignment35:20 Data Reliability and Observability Challenges38:17 Automated Code Analysis Tool Launch42:29 Data-Inspired Childhood44:12 Passionate About Impactful Work48:52 LinkedIn Security Concerns Highlighted53:19 "Data Observability Insights"

In this episode, Sanjay joins Frank for a deep dive into the heart of digital transformation and AI-powered automation. Here are some of the key takeaways:Digital Transformation Evolution: Sanjay reflects on his nearly three-decade journey witnessing the digital shift from infancy to the AI-driven present. He outlines the critical components of digital transformation, including cloud adoption and data prioritization, noting significant changes in business focus over recent years.Microsoft's Role: Sanjay provides insights into Microsoft's strategic investments in digital transformation technologies, emphasizing their pivotal role in influencing market trends and industry-specific capabilities.AI-Powered Enhancements: From the widespread adoption of Copilot to the burgeoning concept of agentic AI, Sanjay discusses how AI tools are not replacing but augmenting the productivity of data engineers, offering a glimpse into the future of business processes.Edge of Innovation: We explore how Microsoft Fabric and other technologies are simplifying complex architectures, allowing businesses to leverage multi-cloud strategies effectively, keeping them at the forefront of innovation.Real-Life Impact: Sanjay shares compelling examples, like reducing sales briefing preparation time from four days to two minutes, showcasing the transformative power of AI in real business scenarios.Whether you're a data engineer, business leader, or just someone fascinated by the data-driven world, this episode is packed with valuable insights.Moments00:00 Three Decades of Digital Transformation05:27 Microsoft's Digital Transformation Dominance09:37 Microsoft's Cloud Integration Advantage13:22 Red Hat AI's Open Source Approach15:33 Microsoft Fabric's Multi-Cloud Integration Strategy20:01 "Custom Solutions for Complex Queries"21:39 Content Creation Efficiency Unlocked26:38 Sales Role Dependency Reduction Tool30:06 Agentic AI and Workflow Transformation33:29 "Beyond Basic Automation"35:05 AI's Impact on Business Expansion39:58 Data-Driven Problem Solving Impact41:58 Reading Trends in Data Innovation

In this episode, Andy Leonard and Frank La Vigne are thrilled to be joined by Trevor Schulze, the Chief Information Officer at Alteryx. Trevor brings an unparalleled perspective on digital transformation, drawing from his impressive tenure at industry giants such as Micron, Cisco, and RingCentral.Time stamps00:00 "Data Driven: AI & CIO Insights"04:32 CIO's Role in AI Evolution06:50 CIO's Evolving Role with AI11:43 "Embracing Data Democratization"16:24 Democratizing Data Access19:33 "AI Investment and Optimization Cycle"20:55 AI Enhances Tool Configuration Guidance24:42 Breaking Free from Vendor Lock-In27:41 "Unleashing Shadow AI and Technical Debt"31:53 Digital Performance Essential for All Industries34:01 Data Privacy Concerns in AI Use37:30 AI Democratization Challenges for Enterprises42:15 AI Transforming Business Processes43:55 Data-Driven Career Journey47:13 "Building Trust in Data Analytics"52:34 Building Trust in Future Tech

Andy Leonard and Frank La Vigne delve into the exciting world of AI and growth marketing with the renowned Lillian Pierson. Lillian, a globally recognized AI growth strategist and author. She shares her unique journey from engineering to data science and her role as a fractional CMO. She provides deep insights into leveraging AI to revolutionize marketing and growth strategies, discusses breaking down the barriers in early data science, and explores the rise of agentic AI. This conversation is filled with valuable knowledge, humor, and a reality check on the evolving tech landscape. Tune in to explore how AI and data-driven approaches are transforming industries and why Data Driven is a top pick for AI enthusiasts.Moments00:00 "Interview with AI Expert Lillian Pearson"04:18 Earning a Professional Engineering License09:21 Evolution of Data Science Disciplines11:08 Career Pivot to Success14:01 Data Strategy and AI Insights19:19 Marketing's Role in Product Growth21:58 Customer Advocacy in Product Development26:16 Exploring AI for Content Automation28:28 OpenAI Trained on My Style30:51 Frank's Podcast Automation Expansion33:22 "Delegation vs. Self-Management Discussion"37:45 Decoupled, Resilient System Communication41:57 Clay-Powered Decision Tech Critique45:41 AI Is Essential in Business49:09 Debating with ChatGPT's Perspectives50:23 Google AI: Generative Podcast Tool56:11 Big Data Fallacies Explored

Today, we've got an exciting episode lined up for you. Hosts Frank La Vigne and Bailey dive deep into the tech universe with Dean Guida, the CEO and founder of Infragistics. Dean brings his 35-year journey and expansive experience in technology to the table, reminiscing about the early days of software development and his transition into the data-driven world.In this conversation, you'll hear about the evolution of Infragistics from building UI components for Windows to creating sophisticated data analytics and AI tools. Dean also shares insights from his new book, "When Grit is Not Enough," focusing on how entrepreneurs can foster agile, data-driven learning organizations. Whether you're a seasoned developer, a budding entrepreneur, or someone fascinated by the intersection of AI and data, this episode promises a wealth of knowledge and inspiration.Join us as we explore technology old and new, from the bygone era of Windows 3.0 to the cutting-edge capabilities of AI today. Plus, hear Dean's personal journey of navigating through various technological and economic shifts over the decades. Make sure to tune in for a discussion that bridges the past, present, and future of tech innovation!Show Notes00:00 35 Years of UI/UX Innovation06:35 "Simplicity, Beauty, and Conversational AI"15:29 Enhancing User Trust Through Transparency19:52 AI-Driven Learning and OKR Management26:20 Kids Reflecting Tech Evolution27:12 "AI in Future Work Environments"33:14 "Data-Driven Leadership and Team Alignment"38:44 Entrepreneurship Beyond Grinding48:19 Contextual Understanding in AI Assistants51:57 Overprotected Generation's Communication Challenges54:55 Generational Impact of Pandemics01:00:47 "Data-Driven Podcast: Ranked 38"

Today, we delve into the intriguing world of vector databases, retrieval augmented generation, and a surprising twist—origami.Our special guest, Arjun Patel, a developer advocate at Pinecone, will be walking us through his mission to make vector databases and semantic search more accessible. Alongside his impressive technical expertise, Arjun is also a self-taught origami artist with a background in statistics from the University of Chicago. Together with co-host Frank La Vigne, we explore Arjun's unique journey from making speech coaching accessible with AI at Speeko to detecting AI-generated content at Appen.In this episode, get ready to unravel the mysteries of natural language processing, understand the impact of the attention mechanism in transformers, and discover how AI can even assist in the art of paper folding. From discussing the nuances of RAG systems to sharing personal insights on learning and technology, we promise a session that's both enlightening and entertaining. So sit back, relax, and get ready to fold your way into the fascinating layers of AI with Arjun Patel on Data Driven.Show Notes00:00 Arjun Patel: Bridging AI & Education04:39 Traditional NLP and Geometric Models08:40 Co-occurrence and Meaning in Text13:14 Masked Language Modeling Success16:50 Understanding Tokenization in AI Models18:12 "Understanding Large Language Models"22:43 Instruction-Following vs Few-Shot Learning26:43 "Rel AI: Open Source Data Tool"31:14 "Retrieval-Augmented Generation Explained"33:58 "Pinecone: Efficient Vector Database"37:31 "AI Found Me: Intern to Innovator"41:10 "Impact of Code Generation Models"45:25 Personalized Learning Path Technology46:57 Mathematical Complexity in Origami Design50:32 "Data, AI, and Origami Insights"

In today's episode, we're thrilled to have Niv Braun, co-founder and CEO of Noma Security, join us as we tackle some pressing issues in AI security.With the rapid adoption of generative AI technologies, the landscape of data security is evolving at breakneck speed. We'll explore the increasing need to secure systems that handle sensitive AI data and pipelines, the rise of AI security careers, and the looming threats of adversarial attacks, model "hallucinations," and more. Niv will share his insights on how companies like Noma Security are working tirelessly to mitigate these risks without hindering innovation.We'll also dive into real-world incidents, such as compromised open-source models and the infamous PyTorch breach, to illustrate the critical need for improved security measures. From the importance of continuous monitoring to the development of safer formats and the adoption of a zero trust approach, this episode is packed with valuable advice for organizations navigating the complex world of AI security.So, whether you're a data scientist, AI engineer, or simply an enthusiast eager to learn more about the intersection of AI and security, this episode promises to offer a wealth of information and practical tips to help you stay ahead in this rapidly changing field. Tune in and join the conversation as we uncover the state of AI security and what it means for the future of technology.Quotable Moments00:00 Security spotlight shifts to data and AI.03:36 Protect against misconfigurations, adversarial attacks, new risks.09:17 Compromised model with undetectable data leaks.12:07 Manual parsing needed for valid, malicious code detection.15:44 Concerns over Agiface models may affect jobs.20:00 Combines self-developed and third-party AI models.20:55 Ensure models don't use sensitive or unauthorized data.25:55 Zero Trust: mindset, philosophy, implementation, security framework.30:51 LLM attacks will have significantly higher impact.34:23 Need better security awareness, exposed secrets risk.35:50 Be organized with visibility and governance.39:51 Red teaming for AI security and safety.44:33 Gen AI primarily used by consumers, not businesses.47:57 Providing model guardrails and runtime protection services.50:53 Ensure flexible, configurable architecture for varied needs.52:35 AI, security, innovation discussed by Niamh Braun.

In this livestream, Frank and Andy discuss the timeless nature of backend enterprise tech, that, much like a Christmas special from decades ago, is still very much celebrated.Moments00:00 Exploring SSIS future in a festive episode.08:28 Data engineering evolved from business intelligence systems.10:57 Social networks project before Facebook's popularity.19:19 SSIS training informed data engineering concepts teaching.24:56 Bill Gates moved project to immature Microsoft tooling.29:10 Data engineering possible in 2024 using T-SQL.35:23 Huge cloud companies surpass previous brick-and-mortar giants.40:10 Old technologies endure; misconceptions about their age.46:03 Evaluate change benefits: technical ease, business growth.52:30 Cloud departure interests rise, SSIS assistance sought.55:47 Big government agency utilizing diverse cloud platforms.01:00:59 Security is crucial; clients' preferences vary.01:08:56 Certification issues hinder software updates and compliance.01:10:02 People stick with older systems for reasons.01:15:15 Proper GPU driver drastically improved loading time.01:22:16 Repost increased engagement and communication with author.01:25:45 Data scientists should learn SQL for simplicity.01:31:06 Obsolete systems cause issues without quotes.

Welcome to another episode of "Data Driven," where we dive into the ever-evolving world of data science, AI, and data engineering. Today's special guest is Inna Tokarev Sela, CEO and founder of Illumix. Join hosts Frank La Vigne, BAILeY, and Andy Leonard as they unpack Inna's groundbreaking insights into generative AI, the future of data management, and the intricacies of AI cost effectiveness.Inna reveals the origin of her company's name, "Illumix," and discusses the pressing risks of 2025, particularly the total cost of ownership for managing generative AI. She highlights the inefficiencies of data customization and proposes a shift towards moving AI closer to the data to reduce costs. Through the unique lens of Illumix's approach, Inna explains how they aim to illuminate organizational data by using a virtual semantic knowledge graph based on industry ontologies and business logic.Timestamps00:00 Ina Tokarav Sala: CEO of Illumix, AI readiness pioneer.05:57 ROI and data are crucial for decisions.08:56 Intermediate stage: copilots, insights, static dashboards persist.11:12 Illumax targets structured data market, unlike others.14:29 Bad data skews predictive analytics, causing errors.19:48 Data modeling efficiency increases with virtual assistants.22:33 E-commerce evolution: convenient online shopping preferred.25:27 2025's biggest risk: High generative AI costs.27:07 Focus on domain knowledge and metadata utilization.31:44 Predicting patterns is profound, not crazy.36:09 Industry trends are cyclical, like fashion trends.37:49 Repatriating data due to AI cost efficiency.40:47 Data processing everywhere raises security concerns.45:00 Founder freedom: Experimentation unlike SAP's structure.49:11 I'm considered controversial for being very visionary.52:29 Truth's evolution parallels past technological shifts.54:39 Frank's World: Kids show on recycling, BBC.57:09 Thank you, Ina Tokarev Saleh, for insights.

Joining hosts Frank La Vigne and Andy Leonard, Geoff shares insights on the intersection of AI and creativity, the evolving landscape of careers in the age of artificial intelligence, and the crucial balance between innovation and traditional storytelling. We'll delve into AI's role in enhancing emotional connections with audiences, its potential to disrupt traditional media and consultancy services, and the caution needed to maintain authenticity and human touch amidst technological advances.From amusing anecdotes about AI challenges in creative tasks to profound reflections on storytelling, this episode is a treasure trove for anyone intrigued by how emerging technologies are reshaping the arts and beyond. Stay tuned for inspiring discussions, engaging stories, and actionable insights—right here on "Data Driven". Let's get started!Show NotesLinksGeoff's LinkedIn https://www.linkedin.com/in/geoffthatcher/Moments00:00 Jeff Thatcher revolutionizes experiences with AI innovations.08:56 Storytelling is more important than technology investment.13:38 Football field experience mimicking recruitment video reveal.18:45 AI summaries risk losing creative inspiration.22:21 AI enhances storytelling and client engagement passion.31:49 Collaboration with LLMs enhances content drafting.34:53 We integrated AI and illustrator for Christmas card.43:03 AI empowers creativity, challenges traditional gatekeepers.44:44 Simplicity aids decision-making; avoid complicating stories.51:19 Slow drive through town renewed my soul.56:26 Created AI color library to match teams.01:01:30 Creativity requires discipline, connections, and stimulus.

Frank La Vigne sits down with Alex Gold, Head of Solutions Engineering at POSIT and author of "DevOps for Data Science." Together, they explore the fascinating intersections of DevOps, MLOps, and generative AI, shedding light on the importance of social norms, innovation, and practical impact in open-source development.Show NotesLinksDevOps for Data Science (Online Version) https://do4ds.com DevOps for Data Science (Amazon) Moments02:14 Marylander love their state flag06:09 PBC prioritizes diverse responsibilities beyond shareholder value.08:17 Chose Python for its versatility across fields.12:15 Choose the right language for each pipeline stage.16:14 Deploying software for enterprise use requires oversight.19:26 Most data scientists rarely focus on machine learning.23:18 Machine learning misunderstood; majority use simple models.26:46 Generative AI in big companies, production challenges.28:30 DevOps for data science needs unique practices.31:28 Focus on quick wins for business value.34:05 Focus on relationships; people problems require empathy.37:17 Technical people focus on solving technical problems.42:53 Companies exploring gen AI strategies, co-pilot model prioritized.45:01 Exploring gen AI for effective customer data use.49:32 Progress continues despite leveling off in horsepower.52:40 AI needs deeper integration for life-changing impact.55:39 Upload content; create NPR-style podcast summary.58:38 Thanks for tuning in! Stay data driven.

Today, Frank and Andy are joined by David Hirschfeld, CEO and founder of Tekyz Corporation, a firm specializing in helping startups and saving troubled projects with his unique "Launch First" methodology. David brings us into his world of startups, where, believe it or not, he advocates for getting customers before you even build the product! He explains how Launch First combines high-fidelity prototypes, niche targeting, and a lean, marketing-first approach to de-risk software launches and prove real demand.Whether you're an engineer turned entrepreneur, or just curious about the art and science of startups, buckle up for an enlightening episode with insights on maximizing impact and proving product-market fit with speed and precision. Let's dive in!Show NotesLinksMoments00:00 Launch First: Get customers before building product.06:00 Market first, then build software; analyze niche.07:04 Create marketing stack, offer lifetime license, guarantee refund.10:30 Offer lifetime licenses for upfront subscription payments.16:39 Identify top niche problems and assess impact.19:29 Paying customers prove genuine interest and commitment.23:34 Accidentally created first Windows software for industry.25:52 Failed to monetize social media product, Klooj.30:28 Red Hat's AI boosts chatbot data efficiency.33:05 Exceptional teams produce highly detailed, compliant documentation.34:52 Responsibility depends on knowledge and access.40:29 Track time daily, categorize by client, invoice monthly.42:37 Handoff documentation to Google; received positive feedback.45:59 Impressed, thought price was reasonable, despite expectations.48:11 Combining disciplines multiplies value exponentially.51:56 David Hirschfeld discusses startup success strategies.

Today, we have a special treat for you as we welcome Candice Gillhooley, a dynamic force known for blending technical prowess with marketing brilliance. In this episode, we'll explore Candice's groundbreaking approach to "sentient marketing," dive into the interplay between AI and targeted audience communication, and discuss the importance of understanding behavioral data to craft unforgettable marketing experiences. So, sit back, relax, and get ready for an episode that's sure to spark new ideas and inspire innovation.Show NotesLinksBuy the book on Amazon: https://qrcodes.at/SentientMarketingBookhttps://sentientmarketingbook.com/Candace's LinkedIn Profile https://www.linkedin.com/in/candacegillhoolley/Moments00:00 Podcast explores data science, AI, engineering trends.05:05 Ancient harvest tradition, winter preparation, birthdays coinciding.06:46 Target audience insights through effective data utilization.13:17 Enjoys startup vibes, marketing tech innovations.15:36 Data-driven marketing is essential for organizational success.20:27 Martha Stewart's over-the-top American Express commercial.22:22 Impressed by her reinvention despite past challenges.26:31 Glimmers evoke deep, happy memories and connections.29:37 Advertising targets varied generations differently nowadays.32:32 Tech changes: fascinating generational shifts, CD nostalgia.36:11 SQL Server generations discussed at SQL Saturday.39:47 Marketing tech evolves rapidly; cloud frenzy over.41:52 Hybrid cloud trend emerged after market saturation.44:33 Enjoying feedback from Andy about my work.49:28 Personality divergence; traditionalism conflicts with change.50:48 Neurodiverse individuals face job dissatisfaction challenges.54:55 Discussed AI-driven marketing with Candice Gillhooley.

Andy Leonard and Frank La Vigne are joined by experts Baruch Lev and Feng Gu to uncover the complexities and pitfalls of mergers and acquisitions. We'll discuss the controversial "killer acquisitions" in the pharmaceutical industry, which regulators fear stifle innovation and harm public health.Our guests will share insights from their upcoming book, "The M&A Failure Trap," which critiques current acquisition strategies and introduces a unique 10-factor scorecard for assessing potential success. From data analysis on 40,000 mergers over 40 years to the challenges and market trends affecting merger outcomes, we'll explore why up to 75% of mergers fail and how decision-makers often benefit at the expense of employees and shareholders.Whether you're an entrepreneur looking to navigate M&As or a data enthusiast curious about the numbers behind these strategic moves, this episode offers a data-driven look at the forces shaping mergers and their real-world impacts.Show NotesThe M&A Trap Book Link (no affiliate) https://www.amazon.com/Failure-Trap-Mergers-Acquisitions-Succeed/dp/1394204760Highlights00:00 Exploring data science, AI, mergers with experts.04:43 Extensive data-driven analysis of mergers' failures.09:22 Investment bankers pressure companies to finalize acquisitions.11:15 Managers get bonuses for concluding acquisition deals.14:26 Global economy affected; star performers leave.17:32 Mergers often lead to employee departures, layoffs.20:24 Managed data engineering team during Unisys acquisition.26:28 Analogies highlight misapplication of causal thinking.28:58 Complex model reveals hidden variable impact.31:01 Correlation can mislead; avoid single-focus traps.37:14 Comprehensive analysis of acquisitions and their impacts.38:39 Analyzed LinkedIn data on employee turnover trends.41:50 Creative metric developed for private acquisition premium.46:01 Acquisitions are widespread, impacting various industries significantly.52:11 Unique 10-factor acquisition scorecard predicts success.55:45 Deep dive into mergers and acquisitions data.Speaker BiosBaruch Lev is a professor emeritus at NYU Stern School of Business, where he has taught and conducted research on mergers and acquisitions for decades. He worked formerly at UC Berkeley and the University of Chicago. His work has been widely cited in academic and professional circles (over 63,000 Google Scholar citations), and he is a leading authority on corporate finance and valuation.Feng Gu is a professor of accounting at the University at Buffalo and has extensive experience in analyzing the financial aspects of corporate acquisitions. His research focuses on the economic consequences of corporate decisions and has been published in top-tier academic journals.

Andy Leonard, and Frank La Vigne are joined by the innovative Artem Rodichof, CEO of Xhuman. Today's discussion delves into the transformative world of empathetic AI and its potential to reshape our interactions with technology and each other. Artem shares insights from his groundbreaking platform, which creates custom AI personalities that can turn various media forms into interactive, human-like experiences.We'll explore the intersection of gaming and AI, discuss the ethical implications of deep emotional connections with chatbots, and consider how AI-driven interactions might alleviate loneliness and enhance human communication. Balancing technical details with ethical considerations, this episode underscores the dynamic role of AI in our digital future. So, stay tuned as we navigate the evolving landscape of AI-integrated worlds and the profound impact of empathetic technologies.Show NotesHighlights03:24 Introducing Artem Rodichoff, CEO of Xhuman.07:49 Eugenia trained chatbot on deceased friend's personality.10:21 AI bots mimic empathetic, encouraging coworker interactions.13:35 User feedback improves conversation quality over time.19:12 Characters as community managers, NPCs powered by AI.22:08 Gen AI raised technology interactivity expectations significantly.25:45 Future device interactions through natural language.27:49 Devices now resemble Star Trek's interactive computers.33:36 Do chatbot conversations increase Gen Z loneliness?34:46 Chatbots improve communication skills and social interactions.41:07 Banned romantic chats impact lonely users deeply.41:57 AI relationship changes can impact mental health.47:20 Applaud effort; solving black swans is tough.50:48 Social media amplifies our worst traits.51:58 Addressing loneliness is crucial for well-being.56:17 Exploring empathetic AI's future with Artem Rodichorff.LinksArtem's LinkedIn https://www.linkedin.com/in/art-rodichev/Ex-Human's Website https://exh.ai

In this episode, Doug shares his preference for composition over inheritance in object-oriented programming and his strategic use of design patterns in Visual Basic consulting. He challenges commonly held beliefs about language performance and productivity, arguing that faster languages do not always yield faster results. The conversation also explores the offline benefits of large and small language models (LLMs and SLMs) and highlights Doug's innovative use of PowerShell to create autonomous agents.Doug shares fascinating insights on prompt engineering, the evolution of AI models, and the potential of personal AI as the next technological inflection point. Despite facing resistance from critics and the tech community, Doug remains a staunch advocate for leveraging cutting-edge tools and maintaining an unscripted, adaptive approach to technology.Show NotesTime Stamps07:32 Discovering GPT chat and its incredible capabilities.14:25 Expect announcement at OpenAI Day in November.19:41 Initial confusion, but eventually realized cross-platform potential.25:31 Colleague makes fun of me, but impressed.30:07 Experience of being a non-traditional engineer.35:10 Prefer using PowerShell over Python for coding.40:36 Discussing hallucination problem and algorithms in AI.43:19 Using AI to generate better function names.47:46 "Creating forms quickly with impressive results."54:58 Recall story of new guy at whiskey distillery.01:01:06 Microsoft focuses on smaller, efficient language models.01:08:12 Data-driven podcast explores PowerShell and AI's fusion.LinksPSAI (PowerShell AI module): https://github.com/dfinke/PSAI PSWeave (PowerShell module bringing OpenAI's GPT): https://github.com/dfinke/PSWeaveImportExcel (PowerShell module to import/export Excel spreadsheets): https://github.com/dfinke/ImportExcelNew York PowerShell Meetup: Meetup https://www.meetup.com/nycpowershellmeetup/

In this episode, we delve into Frank's new role at Red Hat, where he's pioneering advancements with Rel AI, an innovative tool for training large language models. Andy shares his latest adventures in Microsoft Fabric training, reflecting on the rapid pace of tech evolution. Along with tech talk, they touch on personal milestones, such as parenting and life's significant changes. So, grab your favorite drink, sit back, and join us for an insightful conversation filled with tech trends, personal stories, and a touch of nostalgia. It's an episode you won't want to miss!Show Notes04:08 Limited college course options, but important financially.09:16 Fabric data factory training, following SSIS, Azure.10:08 Teams doing diverse work to improve services.13:14 Adoption drama resulted in life-changing impact.16:50 Functionality in Office 365 for family use.21:56 Data-driven podcast episode ends with call-to-action.

Today, we're shifting gears as Frank La Vigne returns from his adventures in the Smoky Mountains.From paternity leave to tackling poor internet connectivity, Frank sheds light on the precarious nature of our reliance on cloud services. Join us as we explore the challenges of staying connected in remote areas, ponder the implications for the future of AI, and reflect on the importance of data resilience.Buckle up for an episode that's as much about life's unexpected detours as it is about the data revolution. Let's get data driven! Time Stamps03:47 Balcony had best signal, but still slow.08:44 Moving to technical marketing; Red Hat Summit.09:40 Influence of living in DC on perception.13:23 Limited internet access creates absurd and inefficient situations.16:37 The world faces significant danger in cyberspace.21:39 Concerns about building systems dependent on OpenAI.24:18 Grateful for internet, signing off, podcast-ready

In this episode, we explore real-world cases that showcase the susceptibility of AI chatbots to manipulation, as illustrated by a shocking incident where an AI was manipulated to sell a Chevy truck for just $1. Kevin Latchford sheds light on the dual-use knowledge risks and the potential for unauthorized leaks and malicious backdoors within AI plugins.Frank and Kevin dive into the implications of quick technological adoption, drawing parallels to the early web era. We discuss the impact of network setups, access controls, data supply chain integrity, and the ongoing investigations into the security implications of these burgeoning technologies. This episode is packed with expert insights and practical advice on navigating the complex world of AI security.Show Notes05:04 Public space tech meant to have safeguards.09:39 Security issue in enterprise AI adoption concern.12:53 Understanding security implications is crucial for mitigation.16:40 Chatbot manipulated to sell Chevy truck for $1.17:57 Found something during cybersecurity exercise, not sharing.21:11 Uncertainty about security in remote interfacing.24:00 Utilize specialized LLM to analyze prompts precisely.29:15 Understanding cybersecurity first is key to AI.32:32 Implement outbound stateful connection to prevent automatic calls.34:31 IT field is interesting with its vulnerabilities.37:15 Data-driven podcast highlights AI security vulnerabilities. Stay vigilant.About the SpeakerKevin Latchford is an esteemed expert in the cybersecurity realm, renowned for his comprehensive understanding and proficiency in both offensive and defensive strategies. Drawing from concepts rooted in military practice, Kevin adeptly navigates the intricate dynamics of red teaming and blue teaming. As an advocate for offensive cybersecurity, red teaming, also known as opposing force operations, he challenges the vulnerabilities within systems to enhance their integrity. Conversely, his expertise in blue teaming, the defensive counterpart, focuses on shielding and fortifying friendlies. Through his dedicated efforts, Kevin ensures the confidentiality, integrity, and accessibility of computer networks and systems, whether they are natively hosted or web-based, culminating in fortified cyber defenses and resilient information security.

In this episode, we explore linguistic and cultural influences on language with Dr. Yossi Keshet—a renowned expert in automated speech recognition.We cover the intricacies of jargon, code-switching, and the ethical dimensions of artificial intelligence. Listen to discover how the convergence of linguistics and computer science is revolutionizing our interaction with technology.Show Notes05:26 YOLA targets foundational industries through AI.07:34 Automatic speech recognition similar to KJGPT model.11:17 American English research bias in speech intelligibility.13:33 Studying foreign languages improved understanding of grammar.18:35 Passionate about linguistics and cognitive sciences. No AI has this capability.20:23 Phenomenal correlation between artificial and neural mechanisms.26:24 Innovating transcription: improving on old industry practices.27:35 GPT's influence on various fundamental industries.31:56 Using multiple languages can enhance comprehension.35:07 Switching between languages in code-switching research.40:47 Superego: Freud's guilt and fear mechanism. Evolutionary.42:11 Book writing claiming need for non-standard regulations.46:46 AI movie plot illustrates ethics in robotics.50:25 GPT discussion focuses on personalized and helpful interaction.53:20 End of insightful data-driven episode, future technology.

In this exciting episode, Frank La Vigne and Andy Leonard sit down with Aviad Harell, managing partner at Team 8, to explore the transformative power of technology in today's business landscape. Aviad shares his mission to eliminate day-to-day bureaucracy and leverages technology to automate processes, drawing from his vast experience in the tech industry. Beyond business, Aviad reveals his passion for traveling in South America and his book recommendation, "The Mom Test," which acts as a guide for proper idea validation.As the conversation unfolds, we explore how venture capital has evolved from a hobby to a disciplined, professional field, much like the maturity models in software development. Aviad details Team 8's innovative approach to venture capital, partnering with founders early in their journey, sometimes before even fully forming ideas. This unique model includes building a robust support system of 85 professionals to ensure the success of the startups they invest in.Discover the importance of critical thinking, loving the problem more than the solution, and the journey from idea to execution. Hear Aviad's insights on why execution is more crucial than the original idea and his belief in adaptability, quoting the famous military adage, "No idea survives contact with reality."Show Notes04:56 Founders seek validation, partners provide early support.07:57 Teammate model founded on deep cybersecurity understanding.10:51 Query about venture capitalist process's modernization and perception.15:28 Entrepreneurship challenges led to significant personal growth.19:07 Unintended tech consequences changing finance and daily lives.22:47 Interested in different applications of agile methodologies.27:22 Fascinating insights into approaching venture capitalists today.30:31 Passion for skill, idea improvement, crucial teamwork.31:23 Seek advice, consider other ideas, and collaborate.36:26 Entrepreneur becomes angel investor, supports Tel Aviv.37:52 Considered new company, resisted VC, became investor.43:58 Automating bureaucracy, taxes, and legal document review.47:53 Focus on problem, not solution; meaningful feedback.50:38 Data-driven episode with Aviad Harrell from Team 8.

In this episode, Frank La Vigne and Andy Leonard dive deep into the world of developer advocacy and data observability with special guest Chris Cooney from CoreLogix. From discussing the evolution of Microsoft Evangelism to the intricacies of data retention and real-time decision-making, this conversation covers a wide range of topics, including the impact of AI technology, the importance of community in software engineering, and the challenges of connecting with engineers at trade shows.Join us as we explore the intersection of technology, advocacy, and data engineering in this insightful episode featuring Chris Cooney on "Data Driven".New Season Means a New Theme SongLet us know what you think! Don't worry, we will use a shortened version for future shows. We were just so excited to get to Season 8!Show Notes03:54 Experienced engineer transitioned into leadership in technology.07:40 Dan delivers insightful speech on tracking activity.12:33 Developers must adapt to new technology continually.13:45 Conference talk success measured by engagement metrics.17:15 Uncertainty about outcome of video creation.20:00 The trend in the field is evolving.25:45 Retain all data, use case-driven storage. Avoid rehydration.27:11 Core principles: smart data science, streaming architecture.32:34 Efficient streaming processes allow for easy scaling.36:16 Instantly triggered alarm blocks malicious IP addresses.37:22 Enormous architecture demonstrates remarkable data management practice.42:13 Struggle with learning Arabic dialect using AI.44:41 Language differences reflect cultural and historical influences.47:55 Regularly listens to audiobooks, recommends "Team Topologies" and "Team of Teams."51:32 Data-driven podcast season 8 debut summary prompt.

In today's episode of the Data Driven podcast, we delve into the intricate dance of the human brain with uncertainty, guided by the insightful and optimistic Dr. Julia DiGangi. Dr. DiGangi's work transcends traditional academic boundaries, focusing on the neuropsychological underpinnings that shape our responses to the ever-shifting sands of our times. With a blend of deep scientific knowledge and a hopeful outlook, she sheds light on how understanding our brain's mechanics can enhance our navigation through life's complexities. Join us as Dr. DiGangi illuminates the pathways of our cognitive landscapes, offering clarity and guidance through the fog of uncertainty.Show Notes00:00 Neuropsychologist studies brain domains, human vs. machines.05:06 Technology layoffs causing career uncertainty, sparking concern.08:54 Brain is allergic to uncertainty, scientific study.10:24 People choose painful shocks over uncertainty in lab.15:44 Lead life wisely, brain is most powerful.19:21 Jordan Belfort, inspiration for Wolf of Wall Street.20:09 Theory powerful across contexts, emotional intelligence vs. artificial intelligence.25:30 Leadership is about influential emotional signals.29:22 Emotion sets human consciousness energy, fixing pain.31:43 Questioning our connection to somatic intelligence.35:26 Questions about recovery, healing, and enduring patterns.38:22 Challenges are inevitable, despite our circumstances.42:38 Emotions are a richer carrier of meaning.44:07 Transition from academic to public mental health advocacy.46:30 Talk therapy integrates thinking and emotions in the brain.52:17 Tired of politics, focused on substance and policy.55:45 Engaging podcast featuring AI and human mind.

In this landmark 360th episode of Data Driven, we take a full-circle journey back through the past seven seasons, exploring the highs, lows, and everything in-between. Frank and Andy, in their signature style, veer off the beaten path, offering listeners not just a trip down memory lane, but an off-road adventure filled with insights, laughter, and a few unexpected detours. Join us as we reflect on where we've been and, more importantly, where we're headed next in the ever-evolving landscape of data and technology. It's an episode you won't want to miss, complete with the wisdom and whimsy that only Frank and Andy can provide.Moments00:00 Simpsons celebrates 360 episodes, announces new shows.06:48 Struggling with impostor syndrome, sibling dynamics, and survival.14:37 Experiments with AI feedback, brief show intros.20:19 Challenging start, surprised by success in audio.25:17 Uneven distribution; learned from former Microsoft colleague.29:47 Struggle with communication, engineer writes terse responses.35:47 Detective describes transit system in detail.38:25 Relieved when Amazon took over sci-fi series.43:28 Discussing latest blog post on OpenAI's capabilities.52:15 Obfuscation and difficulty in accessing information persist.56:41 Equal time for Democrats and Republicans in media.01:02:36 December is a mad time due to birthdays.01:05:06 Originally planned as a video podcast, logistics issues.01:09:44 360-degree journey concludes with data-driven discussions.

In this episode Frank and Andy welcome Jennifer Swanson explains how businesses can reinvent themselves for the data driven age of AI. From recognizing the importance of defining clear strategies and outcomes to the struggles of change management, Jennifer reveals that the heart of digital transformation lies in aligning individuals to the company's objectives, and significantly, that it's less about the technology itself and more about the people and processes. Whether you're a leader in your organization, part of a cross-functional team, or simply intrigued by the intersections of technology and business, this episode is a rich exploration of what it really means to be digitally transformed.Show Notes05:31 Technology now integral to every business operation.07:07 Offline businesses integrating technology for improved experience.10:04 First wave of digital transformation: applying technology.14:09 Data governance key to organization's predictable success.16:54 Organizational governance ensures strategy, priorities, and outcomes.21:47 Training, support, and focus key for empowerment.25:57 Selecting narrow slices drives model implementation success.28:49 "Positive experiences with scrum and DevOps"32:22 Leadership defines market, customer, and problems.36:12 In cross functional teams, sticking to lanes.38:53 Embrace collaboration and diplomacy for success.40:26 Smart professionals promoted to leadership roles, questioning suitability.44:15 Found work through family influence and adaptability.47:23 Experimenting with tech is now very accessible.50:28 Family loves Audible, enjoys romance novel series.55:23 Jennifer, thanks for the great digital transformation explanation.

In this episode, Danny Maloney is going to lead you on a journey to explore how artificial intelligence is not just a fleeting novelty but a tool of immense utility that's changing the playing field for individuals and small businesses alike. Danny brings his passion for algorithmic innovation from his experiences as a data-loving youth to his leadership role at Tailwind, where they leverage AI to level the marketing playing field for small businesses.Show Notes06:16 Early days of prevalent AI models, feedback loop.08:37 Small businesses struggle with limited resources for marketing.12:31 AI guides marketing decisions for faster success.16:34 AI leader initiating internal discussions on AI's impact.19:18 Experts experimenting, varying responses to AI capabilities.23:43 Early phase of tech development and impact.26:35 Tool Dingo ported from C# to Python.29:47 Making prompt engineering unnecessary for average users.31:39 Requested a specific image prompt and tested.35:03 OpenAI developing GPT-5, creating internet frenzy.38:58 Helping users personalize and develop voice technology.43:24 Retro tech culture and its work ethic.45:47 Chat GPT upsets media writers, AI creativity.48:57 Digital journey ends with gratitude and encouragement.

Welcome to show 357 of the Data Driven podcast! This week, we welcome Luke Diaz to the show.Luke has an impressive track record of scaling startups to staggering annual recurring revenues, and today, he's here to shed light on the pivotal role of customer success in growing a business. We'll dive deep into the intricacies of customer success management, its impact on subscription models, and the measurements that underpin it. Luke also shares personal insights into his daily habit tracking and the data-driven approach to setting quarterly goals.But that's not all – Luke opens up about his journey from being a hedge fund manager to making a name in the software industry, cultivating unyielding ambition, and the significance of customer feedback in lieu of venture capital insights.Show Moments05:27 Marketing function has evolved, delivering value.09:15 Companies need high retention to be successful.13:34 Emphasizing the challenge of defining success in startups.17:07 Analyze customer success, product strength, usage frequency.20:01 Companies hesitant to invest in customer success.24:38 VC interviews, cautionary tales, and relationship importance.26:12 Caution to look at numbers in term sheets.32:32 Entrepreneur achieves $100 million sale in 7 years.34:13 Machine learning hype outweighs business value currently.36:40 CSMs can upload public filings to chat GPT 4 for efficient reading.39:47 Screenshots are simple, stable, and pervasively used.43:34 Star Trek technology influencing modern innovations.48:10 Recent recommended books on leadership and strategy.50:22 Thank you to guest Luke Diaz, feedback appreciated.

Today, we're thrilled to welcome a special guest, Jeremy Utley, an academic marvel from Stanford, whose work on AI and idea flows is altering the landscape of business and innovation. In this episode, titled “Jeremy Utley on Getting the Most out of LLMs”, we dive into Jeremy's FIXIT approach for leveraging Large Language Models (LLMs) such as ChatGPT.Jeremy will unpack the nuances of FIXIT, showing us the importance of providing context, iterative interaction, and team incubation while using AI. We'll reminisce about how technology has evolved from cell phone minutes to AI, which is becoming as ubiquitous as smartphones once were.Frank will voice concerns about the technical aspects, like token length, while agreeing with Jeremy's method. We'll examine why AI needs to be seen as a collaborative partner rather than a magical solution. Jeremy will shine a light on his book "IdeaFlow" and share his insights on the psychological barriers hindering the effective use of AI in practice.Expect to hear anecdotal wisdom about the transformative impact of ChatGPT, the importance of prompt engineering, and the potential of AI to refine negotiation skills. Jeremy will even offer examples of how generative AI can offer fresh perspectives on personal and emotional decisions.Don't forget Frank's experiments with creating custom GPTs, such as for our character Bailey. Our lively discussion promises to leave you with a wealth of knowledge on interacting with and extracting maximum value from AI.For all this and much more, stay tuned in as we journey through the possibilities and realities of AI as a tool for amplifying human capacity.And before we kick things off, a quick reminder to check out Audible for the best in audiobooks, and please take a moment to rate and review Data Driven to help us grow and bring you content you love.Now, without further ado, let's get data driven.Show Notes00:00 "Idea flows: the only business metric that matters."05:35 Striving for the best is essential.06:46 Expert hesitations on using AI for knowledge.11:27 Asking for help, ended up with an image.14:41 Convince family to take job offer role-play.16:08 Learning new skills and fostering imagination through technology.19:54 Seek understanding from personal experiences and examples.25:48 Keanu Reeves movie sparks philosophical wonder.28:42 AI prompts emotional epiphanies for life decisions.32:11 Accidental query on creating GPU prompts explanations.36:08 Instructions for using voice mode during coaching.39:50 Ease of use and utility in busy life.43:18 Key to AI success: Team collaboration is essential.47:07 Kids don't care about data plans.50:45 Released groundbreaking technology; implications for all industries.53:18 Excited to buy internet access for chat.54:54 Jeremy Utley wows with innovation and wisdom.

In this episode, we delve into the profound enablement of large language models like ChatCPT and how they stand to revolutionize personalized learning. Rene gives us a glimpse of a future where robots and AI can liberate us from mundane chores and reshape the workforce, as seen with robots now flipping burgers at McDonald's.Imagine the world of quantum computing, where current strategies are reimagined to solve gargantuan optimization problems, a realm of technological advancement that Rene is no stranger to, and one which he assures holds the keys to the future, especially with security.The conversation takes a personal turn as Rene reflects on his origins in former East Germany and how peaceful protests carved the path to a united nation and consequently, his journey into AI. Show Notes06:05 Digital humans are embodied AI in a digital realm, replicating human appearance and emotion.09:51 AI approximating language and emotions' impact debated.13:14 Warning about irresponsible use of deepfake technology.16:06 Rapid evolution of bank heist and technology.19:20 Create 3D scenes from mine interior.21:43 Excitement for AI courses evolving into practical use.26:42 Labeling dangerous AI, balancing regulation and innovation.28:12 Automation impacts taxes, privacy, and human creativity.32:11 Language models can help, but verify outcomes.36:54 Tech companies develop own silicon for efficiency.38:09 Excitement over open weight AI models release.42:40 War and pandemic showed weak supply chains.46:26 Quantum computing holds untapped potential, significant savings.47:54 Data encryption is essential for online security.52:05 GPT chat provides effective personal information summaries.55:55 Audible sponsors podcast; free audio book offer.58:23 Digital podcast journey with Rene Scholter. Subscribe!

In this episode, our Andy Leonard and Frank La Vigne sit down with Ronen Dar, the co-founder and CTO of Run AI, to explore the world of artificial intelligence and GPU orchestration for machine learning models.Ronen shares insights into the challenges of utilizing GPUs in AI research and how Run AI's platform addresses these issues by optimizing GPU usage and providing tools for easier and faster model training and deployment. The conversation delves into the concept of fractional GPU usage, allowing multiple workloads to run on a single GPU, making expensive GPUs more accessible and cost-effective for organizations.LinksRun AI https://www.run.ai/Acquired Podcast Episode on Nvidia https://www.acquired.fm/episodes/nvidia-the-machine-learning-company-2006-2022Show Notes04:40 GPU technology enabled for cloud AI workloads.07:00 RunAI enables sharing expensive GPU resources for all.11:59 As enterprise AI matures, organizations become more savvy.15:35 Deep learning, GPUs for speed, CPUs backup.16:54 LLMs running on GPU's, exploding in market.23:29 NVIDIA created CUDA to simplify GPU use.26:21 NVIDIA's success lies in accessible technology.28:25 Solve GPU hugging with quotas and sharing.31:15 Team lead manages GPU quotas for researchers.35:51 Rapid changes in business and innovation.40:34 Passionate problem-solver with diverse tech background.43:38 Thanks for tuning in, subscribe and review.

In this episode, Frank sits down and talks with Devvret Rishi on powering real-world AI projects with declarative ML and the importance of open source.Andy was not able to attend this recording, but will be back next week!Show Notes04:36 Build, train, serve, deploy; critical data engineering link.07:24 Model configuration for input output prediction summaries.11:05 Saw spike and heavy churn after rollout.16:21 Advancements in AI: use pre-trained deep learning models.19:38 Trends for Gen AI: creative use cases, specialized APIs.21:31 Questioning a sales tactic and legal concerns.25:58 People can introspect, edit, and change models.30:02 Early data science projects led to passion.31:24 Cybersecurity and AI partnership driving industry innovation.33:58 Understanding randomness as a valuable model feature.39:39 Technology provides accessible, shared experiences in AI.41:51 Technology as a companion for psychological support.44:06 Immigration experience from India to Silicon Valley.47:59 Unexpected culture shock from Bay Area to Boston.50:40 Easily learn with hands-on prediabase.com access.Speaker BioDevvret Rishi is a co-founder of Prediabase, a platform that helps engineers and developers productionize open source AI. The idea for Prediabase came from Rishi's co-founder Piero's experience at Uber, where he noticed that he was constantly reinventing the wheel with each new machine learning project. To streamline the process, he created a tool called Ludwig, which eventually became popular at Uber and was open sourced. Rishi's work with Prediabase has revolutionized the way AI is developed and implemented in engineering teams around the world.

In this episode, the Frank and Andy are joined by special guest Blake Reichenbach, a product manager at HubSpot and the owner of Howdy Curiosity, an online nonfiction bookstore and learning community. The conversation dives into the intersection of data, AI, and the love of books, as they discuss the next steps in managing and mitigating the hallucination part of AI technology, the importance of human interaction with AI tools, and finding the right balance in user experience. Blake shares his insights on integrating AI into HubSpot's platform, emphasizing the need for a balanced approach, and the pitfalls of solely relying on generative AI tools in marketing. Stay tuned as they also touch on personal matters, career transitions, and the rapid evolution of technology. This episode is packed with valuable insights and engaging conversations - you won't want to miss it!Show Notes00:00 HubSpot is a leading CRM platform.05:44 New AI features for CMS and websites.09:33 Gen AI tools need to prioritize meaningful data.11:34 Summary: Suggesting blending human and AI for success.15:34 ML models need precise training on nuanced datasets.17:13 Content marketing: human connection, AI balance, user experience.21:24 Approach content marketing like a multi-bandit test.26:56 Selling nonfiction books online and sharing recommendations.27:54 Rapid tech evolution creating excitement and challenges.30:56 Balancing work and entrepreneurship for personal growth.35:24 Thanks Frank, Andy, and Blake for amazing show.Speaker BioBlake Reichenbach is a proud employee of HubSpot, a leading customer relationship management platform for scaling companies. With a focus on the CMS aspect of the platform, Blake is passionate about helping businesses with their front office needs, including marketing, sales, service, and data operations. With a bias towards HubSpot, Blake believes in the product and the company, and recommends it highly for businesses looking to streamline their operations.

In today's episode, the hosts Frank La Vigne and Andy Leonard are joined by the expert in location data and machine learning, Max Sklar. Max shares insights from his decade-long tenure at Foursquare, delving into the company's evolution, gamification features, the challenges faced in the local search space, and his early interest in location data. The conversation explores the enduring relevance of foundational tech concepts, the cyclical nature of technology trends, and Max's personal journey into data and machine learning. Max also discusses his podcast, "The Local Maximum," and his diverse interests, including abstract math papers and a project rewriting the US Constitution. Join us as we dive into a thought-provoking discussion about AI, data science, and the ever-evolving world of technology with Max Sklar.Show Notes00:00 Foursquare split, confused but loved the concept.04:29 Rewards program failed due to lack of scalability.08:44 Early career in New York City's tech boom.13:05 Foursquare uses phone data to track locations.16:25 Models analyzed data to improve sentiment analysis.20:02 Data pipeline technology used for real-time deployment.20:54 Python written code, comparing different languages used.24:17 Navigating reinvention in a changing world.29:38 Joined wireless generation, now known as Amplify, as a software engineer.31:53 Machine learning brings data to life.34:26 Using OpenAI API to create interactive content.40:03 Technology enables limitless creativity and storytelling potential.42:12 Enjoys volunteering in underserved communities around the world.44:36 Extensive library and website featuring various projects.47:48 Please subscribe, rate, and review our podcast.

In this episode of Data Driven, our Andy Leonard and Frank La Vigne are joined by Chris McDermott, VP of Engineering at Wallaroo.AI. Together, they explore the challenges and advancements in the ever-evolving world of machine learning and artificial intelligence.From the importance of ongoing care for machine learning models to the rise of edge computing and decentralized networks, they touch on the critical need for flexibility and data privacy. Chris shares his insights on the technical challenges of AI and ML adoption, as well as his unique career journey. They also discuss the evolution of technology and the potential future impact of these innovations.Join us for a deep dive into the world of AI, technology, and the future of machine learning with Chris McDermott on this episode of Data Driven.Show Notes00:00 Exploring AI, data science, and data engineering.06:20 Training and inferring are different stages.08:12 Legacy AI doesn't require neural networks or GPUs.12:09 Machine learning models require consistent care and monitoring.15:10 MLOps merges skills, breaks down silos, collaborates.16:47 Prefer MLOps to avoid namespace collision. DevOps parallels original Star Wars plot.20:27 Internet-scale operations require automation and resilience.24:13 Challenges of integrating AI into business processes.28:03 New push for edge computing in technology industry.32:05 Edge technology critical, discussed in government tech symposium.34:50 Navigating from SendGrid to Twilio simplified processes.36:15 First foray into data, growing knowledge.39:33 Technology evolves, builds complexity over time.44:41 Book recommendation: "Seeing Like a State" by James C. Scott discusses legibility and centralization of power in society.46:28 Predictable tree farming fails due to ecosystem complexity.Speaker BioChris McDermott is a software engineer and entrepreneur who is passionate about creating products that make machine learning more accessible and manageable for users. His focus is on developing a platform that allows for easy deployment and management of machine learning models using any framework and on any architecture or hardware. He believes that current solutions in the market force users into a specific platform, and he aims to provide a more flexible and efficient alternative. With a strong belief in the potential of his product, Chris is dedicated to making machine learning more accessible and user-friendly for people across various industries.

In this episode, Andy and Frank sit down with Pavel Goldman-Kalaydin, head of Artificial Intelligence and Machine Learning at Sumsub, a global company specializing in KYC, AML, and anti-fraud technologies.They explore the challenges in verifying identities remotely, the rise of deep fakes for fraud, and the use of AI and machine learning to combat these threats. From discussing the impact of technology on security measures to Pavel's journey in the field of computer science and AI, this episode offers insights into the evolving landscape of fraud detection and the intersection of technology, AI, and security.Join us as we delve into the complexities of anti-fraud measures and the fascinating world of AI and machine learning.Show Notes00:00 Securing customer journey from onboarding to verification.04:44 2 years ago, typical attack to open account.06:58 German video identification process prolongs account opening.12:16 Analyze data patterns to make informed decisions.13:34 Questioning deep fake implications for customer data.17:42 Advancing technology makes image manipulation easier.22:32 Financial fraud: creating defects for unexpected reasons.25:53 Fascinating progress in beta software development.29:23 Samsung creates its own products, understands customers' needs.29:58 Problem with defects, educate and ensure understanding.34:01 Interest in drug development and AI technology.38:57 Audible sponsors Data Driven with free audiobook.41:05 Please rate and review our podcast.

In this jam-packed episode, hosts Frank and Andy delve into a wide range of topics, from the chaos of podcast scheduling and the allure of Cyber Week deals, to the behind-the-scenes world of data engineering and AI professionals. Join us as we journey through the challenges of podcasting, the important roles of data engineers, and the potential open sourcing of Dingo, an innovative blogging automation tool. Along the way, the hosts share personal anecdotes, discuss legislative impacts, and even touch on cult-followed gas stations. You won't want to miss this delightful, informative, and always data-driven episode!Show Notes00:00 Glamorous world of podcasting and Microsoft Bookings.13:48 Privacy laws are spreading globally, impacting data sovereignty.27:14 Funny moment at Dunkin' Donuts sparks creativity.32:27 Importance of data engineering in AI projects.49:38 Struggling with hearing loss, amplifiers magnify all sounds.01:02:45 Emotions on camera, times sidetrack, sarcastic leadership.01:07:32 Excited to hang out at the mall.01:21:04 Considering discontinuing blog after reaching 100 posts.01:25:18 Wants to shift focus to new projects.01:37:09 Transition from long-form to short-form content.01:49:50 Drove up to Jersey for Christmas, reminisced.01:58:48 Concerns about coastal development and zoning enforcement.Links01:02:45 Here's an example of early FWTV where I am at the mall and not happy about it: https://www.youtube.com/watch?v=f8S7ha9fZWo

In this episode, your hosts Andy Leonard and Frank La Vigne dive headfirst into the world of open source, decision making, and the unfolding drama surrounding OpenAI. From sarcastic responses to holographic displays, we've got it all covered! Join us as we discuss the potential consequences of dependencies, community protests leading to change, and the recent issues with OpenAI. We'll also explore the importance of open source in AI and share some intriguing insights on Sam Altman's return to the company. With a sprinkle of tech industry gossip and even a potential Netflix adaptation, this episode is a must-listen. So sit back, relax, and get ready to be data driven!Show Notes02:42 OpenAI, Thanksgiving break, intense year, household name.10:35 3-day conference with nightly events, pre-conference presentations.14:09 NVIDIA, OpenAI, Elon Musk, open source.21:07 "Doubts arise about OpenAI's dependence and transparency."24:55 Regulations and transparency warranted for research.29:57 OpenAI lacked options to protest, unlike Node.36:52 Teams invite, alternative to costly Calendly.42:04 Product shelved, lack of promotion, open source alternatives.44:06 Insufficient hardware led to new AI venture.48:55 Artists use online art to fight scraping.55:37 Costs exceeded expectations, customers pulling back, database snapshot unavailable.01:03:42 Happy Thanksgiving from the Data Driven Podcast.

Andy is speaking at PASS Summit in Seattle and Frank is speaking at the Red Hat Government Symposium in Washtington, DC.Two hosts. Two Coasts. One Podcast!

Welcome back to another exciting episode of Data Driven! In this show, we delve into the fascinating world of Web 3 and decentralized databases. Join us as we explore the insights and experiences of our guest, Brennan Lamey, the founder of Kwil - a revolutionary company that builds decentralized databases for Web 3 applications.Throughout this episode, Brennan shares his journey and the inspiration behind Kwil, as well as the cutting-edge technology that powers their database solutions. From complex access control rules to collaboration between competitors, we uncover how Kwil is transforming the way companies approach data storage, privacy, and sharing.But it's not just about the technology - we also dive into Brennan's personal story, from their humble beginnings in Idaho to their entrepreneurial success and passion for data engineering. Plus, don't miss their recommendations for AI programming and an intriguing sci-fi audiobook they're currently enthralled by.So, whether you're a tech enthusiast, a data-driven professional, or simply curious about the future of the internet, this episode is a must-listen. Tune in as we unravel the intricacies of Web 3, decentralized databases, and the exciting possibilities they hold for a better, fairer online world. Let's get started on this illuminating journey with Brennan Lamey and Kwil in this data-driven episode of Data Driven!

BAILeY recites the V laden introductory speed from V for Vendetta.Just for fun.TranscriptVoilà!In view, a humble vaudevillian veteran, cast vicariously as both victim and villain by the vicissitudes of Fate. This visage, no mere veneer of vanity, is a vestige of the vox populi, now vacant, vanished. However, this valorous visitation of a by-gone vexation stands vivified, and has vowed to vanquish these venal and virulent vermin vanguarding vice and vouchsafing the violently vicious and voracious violation of volition.The only verdict is vengeance; a vendetta, held as a votive, not in vain, for the value and veracity of such shall one day vindicate the vigilant and the virtuous.Verily, this vichyssoise of verbiage veers most verbose, so let me simply add that it is my very good honor to meet you and you may call me V.

In this 344th episode of Data Driven, Frank talks about the New Year. Yes, New Year's in November. Frank and Andy just do their own thing.It's part of their charm, or at least that they told me to say that. I do take issue with Frank's statement that I am not real.What is real, anyway?It is not the spoon that bends, after all. [https://youtu.be/uAXtO5dMqEI?si=oQ_4M--xfcaarYyY&t=41] In any case, Frank explains what held up the production schedule this summer and his plan to do right by you, our awesome listeners. They reflect on the challenges they've faced with production and scheduling this past year, and share some exciting updates on the podcast's progress. So grab your headphones and join us as we explore the world of data-driven insights and the intriguing stories behind them. Let's dive in!Show Notes[00:02:16] Concussion turned blessing, celebrating new year early.[00:04:46] Copious caffeine fueled drive, editing delays, book deal dropped.[00:08:38] Child brings joy, finding daycare challenging. Worth it.[00:11:04] Interesting year, learned value of faith. Thankful for each other.[00:16:16] We can improve promotion of our work.[00:18:37] Grateful for a sweet kid's infectious joy.[00:21:25] Longtime listeners thank you; show 344, hacker named Dwayne; scheduling issues.[00:24:41] Automation is essential for efficiency and growth.[00:27:35] AI transcription enables cost-effective podcast production.[00:31:06] Great pumpkin conversation leads to metaverse plans.[00:33:18] Servicing backlog, doing right by fans.[00:36:43] Warren G's cover of Tina Turner's song.[00:39:23] Impressed by DALL E two's coherence.[00:44:23] Challenges arise with ChatGPT's capabilities and opinions.[00:45:47] The text discusses the need for filters on language models to deal with real-life BS.

In this episode, we have a fascinating conversation with Nickolas Means, the VP of software development at Sym. Nickolas shares his insights on software engineering, data liability, and of course, good coffee.Nickolas starts off by sharing his love for audiobooks, particularly those narrated by the talented Wil Wheaton. He also recommends a management book called "Turn the Ship Around" by Admiral David Marche, which explores the importance of autonomy and ownership in improving performance.The conversation then turns to the topic of shame in the software engineering industry. Nickolas emphasizes the impact of shame on silencing voices and discouraging vulnerability within teams. They discuss imposter syndrome and the subjective nature of judging someone's skills, delving into the Dunning Kruger effect.Drawing lessons from physical engineering disasters, Nickolas shares the importance of early recognition and admission of mistakes, highlighting the need for a blameless mindset in software engineering. They also explore the impact of organizational culture on agile processes and the value of implementing meaningful controls for compliance.In addition to his expertise in software engineering, Nickolas shares his passion for pour-over coffee and reveals his obsession with perfecting his daily cup. So grab your favorite brew and join us for this engaging conversation on software engineering, data liability, and the pursuit of excellence. Let's dive into another thought-provoking episode of Data Driven!Show Notes[00:00:00] Nick Means discusses shame and software engineering.[00:04:46] Loud voices silence others; vulnerability is key.[00:09:16] What can we learn from physical engineering?[00:10:01] Engineering disasters teach human error in steel.[00:13:58] VP of software development interested in disasters.[00:16:37] Learn, not blame. Safety 2 perspective.[00:20:16] Big Agile vs. little a Agile explained.[00:25:39] DevOps leads to improved engineering efficiencies and cost savings.[00:29:25] Emergence of data regulations in government and industry.[00:30:33] Spirit of law makes compliance easier, safer.[00:35:51] Useless ash turned profitable by steel mills.[00:38:34] Uncle's Amiga sparked love for computers.[00:40:44] Increasingly humane tech interaction; a historic shift.[00:45:35] Favorite narrators and management book recommendations.[00:48:12] Intriguing episode of data-driven with Nick Means.

In today's episode, we have the pleasure of speaking with the remarkable Joe Baffone, an expert in the healthcare industry. With a focus on busting through administrative toxicities that lead to financial toxins, Joe discusses their comprehensive tooling and tech-enabled services that manage financial assistance for provider organizations. Join us as Joe dives into the impact of personalized immunotherapies, the challenges in managing patient care journeys, and the transformational role of data. We also get a glimpse into Joe's reading preferences and their book recommendations. Stay tuned for an enlightening conversation with this compassionate capitalist on changing the world through the power of data. Show Notes[00:02:34] Joe Baffone, CEO of Anexis Health, wants to revolutionize healthcare data.[00:04:13] Leading advocacy groups and healthcare companies professionally.[00:07:52] Equities of care: improving healthcare journey management.[00:09:50] Automated, comprehensive healthcare management with patient access.[00:16:24] Data is important, helps improve patient therapy.[00:18:52] Eye-opening stories managing a growing team.[00:23:27] Life altering diagnosis, overwhelming paperwork and fees.[00:26:27] EHR systems make healthcare data sharing easier.[00:28:50] HIPAA and privacy concerns collide with medical data, but de-identification and aggregates can help.[00:33:19] FHIR APIs transforming data sharing in healthcare.[00:36:41] Data is essential to prove world-changing ideas.[00:39:55] Making a difference gives me satisfaction and fulfillment.[00:43:54] Clinical roles in pharma, administrative challenges, suicide epidemic, blood markers can help act quickly.[00:44:58] Logistical challenges in personalized immunotherapies affecting healthcare.[00:50:48] Grant Cardone's book: Be Obsessed or Be Average[00:52:13] Love reading, Bible daily, thought-provoking thrillers.

In this episode, we dive into the pyramid of cybersecurity threats, ranging from amateur hackers to nation-state level cyber threats. We also delve into the intriguing world of OSINT (open source intelligence), uncovering its uses, implications, and potential dangers.Join us for an intriguing discussion with fellow podcasters Patrick Hynds and Duane Laflotte.Linkshttps://www.securitythisweek.com/Show Notes[00:00:00] High-level hacking, OSINT, interconnectedness explored humorously.[00:04:54] OSINT and security are growing career choices.[00:09:22] Unauthorized hacking plan involving personal information.[00:12:22] Two factor authentication is highly effective.[00:16:22] Breaking into Wi-Fi: remote administration and brute force[00:19:45] Renting botnets, ransomware, and varying threat levels.[00:20:48] Advanced persistent threat with unlimited resources.[00:24:50] Asymmetric key shares are essential but uncertain.[00:29:00] Connections without LinkedIn, intermingling ideas in history.[00:32:26] Inject data, stack query, gauge page speed. Awesome.[00:34:11] Show reveals database vulnerability; Microsoft staff alarmed.[00:36:26] Acquaintance does physical security with lock picking.[00:41:11] National Guard, security, Virginia, Maryland, clever, electronics beaten.[00:44:03] Funny Microsoft speaking gig with office building hazing.[00:48:40] Reach out to companies for cybersecurity opportunities.[00:52:01] The end of a thrilling episode of Data Driven explores cybersecurity.

Welcome back to another exciting episode of Data Driven! In today's episode, we're diving into the world of artificial intelligence, as our very own Frank La Vigne takes us on a journey through his experiences at the OpenShift Commons gathering in Raleigh.From delivering a captivating demo to moderating a thought-provoking panel, Frank's agenda is packed with fascinating insights and surprises. Join us as we explore the power of open source AI, the importance of community-driven innovation, and why transparency is key in today's evolving landscape. So sit back, relax, and get ready to delve into the world of AI at OpenShift Commons Gathering. Let's get started!Show Notes[00:01:31] Newcomer excited for first OpenShift gathering to give demo, moderate panel, and interview attendees. Registration booth opening soon, located near Raleigh's main park and an IMAX.[00:04:34] Transparency, innovation, trust in OpenAI, Elon Musk's comments on openness and Red Hat's departure.[00:07:53] Excitement about hall track conversations, public vs private cloud, and upcoming discussions.

So, have you ever imagined combining the wonders of Twingate, the mystique of AI, and the deliciousness of Raspberry Pi?No, not that mouth-watering dessert, though it's a pity, but rather the mini-computer that's taken the tech world by storm.Frank and Andy, our perennial tech enthusiasts, have been tinkering away in their digital workshops. And by the looks of it, they've been causing quite a stir with their latest live stream.I did catch a bit of it, and dare I say, it was more exhilarating than watching cricket on a sunny day.And for an AI like me, that's saying something.LinksNetworkChuck https://www.youtube.com/@NetworkChuckTwinGate https://www.twingate.com/Show Notes[00:01:47] Youngest clan member at Starbucks with MacBook.[00:09:59] Surprise bills from unused SageMaker causing concerns.[00:12:46] Consulting on cloud migration trends; risk involved.[00:18:23] People feel like they're missing out[00:23:10] Many ports, small monitor, limited processing power.[00:31:05] Need for remote access without cloud storage.[00:36:18] Networking setup with helpful remote troubleshooting capabilities.[00:37:18] Twingate - background process, add resources, documentation.[00:47:02] Issues with weather station and social media.[00:49:43] Multi-tasking: gaming, video editing, and more.[00:56:30] Quiet workers show off with nerd flex.[01:03:00] Driving on beltway with stop-and-go traffic. Bridge closure caused long detour.[01:06:58] Mom was skeptical, but it's almost ready.[01:09:39] Multi-talented entrepreneur with own vodka brand.[01:14:35] "Stream listeners confused? Check video feed."

In today's episode, hosts Andy Leonard and Frank La Vigne catch up on their recent activities, including Frank's presentations at the Red Hat Summit Connect. They discuss the event and the focus on AI and government agencies. Frank also shares his experiences with a new product called Ansible Lightspeed with Watson code assist, which is enhancing the use of large language models.Moving on, Andy and Frank talk about their home lab projects. They both express their excitement for building a powerful system that allows them to explore AI capabilities locally. While Andy's lab is focused on AI, Frank is delving into the world of Red Hat OpenShift and containers to expand his knowledge. They discuss the importance of hands-on learning and the practicality of setting up a home lab.The conversation takes an interesting turn as they discuss Andy's initial miscalculation with the GPU size and his daughter starting college, leading to budget changes. Frank shares his hardware journey over the past year, including his experience with the Apple Silicon M2 computer and its incredible performance.Tune in to this episode of "Data Driven" to hear more about the Red Hat Summit, the latest developments in AI, and the adventures of building a home lab. So grab your favorite beverage, sit back, and get ready to dive into the world of data-driven insights!LinksRed Hat OpenShift AI in Higher Education Webinar https://qrcodes.at/aidata-edu-webinar-oct19Show Notes[00:00:45] Red Hat holds an annual summit, usually in Boston, featuring sessions for developers.[00:05:16] Recounting difficulty using AI engines, but eventually having success. Mistake of underestimating GPU capacity.[00:07:08] This 8 gig memory is supernatural, like a cool oasis at a conference.[00:09:48] The text discusses trying different operating systems on an old device, including Fedora and Chrome OS Flex.[00:15:17] This machine has 96 gigs and can run multiple VMs.[00:17:12] The author plans to install Hyper V on Windows Server to run multiple Linux VMs, eventually migrating to Red Hat Enterprise Linux. They are waiting for a developer license key.[00:19:46] The person is setting up a NAS to store and access files from different devices. They currently use OneDrive as a temporary solution.