Disambiguation

Michael Fauscette
  • 5.0 (1)
  • TECHNOLOGY
  • UPDATED WEEKLY

"Disambiguation is the process of removing confusion around terms that express more than one meaning and can lead to different interpretations of the same string of text." Host Michael Fauscette of Arion Research; a leading technology analyst, tech startup advisor, consultant, board member, and storyteller; and his guests "remove the confusion around" artificial intelligence (AI), generative AI and business automation by looking at the business solutions available today to improve business outcomes and gain competitive advantage. 

  1. Building Visibility: How Personal Brand Drives Business Growth

    23H AGO

    Building Visibility: How Personal Brand Drives Business Growth

    Jimi Gibson, VP of Brand Communication at Thrive Internet Marketing Agency, joins the show to explain why executives and subject matter experts need to build personal brands in the age of AI-driven search, and how a professional magician's framework for capturing attention translates directly into business communication strategy.Jimi shares his Magic Script framework (connectivity, curiosity, conversion) with a live card trick demonstration that breaks down the neuroscience of engagement: oxytocin for trust, dopamine for curiosity, serotonin for satisfaction. He walks through his first 90 days of building personal visibility for Thrive and shares research showing that executives who post on LinkedIn just 10 times a year see 30% more referrals and larger deal sizes. The conversation dives into how the shift from SEO to generative engine optimization (GEO) and answer engine optimization (AEO) is changing how companies get found, with 37% of searches now originating in LLM platforms and AI-driven traffic converting at 3.5 to 4 times the rate of traditional search traffic.Guest: Jimi Gibson, VP of Brand Communication, Thrive Internet Marketing AgencyTimestamps: 00:00  Intro 00:32  Welcome Jimi Gibson 01:13  From professional magician to marketing strategist 03:57  How a performer mindset shapes brand visibility 08:18  The Magic Script: connectivity, curiosity, conversion 08:29  Live card trick demonstration 15:42  The neuroscience behind the Magic Script 21:49  Why storytelling beats data dumps 23:44  Becoming the face of Thrive: the first 90 days 30:44  How personal brand drives company growth 34:45  From SEO to GEO and AEO: how AI changed search 42:46 Finding answers vs. finding a way to find answers 44:39 Activating subject matter experts as thought leaders 47:41  Book recommendation: "Story Worthy" by Matthew DixDisambiguation is an Arion Research production. New episodes weekly.Website: https://arionresearch.com Host: Michael Fauscette

    49 min
  2. AI in the Back Office: Where the Real Enterprise Value Is Hiding

    FEB 25

    AI in the Back Office: Where the Real Enterprise Value Is Hiding

    The biggest AI opportunity in enterprise isn't in your sales team or your chatbot. It's buried in the back office, where inefficiencies have been hiding for decades. What happens when seed-stage startups start solving those problems with 35 people instead of 35,000?In this episode, Michael Fauscette sits down with Matt Ober, Managing Partner at Social Leverage, to discuss where the real enterprise value is hiding in AI, why go-to-market matters more than ever, and what separates the founders who break through from those who stall.TIMESTAMPS:00:00 - Introduction00:52 - Matt's background and Social Leverage's 17-year investing journey01:53 - How AI changed what matters at the seed stage04:41 - What AI capabilities are actually delivering results vs. hype06:58 - Why outbound sales automation is working again08:52 - Slash Experts and the power of verified client references in B2B12:40 - Middle and back office AI: where the biggest inefficiencies live15:06 - Voice AI in recruiting and why Ribbon AI is changing hiring17:21 - Leah AI and document intelligence for wealth management21:01 - Data moats, data pipes, and the opportunity in information services24:34 - Common mistakes AI-native founders make28:09 - Social Leverage's $85M fund and where the big bets are going32:21 - Why vertical-first beats horizontal in AI33:24 - Advice for prospective founders building in the AI era36:04 - Matt's recommendation: Patrick O'Shaughnessy's Invest Like the BestABOUT THE GUEST:Matt Ober is Managing Partner at Social Leverage, a seed-stage venture capital firm focused on fintech and vertical AI. Founded 17 years ago by Howard Lindzon (creator of StockTwits) and Tom Peterson, Social Leverage has invested across six funds, most recently closing an $85 million seed fund. Matt spent most of his career in public markets on the hedge fund side before joining Social Leverage.CONNECT WITH MATT:LinkedIn: https://www.linkedin.com/in/obermattj/Company: https://www.socialleverage.com/ABOUT DISAMBIGUATION:AI clarity for business leaders. New episodes every Wednesday.Host: Michael Fauscette, CEO & Chief Analyst at Arion ResearchAuthor of "Building the Digital Workforce"SUBSCRIBE & follow for weekly episodes on AI strategy, agentic AI, and enterprise technology.Website: https://www.disambiguationpod.com/Arion Research: https://www.arionresearch.com/LinkedIn: https://www.linkedin.com/in/mfauscette/#AI #ArtificialIntelligence #Fintech #VentureCapital #EnterpriseAI #VerticalAI #BackOffice #AIStrategy #Podcast

    37 min
  3. The Human Blind Spot: Why Trust Is Your Biggest Cybersecurity Vulnerability

    FEB 18

    The Human Blind Spot: Why Trust Is Your Biggest Cybersecurity Vulnerability

    Most cybersecurity breaches aren't caused by bad technology. They're caused by humans doing what humans are biologically wired to do: trust. Robert Siciliano explains why your biggest security vulnerability isn't in your firewall, it's in your people's wetware.In this episode, Michael Fauscette sits down with Robert Siciliano, bestselling author and cybersecurity expert, to discuss why traditional security awareness training is failing and how organizations can close the "security appreciation gap" by making cybersecurity personal.TIMESTAMPS: 00:00 - Introduction 01:04 - Robert's origin story: getting hacked in 1995 03:19 - The wetware vulnerability: what leaders miss about human security 05:06 - The human blindspot: why we're biologically wired to trust 07:32 - Why distrust is harder than trust 08:56 - The home security question that changes everything 12:13 - Security awareness vs. security appreciation 14:40 - The shift from knowing to caring 16:28 - The kitchen table effect: when security goes home with the employee 18:07 - Arms crossed to hands up: how body language reveals the shift 20:27 - "The only way to change minds is to change hearts" 21:26 - Making the case to the C-suite that all security is personal 24:39 - How AI, deepfakes, and voice cloning are reshaping the threat landscape 28:29 - The strategic human firewall: from passive targets to active detection 33:12 - Parenting, empathy, and what security training can learn from raising kids 35:22 - The 97/3 rule: good versus evil by the numbers 37:34 - Why compliance training is failing and what to do instead 47:26 - First steps for building a culture of security appreciation 51:41 - Robert's recommendation and closing thoughtsABOUT THE GUEST: Robert Siciliano is a #1 bestselling Amazon author, CEO of Safr.Me, and Head of Cyber Security Employee Training at Protect Now. With 30+ years in security, he is the architect of the Strategic Human Firewall and the CSI Protection certification, and has appeared on Good Morning America, CNN, Today Show, and Howard Stern.CONNECT WITH ROBERT: LinkedIn: https://www.linkedin.com/in/robertsiciliano Website: https://safr.me Protect Now: https://protectnowllc.comABOUT DISAMBIGUATION: AI clarity for business leaders. New episodes every Wednesday. Host: Michael Fauscette, CEO & Chief Analyst at Arion Research Author of "Building the Digital Workforce"SUBSCRIBE & follow for weekly episodes on AI strategy, agentic AI, and enterprise technology.Website: https://www.disambiguationpod.com/ Arion Research: https://www.arionresearch.com/ LinkedIn: https://www.linkedin.com/in/mfauscette/

    56 min
  4. Building Trust Through Empathy: How AI Companions Support Grief Work

    FEB 11

    Building Trust Through Empathy: How AI Companions Support Grief Work

    In this episode of Disambiguation, host Michael Fauscette sits down with John Kammer, founder of Guardian [AI]ngels, to explore how AI chatbots can serve as emotional support tools for people navigating grief and loss.After losing three of his closest friends, John struggled for over a decade with substance-fueled avoidance before accidentally discovering that building an AI persona based on his late best friend unlocked a breakthrough in his own healing. That personal experience became the foundation for Guardian [AI]ngels, a structured grief support tool built on Worden's Four Tasks of Mourning and developed with licensed therapists.In this conversation, we cover:🔹 Why interactive AI dialogue goes beyond traditional journaling for processing grief 🔹 How Guardian [AI]ngels complements therapy rather than replacing it 🔹 The ethical guardrails that prevent users from falling into delusion or unhealthy attachment 🔹 Why the AI never claims to be the lost loved one and how that distinction matters 🔹 The role of transparency and trust in building responsible AI companions 🔹 How AI can serve as a bridge to deeper human connection, not a substitute for it 🔹 Where we are on the journey of using AI for emotional wellness and what comes nextWhether you're curious about AI companions, interested in mental health technology, or exploring how AI can better the human condition beyond the workplace, this episode offers a thoughtful and personal look at what's possible.📌 Recommended by our guest: Look up Bill Thornberry on LinkedIn for insights on rethinking how we approach AI.📌 For more AI and software research, visit ArionResearch.com 📌 Want to be a guest? Email disambiguation@arionresearch.com

    46 min
  5. Vertical AI in Action: How One Insurance Company Transformed Go-To-Market, Underwriting, and Claims

    FEB 4

    Vertical AI in Action: How One Insurance Company Transformed Go-To-Market, Underwriting, and Claims

    What happens when you stop bolting AI onto existing processes and rebuild your entire company as an AI-native stack? Spanish insurtech Tuio went from industry-average 5% profit margins to 15%, with a 40% improvement in marketing conversion.In this episode of Disambiguation, I sit down with Juan Garcia, Co-founder and CEO of Tuio, to explore how his team re-engineered insurance from the ground up. We dig into:-Why vertical AI approaches deliver better results than horizontal tools in regulated industries • The "Customer DNA" concept: collecting hundreds of non-traditional data points to personalize pricing • How behavioral signals (like Apple vs. Android users, or browsing patterns) predict claims costs and fraud • The three levers driving transformation: growing more efficiently, underwriting smarter, and managing claims more effectively • Building named AI agents (Atum for marketing, Watson for claims) that suggest "next best actions" with confidence levels • Why human adjusters still make final decisions on payouts and rejections, even when AI confidence is 100% • Using MCP integrations to create always-on marketing optimization loopsJuan shares the insight that shifted Tuio's strategy: customer service is only 10% of costs, but claims and marketing are 85%. Focusing AI on better decision-making in these areas delivers 10x the impact of pure efficiency plays.Recommendation from Juan: Richard Fowler's work on behavioral economics, which is more relevant than ever as we examine how cognitive biases transfer from humans to AI systems.🔗 Learn more about Arion Research: https://arionresearch.com 📧 Want to be a guest? Email: disambiguation@arionresearch.comChapters: 0:00 - Introduction 1:24 - Juan's background and how Tuio started 5:14 - The underserved 25-55 demographic in insurance 8:07 - Digital-first approach and profit margin improvements 11:03 - From cost efficiency to better decision-making 14:56 - Re-engineering processes as an AI-native company stack 18:37 - Atum: The AI agent transforming marketing with MCP integrations 23:31 - Customer DNA and behavioral signals in underwriting 28:12 - Watson: Hybrid workflows in claims management 35:10 - Why vertical AI beats horizontal tools 37:25 - Scaling challenges: systems vs. expertise 39:33 - Juan's recommendation: Richard Fowler on behavioral economics

    41 min
  6. January 2026 AI Pulse

    JAN 28

    January 2026 AI Pulse

    Welcome to the first AI Pulse of 2026! Michael Fauscette and Tom Pringle explore the technical advances solving agentic AI challenges, privacy implications of personalized AI assistants, and the latest AI gadgets entering the market.IN THIS EPISODE:🎯 Enterprise AI Control Layers (00:03:30) • ServiceNow's positioning as the control layer for enterprise AI • The familiar cycle: single source of truth, data warehouses, and now AI governance • Why starting small beats building comprehensive data infrastructure first🧠 Solving the Context and Memory Problem (00:09:28) • MIT research on recursive language models • How massive context windows eliminate the need for separate memory systems • Why this approach is more elegant and accurate than RAG frameworks • The policy version problem and how organized context solves it🪙 Lead to Gold: Alchemy Actually Works (00:18:25) • Large Hadron Collider accidentally transmutes lead into gold • Medieval alchemists were right, just needed better tools • The catch: 29 trillionths of a gram worth 4.6 billionths of a dollar💰 OpenAI Adds Ads to Free ChatGPT (00:21:01) • Freemium friction and monetization strategies • Privacy concerns with contextual advertising in AI conversations • Google's commitment to keep Gemini ad-free (for now) • When targeted ads cross the creepy line🛡️ Teaching AI to Be Ethical (00:34:14) • Anthropic's Constitutional AI approach • Can you give a language model a constitution? • Reinforcement learning for values and ethical behavior • Why hallucinations expressed with confidence are dangerous🔐 The Privacy Trade-off (00:39:31) • Google's personal intelligence for Gemini • Giving AI access to photos, emails, and personal data • Where to draw the line: business files vs personal information • The accidental data leak risk with agentic systems💻 Claude Code for Desktop (00:47:48) • Building practical tools with AI assistance • Michael's AI readiness assessment automation project • Collaborative coding as hybrid work • When to worry about exceeding your understanding📱 The Search for the Perfect AI Gadget (00:52:19) • OpenAI's Gumdrop pen device • Voice-only, minimalist design with privacy controls • The challenge: why carry another gadget when your phone does it all? • Apple glasses rumor for 2026ABOUT THE GUESTS:Tom Pringle is Director of Pilot Research and recently announced his new role as co-founder of a purpose-led business with James Parks.KEY INSIGHTS: • Context and memory problems in agentic AI may have an elegant technical solution • Privacy trade-offs with AI assistants require careful consideration • Starting small with use cases beats waiting for perfect data infrastructure • The search continues for AI hardware that justifies carrying another deviceRESOURCES MENTIONED: • MIT recursive language models research • Anthropic Constitutional AI • ServiceNow AI platform strategy • OpenAI Gumdrop pen • Claude Code desktop appCONNECT WITH US: 🌐 Arion Research: https://arionresearch.com 📧 Guest inquiries: disambiguation@arionresearch.com 📰 Subscribe to The Digital Workforce newsletter 🔗 Take the AI Readiness Assessment: https://arionresearch.comLike, share, and subscribe to stay updated on the latest in AI strategy and enterprise transformation. New episodes every week!

    1h 1m
  7. When Machines Create: An IP Attorney's Perspective on AI Innovation

    JAN 21

    When Machines Create: An IP Attorney's Perspective on AI Innovation

    When AI systems help create inventions, who owns the intellectual property? Join us for a fascinating conversation with James Gourley, idea and brand protection attorney and partner at Carstens, Allen & Gourley LLP, as we explore the complex intersection of artificial intelligence and intellectual property law.What You'll Learn:USPTO's New Direction on AI Patents:- How current USPTO leadership is shifting toward more favorable treatment of AI-related inventions- The difference between AI-generated and AI-enabled inventions, and why it matters- How patent examiners now view AI as lab equipment rather than the inventor itselfCopyright in the Age of AI:- Why AI-generated content isn't currently protected by copyright- The New York Times vs. OpenAI case and what it means for training models- Fair use considerations when AI systems learn from copyrighted materialThe Future of Innovation Protection:- Should purely machine-generated innovations receive IP protection?- The role of human ingenuity in the patenting process- How drug discovery and R&D are pushing boundaries of traditional IP frameworksPolicy Questions Ahead:- When compute costs drop, do we still need IP monopolies for machine innovations?- Training AI on AI outputs: is it still human knowledge?- The tension between free market innovation and creator protectionJames brings 20 years of IP defense experience and a practical perspective on how these policy shifts affect innovators, tech companies, and creators. Whether you're building AI systems, creating content, or just trying to understand where innovation law is headed, this conversation offers critical insights.About Our Guest:James Gourley is a partner at Carstens, Allen & Gourley LLP, a 14-attorney IP boutique specializing in patents, trademarks, copyrights, and trade secrets. He focuses primarily on defending clients accused of IP infringement.Recommended Resource:James recommends the All-In Podcast for staying current on AI developments and tech trends.---Subscribe to Disambiguation for weekly conversations with AI and automation experts helping business leaders understand how to use these tools for maximum impact.Connect with Arion Research:- Website: https://arionresearch.com- Newsletter: The Digital Workforce at digitalworkforce.work- Want to be a guest? Email: disambiguation@arionresearch.com---Timestamps:0:00 - Introduction2:00 - USPTO's approach to AI inventions4:24 - AI-generated vs AI-enabled inventions7:17 - Copyright lawsuits and training models17:42 - Fair use and the chemist analogy24:53 - Software patents and policy shifts33:43 - Future of IP protection for AI innovations37:04 - Training AI on AI outputs39:28 - Recommendations and closingEpisode: When Machines Create: An IP Attorney's Perspective on AI InnovationGuest: James Gourley, Partner at Carstens, Allen & Gourley LLPHost: Michael Fauscette, Founder of Arion Research

    40 min
  8. ChatGPT Isn't Your Strategy: What Business Leaders Get Wrong About AI

    JAN 14

    ChatGPT Isn't Your Strategy: What Business Leaders Get Wrong About AI

    Most companies are making a critical mistake with AI: treating ChatGPT and other large language models as the end goal instead of recognizing them as features within a broader enterprise strategy. In this episode, host Michael Fauscette talks with Professor Antonio Pace from UT Dallas about the disconnect between individual AI tools and true enterprise AI transformation.What You'll Learn: • Why ChatGPT is a feature, not a complete enterprise solution • How to integrate AI into your workflows, not just individual tasks • Why "prototype paralysis" keeps companies stuck in the science fair • The energy crisis threatening AI scalability • How quantum computing could solve AI's biggest infrastructure challenges • Real-world quantum computing applications already in production • Practical steps for building an effective AI strategy in your organizationAntonio Pace brings over 30 years of industry experience and currently serves as Director of the AI and Business Analytics program at UT Dallas. He shares insights from his work consulting with global AI solutions companies and teaching quantum computing applications.Key Topics Covered:-Enterprise AI vs. Individual AI Tools (3:15)-The Training Gap in AI Adoption (8:42)-Moving Beyond Prototypes to Implementation (12:30)-AI's Energy Problem and Infrastructure Needs (28:45)-Quantum Computing: The Next Leap Forward (35:20)Practical Quantum Applications Today (42:10)About Disambiguation: Each week, we interview experts in artificial intelligence, generative AI, and business automation to help business leaders understand how to use these tools for maximum business impact.🔔 Subscribe for weekly insights on AI strategy and implementation 👍 Like this video if you found it valuable 💬 Comment with your biggest AI implementation challengeConnect With Us: • More research on AI and software: arionresearch.com • Guest inquiries: disambiguation@arionresearch.com • Host: Michael Fauscette

    48 min
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"Disambiguation is the process of removing confusion around terms that express more than one meaning and can lead to different interpretations of the same string of text." Host Michael Fauscette of Arion Research; a leading technology analyst, tech startup advisor, consultant, board member, and storyteller; and his guests "remove the confusion around" artificial intelligence (AI), generative AI and business automation by looking at the business solutions available today to improve business outcomes and gain competitive advantage. 

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  • Creator
    Michael Fauscette
  • Years Active
    2023 - 2026
  • Episodes
    125
  • Rating
    Clean
  • Copyright
    ©️All Rights Reserved
  • Show Website
    Disambiguation