Disambiguation

Michael Fauscette
  • 5.0 (1)
  • TECNOLOGÍA
  • CADA SEMANA

"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. AI Without Compromise: Why Data Sovereignty Is the Next Enterprise Battleground

    HACE 21 H

    AI Without Compromise: Why Data Sovereignty Is the Next Enterprise Battleground

    In this episode of the Disambiguation podcast, host Michael Fauscette talks with Clayton Bryan, Head of Enterprise at Quill, about why data sovereignty is becoming the defining issue for enterprise AI adoption and why most companies are on the wrong side of the trend.Clayton spent a decade as an early-stage investor at 500 Global before joining Quill, where he leads enterprise strategy. Quill's architecture is built local-first: audio transcription never leaves your device, and enterprise clients can bring their own LLM stack so that all data stays under their control. Clayton explains why this matters for regulated industries from defense to healthcare to financial services, how CISOs are becoming advocates once they understand the architecture, and why bolt-on governance will always leave gaps.The conversation covers why ChatGPT has a "professional trust deficit," why the line between enterprise and personal AI is dissolving, how Quill's agent (Quilliam) automates post-meeting workflows like CRM updates and project management tickets, and why data sovereignty is on the same trajectory as HTTPS -- optional today for some, table stakes tomorrow for all.Timestamps:00:00 - Introduction00:44 - Clayton's journey from 500 Global investor to joining Quill03:48 - "AI without compromise" -- what that actually means04:22 - Local-first architecture: audio never leaves your device06:45 - Air-gapped deployments and who needs them08:17 - GDPR demand and the EU enterprise tour09:28 - Convenience vs. compliance: the real tradeoff10:38 - Bottom-up adoption: when CISOs investigate and become advocates12:34 - Why bolt-on governance is broken14:28 - Governance by design at machine speed14:57 - Investor-founders who understand what enterprise buyers actually need17:11 - ChatGPT's "professional trust deficit"19:31 - The dissolving line between enterprise and personal AI20:48 - Beyond transcription: automating post-meeting workflows with Quilliam24:27 - AI and the future of work: new skills, new opportunities27:18 - Vibe coding: prototypes vs. production30:13 - The future: local-first as minimum standard, not premium option31:57 - Data sovereignty is the next HTTPS33:12 - Recommendation: Matthew BermanGuest: Clayton Bryan, Head of Enterprise, QuillHost: Michael Fauscette, CEO & Chief Analyst, Arion ResearchSubscribe and turn on notifications so you never miss an episode.

    35 min
  2. AI Is the Biggest Distraction in Sales: Why the Hard Work Is Still Human

    29 ABR

    AI Is the Biggest Distraction in Sales: Why the Hard Work Is Still Human

    In this episode of the Disambiguation podcast, host Michael Fauscette sits down with Dr. Deepak Bhootra, Founder of RISEUP Career Studio, for a candid conversation about why AI is creating an illusion of progress in sales while the real, hard work remains deeply human.With 30 years in sales, a doctoral degree studying job satisfaction and organizational commitment, and an ICF coaching certification, Deepak brings a unique lens to the collision between AI hype and sales reality. He explains why salespeople use AI for the easy stuff like drafting emails but avoid using it for the hard stuff like self-reflection and honest deal analysis. He unpacks the "seductive" nature of AI output that makes activity feel like progress, the rise of individual shadow IT stacks where top reps spend $300 a month on personal tools they refuse to share, and why automating a broken process just scales the brokenness faster.Deepak also introduces RISEUP Career Studio, his platform designed to help early-career professionals (ages 21-35) build the judgment, self-reflection, and career navigation skills that no college degree teaches and no AI can replace.Timestamps:00:00 - Introduction00:45 - Deepak's 30-year sales journey and why he founded RISEUP04:08 - "AI is the biggest distraction" in sales06:37 - Why salespeople will never admit AI made them better07:58 - How sales leaders should reframe AI adoption10:16 - The cold email nightmare: 12,000 to 62,000 emails, same revenue12:05 - AI-written LinkedIn profiles are sending false signals14:35 - Shadow IT goes personal: reps building their own AI stacks18:35 - Why top reps refuse to share their prompts20:23 - The ethics of presenting AI output as your own work23:42 - 70% transformation failure and the vision-to-execution gap26:31 - "Scaling stupidity": when AI automates broken processes29:13 - The black box trust problem in sales AI31:31 - Using generative AI to demystify predictive AI36:01 - RISEUP Career Studio: structured guidance for early careers44:56 - The future of sales will be more human, not less48:20 - Generic sellers are the next geriatrics50:07 - Recommendations: Suresh Vasu, Mark Finnick, Ethan MollickGuest: Dr. Deepak Bhootra, Founder, RISEUP Career StudioHost: Michael Fauscette, CEO & Chief Analyst, Arion ResearchSubscribe and turn on notifications so you never miss an episode.

    53 min
  3. From Human in the Loop to Human in the Lead: The Road to Autonomic IT

    22 ABR

    From Human in the Loop to Human in the Lead: The Road to Autonomic IT

    Most enterprises think they are ready for autonomous IT. Most are not. And frankly, they should not pretend they are.In this episode, Michael Fauscette sits down with Brian Amaro, Vice President of Customer Value and Partner Strategy at ScienceLogic, to map the real journey from reactive, siloed IT operations to autonomic IT. Brian shares the maturity progression his team built from hundreds of Fortune 500 engagements, the 15% adoption rate story that exposes the biggest misconception about AI in IT ops, and why the first win is never self-healing. It is better judgment under pressure.TIMESTAMPS:00:00 - Introduction01:03 - Brian's Background and What ScienceLogic Does02:51 - Why AI Can't Be Bolted On: ScienceLogic's Ground-Up Rebuild04:55 - Autonomic IT: Where Are We Really on the Journey?07:20 - Assisted Autonomy Is Real; Broad Autonomy Is Not a Day One Strategy09:23 - Human in the Loop to Human in the Lead: The Trust Progression10:05 - Trust Formation, Not Speed: Where Most AI Adoption Goes Wrong10:53 - The 15% Adoption Rate Story: Why Engineers Resisted AI12:19 - Human on the Loop: Supervising Outcomes, Not Approving Actions12:41 - Human in the Lead: Defining Intent, Not Controlling Tasks13:59 - Moving Past the Approval Trap: Policy-Based Control16:19 - Skylar Advisor: From "What Fired" to "What Matters"19:31 - Why Observability, AI, Automation and Compliance Must Be One Platform22:05 - What Analyst Recognition Tells Us About Where the Market Is Heading24:09 - AI Governance by Design: Guardrails, Auditability, and Transparency27:13 - Real-World Customer Journey: From Reactive Ops to Governed Automation30:17 - The First Win Is Not Self-Healing: It Is Better Judgment Under Pressure31:00 - The Hybrid Workforce in IT Ops: Better Leverage, Not Fewer Engineers33:56 - The 2-3 Year Outlook: AI as Operating Model, Not Feature Rollout36:13 - Don't Wait for Perfect Data: Start Where the Pain Is High37:15 - Brian's Recommendation: Ethan Mollick's Co-Intelligence38:30 - Wrap-UpABOUT THE GUEST:Brian Amaro is the Vice President of Customer Value and Partner Strategy at ScienceLogic, where he has spent years working across customer strategy, advisory, and operational transformation. A certified Project Management Professional (PMP) with 30 years of experience, Brian helped build ScienceLogic's maturity model drawn from over 300 Fortune 500 customer engagements.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/

    39 min
  4. The Intelligence Model: Why Your Organization Needs a Map Before It Deploys AI

    15 ABR

    The Intelligence Model: Why Your Organization Needs a Map Before It Deploys AI

    Most companies jump straight to AI use cases. They pick the hottest tools, launch pilots, and wonder why nothing scales. The problem isn't the technology. It's that they don't have a map of how work and decisions actually move through their organization.In this episode, Michael Fauscette sits down with Minyang Jiang (MJ), Chief Strategy & Revenue Officer at Credibly, to unpack what she calls the Intelligence Model: a framework for understanding where AI excels, where humans still lead, and why the scarcity models that shaped how businesses operate for decades are now being fundamentally challenged by AI's abundance. MJ also shares hard-won lessons from leading AI transformation at a fintech lending company, including why friction is something leaders should protect, not eliminate.TIMESTAMPS:00:00 - Introduction01:16 - MJ's Path: From Ford Motor Company to Fintech AI Transformation03:17 - Why System-Level AI Change Is So Hard for Real Businesses06:52 - The Intelligence Model: Mapping Work Before You Automate It09:05 - The Scarcity Problem: Decisions Built Around Human Limits10:34 - Where Humans Still Beat AI: Prioritization, Decisioning, and Intuition13:17 - Why Human-AI Collaboration Still Produces the Best Results15:52 - The Awkward Teenage Phase of AI Agents18:32 - AI Has No Mental Model: The Adjacency of Expertise Problem22:23 - Credibly AI: Patented AI Underwriting and Industry Classification27:01 - The Explainability Tension: Complexity vs. Customer Trust29:39 - Change Management: The Crowd, the Lab, and the Leader33:35 - The Balloon Effect: Why AI Productivity Creates More Work, Not Less37:19 - Human in the Loop to Human in the Lead: The Trust Progression42:10 - Agent-to-Agent Commerce: Redesigning for Machine Buyers45:37 - What Leaders Should NOT Do: The Case for Intentional Friction48:48 - MJ's Recommendations: Stefano Bertoni and Lenny's Newsletter49:51 - Wrap-UpABOUT THE GUEST:Minyang Jiang (MJ) is the Chief Strategy & Revenue Officer at Credibly, a fintech lending company, where she leads the AI transformation and innovation team. Her career spans Ford Motor Company's marketing program, founding the Go Ride Health startup within Ford's mobility division, and building cross-functional AI adoption strategies in financial services.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/

    51 min
  5. Securing the Agentic Coding Era: When AI Writes Code, Who Guards the Gate?

    9 ABR

    Securing the Agentic Coding Era: When AI Writes Code, Who Guards the Gate?

    Up to 30% of enterprise code is now AI-generated. Microsoft's CTO projects 90% by 2030. But here's the problem: AI coding tools are optimized for speed and functionality, not security. Research shows AI-assisted development introduces roughly 45% more bugs and 40% more security vulnerabilities. And only 13% of AI-generated code is attributed back to a developer.So who's accountable? And who guards the gates?In this episode, Michael Fauscette sits down with Nir Valtman, co-founder and CEO of Arnica, to unpack why the speed gains from agentic coding come with hidden security costs, how to move from "vibe coding" to viable coding, and what a mature, secure AI-assisted development workflow actually looks like.TIMESTAMPS:00:00 - Introduction00:43 - Nir Valtman's Journey: From Hacker to Security CEO03:08 - The SolarWinds Turning Point06:02 - The Hidden Risk of AI-Generated Code08:17 - 45% More Bugs, 40% More Vulnerabilities: The Research09:00 - The Attribution Problem: Only 13% Traced to Developers10:00 - The Hidden Cost of Faster Code Generation10:50 - Guiding Coding Agents to Write Secure Code12:55 - Why Security at the Model Level Is Cost-Prohibitive15:16 - Arnica's Agentic Rules Enforcer and AI SAST20:33 - Pipeline-Based vs. Event-Driven Security Scanning24:00 - From Vibe Coding to Viable Coding24:57 - The Vision: Autonomous Software Development Done Right27:40 - Where Humans in the Loop Still Matter29:55 - What Keeps a Security CEO Up at Night32:02 - The Cost Challenge of Enterprise-Scale AI Scanning35:15 - Agents as a Digital Workforce for Development35:57 - Where CISOs Should Start Right Now38:23 - Governance by Design Meets AppSec41:13 - Nir's Recommendation: The Acquired Podcast42:35 - Wrap-UpABOUT THE GUEST:Nir Valtman is the co-founder and CEO of Arnica, a software supply chain security company. He holds seven patents in software security and has held security leadership roles including CSO at Kabbage and VP of Security at Nostra. Nir brings a hacker's mindset to enterprise application security.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/

    43 min
  6. The Missing Layer: Why Your AI Agents Need a Governance Plane

    1 ABR

    The Missing Layer: Why Your AI Agents Need a Governance Plane

    Your AI agents are running. But can you go to sleep at night knowing they won't send 3,000 emails to the same person, run up a $3,000 bill overnight, or give away refunds your business can't afford?In this episode, Michael Fauscette sits down with Logan Kelly, CEO of Waxell AI, to explore why governance for agentic systems is not observability, not guardrails, and not something you bolt on after deployment. It's a dedicated plane that has to be there from the start.TIMESTAMPS:00:00 - Introduction00:45 - Logan's journey from CallSine (autonomous sales agents) to Waxell AI03:55 - What a governance plane actually does and why the distinction matters07:06 - Why "we'll deal with governance later" is a dangerous bet09:34 - 26 governance categories and 200-300 policies per agent fleet10:20 - Deterministic observability vs. probabilistic agent governance13:14 - Failure modes don't have to be terminal: the manager-employee model14:05 - The Gong analogy: why agents need real-time coaching, not post-game review16:42 - Making governance accessible to non-engineers18:12 - Real-time semantic interception: filtering outputs before they reach the customer21:17 - The air traffic controller analogy: governing upstream, not at the gate23:11 - Business operations teams setting agent policies without writing code25:43 - Digital employees: why business leaders need to be in the governance loop28:00 - "Go to sleep at night" as the real value proposition of governance29:47 - MCP layer security vulnerabilities and the rug pull attack31:16 - Governance by design: building it into infrastructure from day one34:07 - How governance actually makes agents faster and more creative35:31 - Protecting customer experience and brand at machine speed39:29 - The next 12-18 months: autonomy at scale vs. co-work at scale43:02 - Thought leader recommendation: Dharmesh Shah (HubSpot)ABOUT THE GUEST:Logan Kelly is the CEO of Waxell AI, a governance plane for agentic systems. Previously, he founded CallSine, an AI-driven sales engagement platform that deployed fully autonomous agents, where he experienced firsthand the cost, quality, and security challenges that emerge when agents operate without a governance layer. That experience drove him to build the infrastructure that lets organizations run agents safely at scale.CONNECT WITH LOGAN:LinkedIn: https://www.linkedin.com/in/logankkelly/Company: https://www.waxell.ai/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 #AgenticAI #AIGovernance #EnterpriseAI #AIStrategy #AIAgents #Podcast

    45 min
  7. March 2026 AI Pulse

    26 MAR

    March 2026 AI Pulse

    A US AI company designated a supply chain risk by its own government. An executive order to override state AI regulation. A paper that stunned the math world. March was one of the most consequential months in AI yet.In this episode, Michael Fauscette and co-host Tom Pringle break down the biggest AI stories of March 2026, from the Anthropic-DoD standoff and its fallout, to OpenAI's GPT-5.4, NVIDIA's Vera Rubin platform, Yann LeCun's world models startup, Gemini's Apple partnership, the state of AI regulation on both sides of the Atlantic, and why governance by design isn't optional anymore.TIMESTAMPS:00:00 - Introduction01:05 - Anthropic vs. the Department of Defense: Supply Chain Risk Designation06:15 - The #UninstallChatGPT Movement and Claude's Surge08:20 - Red Lines: Autonomous Weapons and Mass Surveillance14:45 - OpenAI GPT-5.4 and Autonomous Multi-Step Workflows17:50 - Governance by Design: Why After-the-Fact Doesn't Work at Machine Speed23:20 - Rethinking Corporate Structure for a Hybrid Workforce25:15 - NVIDIA Vera Rubin: 10x Performance Per Watt Over Blackwell28:10 - Yann LeCun Leaves Meta, Launches World Models Startup33:48 - Gemini 3.1 Pro, Apple Intelligence, and the Model Race43:25 - Donald Knuth's "Cloud Cycles" Paper: Claude Opus 4.6 Stuns Mathematicians45:55 - AI Regulation: Trump's Executive Order vs. EU AI Act Delays53:00 - Cool Tech: Lego's AI-Powered Smart Brick57:35 - Wrap-UpABOUT THE CO-HOST:Tom Pringle is Director of Pilot Research, bringing a sharp, skeptical perspective on AI hype and a deep background in enterprise technology.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/

    58 min
  8. The Human Operating System: Why People Infrastructure Is the Missing AI Investment

    25 MAR

    The Human Operating System: Why People Infrastructure Is the Missing AI Investment

    We spend millions upgrading our technology infrastructure. We budget for servers, software, security. But what if the most critical infrastructure in your organization has no line item at all?In this episode, Michael Fauscette sits down with Barbara Wittmann, Founder of Digital Wisdom Collective, to explore why "human infrastructure" should be on every CIO's budget, why change management is an outdated concept, and what it actually takes to prepare people for AI at the speed the technology demands.TIMESTAMPS:00:00 - Introduction00:48 - Barbara's 25 years rescuing broken digital transformations02:46 - The moment she decided to flip the equation03:54 - Human infrastructure: what it includes and why it belongs on the IT budget05:23 - Why AI failures are almost always human failures06:10 - Change management is dead; continuous upgrade is what works07:15 - Lessons from SAP's Business Process Renovation team and Hasso Plattner10:03 - Why workers still keep Excel backups next to their enterprise systems11:39 - Survival of the wisest: wisdom vs. knowledge in the AI era14:58 - Wayfinding artifacts: shared maps that give organizations a compass17:52 - Adaptive agency: the skill nobody is training for20:58 - Human in the lead, not human in the loop22:26 - Values-based AI governance and the ego problem25:17 - The biggest breaking point is on the human side, not the tech side28:44 - What 5,000+ IT leaders say about their AI adoption struggles31:36 - Continuous upgrade: why one-and-done transformation is broken34:12 - Judgment as the fastest-eroding human capability37:09 - Thought leader recommendation: Unreasonable Hospitality by Will GuidaraABOUT THE GUEST:Barbara Wittmann is the Founder of Digital Wisdom Collective, where she helps organizations upgrade their human infrastructure for the AI era. With 25 years of experience rescuing broken digital transformation projects, including work on SAP's Business Process Renovation team alongside Hasso Plattner, Barbara brings a practitioner's perspective on why technology is rarely the problem and people always are.CONNECT WITH BARBARA:LinkedIn: https://www.linkedin.com/in/barbarawittmann/Company: Digital Wisdom CollectiveABOUT 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 #HumanInfrastructure #ChangeManagement #AIGovernance #DigitalTransformation #Leadership #EnterpriseAI #Podcast

    40 min
Ver todo (135)

Tráiler

Calificaciones y reseñas

Acerca de

"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. 

Información

  • Creador
    Michael Fauscette
  • Años de actividad
    2023 - 2026
  • Episodios
    135
  • Clasificación
    Apto
  • Copyright
    ©️All Rights Reserved
  • Mostrar sitio web
    Disambiguation

También te podría interesar