Disambiguation

Michael Fauscette

"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 Trust Through Empathy: How AI Companions Support Grief Work

    1D AGO

    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
  2. 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
  3. 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
  4. 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
  5. 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
  6. Welcome to Season 4!

    JAN 8

    Welcome to Season 4!

    Welcome to Season 4 of the Disambiguation Podcast! Join your host, Michael Fauscette, as he dives into the latest developments in artificial intelligence, generative AI, and business automation. In this episode, we kick off the new year with exciting insights and updates on the rapidly evolving landscape of agentic AI.Michael discusses key news items, including the formation of the Agentic AI Foundation by the Linux Foundation, the current state of enterprise agentic AI adoption, and the implications of a recent study comparing AI agents to human collaboration. He also highlights a groundbreaking 3D chip breakthrough from Stanford that could revolutionize AI performance.Looking ahead, Michael shares a sneak peek of upcoming episodes featuring expert guests discussing topics such as AI innovation and intellectual property, hybrid workforce strategies, and the challenges of privacy in agentic AI.Don't miss out on this informative episode packed with valuable insights for business leaders and AI enthusiasts alike!Timestamps:00:00 - Introduction00:30 - Season 4 kickoff02:09 - Agentic AI Foundation announcement04:10 - Enterprise agentic AI adoption statistics09:04 - Stanford's 3D chip breakthrough10:56 - AI agents vs. human collaboration study13:22 - Upcoming episode topics18:08 - ConclusionSubscribe to stay updated on the latest in AI and business automation! If you enjoy the show, please leave us a review and share it with others.For more research on AI and other software, visit arionresearch.com. If you're an expert in AI, generative AI, or business automation, reach out to us at disambiguation@arionresearch.com.Join us next week for more exciting discussions on the Disambiguation Podcast!

    20 min
  7. The State of Agentic AI in 2025: A Year-End Reality Check

    12/30/2025

    The State of Agentic AI in 2025: A Year-End Reality Check

    Welcome to the year-end special of Disambiguation, hosted by Michael Fauscette! In this final episode of Season 3, we take a deep dive into the significant developments in artificial intelligence and generative AI throughout 2025.Join us as we explore:-The evolution of foundation models and the impact of OpenAI's GPT-5 and Google's Gemini 3 Pro.-Real-world applications of agentic AI in customer service, code generation, and back-office operations.-The challenges businesses faced, including reliability, integration, and cost considerations.-Insights into multi-agent systems and the importance of governance and trust in AI deployment.Michael shares key lessons learned from the past year, highlighting what worked, what didn’t, and what surprised him in the rapidly evolving landscape of AI. Whether you're a business leader or an AI enthusiast, this episode provides valuable insights to help you navigate the future of AI in your organization.Tune in for a comprehensive review of 2025 and get ready for what lies ahead in 2026! Don't forget to subscribe for more episodes on AI, generative AI, and business automation.

    56 min
  8. December 2025 AI Pulse

    12/23/2025

    December 2025 AI Pulse

    Welcome to the December edition of AI Pulse on Disambiguation! Join host Michael Fauscette and co-host Tom Pringle as they dive into the latest trends and predictions in artificial intelligence, generative AI, and business automation.In this episode, we reflect on the advancements in AI models, including Gemini 3 Pro, Claude 4.5, and OpenAI's 5.2, sharing personal experiences and insights on their capabilities. We also explore the concept of enterprise memory and its potential impact on customer experience, discussing the importance of trust and security in AI interactions.As we wrap up Season 3, Michael and Tom share their predictions for the future of AI, including the rise of agentic AI, the need for agent operations (AgentOps), and the challenges of data management and ROI. They also touch on the potential for cross-agent reputation systems and the implications of AI fatigue in the industry.Tune in for an engaging conversation filled with expert insights, predictions, and a look at the future of AI in business!Topics Covered:-Latest AI model advancements-Enterprise memory and customer experience-Predictions for AI trends in the coming year-The importance of trust and security in AI-The rise of AgentOps and cross-agent reputation systemsDon't forget to like, subscribe, and hit the notification bell for more episodes on AI and business automation!

    55 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. 

Information

  • Creator
    Michael Fauscette
  • Years Active
    2023 - 2026
  • Episodes
    122
  • Rating
    Clean
  • Copyright
    ©️All Rights Reserved
  • Show Website
    Disambiguation