Podcasts about Knowledge management

Salum Abdul-Rahman: The SECI Model of Knowledge Management Applied to Team Retrospectives Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. Salum explains how the key role for Scrum Masters is to help teams develop themselves to the point where they can learn and grow without constant guidance. Success means building team resilience and operational capability while knowing when to step back. He emphasizes the importance of recalibration workshops to maintain shared understanding and the balance between supporting teams and challenging them to become self-sufficient. When teams reach this level of maturity, Scrum Masters can focus their efforts elsewhere, knowing the team has developed the capability to continue evolving independently. Featured Retrospective Format for the Week: The 5-Stage Retro Format From the book "Agile Retrospectives," this format captures the complete learning process and aligns beautifully with knowledge management principles. Salum connects the three central phases of this format to the SECI model of knowledge management, particularly referencing Nonaka and Takeuchi's work in "The Knowledge Creating Company." This retrospective structure helps teams create new knowledge and behavioral change by following a systematic approach that transforms individual insights into collective team learning and action. In this segment, we also refer to the seminal article by Takeuchi and Nonaka: “The New New Product Development Game”, which originated the work on Scrum as a framework.  Self-reflection Question: How do you recognize when your team has developed enough self-sufficiency that your role as facilitator can evolve or step back? [The Scrum Master Toolbox Podcast Recommends]

Enterprise Knowledge's Lulit Tesfaye, VP of Knowledge & Data Services, speaks with Dawn Brushammar, currently an independent KM consultant, advisor, and frequent contributor at industry events. She has spent her 25+ year career connecting people to relevant knowledge and information. Her experience across industries and geographies includes leading an internal Knowledge Management team at McKinsey and Company, building databases for the Oprah Winfrey Show, running research services for a division of American Express, and managing academic librarianship at several universities and an environmental and sustainability research institute. In their conversation, Lulit and Dawn discuss the similarities between their early career paths and KM journeys, the evolving role of the modern librarian, and how KM and semantics support AI technologies. They also define what a "knowledge-first organization" should look like, and touch on Dawn's upcoming talk at the Semantic Layer Symposium on the rising importance of library science to the Semantic Layer.To learn more about the Semantic Layer Symposium, check it out here: ⁠https://semanticlayersymposium.com/⁠ *25% off discount code: knowledgecastTo learn more about Enterprise Knowledge, visit us at: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠enterprise-knowledge.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.EK's Knowledge Base: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://enterprise-knowledge.com/knowledge-base/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Contact Us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://enterprise-knowledge.com/contact-us/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/enterprise-knowledge-llc/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter/X: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/ekconsulting⁠⁠⁠

Hosted by David Cowen | Presented by Steno Live from the floor at ILTACON 2025, in this rich, retrospective conversation, Phil Bryce, longtime legal Knowledge Management leader and strategist - traces the evolution of legal tech from the dawn of email to today's GenAI disruption. But this episode is about more than just tech. Phil shares hard-earned lessons on connection, courage, and how relationships made 20 years ago still shape his career today. If you're navigating what's next or building your place in this industry, Phil's story is a masterclass in going far together. Key Topics Covered: What GenAI means now and how it echoes the early days of legal tech How Knowledge Management, strategy, and innovation emerged from organized chaos The power of connection: how one lunch sparked a 20-year peer network Why today's best opportunities aren't in job descriptions, you create them “Follow the joy”: Phil's framework for building a career worth having How courage and curiosity created the career he didn't know he was building The future of legal tech leadership and why thinking like a managing partner matters This Episode is presented by Steno: Smarter transcripts. Faster delivery. Built for modern legal teams.

Discover how AI is revolutionizing Personal Knowledge Management (PKM). Join Thanh and Brooks as they discuss their evolving PKM systems, exploring new AI-first tools, the future of Evernote, and the impressive AI capabilities within Obsidian. Learn when to embrace new AI tools and when to stick with proven systems for maximum productivity. Sign up for […]

In this episode of the Real Estate Pros podcast, host Kristen Knapp interviews Ryan Pease, founder of SOP Mojo, about the importance of streamlining business operations through effective documentation and systems. Ryan shares his insights on the gaps he identified in the market, the difference between systems and automation, and the critical role of documentation in achieving efficiency and consistency in business processes. He discusses his journey in starting SOP Mojo, the significance of maintaining systems, and the tools available for knowledge management. Ryan also outlines his future plans for expanding his business and offers valuable resources for listeners. Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind:  Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply   Investor Machine Marketing Partnership:  Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true ‘white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com   Coaching with Mike Hambright:  Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike   Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a “mini-mastermind” with Mike and his private clients on an upcoming “Retreat”, either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas “Big H Ranch”? Learn more here: http://www.investorfuel.com/retreat   Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform!  Register here: https://myinvestorinsurance.com/   New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club   —--------------------

In this episode of KP Unpacked, the #1 podcast in AEC, Jeff Echols sits down with Chris Parsons, founder and CEO of Knowledge Architecture, to explore why knowledge management (KM) is no longer just an IT function—it's a strategic currency for AEC firms.Chris shares his 15-year journey building Synthesis, a knowledge platform purpose-built for AEC, and how today's KM 3.0 (powered by AI) is reshaping how firms capture, share, and scale what they know. From navigating firm growth to managing M&A, this conversation covers what it really takes to design a smarter business.

Send us a textCanada's healthcare system, once the crown jewel of our national identity, now faces an unprecedented crisis. Emergency rooms overflow with patients waiting hours for care, while millions struggle to find a family doctor. The healthcare professionals we depend on are burning out at alarming rates, caught in a system that seems increasingly unable to meet the complex needs of Canadians.But what if we're looking at the problem all wrong? What if the solution isn't just about more funding, more beds, or more doctors? Abbas Zavar MD, from the University of Toronto's Institute of Health Policy, Management and Evaluation suggests a paradigm shift – one that leverages the power of personalized medicine and artificial intelligence to transform how care is delivered.Through groundbreaking research, Zavar explores how we might collect and consolidate medical data from numerous sources using AI, applying sophisticated knowledge management methodologies to transform data and information into actionable insights. This approach wouldn't just benefit individual patients through more tailored care – it could fundamentally reduce strain on the entire system by improving outcomes, enhancing efficiency, and boosting patient satisfaction.From overcrowded emergency rooms to remote rural healthcare areas, from fragmented provincial systems to the mounting pressures of an aging population, we examine the challenges facing Canadian healthcare and the innovative approaches that could chart a path forward. Whether you're a healthcare professional, policy maker, or simply a concerned Canadian, this conversation offers a compelling vision for how we might preserve the universal, accessible care that defines us as a nation.Subscribe now and join us for "Making it Personal" – an episode that might just change how you think about the future of healthcare in Canada.Blog Post for this episodeThe music for this episode, Out There, is performed by our current artist in residence, #TracyJones from his album #LuckyTimeYou can find out more about Tracy by visiting the Blog Post for his episodeKnowledge Management Institute of CanadaFrom those who know to those who need to knowWorkplace Innovation Network for CanadaEvery Graduate is Innovation-Enabled; Every Employee can Contribute to InnovationDisclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the showreview us on Podchaser Show website - https://fwiw.buzzsprout.comFollow us on:Show Blog Face Book Instagram: Support usEmail us: fwiw.thepodcast@gmail.com

Interview with Steven Johnson Amazon buys Bee AI wearable that listens to everything you say Lovable becomes a unicorn with $200M Series A just 8 months after launch | TechCrunch (21) Jeff Wang on X: "To put it mildly, the past week at Windsurf has been crazy. There have been a lot of different rumors and reports, so I want to share a transparent account of how it actually went down. Before I start, I just want to say that Varun and Douglas were great founders and this" / X Thinking Machines Lab Raises $2 Billion at $10 Billion Valuation The Epic Battle for AI Talent—With Exploding Offers, Secret Deals and Tears OpenAI partners with Oracle to built out 4.5 gigawatts in data center capacity SoftBank and OpenAI's $500 Billion AI Project Struggles to Get Off Ground (21) Alexander Wei on X: "1/N I'm excited to share that our latest @OpenAI experimental reasoning LLM has achieved a longstanding grand challenge in AI: gold medal-level performance on the world's most prestigious math competition—the International Math Olympiad (IMO)." / X It's rude to show AI output to people | Alex Martsinovich Trump's AI Action Plan Is a Crusade Against 'Bias'—and Regulation Elon Musk's xAI tried to teach Grok how to be human — by recording its own workers' faces A new study just upended AI safety 'I destroyed months of your work in seconds' says AI coding tool after deleting a dev's entire database during a code freeze: 'I panicked instead of thinking' Tesla results Total Party Kill Twin Peaks as it is meant to be seen Attack of the clever crows Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Steven Johnson Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: smarty.com/twit agntcy.org

Interview with Steven Johnson Amazon buys Bee AI wearable that listens to everything you say Lovable becomes a unicorn with $200M Series A just 8 months after launch | TechCrunch (21) Jeff Wang on X: "To put it mildly, the past week at Windsurf has been crazy. There have been a lot of different rumors and reports, so I want to share a transparent account of how it actually went down. Before I start, I just want to say that Varun and Douglas were great founders and this" / X Thinking Machines Lab Raises $2 Billion at $10 Billion Valuation The Epic Battle for AI Talent—With Exploding Offers, Secret Deals and Tears OpenAI partners with Oracle to built out 4.5 gigawatts in data center capacity SoftBank and OpenAI's $500 Billion AI Project Struggles to Get Off Ground (21) Alexander Wei on X: "1/N I'm excited to share that our latest @OpenAI experimental reasoning LLM has achieved a longstanding grand challenge in AI: gold medal-level performance on the world's most prestigious math competition—the International Math Olympiad (IMO)." / X It's rude to show AI output to people | Alex Martsinovich Trump's AI Action Plan Is a Crusade Against 'Bias'—and Regulation Elon Musk's xAI tried to teach Grok how to be human — by recording its own workers' faces A new study just upended AI safety 'I destroyed months of your work in seconds' says AI coding tool after deleting a dev's entire database during a code freeze: 'I panicked instead of thinking' Tesla results Total Party Kill Twin Peaks as it is meant to be seen Attack of the clever crows Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Steven Johnson Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: smarty.com/twit agntcy.org

Interview with Steven Johnson Amazon buys Bee AI wearable that listens to everything you say Lovable becomes a unicorn with $200M Series A just 8 months after launch | TechCrunch (21) Jeff Wang on X: "To put it mildly, the past week at Windsurf has been crazy. There have been a lot of different rumors and reports, so I want to share a transparent account of how it actually went down. Before I start, I just want to say that Varun and Douglas were great founders and this" / X Thinking Machines Lab Raises $2 Billion at $10 Billion Valuation The Epic Battle for AI Talent—With Exploding Offers, Secret Deals and Tears OpenAI partners with Oracle to built out 4.5 gigawatts in data center capacity SoftBank and OpenAI's $500 Billion AI Project Struggles to Get Off Ground (21) Alexander Wei on X: "1/N I'm excited to share that our latest @OpenAI experimental reasoning LLM has achieved a longstanding grand challenge in AI: gold medal-level performance on the world's most prestigious math competition—the International Math Olympiad (IMO)." / X It's rude to show AI output to people | Alex Martsinovich Trump's AI Action Plan Is a Crusade Against 'Bias'—and Regulation Elon Musk's xAI tried to teach Grok how to be human — by recording its own workers' faces A new study just upended AI safety 'I destroyed months of your work in seconds' says AI coding tool after deleting a dev's entire database during a code freeze: 'I panicked instead of thinking' Tesla results Total Party Kill Twin Peaks as it is meant to be seen Attack of the clever crows Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Steven Johnson Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: smarty.com/twit agntcy.org

Interview with Steven Johnson Amazon buys Bee AI wearable that listens to everything you say Lovable becomes a unicorn with $200M Series A just 8 months after launch | TechCrunch (21) Jeff Wang on X: "To put it mildly, the past week at Windsurf has been crazy. There have been a lot of different rumors and reports, so I want to share a transparent account of how it actually went down. Before I start, I just want to say that Varun and Douglas were great founders and this" / X Thinking Machines Lab Raises $2 Billion at $10 Billion Valuation The Epic Battle for AI Talent—With Exploding Offers, Secret Deals and Tears OpenAI partners with Oracle to built out 4.5 gigawatts in data center capacity SoftBank and OpenAI's $500 Billion AI Project Struggles to Get Off Ground (21) Alexander Wei on X: "1/N I'm excited to share that our latest @OpenAI experimental reasoning LLM has achieved a longstanding grand challenge in AI: gold medal-level performance on the world's most prestigious math competition—the International Math Olympiad (IMO)." / X It's rude to show AI output to people | Alex Martsinovich Trump's AI Action Plan Is a Crusade Against 'Bias'—and Regulation Elon Musk's xAI tried to teach Grok how to be human — by recording its own workers' faces A new study just upended AI safety 'I destroyed months of your work in seconds' says AI coding tool after deleting a dev's entire database during a code freeze: 'I panicked instead of thinking' Tesla results Total Party Kill Twin Peaks as it is meant to be seen Attack of the clever crows Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Steven Johnson Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: smarty.com/twit agntcy.org

Interview with Steven Johnson Amazon buys Bee AI wearable that listens to everything you say Lovable becomes a unicorn with $200M Series A just 8 months after launch | TechCrunch (21) Jeff Wang on X: "To put it mildly, the past week at Windsurf has been crazy. There have been a lot of different rumors and reports, so I want to share a transparent account of how it actually went down. Before I start, I just want to say that Varun and Douglas were great founders and this" / X Thinking Machines Lab Raises $2 Billion at $10 Billion Valuation The Epic Battle for AI Talent—With Exploding Offers, Secret Deals and Tears OpenAI partners with Oracle to built out 4.5 gigawatts in data center capacity SoftBank and OpenAI's $500 Billion AI Project Struggles to Get Off Ground (21) Alexander Wei on X: "1/N I'm excited to share that our latest @OpenAI experimental reasoning LLM has achieved a longstanding grand challenge in AI: gold medal-level performance on the world's most prestigious math competition—the International Math Olympiad (IMO)." / X It's rude to show AI output to people | Alex Martsinovich Trump's AI Action Plan Is a Crusade Against 'Bias'—and Regulation Elon Musk's xAI tried to teach Grok how to be human — by recording its own workers' faces A new study just upended AI safety 'I destroyed months of your work in seconds' says AI coding tool after deleting a dev's entire database during a code freeze: 'I panicked instead of thinking' Tesla results Total Party Kill Twin Peaks as it is meant to be seen Attack of the clever crows Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Steven Johnson Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: smarty.com/twit agntcy.org

Interview with Steven Johnson Amazon buys Bee AI wearable that listens to everything you say Lovable becomes a unicorn with $200M Series A just 8 months after launch | TechCrunch (21) Jeff Wang on X: "To put it mildly, the past week at Windsurf has been crazy. There have been a lot of different rumors and reports, so I want to share a transparent account of how it actually went down. Before I start, I just want to say that Varun and Douglas were great founders and this" / X Thinking Machines Lab Raises $2 Billion at $10 Billion Valuation The Epic Battle for AI Talent—With Exploding Offers, Secret Deals and Tears OpenAI partners with Oracle to built out 4.5 gigawatts in data center capacity SoftBank and OpenAI's $500 Billion AI Project Struggles to Get Off Ground (21) Alexander Wei on X: "1/N I'm excited to share that our latest @OpenAI experimental reasoning LLM has achieved a longstanding grand challenge in AI: gold medal-level performance on the world's most prestigious math competition—the International Math Olympiad (IMO)." / X It's rude to show AI output to people | Alex Martsinovich Trump's AI Action Plan Is a Crusade Against 'Bias'—and Regulation Elon Musk's xAI tried to teach Grok how to be human — by recording its own workers' faces A new study just upended AI safety 'I destroyed months of your work in seconds' says AI coding tool after deleting a dev's entire database during a code freeze: 'I panicked instead of thinking' Tesla results Total Party Kill Twin Peaks as it is meant to be seen Attack of the clever crows Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Steven Johnson Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: smarty.com/twit agntcy.org

In this episode of Confessions of a B2B Entrepreneur, host Tom Hunt sits down with Alex Heublein, President of Innovation Business at Netsurit, to explore how businesses can effectively implement AI solutions that accelerate productivity and drive growth. Alex shares practical insights on optimising internal processes and enhancing customer research, demonstrating how AI can be a "bicycle for the mind" for your team. Discover how to leverage internal and external data to boost efficiency and make customers happier, all while maintaining data security and privacy.

SummaryIn this conversation, Maurie and Jim Beasley explore the multifaceted world of artificial intelligence, sharing personal anecdotes and practical applications of AI in education and beyond. They discuss the importance of understanding AI basics, the diverse ways individuals can utilize AI tools, and the significance of personalizing AI experiences. The conversation also explores the role of AI in workflow automation, content creation, and ethical considerations in education, highlighting the importance of teachers staying informed and engaged with AI advancements.TakeawaysAI can be used for personal tasks to enhance daily life.Starting with personal applications makes AI more relatable.Multimodal AI can recognize and process images and text.Different users have unique ways of utilizing AI tools.Planning and prototyping are essential in AI tool usage.Workflow automation can streamline tasks and improve efficiency.Visuals created with AI can enhance educational materials.AI literacy is crucial for educators to keep up with advancements.Documentation should be made AI-friendly for better accessibility.Teaching remains a human-centered profession despite AI advancements.Sound bites"How do I use this thing?""Start with something personal.""Teaching is still human work."Chapters00:00 Introduction to AI and Personal Experiences01:51 Understanding AI Basics and Personal Applications04:41 Exploring Multimodal AI and Personal Use Cases06:14 Diverse AI Utilization: Educator vs. Engineer Perspectives10:16 Planning and Prototyping with AI Tools14:19 Workflow Automation and Organizational Tools16:18 Visuals and Content Creation for Educators19:39 AI in Training and Professional Development22:17 Research and Ethical Considerations in AI25:09 Documentation and Knowledge Management with AI

Are you ready to rethink your approach to business transformation? In this episode, Lukas Egger reveals how generative AI enables organizations to connect diverse data sets, streamline processes, and uncover unique business value. Hear why context-rich, private data is your most important asset in a world where public data has been commoditized. Lukas shares practical strategies and forward-thinking insights on leveraging new AI capabilities, feedback mechanisms, and continuous data management to differentiate and innovate. Listen in to discover actionable ideas that will reshape your perspective on AI and process excellence.

Enterprise Knowledge CEO Zach Wahl speaks with Jeff Vargas, former Director of Knowledge Management at Paramount. In this conversation, Zach and Jeff discuss being KM evangelists and the trick to selling KM programs to executives. They get into "invisible KM," talking about how everyone is doing KM but may not realize it, and how to find and boost those pockets of success. Jeff also shares the "lightbulb" moment that catapulted him from technical writing, to learning and development, and, ultimately, to knowledge management.To learn more about Enterprise Knowledge, visit us at: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠enterprise-knowledge.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.EK's Knowledge Base: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://enterprise-knowledge.com/knowledge-base/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Contact Us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://enterprise-knowledge.com/contact-us/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/enterprise-knowledge-llc/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter/X: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/ekconsulting⁠⁠⁠

In this bonus episode of Higher Ed Pulse recorded live at the 2025 Engage Summit, host Mallory Willsea sits down with Hannah Wilson, Knowledge Management and CRM Coordinator at Forsyth Tech Community College. This episode explores the vital role of clean data, the evolving relationship between humans and AI in student engagement, and how smart use of chatbots can revolutionize community college communications. From innovative experiments to real-world enrollment gains, Hannah shares how Forsyth Tech is leading the charge in AI implementation in higher ed. - - - -Connect With Our Host:Mallory Willsea https://www.linkedin.com/in/mallorywillsea/https://twitter.com/mallorywillseaAbout The Enrollify Podcast Network:The Higher Ed Pulse is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too!Enrollify is made possible by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com.Attend the 2025 Engage Summit! The Engage Summit is the premier conference for forward-thinking leaders and practitioners dedicated to exploring the transformative power of AI in education. Explore the strategies and tools to step into the next generation of student engagement, supercharged by AI. You'll leave ready to deliver the most personalized digital engagement experience every step of the way.Register now to secure your spot in Charlotte, NC, on June 24-25, 2025! Early bird registration ends February 1st -- https://engage.element451.com/register

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In this episode of Definitely Maybe Agile, Peter Maddison and David Sharrock are joined by Derek Crager, a seasoned engineer turned AI entrepreneur who shares his journey from blue-collar work to building AI-powered knowledge management solutions. Derek discusses how AI is transforming workplace onboarding, knowledge transfer, and personal productivity, drawing parallels between today's AI revolution and the early days of the internet.Derek brings a practical perspective on implementing AI in enterprise environments, focusing on his company's voice-powered AI assistant "Pocket Mentor" that helps organizations capture tribal knowledge and streamline employee onboarding. The conversation explores the challenges of extracting expertise from subject matter experts, the importance of having clear business outcomes when adopting AI, and advice for students navigating career choices in an AI-driven world.Key Takeaways:Focus on Business Outcomes Over Buzzwords - Don't implement AI just to check a box or follow trends. Instead, identify specific business problems (like inefficient onboarding or knowledge retention) and then explore how AI can provide practical solutions to those challenges.AI Excels at Knowledge Augmentation and Accessibility - AI's greatest strength lies in making organizational knowledge instantly accessible 24/7, without judgment, and at a consistent quality level. This is particularly valuable for onboarding new employees and capturing tribal knowledge from subject matter experts before it walks out the door.Take Time to Learn and Evaluate Before Jumping In - The AI wave mirrors the early internet adoption curve and will continue evolving over the next 10-15 years. Organizations and individuals have time to thoughtfully evaluate AI solutions rather than rushing to adopt the first available option, emphasizing the importance of learning practical applications before implementation.

In this episode of The Reformed Brotherhood, Tony Arsenal takes listeners on a deep dive into the art and purpose of effective note-taking, particularly within the context of Christian living and theological study. With Jesse absent for this episode, Tony explores practical techniques to help Christians retain, process, and apply what they read, whether it be from Scripture, theological works, or even secular writings. Highlighting his own personal process, Tony emphasizes the importance of reading with intention and grounding all study in the ultimate goal of glorifying God and enjoying Him forever. The episode details Tony's structured note-taking process, which includes reading with a clear purpose, capturing highlights, organizing thoughts systematically, and reviewing and reusing notes for practical outcomes. He emphasizes the importance of using tools that work for the individual, whether digital platforms like Obsidian markdown or analog methods like commonplace books. The central theme throughout is that note-taking is not just about acquiring knowledge, but about using that knowledge to reflect God's glory in everyday life. Tony also ties the practice of note-taking to theological principles, referencing the Westminster Catechism's teaching that every action should aim to glorify God. He challenges listeners to examine their own study habits and consider how they can better use what they learn to serve their families, churches, and communities. Whether through teaching Sunday school, sharing the faith with children, or preparing sermons, the episode demonstrates how intentional note-taking can enhance spiritual growth and equip believers for ministry. Key Points: The Purpose of Note-Taking: Note-taking is not an end in itself but a means to glorify God and enjoy Him forever. It helps Christians reflect on and apply what they learn in practical ways. Tony's Note-Taking Process: A step-by-step guide that includes reading with intention, highlighting key insights, organizing notes with tags, and reviewing them regularly for reuse. Tools and Techniques: Recommendations for using tools like Obsidian markdown or analog methods, emphasizing flexibility and personalization in developing a system that works. Practical Applications: The importance of using notes for teaching, sermon preparation, family devotions, and theological discussions, making knowledge actionable and impactful. Theological Foundations: Connecting note-taking to the broader Christian life, including meditating on Scripture and theological works as a means of sanctification. Questions for Reflection: How does your current note-taking process help you retain and apply what you read? In what ways can you ensure that your study habits glorify God and enhance your enjoyment of Him? What tools or methods could you adopt to make your note-taking more effective and organized? How can you use what you learn to serve your church, family, or community more effectively? What intentions or goals should you set before starting your next reading or study session?

Episode Title: GPTs Replaced Endless File SearchingShow Notes:In this episode of the B2B Marketing Excellence & AI Podcast, I talk about a common frustration — when your computer crashes and you're forced to transfer everything. That happened to me recently, and instead of just moving over cluttered files, I decided to create a better system.I used this opportunity to build personalized GPTs (Generative Pretrained Transformers) inside ChatGPT to help me organize information so I could stop digging through folders, spreadsheets, and emails. Now, instead of asking “Where did I save that?” — I just ask my GPT.These GPTs have become my go-to system for locating key client information, marketing materials, podcast outlines, and internal resources — all in seconds.If you're overwhelmed by digital disorganization or tired of repeating the same searches, this episode will show you how to use AI to create a centralized, accessible, and reliable system for storing and retrieving information.You'll learn:Why I decided not to keep transferring messy files across computersHow GPTs help organize and recall key information instantlyReal-world examples of how I use GPTs to support client work and daily operationsSimple ways to get started creating your own GPT-based document systemAt World Innovators, we're all about helping B2B brands and Executives find smarter ways to reach the right audience — and that starts with staying organized internally. GPTs are one tool that's helping us (and our clients) reduce clutter and increase clarity. Watch the Bonus Video: How to Create Your Own GPT- https://youtu.be/2NNt4f88qNw?si=KniJVppBV3CSuafpEpisode Breakdown:00:00 A Rough Week with Technology 03:21 Setting Up Your Own GPT 04:58 Practical Applications of GPTs 08:27 Training and Optimizing Your GPT 12:50 Benefits of GPTs for Teams 15:18 Final Thoughts and Encouragement

I, Stewart Alsop, welcomed Alex Levin, CEO and co-founder of Regal, to this episode of the Crazy Wisdom Podcast to discuss the fascinating world of AI phone agents. Alex shared some incredible insights into how AI is already transforming customer interactions and what the future holds for company agents, machine-to-machine communication, and even the nature of knowledge itself.Check out this GPT we trained on the conversation!Timestamps00:29 Alex Levin shares that people are often more honest with AI agents than human agents, especially regarding payments.02:41 The surprising persistence of voice as a preferred channel for customer interaction, and how AI is set to revolutionize it.05:15 Discussion of the three types of AI agents: personal, work, and company agents, and how conversational AI will become the main interface with brands.07:12 Exploring the shift to machine-to-machine interactions and how AI changes what knowledge humans need versus what machines need.10:56 The looming challenge of centralization versus decentralization in AI, and how Americans often prioritize experience over privacy.14:11 Alex explains how tokenized data can offer personalized experiences without compromising specific individual privacy.25:44 Voice is predicted to become the primary way we interact with brands and technology due to its naturalness and efficiency.33:21 Why AI agents are easier to implement in contact centers due to different entropy compared to typical software.38:13 How Regal ensures AI agents stay on script and avoid "hallucinations" by proper training and guardrails.46:11 The technical challenges in replicating human conversational latency and nuances in AI voice interactions.Key InsightsAI Elicits HonestyPeople tend to be more forthright with AI agents, particularly in financially sensitive situations like discussing overdue payments. Alex speculates this is because individuals may feel less judged by an AI, leading to more truthful disclosures compared to interactions with human agents.Voice is King, AI is its HeirDespite predictions of its decline, voice remains a dominant channel for customer interactions. Alex believes that within three to five years, AI will handle as much as 90% of these voice interactions, transforming customer service with its efficiency and availability.The Rise of Company AgentsThe primary interface with most brands is expected to shift from websites and apps to conversational AI agents. This is because voice is a more natural, faster, and emotive way for humans to interact, a behavior already seen in younger generations.Machine-to-Machine FutureWe're moving towards a world where AI agents representing companies will interact directly with AI agents representing consumers. This "machine-to-machine" (M2M) paradigm will redefine commerce and the nature of how businesses and customers engage.Ontology of KnowledgeAs AI systems process vast amounts of information, creating a clear "ontology of knowledge" becomes crucial. This means structuring and categorizing information so AI can understand the context and user's underlying intent, rather than just processing raw data.Tokenized Data for PrivacyA potential solution to privacy concerns is "tokenized data." Instead of providing AI with specific personal details, users could share generalized tokens (e.g., "high-intent buyer in 30s") that allow for personalized experiences without revealing sensitive, identifiable information.AI Highlights Human InconsistenciesImplementing AI often brings to light existing inconsistencies or unacknowledged issues within a company. For instance, AI might reveal discrepancies between official scripts and how top-performing human agents actually communicate, forcing companies to address these differences.Influence as a Key Human SkillIn a future increasingly shaped by AI, Sam Altman (via Alex) suggests that the ability to "influence" others will be a paramount human skill. This uniquely human trait will be vital, whether for interacting with other people or for guiding and shaping AI systems.Contact Information*   Regal AI: regal.ai*   Email: hello@regal.ai*   LinkedIn: www.linkedin.com/in/alexlevin1/

Enterprise Knowledge CEO Zach Wahl again speaks with Barry Byrne, Global Head of Knowledge Management at Novartis and founder and organizer of the Knowledge Summit Dublin conference.In this conversation, Zach and Barry discuss Barry's growing knowledge management team at Novartis, how to measure KM success, and best practices for conducting (and scaling!) knowledge capture before valuable team members leave an organization. They also share what they're most excited about at Knowledge Summit Dublin this year, especially the "salmon of knowledge." For more information on Knowledge Summit Dublin, check it out at ⁠https://www.knowledgesummitdublin.com/⁠.Click ⁠here⁠ to listen to Barry's first Knowledge Cast episode.To learn more about Enterprise Knowledge, visit us at: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠enterprise-knowledge.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.EK's Knowledge Base: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://enterprise-knowledge.com/knowledge-base/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Contact Us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://enterprise-knowledge.com/contact-us/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/enterprise-knowledge-llc/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter/X: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/ekconsulting⁠⁠⁠

Most startups bolt AI onto old products.  ⁨@ravennahq⁩  reimagined the entire workflow.  When we first met Kevin Coleman and Taylor Halliday, it was clear they weren't just chasing the hype cycle. They were pairing AI-native architecture with deep founder-market fit, and rebuilding how internal ops work — from first principles. Their new company, Ravenna, is going after a $160B+ market dominated by legacy players. But instead of being intimidated by incumbents, they got focused, making some smart moves that more early-stage teams should consider: 1) Speak with 30+ customers before writing a line of code 2) Define a clear ICP and pain points 3) Build natively for Slack — where support actually happens 4) Prioritize automation, iteration, and real workflow transformation 5) Stayed radically transparent with investors and early customers At Madrona, we love backing teams that combine ambition with discipline — and Kevin and Taylor are doing just that. In this episode of Founded & Funded, they sit down with Madrona Managing Director Tim Porter and talk through their journey, what they'd do differently the second time around, and how they're building a durable, agentic platform for internal support. If you're a founder building in AI, SaaS, or ops — this conversation is full of lessons worth hearing. Transcript: https://bit.ly/4ju2Cml Chapters:  (00:00) Introduction (00:23) Meet the Founders: Taylor Halliday and Kevin Coleman (02:05) The Birth of Ravenna: Identifying the Problem (03:05) The Concept of Enterprise Service Management (04:02) The Journey from Idea to Execution (04:31) Customer Insights and Market Fit (06:42) Building a Next-Generation Platform (10:43) Slack Integration and AI Automation (14:37) Partnering with Slack: A Strategic Move (17:13) Leveraging Slack for Knowledge Management (20:13) Balancing Focus and Vision (21:07) Discovering ITSM: A Hidden Market (21:40) Expanding Beyond IT: The Universal Help Desk (24:30) ServiceNow and the AI Revolution (27:03) Building a Transparent and Collaborative Culture (29:37) Recruiting Top AI Talent (31:59) Navigating Market Realities and Customer Focus (37:59) Advice for Aspiring Founders

For the first time ever, The Learning & Development Podcast was recorded in front of a live audience in New York! In this special episode, I sit down with Julianne Gill, Director of Learning & Development at Smile Brands, to explore what it truly takes to build an L&D function that delivers measurable impact. Julianne shares insights from her career journey, how she assessed and transformed L&D at Smile Brands, and the pivotal role of performance consulting and collaborative learning in making L&D a strategic business driver. Take your L&D to the next level Take advantage of thousands of hours of analysis. Hundreds of conversations with industry innovators and 25+ years of hands-on global L&D leadership. It's all distilled into one framework to help you level up L&D. Access the L&D Maturity Model here - https://360learning.com/maturity-model KEY TAKEAWAYS L&D leaders need to think strategically to truly help the business. Seek real customer feedback. If you don´t know what people really think you can´t improve. Focus on how people really learn. It is always evolving. The L&D department needs to learn and evolve themselves. Collaborative learning works. Always partner with subject matter experts. Where possible update what they have already created, then get them to edit it. Start by helping people to achieve their KPIs. Educate yourself about performance consulting. Focus on outcomes. Be smart with people´s time. When you have different perspectives and experiences in the room you achieve more. BEST MOMENTS “You need to show value pretty quickly.” “You are telling them their baby is ugly, and nobody likes to be told that their baby is ugly.” “When training is the absolute wrong solution, you're going to waste a lot of money.” “I can turn anything into a $ sign.” “Start with the data.” “Take the wins when you can and work your way around.” Julianne Gill Bio Julianne is an innovative Learning, Development, Talent Acquisition, & Knowledge Management leader with a track record of success in leading complex initiatives. Julianne has deep expertise in training design & strategy, performance improvement, business planning, talent acquisition, employee engagement, operational efficiencies, leadership development, and change management with a proven history of building and leading high performing teams. Through leadership and collaboration, Julianne has successfully developed and executed programs and improved operational workflows that lead to performance improvement and achievement of strategic goals. VALUABLE RESOURCES The Learning And Development Podcast - https://podcasts.apple.com/gb/podcast/the-learning-development-podcast/id1466927523 L&D Master Class Series: https://360learning.com/blog/l-and-d-masterclass-home ABOUT THE HOST David James David has been a People Development professional for more than 20 years, most notably as Director of Talent, Learning & OD for The Walt Disney Company across Europe, the Middle East & Africa. As well as being the Chief Learning Officer at 360Learning, David is a prominent writer and speaker on topics around modern and digital L&D. CONTACT METHOD Twitter:  https://twitter.com/davidinlearning LinkedIn: https://www.linkedin.com/in/davidjameslinkedin L&D Collective: https://360learning.com/the-l-and-d-collective Blog: https://360learning.com/blog L&D Master Class Series: https://360learning.com/blog/l-and-d-masterclass-home

In this episode of CISO Tradecraft, host G Mark Hardy and guest Sounil Yu delve into the dual-edged sword of implementing Microsoft 365 Copilot in enterprises. While this productivity tool has transformative potential, it introduces significant oversharing risks that can be mitigated with the right strategies. Discover how Sounil and his team at Knostic have been tackling these challenges for over a year, presenting innovative solutions to ensure both productivity and security. They discuss the importance of 'need to know' principles and knowledge segmentation, providing insight into how organizations can harness the power of Microsoft 365 Copilot safely and effectively. Tune in to learn how to avoid becoming the 'department of no' and start being the 'department of know.' Transcripts https://docs.google.com/document/d/1CT9HXdDmKojuXzWTbNYUE4Kgp_D64GyB Knostic's Website - https://www.knostic.ai/solution-brief-request  Chapters 00:00 Introduction to Microsoft Copilot Risks 00:32 Meet the Guest: Sounil Yu 02:51 Understanding Microsoft 365 Copilot 06:09 The DIKW Pyramid and Knowledge Management 08:34 Challenges of Data Permissions and Oversharing 19:01 Need to Know: A New Approach to Access Control 35:10 Measuring and Mitigating Risks with Copilot 39:46 Conclusion and Next Steps

Enterprise Knowledge CEO Zach Wahl speaks with Liam Fahey, Partner and Co-Founder at Leadership Forum LLC. In this conversation, Zach and Liam discuss Liam's claim to fame as co-host of the first Knowledge Management conference in 1994, the importance of nomenclature and terminology in securing buy-in for KM initiatives, and why having a KM charter is critical to long-term sustainment. The two also talked about the intersection of KM and intelligence work and how to become a good facilitator. To learn more about Enterprise Knowledge, visit us at: ⁠⁠⁠⁠⁠⁠⁠⁠enterprise-knowledge.com⁠⁠⁠⁠⁠⁠⁠⁠.EK's Knowledge Base: ⁠⁠⁠⁠⁠⁠⁠⁠https://enterprise-knowledge.com/knowledge-base/⁠⁠⁠⁠⁠⁠⁠⁠Contact Us: ⁠⁠⁠⁠⁠⁠⁠⁠https://enterprise-knowledge.com/contact-us/⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/enterprise-knowledge-llc/⁠⁠⁠⁠⁠⁠⁠⁠Twitter/X: ⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/ekconsulting⁠⁠⁠

Guest Bio:  Dave Snowden divides his time between two roles: founder & Chief Scientific Officer of Cognitive Edge and the founder and Director of the Centre for Applied Complexity at the University of Wales.  Known for creating the sense-making framework, Cynefin, Dave's work is international in nature and covers government and industry looking at complex issues relating to strategy, organisational decision making and decision making.  He has pioneered a science-based approach to organisations drawing on anthropology, neuroscience and complex adaptive systems theory.  He is a popular and passionate keynote speaker on a range of subjects, and is well known for his pragmatic cynicism and iconoclastic style. He holds positions as extra-ordinary Professor at the Universities of Pretoria and Stellenbosch and visiting Professor at Bangor University in Wales respectively.  He has held similar positions at Hong Kong Polytechnic University, Canberra University, the University of Warwick and The University of Surrey.  He held the position of senior fellow at the Institute of Defence and Strategic Studies at Nanyang University and the Civil Service College in Singapore during a sabbatical period in Nanyang. His paper with Boone on Leadership was the cover article for the Harvard Business Review in November 2007 and also won the Academy of Management aware for the best practitioner paper in the same year.  He has previously won a special award from the Academy for originality in his work on knowledge management. He is a editorial board member of several academic and practitioner journals in the field of knowledge management and is an Editor in Chief of E:CO.  In 2006 he was Director of the EPSRC (UK) research programme on emergence and in 2007 was appointed to an NSF (US) review panel on complexity science research. He previously worked for IBM where he was a Director of the Institution for Knowledge Management and founded the Cynefin Centre for Organisational Complexity; during that period he was selected by IBM as one of six on-demand thinkers for a world-wide advertising campaign. Prior to that he worked in a range of strategic and management roles in the service sector. His company Cognitive Edge exists to integrate academic thinking with practice in organisations throughout the world and operates on a network model working with Academics, Government, Commercial Organisations, NGOs and Independent Consultants.  He is also the main designer of the SenseMaker® software suite, originally developed in the field of counter terrorism and now being actively deployed in both Government and Industry to handle issues of impact measurement, customer/employee insight, narrative based knowledge management, strategic foresight and risk management. The Centre for Applied Complexity was established to look at whole of citizen engagement in government and is running active programmes in Wales and elsewhere in areas such as social inclusion, self-organising communities and nudge economics together with a broad range of programmes in health.  The Centre will establish Wales as a centre of excellence for the integration of academic and practitioner work in creating a science-based approach to understanding society.   Social Media and Website LinkedIn: https://uk.linkedin.com/in/dave-snowden-2a93b Twitter: @snowded Website: Cognitive Edge https://www.cognitive-edge.com/   Books/ Resources: Book: Cynefin - Weaving Sense-Making into the Fabric of Our World by Dave Snowden and Friends https://www.amazon.co.uk/Cynefin-Weaving-Sense-Making-Fabric-World/dp/1735379905 Book: Hope Without Optimism by Terry Eagleton https://www.amazon.co.uk/Hope-Without-Optimism-Terry-Eagleton/dp/0300248679/ Book: Theology of Hope by Jurgen Moltmann https://www.amazon.co.uk/Theology-Hope-Classics-Jurgen-Moltmann/dp/0334028787 Poem: ‘Mending Wall' by Robert Frost https://www.poetryfoundation.org/poems/44266/mending-wall Video: Dave Snowden on ‘Rewilding Agile' https://www.youtube.com/watch?v=QrgaPDqet4c Article reference to ‘Rewilding Agile' by Dave Snowden https://cynefin.io/index.php/User:Snowded Field Guide to Managing Complexity (and Chaos) In Times of Crisis https://cynefin.io/index.php/Field_guide_to_managing_complexity_(and_chaos)_in_times_of_crisis Field Guide to Managing Complexity (and Chaos) In Times of Crisis (2) https://ec.europa.eu/jrc/en/publication/managing-complexity-and-chaos-times-crisis-field-guide-decision-makers-inspired-cynefin-framework Cynefin Wiki https://cynefin.io/wiki/Main_Page   Interview Transcript Ula Ojiaku:  Dave, thank you for making the time for this conversation. I read in your, your latest book - the book, Cynefin: Weaving Sense Making into the Fabric of Our World, which was released, I believe, in celebration of the twenty first year of the framework. And you mentioned that in your childhood, you had multidisciplinary upbringing which involved lots of reading. Could you tell us a bit more about that? Dave Snowden:  I think it wasn't uncommon in those days. I mean, if you did… I mean, I did science A levels and mathematical A levels. But the assumption was you would read every novel that the academic English class were reading. In fact, it was just unimaginable (that) you wouldn't know the basics of history. So, if you couldn't survive that in the sixth form common room, and the basics of science were known by most of the arts people as well. So that that was common, right. And we had to debate every week anyway. So, every week, you went up to the front of the class and you were given a card, and you'd have the subject and which side you are on, and you had to speak for seven minutes without preparation. And we did that every week from the age of 11 to 18. And that was a wonderful discipline because it meant you read everything. But also, my mother was… both my parents were the first from working class communities to go to university. And they got there by scholarship or sheer hard work against the opposition of their families. My mother went to university in Germany just after the war, which was extremely brave of her -  you know, as a South Wales working class girl. So, you weren't allowed not to be educated, it was considered the unforgivable sin. Ula Ojiaku:   Wow. Did it mean that she had to learn German, because (she was) studying in Germany…? Dave Snowden:  She well, she got A levels in languages. So, she went to university to study German and she actually ended up as a German teacher, German and French. So, she had that sort of background. Yeah. Ula Ojiaku:  And was that what influenced you? Because you also mentioned in the book that you won a £60 prize? Dave Snowden:  Oh, no, that was just fun. So, my mum was very politically active. We're a South Wales labor. Well, I know if I can read but we were labor. And so, she was a local Councilor. She was always politically active. There's a picture of me on Bertrand Russell's knee and her as a baby on a CND march. So it was that sort of background. And she was campaigning for comprehensive education, and had a ferocious fight with Aiden Williams, I think, who was the Director of Education, it was really nasty. I mean, I got threatened on my 11 Plus, he got really nasty. And then so when (I was) in the sixth form, I won the prize in his memory, which caused endless amusement in the whole county. All right. I think I probably won it for that. But that was for contributions beyond academic. So, I was leading lots of stuff in the community and stuff like that. But I had £60. And the assumption was, you go and buy one massive book. And I didn't, I got Dad to drive me to Liverpool - went into the big bookshop there and just came out with I mean, books for two and six pence. So, you can imagine how many books I could get for £60. And I just took everything I could find on philosophy and history and introductory science and stuff like that and just consumed it. Ula Ojiaku:  Wow, it seemed like you already knew what you wanted even before winning the prize money, you seem to have had a wish list... Dave Snowden:  I mean, actually interesting, and the big things in the EU field guide on (managing) complexity which was just issued. You need to build…, You need to stop saying, ‘this is the problem, we will find the solution' to saying, ‘how do I build capability, that can solve problems we haven't yet anticipated?' And I think that's part of the problem in education. Because my children didn't have that benefit. They had a modular education. Yeah, we did a set of exams at 16 and a set of exams that 18 and between those periods, we could explore it (i.e. options) and we had to hold everything in our minds for those two periods, right? For my children, it was do a module, pass a test, get a mark, move on, forget it move on. So, it's very compartmentalized, yeah? And it's also quite instrumentalist. We, I think we were given an education as much in how to learn and have had to find things out. And the debating tradition was that; you didn't know what you're going to get hit with. So, you read everything, and you thought about it, and you learn to think on your feet. And I think that that sort of a broad switch, it started to happen in the 80s, along with a lot of other bad things in management. And this is when systems thinking started to dominate. And we moved to an engineering metaphor. And you can see it in cybernetics and everything else, it's an attempt to define everything as a machine. And of course, machines are designed for a purpose, whereas ecosystems evolve for resilience. And I think that's kind of like where I, my generation were and it's certainly what we're trying to bring back in now in sort of in terms of practice. Ula Ojiaku:  I have an engineering background and a computer science background. These days, I'm developing a newfound love for philosophy, psychology, law and, you know, intersect, how do all these concepts intersect? Because as human beings we're complex, we're not machines where you put the program in and you expect it to come out the same, you know, it's not going to be the same for every human being. What do you think about that? Dave Snowden:  Yeah. And I think, you know, we know more on this as well. So, we know the role of art in human evolution is being closely linked to innovation. So, art comes before language. So, abstraction allows you to make novel connections. So, if you focus entirely on STEM education, you're damaging the human capacity to innovate. And we're, you know, as creatures, we're curious. You know. And I mean, we got this whole concept of our aporia, which is key to connecting that, which is creating a state of deliberate confusion, or a state of paradox. And the essence of a paradox is you can't resolve it. So, you're forced to think differently. So, the famous case on this is the liar's paradox, alright? I mean, “I always lie”. That just means I lied. So, if that means I was telling the truth. So, you've got to think differently about the problem. I mean, you've seen those paradoxes do the same thing. So that, that deliberate act of creating confusion so people can see novelty is key. Yeah. Umm and if you don't find… finding ways to do that, so when we looked at it, we looked at linguistic aporia, aesthetic aporia and physical aporia. So, I got some of the… one of the defining moments of insight on Cynefin was looking at Caravaggio`s paintings in Naples. When I realized I've been looking for the idea of the liminality. And that was, and then it all came together, right? So those are the trigger points requiring a more composite way of learning. I think it's also multiculturalism, to be honest. I mean, I, when I left university, I worked on the World Council of Churches come, you know program to combat racism. Ula Ojiaku:  Yes, I'd like to know more about that. That's one of my questions… Dave Snowden:  My mother was a good atheist, but she made me read the Bible on the basis, I wouldn't understand European literature otherwise, and the penetration guys, I became a Catholic so… Now, I mean, that that was fascinating, because I mean, I worked on Aboriginal land rights in Northern Australia, for example. And that was when I saw an activist who was literally murdered in front of me by a security guard. And we went to the police. And they said, it's only an Abo. And I still remember having fights in Geneva, because South Africa was a tribal conflict with a racial overlay. I mean, Africa, and its Matabele Zulu, arrived in South Africa together and wiped out the native population. And if you don't understand that, you don't understand the Matabele betrayal. You don't understand what happened. It doesn't justify apartheid. And one of the reasons there was a partial reconciliation, is it actually was a tribal conflict. And the ritual actually managed that. Whereas in Australia, in comparison was actually genocide. Yeah, it wasn't prejudice, it was genocide. I mean, until 1970s, there, were still taking half -breed children forcibly away from their parents, inter-marrying them in homes, to breed them back to white. And those are, I think, yeah, a big market. I argued this in the UK, I said, one of the things we should actually have is bring back national service. I couldn't get the Labor Party to adopt it. I said, ‘A: Because it would undermine the Conservatives, because they're the ones who talk about that sort of stuff. But we should allow it to be overseas.' So, if you put two years into working in communities, which are poorer than yours, round about that 18 to 21-year-old bracket, then we'll pay for your education. If you don't, you'll pay fees. Because you proved you want to give to society. And that would have been… I think, it would have meant we'd have had a generation of graduates who understood the world because that was part of the objective. I mean, I did that I worked on worked in South Africa, on the banks of Zimbabwe on the audits of the refugee camps around that fight. And in Sao Paulo, in the slums, some of the work of priests. You can't come back from that and not be changed. And I think it's that key formative period, we need to give people. Ula Ojiaku:  True and like you said, at that age, you know, when you're young and impressionable, it helps with what broadening your worldview to know that the world is bigger than your father's … compound (backyard)… Dave Snowden:  That's the worst problem in Agile, because what, you've got a whole class of, mainly white males and misogynism in Agile is really bad. It's one of the worst areas for misogyny still left, right, in terms of where it works. Ula Ojiaku:  I'm happy you are the one saying it not me… Dave Snowden:  Well, no, I mean, it is it's quite appalling. And so, what you've actually got is, is largely a bunch of white male game players who spent their entire time on computers. Yeah, when you take and run seriously after puberty, and that's kind of like a dominant culture. And that's actually quite dangerous, because it lacks, it lacks cultural diversity, it lacks ethnic diversity, it lacks educational diversity. And I wrote an article for ITIL, recently, which has been published, which said, no engineers should be allowed out, without training in ethics. Because the implications of what software engineers do now are huge. And the problem we've got, and this is a really significant, it's a big data problem as well. And you see it with a behavioral economic economist and the nudge theory guys - all of whom grab these large-scale data manipulations is that they're amoral, they're not immoral, they're amoral. And that's actually always more scary. It's this sort of deep level instrumentalism about the numbers; the numbers tell me what I need to say. Ula Ojiaku:  And also, I mean, just building on what you've said, there are instances, for example, in artificial intelligence is really based on a sample set from a select group, and it doesn't necessarily recognize things that are called ‘outliers'. You know, other races… Dave Snowden:  I mean, I've worked in that in all my life now back 20, 25 years ago. John Poindexter and I were on a stage in a conference in Washington. This was sort of early days of our work on counter terrorism. And somebody asked about black box AI and I said, nobody's talking about the training data sets. And I've worked in AI from the early days, all right, and the training data sets matter and nobody bothered. They just assumed… and you get people publishing books which say correlation is causation, which is deeply worrying, right? And I think Google is starting to acknowledge that, but it's actually very late. And the biases which… we were looking at a software tool the other day, it said it can, it can predict 85% of future events around culture. Well, it can only do that by constraining how executive see culture, so it becomes a self-fulfilling prophecy. And then the recruitment algorithms will only recruit people who match that cultural expectation and outliers will be eliminated. There's an HBO film coming up shortly on Myers Briggs. Now, Myers Briggs is known to be a pseudo-science. It has no basis whatsoever in any clinical work, and even Jung denied it, even though it's meant to be based on his work. But it's beautiful for HR departments because it allows them to put people into little categories. And critically it abrogates, judgment, and that's what happened with systems thinking in the 80s 90s is everything became spreadsheets and algorithms. So, HR departments would produce… instead of managers making decisions based on judgment, HR departments would force them into profile curves, to allocate resources. Actually, if you had a high performing team who were punished, because the assumption was teams would not have more than… Ula Ojiaku:  Bell curve... Dave Snowden:  …10 percent high performance in it. All right. Ula Ojiaku:  Yeah. Dave Snowden:  And this sort of nonsense has been running in the 80s, 90s and it coincided with… three things came together. One was the popularization of systems thinking. And unfortunately, it got popularized around things like process reengineering and learning organization. So that was a hard end. And Sanghi's pious can the sort of the, the soft end of it, right? But both of them were highly directional. It was kind of like leaders decide everything follows. Yeah. And that coincided with the huge growth of computing - the ability to handle large volumes of information. And all of those sorts of things came together in this sort of perfect storm, and we lost a lot of humanity in the process. Ula Ojiaku:  Do you think there's hope for us to regain the humanity in the process? Because it seems like the tide is turning from, I mean, there is still an emphasis, in my view, on systems thinking, however, there is the growing realization that we have, you know, knowledge workers and people… Dave Snowden:  Coming to the end of its park cycle, I see that all right. I can see it with the amount of cybernetics fanboys, and they are all boys who jump on me every time I say something about complexity, right? So, I think they're feeling threatened. And the field guide is significant, because it's a government, you know, government can like publication around effectively taken an ecosystems approach, not a cybernetic approach. And there's a book published by a good friend of mine called Terry Eagleton, who's… I don't think he's written a bad book. And he's written about 30, or 40. I mean, the guy just produces his stuff. It's called “Hope without Optimism”. And I think, hope is… I mean, Moltman just also published an update of his Theology of Hope, which is worth reading, even if you're not religious. But hope is one of those key concepts, right, you should… to lose hope is a sin. But hope is not the same thing as optimism. In fact, pessimistic people who hope actually are probably the ones who make a difference, because they're not naive, right? And this is my objection to the likes of Sharma Ga Sengi, and the like, is they just gather people together to talk about how things should be. And of course, everything should be what, you know, white MIT, educated males think the world should be like. I mean, it's very culturally imperialist in that sort of sense. And then nobody changes because anybody can come together in the workshop and agree how things should be. It's when you make a difference in the field that it counts, you've got to create a micro difference. This is hyper localization, you got to create lots and lots of micro differences, which will stimulate the systems, the system will change. I think, three things that come together, one is COVID. The other is global warming. And the other is, and I prefer to call it the epistemic justice movement, though, that kind of like fits in with Black Lives Matter. But epistemic justice doesn't just affect people who are female or black. I mean, if you come to the UK and see the language about the Welsh and the Irish, or the jokes made about the Welsh in BBC, right? The way we use language can designate people in different ways and I think that's a big movement, though. And it's certainly something we develop software for. So, I think those three come together, and I think the old models aren't going to be sustainable. I mean, the cost is going to be terrible. I mean, the cost to COVID is already bad. And we're not getting this thing as long COVID, it's permanent COVID. And people need to start getting used to that. And I think that's, that's going to change things. So, for example, in the village I live in Wiltshire. Somebody's now opened an artisan bakery in their garage and it's brilliant. And everybody's popping around there twice a week and just buying the bread and having a chat on the way; socially-distanced with masks, of course. And talking of people, that sort of thing is happening a lot. COVID has forced people into local areas and forced people to realise the vulnerability of supply chains. So, you can see changes happening there. The whole Trump phenomenon, right, and the Boris murmuring in the UK is ongoing. It's just as bad as the Trump phenomenon. It's the institutionalization of corruption as a high level. Right? Those sorts of things trigger change, right? Not without cost, change never comes without cost, but it just needs enough… It needs local action, not international action. I think that's the key principle. To get a lot of people to accept things like the Paris Accord on climate change, and you've got to be prepared to make sacrifices. And it's too distant a time at the moment, it has to become a local issue for the international initiatives to actually work and we're seeing that now. I mean… Ula Ojiaku:  It sounds like, sorry to interrupt - it sounds like what you're saying is, for the local action, for change to happen, it has to start with us as individuals… Dave Snowden:  The disposition… No, not with individuals. That's actually very North American, the North European way of thinking right. The fundamental kind of basic identity structure of humans is actually clans, not individuals. Ula Ojiaku:  Clans... Dave Snowden:  Yeah. Extended families, clans; it's an ambiguous word. We actually evolved for those. And you need it at that level, because that's a high level of social interaction and social dependency. And it's like, for example, right? I'm dyslexic. Right? Yeah. If I don't see if, if the spelling checker doesn't pick up a spelling mistake, I won't see it. And I read a whole page at a time. I do not read it sentence by sentence. All right. And I can't understand why people haven't seen the connections I make, because they're obvious, right? Equally, there's a high degree of partial autism in the Agile community, because that goes with mathematical ability and thing, and that this so-called education deficiencies, and the attempt to define an ideal individual is a mistake, because we evolved to have these differences. Ula Ojiaku:  Yes. Dave Snowden:  Yeah. And the differences understood that the right level of interaction can change things. So, I think the unit is clan, right for extended family, or extended, extended interdependence. Ula Ojiaku:  Extended interdependence… Dave Snowden:  We're seeing that in the village. I mean, yeah, this is classic British atomistic knit, and none of our relatives live anywhere near us. But the independence in the village is increasing with COVID. And therefore, people are finding relationships and things they can do together. Now, once that builds to a critical mass, and it does actually happen exponentially, then bigger initiatives are possible. And this is some of the stuff we were hoping to do in the US shortly on post-election reconciliation. And the work we've been doing in Malmo, in refugees and elsewhere in the world, right, is you change the nature of localized interaction with national visibility, so that you can measure the dispositional state of the system. And then you can nudge the system when it's ready to change, because then the energy cost of change is low. But that requires real time feedback loops in distributed human sensor networks, which is a key issue in the field guide. And the key thing that comes back to your original question on AI, is, the internet at the moment is an unbuffered feedback loop. Yeah, where you don't know the source of the data, and you can't control the source of the data. And any network like that, and this is just apriori science factor, right will always become perverted. Ula Ojiaku:  And what do you mean by term apriori? Dave Snowden:  Oh, before the facts, you don't need to, we don't need to wait for evidence. It's like in an agile, you can look at something like SAFe® which case claims to scale agile and just look at it you say it's apriori wrong (to) a scale a complex system. So, it's wrong. All right. End of argument right. Now let's talk about the details, right. So yeah, so that's, you know, that's coming back. The hyper localization thing is absolutely key on that, right? And the same is true to be honest in software development. A lot of our work now is to understand the unarticulated needs of users. And then shift technology in to actually meet those unarticulated needs. And that requires a complex approach to architecture, in which people and technology are objects with defined interactions around scaffolding structures, so that applications can emerge in resilience, right? And that's actually how local communities evolve as well. So, we've now got the theoretical constructs and a lot of the practical methods to actually… And I've got a series of blog posts - which I've got to get back to writing - called Rewilding Agile. And rewilding isn't returning to the original state, it's restoring balance. So, if you increase the number of human actors as your primary sources, and I mean human actors, not as people sitting on (in front of) computer screens who can be faked or mimicked, yeah? … and entirely working on text, which is about 10%, of what we know, dangerous, it might become 80% of what we know and then you need to panic. Right? So, you know, by changing those interactions, increasing the human agency in the system, that's how you come to, that's how you deal with fake news. It's not by writing better algorithms, because then it becomes a war with the guys faking the news, and you're always gonna lose. Ula Ojiaku:  So, what do you consider yourself, a person of faith? Dave Snowden:  Yeah. Ula Ojiaku:  Why? Dave Snowden:  Oh, faith is like hope and charity. I mean, they're the great virtues… I didn't tell you I got into a lot in trouble in the 70s. Dave Snowden:  I wrote an essay that said Catholicism, Marxism and Hinduism were ontologically identical and should be combined and we're different from Protestantism and capitalism, which are also ontologically identical (and) it can be combined. Ula Ojiaku:  Is this available in the public domain? Dave Snowden:  I doubt it. I think it actually got me onto a heresy trial at one point, but that but I would still say that. Ula Ojiaku:  That's amazing. Can we then move to the framework that Cynefin framework, how did it evolve into what we know it as today? Dave Snowden:  I'll do a high-level summary, but I wrote it up at length in the book and I didn't know I was writing for the book. The book was a surprise that they put together for me. I thought that was just writing an extended blog post. It started when I was working in IBM is it originates from the work of Max Borrasso was my mentor for years who tragically died early. But he was looking at abstraction, codification and diffusion. We did a fair amount of work together, I took two of those aspects and started to look at informal and formal communities in IBM, and its innovation. And some of the early articles on Cynefin, certainly the early ones with the five domains come from that period. And at that time, we had access labels. Yeah. And then then complexity theory came into it. So, it shifted into being a complexity framework. And it stayed … The five domains were fairly constant for a fairly long period of time, they changed their names a bit. The central domain I knew was important, but didn't have as much prominence as it does now. And then I introduced liminality, partly driven by agile people, actually, because they could they couldn't get the concept there were dynamics and domains. So, they used to say things like, ‘look, Scrum is a dynamic. It's a way of shifting complex to complicated' and people say ‘no, the scrum guide said it's about complex.' And you think, ‘oh, God, Stacey has a lot to answer for' but… Ula Ojiaku: Who`s Stacey? Dave Snowden:  Ralph Stacey. So, he was the guy originally picked up by Ken when he wrote the Scrum Guide… Ula Ojiaku:  Right. Okay. Dave Snowden:  Stacey believes everything's complex, which is just wrong, right? So, either way, Cynefin evolved with the liminal aspects. And then the last resolution last year, which is… kind of completes Cynefin to be honest, there's some refinements… was when we realized that the central domain was confused, or operatic. And that was the point where you started. So, you didn't start by putting things into the domain, you started in the operatic. And then you moved aspects of things into the different domains. So that was really important. And it got picked up in Agile, ironically, by the XP community. So, I mean, I was in IT most of my life, I was one of the founders of the DSDM Consortium, and then moved sideways from that, and was working in counterterrorism and other areas, always you're working with technology, but not in the Agile movement. Cynefin is actually about the same age as Agile, it started at the same time. And the XP community in London invited me in, and I still think Agile would have been better if it had been built on XP, not Scrum. But it wouldn't have scaled with XP, I mean, without Scrum it would never have scaled it. And then it got picked up. And I think one of the reasons it got picked up over Stacey is, it said order is possible. It didn't say everything is complex. And virtually every Agile method I know of value actually focuses on making complex, complicated. Ula Ojiaku:  Yes. Dave Snowden:  And that's its power. What they're… what is insufficient of, and this is where we've been working is what I call pre-Scrum techniques. Techniques, which define what should go into that process. Right, because all of the Agile methods still tend to be a very strong manufacturing metaphor - manufacturing ideas. So, they assume somebody will tell them what they have to produce. And that actually is a bad way of thinking about IT. Technology needs to co-evolve. And users can't articulate what they want, because they don't know what technology can do. Ula Ojiaku:  True. But are you saying… because in Agile fundamentally, it's really about making sure there's alignment as well that people are working on the right thing per time, but you're not telling them how to do it? Dave Snowden:  Well, yes and no - all right. I mean, it depends what you're doing. I mean, some Agile processes, yes. But if you go through the sort of safe brain remain processes, very little variety within it, right? And self-organization happens within the context of a user executive and retrospectives. Right, so that's its power. And, but if you look at it, it took a really good technique called time-boxing, and it reduced it to a two-week sprint. Now, that's one aspect of time boxing. I mean, I've got a whole series of blog posts next week on this, because time boxing is a hugely valuable technique. It says there's minimal deliverable project, and maximum deliverable product and a minimal level of resource and a maximum level of resource. And the team commits to deliver on the date. Ula Ojiaku:  To accurate quality… to a quality standard. Dave Snowden:  Yeah, so basically, you know that the worst case, you'll get the minimum product at the maximum cost, but you know, you'll get it on that date. So, you can deal with it, alright. And that's another technique we've neglected. We're doing things which force high levels of mutation and requirements over 24 hours, before they get put into a Scrum process. Because if you just take what users want, you know, there's been insufficient co-evolution with the technology capability. And so, by the time you deliver it, the users will probably realize they should have asked for something different anyway. Ula Ojiaku:  So, does this tie in with the pre-Scrum techniques you mentioned earlier? If so, can you articulate that? Dave Snowden:  So, is to say different methods in different places. And that's again, my opposition to things like SAFe, to a lesser extent LeSS, and so on, right, is they try and put everything into one bloody big flow diagram. Yeah. And that's messy. All right? Well, it's a recipe, not a chef. What the chef does is they put different ingredients together in different combinations. So, there's modularity of knowledge, but it's not forced into a linear process. So, our work… and we just got an open space and open source and our methods deliberately, right, in terms of the way it works, is I can take Scrum, and I can reduce it to its lowest coherent components, like a sprint or retrospective. I can combine those components with components for another method. So, I can create Scrum as an assembly of components, I can take those components compared with other components. And that way, you get novelty. So, we're then developing components which sit before traditional stuff. Like for example, triple eight, right? This was an old DSDM method. So, you ran a JAD sessions and Scrum has forgotten about JAD. JAD is a really…  joint application design… is a really good set of techniques - they're all outstanding. You throw users together with coders for two days, and you force out some prototypes. Yeah, that latching on its own would, would transform agile, bringing that back in spades, right? We did is we do an eight-hour JAD session say, in London, and we pass it on to a team in Mumbai. But we don't tell them what the users ask for. They just get the prototype. And they can do whatever they want with it for eight hours. And then they hand it over to a team in San Francisco, who can do whatever they want with it in eight hours. And it comes back. And every time I've run this, the user said, ‘God, I wouldn't have thought of that, can I please, have it?' So, what you're doing is a limited life cycle -  you get the thing roughly defined, then you allow it to mutate without control, and then you look at the results and decide what you want to do. And that's an example of pre-scrum technique, that is a lot more economical than systems and analysts and user executives and storyboards. And all those sorts of things. Yeah. Ula Ojiaku:  Well, I see what you mean, because it seems like the, you know, the JAD - the joint application design technique allows for emergent design, and you shift the decision making closer to the people who are at the forefront. And to an extent my understanding of, you know, Scrum … I mean, some agile frameworks - that's also what they promote… Dave Snowden:  Oh, they don't really don't. alright. They picked up Design Thinking which is quite interesting at the moment. If you if you look at Agile and Design Thinking. They're both at the end of their life cycles. Ula Ojiaku:  Why do you say that? Dave Snowden:  Because they're being commodified. The way you know, something is coming to the end of its life cycle is when it becomes highly commodified. So, if you look at it, look at what they are doing the moment, the Double Diamond is now a series of courses with certificates. And I mean, Agile started with bloody certificates, which is why it's always been slightly diverse in the way it works. I mean, this idea that you go on a three-day course and get a certificate, you read some slides every year and pay some money and get another certificate is fundamentally corrupt. But most of the Agile business is built on it, right? I mean, I've got three sets of methods after my name. But they all came from yearlong or longer courses certified by university not from tearing apart a course. Yeah, or satisfying a peer group within a very narrow cultural or technical definition of competence. So, I think yeah, and you can see that with Design Thinking. So, it's expert ideation, expert ethnography. And it still falls into that way of doing things. Yeah. And you can see it, people that are obsessed with running workshops that they facilitate. And that's the problem. I mean, the work we're doing on citizen engagement is actually… has no bloody facilitators in it. As all the evidence is that the people who turn up are culturally biased about their representative based opinions. And the same is true if you want to look at unarticulated needs, you can't afford to have the systems analysts finding them because they see them from their perspective. And this is one of one science, right? You did not see what you do not expect to see. We know that, alright? So, you're not going to see outliers. And so, the minute you have an expert doing something, it's really good - where you know, the bounds of the expertise, cover all the possibilities, and it's really dangerous. Well, that's not the case. Ula Ojiaku:  So, could you tell me a bit more about the unfacilitated sessions you mentioned earlier? Dave Snowden:  They're definitely not sessions, so we didn't like what were triggers at moments. Ula Ojiaku:  Okay. Dave Snowden:  So, defining roles. So, for example, one of the things I would do and have done in IT, is put together, young, naive, recently graduated programmer with older experienced tester or software architect. So, somebody without any… Ula Ojiaku:  Prejudice or pre-conceived idea... Dave Snowden:  … preferably with a sort of grandparent age group between them as well. I call it, the grandparents syndrome - grandparents say things to their grandchildren they won't tell their children and vice versa. If you maximize the age gap, there's actually freer information flow because there's no threat in the process. And then we put together with users trained to talk to IT people. So, in a month's time, I'll publish that as a training course. So, training users to talk to IT people is more economical than trying to train IT people to understand users. Ula Ojiaku:  To wrap up then, based on what you said, you know, about Cynefin, and you know, the wonderful ideas behind Cynefin. How can leaders in organizations in any organization apply these and in how they make sense of the world and, you know, take decisions? Dave Snowden:  Well, if there's actually a sensible way forward now, so we've just published the field guide on managing complexity.  Ula Ojiaku:  Okay. Dave Snowden:  And that is actually, it's a sort of ‘Chef's guide'. It has four stages: assess, adapt, exert, transcend, and within that it has things you could do. So, it's not a list of qualities, it's a list of practical things you should go and do tomorrow, and those things we're building at the moment with a lot of partners, because we won't try and control this; this needs to be open. Here's an assessment process that people will go through to decide where they are. So that's going to be available next week on our website. Ula Ojiaku:  Oh, fantastic! Dave Snowden:  For the initial registration.  Other than that, and there's a whole body of stuff on how to use Cynefin. And as I said, we just open source on the methods. So, the Wiki is open source. These… from my point of view, we're now at the stage where the market is going to expand very quickly. And to be honest, I, you know, I've always said traditionally use cash waiver as an example of this. The reason that Agile scaled around Scrum is he didn't make it an elite activity, which XP was. I love the XP guys, but they can't communicate with ordinary mortals. Yeah. It takes you about 10 minutes to tune into the main point, and even you know the field, right. And he (Jeff Sutherland) made the Scrum Guide open source. And that way it's great, right. And I think that that's something which people just don't get strategic with. They, in early stages, you should keep things behind firewalls. When the market is ready to expand, you take the firewalls away fast. Because I mean, getting behind firewalls initially to maintain coherence so they don't get diluted too quickly, or what I call “hawks being made into pigeons”. Yeah. But the minute the market is starting to expand, that probably means you've defined it so you release the firewall so the ideas spread very quickly, and you accept the degree of diversity on it. So that's the reason we put the Wiki. Ula Ojiaku:  Right. So, are there any books that you would recommend, for anyone who wants to learn more about what you've talked about so far. Dave Snowden:  You would normally produce the theory book, then the field book, but we did it the other way around. So, Mary and I are working on three to five books, which will back up the Field Guide. Ula Ojiaku:  Is it Mary Boone? Dave Snowden:  Mary Boone. She knows how to write to the American managers, which I don't, right… without losing integrity. So that's coming, right. If you go onto the website, I've listed all the books I read. I don't think… there are some very, very good books around complexity, but they're deeply specialized, they're academic. Gerard's book is just absolutely brilliant but it's difficult to understand if you don't have a philosophy degree. And there are some awfully tripe books around complexity - nearly all of the popular books I've seen, I wouldn't recommend. Yeah. Small Groups of Complex Adaptive Systems is probably quite a good one that was published about 20 years ago. Yeah, but that we got a book list on the website. So, I would look at that. Ula Ojiaku:  Okay. Thank you so much for that. Do you have any ask of the audience and how can they get to you? Dave Snowden:  We've open-sourced the Wiki, you know, to create a critical mass, I was really pleased we have 200 people volunteered to help populate it. So, we get the all the methods in the field guide them. And they're actively working at that at the moment, right, and on a call with them later. And to be honest, I've done 18-hour days, the last two weeks, but 8 hours of each of those days has been talking to the methods with a group of people Academy 5, that's actually given me a lot of energy, because it's huge. So, get involved, I think it's the best way… you best understand complexity by getting the principles and then practicing it. And the key thing I'll leave us with is the metaphor. I mentioned it a few times - a recipe book user has a recipe, and they follow it. And if they don't have the right ingredients, and if they don't have the right equipment, they can't operate. Or they say it's not ‘true Agile'. A chef understands the theory of cooking and has got served in apprenticeship. So, their fingers know how to do things. And that's… we need… a downside.. more chefs, which is the combination of theory and practice. And the word empirical is hugely corrupted in the Agile movement. You know, basically saying, ‘this worked for me' or ‘it worked for me the last three times' is the most dangerous way of moving forward. Ula Ojiaku:  Because things change and what worked yesterday might not work Dave Snowden:  And you won't be aware of what worked or didn't work and so on. Ula Ojiaku:  And there's some bias in that. Wouldn't you say? Dave Snowden:  We've got an attentional blindness if you've got Ula Ojiaku:  Great. And Dave, where can people find you? Are you on social media? Dave Snowden:  Cognitive. Yeah, social media is @snowded. Yeah. LinkedIn, Facebook and Twitter. Two websites – the Cognitive Edge website, which is where I blog, and there's a new Cynefin Center website now, which is a not-for-profit arm. Ula Ojiaku:  Okay. All these would be in the show notes. Thank you so much for your time, Dave. It's been a pleasure speaking with you. Dave Snowden:  Okay. Thanks a lot.

Episode Overview“We are all librarians” is a quote from this week's guest on the CDO Matters Podcast, Jessica Talisman, the Senior Information Architect at Adobe. In this episode, Malcolm and Jessica go deep on the topic of why Knowledge Management – including many of the concepts practiced for centuries by librarians – is increasingly becoming a ‘must have' skill in modern data organizations.Episode Links and ResourcesFollow Malcolm Hawker on LinkedInFollow Jessica Talisman on LinkedIn

In this episode, Eric Porres, the newly appointed Global Head of AI at Logitech, walks us through his mission to transform a 7,000-person organization into a team of AI-fluent knowledge workers. He shares what his first 100 days looked like—from running a company-wide GenAI survey to personally training over 800 colleagues—and how those efforts laid the foundation for a scalable, human-centered AI strategy.Eric talks about building a culture of “augmented intelligence,” not just through tooling, but through habits, champions, and real behavioural change. He shares practical frameworks—like using AI to improve your prompts, embracing long-form instructions, and designing with role-context-task-output in mind—and explains why measuring success goes beyond usage stats to include depth of interaction and employee NPS.The conversation also looks ahead to the agentic future: personalized AI teammates, embedded workflows, and custom knowledge bases. Whether you're leading AI at a global company or just trying to help your team get started, this episode is full of real-world insights on how to move from AI hype to meaningful adoption.Key Takeaways:AI Fluency Starts with Behaviour, Not Just Tools – Eric's approach isn't about pushing more AI - t's about teaching people how to think differently. From measuring conversation depth to rewriting prompt habits, Logitech is focused on real behavioural change.Train 800, Influence 7,000 – Before becoming Head of AI, Eric trained 800+ colleagues himself. That grassroots effort - combined with identifying “quiet champions” across teams- created the internal momentum for company-wide transformation.Build the Right Interface, Not Just the Right Model – A powerful insight: it's not which model you use, it's how people interact with it. Logitech prioritized intuitive, user-friendly AI experiences to meet employees where they work.From Individual Fluency to Agentic Teams –  Looking ahead, Eric envisions a world where employees work alongside custom AI agents. The future isn't just prompt mastery - it's knowing what to delegate, what to own, and how to manage an AI-augmented team.LinkedIn: Eric Porres | LinkedInLogitech: logitech.com/Eric's website: PorresPsychedelic GPT: Trippin' The Chat FantasticThese screenshots showcase how Eric Porres organizes AI research using NotebookLM, as discussed in the episode.NotebookLM Dashboard: NotebookLM Dashboard - Eric PorresNotebookLM Research: NotebookLM Research - March 9-15, 2025 00:00 Intro to Eric Porres 00:46 What the First 100 Days Look Like as Head of AI01:51 Measuring AI Adoption: Surveys, Usage & Quality05:34 Training 800 Colleagues: How Eric Taught AI Mastery19:50 From Side Role to Head of AI: Eric's Transition Story23:02 Scaling AI Across Teams: Tools, Access & Equity28:56 Choosing the Right Model for the Right Job30:28 Measuring Success: NPS, Feedback, and Real Usage32:05 The Rise of AI Champions and Teaching as Proof of Mastery34:31 Beyond Fluency: Preparing for the Agentic Future36:45 Atomizing Workflows: Making AI Work for You39:10 AI in Sales & Customer Service: The Agent Use Case43:26 Personal Knowledge Bases and AI-Augmented Thinking50:49 Final Thoughts and Takeaways 

In this episode, Jeffrey discusses the three important reasons to invest in a knowledge management program.Each week, Jeffrey will be sharing his knowledge on Service Delivery (Mondays) and Service Management (Thursdays).Jeffrey is the founder of Service Management Leadership, an IT consulting firm specializing in Service Management, Asset Management, CIO Advisory, and Business Continuity services.  The firm's website is www.servicemanagement.us.  Jeffrey has been in the industry for 30 years and brings a practical perspective to the discussions. He is an accomplished author with seven acclaimed books in the subject area and a popular YouTube channel with approximately 1,500 videos on various topics.  Also, please follow the Service Management Leadership LinkedIn page.

In the latest podcast episode (#120), we explore how replacing static web forms with an interactive bot Contact Us form can transform consumer engagement and streamline contact center operations. My colleague, @john Calhoun, Consumer Services Manager, at @McKee Foods Corp is here to help me with this topic.

On this episode of the Crazy Wisdom Podcast, host Stewart Alsop welcomes Jessica Talisman, a senior information architect deeply immersed in the worlds of taxonomy, ontology, and knowledge management. The conversation spans the evolution of libraries, the shifting nature of public and private access to knowledge, and the role of institutions like the Internet Archive in preserving digital history. They also explore the fragility of information in the digital age, the ongoing battle over access to knowledge, and how AI is shaping—and being shaped by—structured data and knowledge graphs. To connect with Jessica Talisman, you can reach her via LinkedIn.  Check out this GPT we trained on the conversation!Timestamps00:05 – Libraries, Democracy, Public vs. Private Knowledge Jessica explains how libraries have historically shifted between public and private control, shaping access to knowledge and democracy.00:10 – Internet Archive, Cyberattacks, Digital Preservation Stewart describes visiting the Internet Archive post-cyberattack, sparking a discussion on threats to digital preservation and free information.00:15 – AI, Structured Data, Ontologies, NIH, PubMed Jessica breaks down how AI trains on structured data from sources like NIH and PubMed but often lacks alignment with authoritative knowledge.00:20 – Linked Data, Knowledge Graphs, Semantic Web, Tim Berners-Lee They explore how linked data enables machines to understand connections between knowledge, referencing the vision behind the semantic web.00:25 – Entity Management, Cataloging, Provenance, Authority Jessica explains how libraries are transitioning from cataloging books to managing entities, ensuring provenance and verifiable knowledge.00:30 – Digital Dark Ages, Knowledge Loss, Corporate Control Stewart compares today's deletion of digital content to historical knowledge loss, warning about the fragility of digital memory.00:35 – War on Truth, Book Bans, Algorithmic Bias, Censorship They discuss how knowledge suppression—from book bans to algorithmic censorship—threatens free access to information.00:40 – AI, Search Engines, Metadata, Schema.org, RDF Jessica highlights how AI and search engines depend on structured metadata but often fail to prioritize authoritative sources.00:45 – Power Over Knowledge, Open vs. Closed Systems, AI Ethics They debate the battle between corporations, governments, and open-source efforts to control how knowledge is structured and accessed.00:50 – Librarians, AI Misinformation, Knowledge Organization Jessica emphasizes that librarians and structured knowledge systems are essential in combating misinformation in AI.00:55 – Future of Digital Memory, AI, Ethics, Information Access They reflect on whether AI and linked data will expand knowledge access or accelerate digital decay and misinformation.Key InsightsThe Evolution of Libraries Reflects Power Struggles Over Knowledge: Libraries have historically oscillated between being public and private institutions, reflecting broader societal shifts in who controls access to knowledge. Jessica Talisman highlights how figures like Andrew Carnegie helped establish the modern public library system, reinforcing libraries as democratic spaces where information is accessible to all. However, she also notes that as knowledge becomes digitized, new battles emerge over who owns and controls digital information​​.The Internet Archive Faces Systematic Attacks on Knowledge: Stewart Alsop shares his firsthand experience visiting the Internet Archive just after it had suffered a major cyberattack. This incident is part of a larger trend in which libraries and knowledge repositories worldwide, including those in Canada, have been targeted. The conversation raises concerns that these attacks are not random but part of a broader, well-funded effort to undermine access to information​​.AI and Knowledge Graphs Are Deeply Intertwined: AI systems, particularly large language models (LLMs), rely on structured data sources such as knowledge graphs, ontologies, and linked data. Talisman explains how institutions like the NIH and PubMed provide openly available, structured knowledge that AI systems train on. Yet, she points out a critical gap—AI often lacks alignment with real-world, authoritative sources, which leads to inaccuracies in machine-generated knowledge​​.Libraries Are Moving From Cataloging to Entity Management: Traditional library systems were built around cataloging books and documents, but modern libraries are transitioning toward entity management, which organizes knowledge in a way that allows for more dynamic connections. Linked data and knowledge graphs enable this shift, making it easier to navigate vast repositories of information while maintaining provenance and authority​​.The War on Truth and Information Is Accelerating: The episode touches on the increasing threats to truth and reliable information, from book bans to algorithmic suppression of knowledge. Talisman underscores the crucial role librarians play in preserving access to primary sources and maintaining records of historical truth. As AI becomes more prominent in knowledge dissemination, the need for robust, verifiable sources becomes even more urgent​​.Linked Data is the Foundation of Digital Knowledge: The conversation explores how linked data protocols, such as those championed by Tim Berners-Lee, allow machines and AI to interpret and connect information across the web. Talisman explains that institutions like NIH publish their taxonomies in RDF format, making them accessible as structured, authoritative sources. However, many organizations fail to leverage this interconnected data, leading to inefficiencies in knowledge management​​.Preserving Digital Memory is a Civilization-Defining Challenge: In the digital age, the loss of information is more severe than ever. Alsop compares the current state of digital impermanence to the Dark Ages, where crucial knowledge risks disappearing due to corporate decisions, cyberattacks, and lack of preservation infrastructure. Talisman agrees, emphasizing that digital archives like the Internet Archive, WorldCat, and Wikimedia are foundational to maintaining a collective human memory​​.

On this episode of Crazy Wisdom, host Stewart Alsop speaks with Andrew Altschuler, a researcher, educator, and navigator at Tana, Inc., who also founded Tana Stack. Their conversation explores knowledge systems, complexity, and AI, touching on topics like network effects in social media, information warfare, mimetic armor, psychedelics, and the evolution of knowledge management. They also discuss the intersection of cognition, ontologies, and AI's role in redefining how we structure and retrieve information. For more on Andrew's work, check out his course and resources at altshuler.io and his YouTube channel.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction and Guest Background00:33 The Demise of AirChat00:50 Network Effects and Social Media Challenges03:05 The Rise of Digital Warlords03:50 Quora's Golden Age and Information Warfare08:01 Building Limbic Armor16:49 Knowledge Management and Cognitive Armor18:43 Defining Knowledge: Secular vs. Ultimate25:46 The Illusion of Insight31:16 The Illusion of Insight32:06 Philosophers of Science: Popper and Kuhn32:35 Scientific Assumptions and Celestial Bodies34:30 Debate on Non-Scientific Knowledge36:47 Psychedelics and Cultural Context44:45 Knowledge Management: First Brain vs. Second Brain46:05 The Evolution of Knowledge Management54:22 AI and the Future of Knowledge Management58:29 Tana: The Next Step in Knowledge Management59:20 Conclusion and Course InformationKey InsightsNetwork Effects Shape Online Communities – The conversation highlighted how platforms like Twitter, AirChat, and Quora demonstrate the power of network effects, where a critical mass of users is necessary for a platform to thrive. Without enough engaged participants, even well-designed social networks struggle to sustain themselves, and individuals migrate to spaces where meaningful conversations persist. This explains why Twitter remains dominant despite competition and why smaller, curated communities can be more rewarding but difficult to scale.Information Warfare and the Need for Cognitive Armor – In today's digital landscape, engagement-driven algorithms create an arena of information warfare, where narratives are designed to hijack emotions and shape public perception. The only real defense is developing cognitive armor—critical thinking skills, pattern recognition, and the ability to deconstruct media. By analyzing how information is presented, from video editing techniques to linguistic framing, individuals can resist manipulation and maintain autonomy over their perspectives.The Role of Ontologies in AI and Knowledge Management – Traditional knowledge management has long been overlooked as dull and bureaucratic, but AI is transforming the field into something dynamic and powerful. Systems like Tana and Palantir use ontologies—structured representations of concepts and their relationships—to enhance information retrieval and reasoning. AI models perform better when given structured data, making ontologies a crucial component of next-generation AI-assisted thinking.The Danger of Illusions of Insight – Drawing from ideas by Balaji Srinivasan, the episode distinguished between genuine insight and the illusion of insight. While psychedelics, spiritual experiences, and intense emotional states can feel revelatory, they do not always produce knowledge that can be tested, shared, or used constructively. The ability to distinguish between profound realizations and self-deceptive experiences is critical for anyone navigating personal and intellectual growth.AI as an Extension of Human Cognition, Not a Second Brain – While popular frameworks like "second brain" suggest that digital tools can serve as externalized minds, the episode argued that AI and note-taking systems function more as extended cognition rather than true thinking machines. AI can assist with organizing and retrieving knowledge, but it does not replace human reasoning or creativity. Properly integrating AI into workflows requires understanding its strengths and limitations.The Relationship Between Personal and Collective Knowledge Management – Effective knowledge management is not just an individual challenge but also a collective one. While personal knowledge systems (like note-taking and research practices) help individuals retain and process information, organizations struggle with preserving and sharing institutional knowledge at scale. Companies like Tesla exemplify how knowledge isn't just stored in documents but embodied in skilled individuals who can rebuild complex systems from scratch.The Increasing Value of First Principles Thinking – Whether in AI development, philosophy, or practical decision-making, the discussion emphasized the importance of grounding ideas in first principles. Great thinkers and innovators, from AI researchers like Demis Hassabis to physicists like David Deutsch, excel because they focus on fundamental truths rather than assumptions. As AI and digital tools reshape how we interact with knowledge, the ability to think critically and question foundational concepts will become even more essential.

Send us a textSummary: Welcome to the final installment of our three-part series with Martin Vogel on the Customer Success Playbook Podcast! This week, we dive into the transformative role AI plays in global support frameworks—particularly in the hardware plus SaaS world. AI isn't just a buzzword; it's changing the way businesses handle predictive insights, proactive service, and internal efficiencies. From making sense of massive data streams to optimizing processes and improving coaching strategies, AI is proving to be a game-changer. If you've ever wondered how to harness AI for better customer outcomes, this episode is for you.Detailed Analysis: In this insightful conversation, Martin Vogel, alongside hosts Roman Trebon and Kevin Metzger, explores how AI is helping companies cut through the noise of massive hardware data and streamline support operations. AI-driven analytics offer a clearer picture of device performance, support tickets, and user behaviors, allowing businesses to shift from reactive to proactive service models.Kevin highlights how AI can structure knowledge bases, transforming recorded conversations into actionable insights—eliminating the need for manual documentation. The discussion also delves into AI's ability to free up developer time, ensuring that valuable resources are allocated toward customer-centric improvements rather than repetitive tasks. Meanwhile, Roman emphasizes AI's potential in coaching and training, making feedback loops more efficient and tailored.As AI continues to evolve, its role in customer success becomes more indispensable. Whether it's reducing inefficiencies, automating routine tasks, or enhancing learning, AI is redefining the way businesses engage with customers. Don't miss this deep dive into the intersection of AI, hardware, and customer success.Now you can interact with us directly by leaving a voice message at https://www.speakpipe.com/CustomerSuccessPlaybookPlease Like, Comment, Share and Subscribe. You can also find the CS Playbook Podcast:YouTube - @CustomerSuccessPlaybookPodcastTwitter - @CS_PlaybookYou can find Kevin at:Metzgerbusiness.com - Kevin's person web siteKevin Metzger on Linked In.You can find Roman at:Roman Trebon on Linked In.

Send us a textSummary: In this episode of the Customer Success Playbook, hosts Roman Trebon and Kevin Metzger sit down with Martin Vogel, an executive leader in global customer support and complex hardware-plus-SaaS solutions. They dive deep into the challenges of establishing a scalable, efficient global support framework and ensuring immediate and long-term value for customers. Martin shares practical strategies, including understanding regional differences, creating simple yet robust processes, and prioritizing clear communication. Tune in for actionable insights on balancing SaaS and hardware support, diagnosing technical issues effectively, and implementing a continuous learning framework for your support teams.Detailed Analysis: What does it take to build a world-class global support framework? According to Martin Vogel, it all starts with knowing where you are. Mapping out existing structures, understanding regional differences, and tailoring processes accordingly are critical first steps. With experience spanning multiple continents, Martin emphasizes the need for a structured yet flexible approach to global support.The conversation highlights key components of a strong support framework:Understanding regional nuances: Markets differ in their support structures and expectations. Europe's established systems contrast with the U.S.'s ground-up approach, necessitating a flexible global strategy.Defining simple, scalable processes: Complex frameworks don't work if they aren't easy to implement. Martin stresses the need for clarity in process creation.Effective communication across teams: Building a bridge between different support teams ensures alignment and consistency in customer experience.Balancing SaaS and hardware support: With hardware-origin companies increasingly incorporating SaaS, Martin discusses best practices for integrating both seamlessly.Training and knowledge management: He introduces an LMS-based approach to training, emphasizing problem diagnosis, knowledge base documentation, and incident reviews.The result? A structured, iterative approach that minimizes misdiagnoses, accelerates troubleshooting, and enhances customer satisfaction. Join us in this episode as we unpack these strategies and more.Now you can interact with us directly by leaving a voice message at https://www.speakpipe.com/CustomerSuccessPlaybookPlease Like, Comment, Share and Subscribe. You can also find the CS Playbook Podcast:YouTube - @CustomerSuccessPlaybookPodcastTwitter - @CS_PlaybookYou can find Kevin at:Metzgerbusiness.com - Kevin's person web siteKevin Metzger on Linked In.You can find Roman at:Roman Trebon on Linked In.

About Dr. Maria Ryan: Maria Ryan, DDS, PhD, is the Executive Vice President and Chief Clinical Officer at Colgate-Palmolive Company, where she oversees the Dental and Dermal Clinical teams, as well as the Knowledge Management and Scientific Communications departments. Before joining Colgate-Palmolive, Dr. Ryan was a Professor and Chair of the Department of Oral Biology and Pathology at Stony Brook University, where she focused on teaching, practicing periodontology, and conducting research. She is the former President of the American Association for Dental, Oral, and Craniofacial Research (AADOCR) and has served on various academic and foundation boards. Dr. Ryan has earned several honors, including NIH National Research Service Awards and a Physician Scientist Award. She was also the recipient of the American Dental Association's Achievement Award and the Victress Health Award for her contributions to women's health research. Dr. Ryan is a renowned speaker and author, frequently appearing in media to highlight the connection between oral and overall health.Things You'll Learn:Oral diseases are a global health crisis affecting 50% of the world's population and significantly impacting overall health.There is a critical disconnect between medical and dental care, leading to neglect of oral health's importance in overall well-being.Untreated oral diseases, like cavities and gum disease, can increase the risk of cardiovascular disease, stroke, diabetes, and adverse pregnancy outcomes.The "Oral Health Quotient" (OQ) aims to educate the public on their oral health knowledge and practices. Many people don't realize that cavities and gum disease are chronic inflammatory diseases that require treatment.Addressing periodontal disease can lead to reductions in medical costs related to conditions such as cardiovascular disease and diabetes.Preventive measures, like proper brushing, flossing, and limiting sugar, are crucial for avoiding most oral diseases.Resources:Connect with and follow Dr. Maria Ryan on LinkedIn.Discover more about Colgate-Palmolive on LinkedIn and their website.

Chris Clinard, Manager of Emerging Technologies at Samet Corporation, discusses how AI is transforming workflows and processes across industries. In the construction sector, AI is being used to track projects through 3D models, providing real-time visual insights into buildings under construction. He also highlights how AI helps companies extract meaningful insights from vast amounts of data, streamline customer onboarding, and efficiently address external queries. Additionally, Chris emphasizes AI's impact on documentation, ensuring it remains accessible to visitors and enabling users to find answers within seconds.

On this episode of the Crazy Wisdom Podcast, I, Stewart Alsop, sit down with Brendon Wong, the founder of Unize.org. We explore Brendon's work in knowledge management, touching on his recent talk at Nodes 2024 about using AI to generate knowledge graphs and trends in the field. Our conversation covers the evolution of personal and organizational knowledge management, the future of object-oriented systems, the integration of AI with knowledge graphs, and the challenges of autonomous agents. For more on Brendon's work, check out unize.org and his articles at web10.ai.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction to the Crazy Wisdom Podcast00:35 Exploring Unise: A Knowledge Management App01:01 The Evolution of Knowledge Management02:32 Personal Knowledge Management Trends03:10 Object-Oriented Knowledge Management05:27 The Future of Knowledge Graphs and AI10:37 Challenges in Simulating the Human Mind22:04 Knowledge Management in Organizations26:57 The Role of Autonomous Agents30:00 Personal Experiences with Sleep Aids30:07 Unique Human Perceptions32:08 Knowledge Management Journey33:31 Personal Knowledge Management Systems34:36 Challenges in Knowledge Management35:26 Future of Knowledge Management with AI36:29 Melatonin and Sleep Patterns37:30 AI and the Future of the Internet43:39 Reasoning and AI Limitations48:33 The Future of AI and Human Reasoning52:43 Conclusion and Contact InformationKey InsightsThe Evolution of Knowledge Management: Brendon Wong highlights how knowledge management has evolved from personal note-taking systems to sophisticated, object-oriented models. He emphasizes the shift from traditional page-based structures, like those in Roam Research and Notion, to systems that treat information as interconnected objects with defined types and properties, enhancing both personal and organizational knowledge workflows.The Future Lies in Object-Oriented Knowledge Systems: Brendon introduces the concept of object-oriented knowledge management, where data is organized as distinct objects (e.g., books, restaurants, ideas) with specific attributes and relationships. This approach enables more dynamic organization, easier data retrieval, and better contextual understanding, setting the stage for future advancements in knowledge-based applications.AI and Knowledge Graphs Are a Powerful Combination: Brendon discusses the synergy between AI and knowledge graphs, explaining how AI can generate, maintain, and interact with complex knowledge structures. This integration enhances memory, reasoning, and information retrieval capabilities, allowing AI systems to support more nuanced and context-aware decision-making processes.The Limitations of Current AI Models: While AI models like LLMs have impressive capabilities, Brendon points out their limitations, particularly in reasoning and long-term memory. He notes that current models excel at pattern recognition but struggle with higher-level reasoning tasks, often producing hallucinations when faced with unfamiliar or niche topics.Challenges in Organizational Knowledge Management: Brendon and Stewart discuss the persistent challenges of implementing knowledge management in organizations. Despite its critical role, knowledge management is often underappreciated and the first to be cut during budget reductions. The conversation highlights the need for systems that are both intuitive and capable of reducing the manual burden on users.The Potential and Pitfalls of Autonomous Agents: The episode explores the growing interest in autonomous and semi-autonomous agents powered by AI. While these agents can perform tasks with minimal human intervention, Brendon notes that the technology is still in its infancy, with limited real-world applications and significant room for improvement, particularly in reliability and task generalization.Reimagining the Future of the Internet with Web 10: Brendon shares his vision for Web 10, an ambitious rethinking of the internet where knowledge is better structured, verified, and interconnected. This future internet would address current issues like misinformation and data fragmentation, creating a more reliable and meaningful digital ecosystem powered by AI-driven knowledge graphs.

Welcome back to the Win Rate Podcast. Today Andy welcomes Mehdi Tehranchi, CEO of KnowledgeNet.ai, to discuss the transformative role of AI in sales, emphasizing the shift from transactional selling to a model focused on helping the buyer make a decision and creating relationships with a little help from AI, or as Mehdi likes to call it, 'augmented intelligence.' Mehdi highlights how AI can enhance decision-making, improve sales preparation, and foster better relationships between sellers and buyers. He and Andy also talk about the importance of differentiating in competitive markets and the need for companies to adopt AI strategically to maximize efficiency and effectiveness in their sales processes.Host Andy Paul is the expert on modern B2B selling and author of three best-selling, award-winning sales books, including his latest Sell Without Selling Out. Visit andypaul.com to subscribe to his newsletter for even more strategies and tips to accelerate your win rate.

In this episode of RCA Radio®, host Brandon Miller is joined by Anita Michael, Executive Pharma Compliance Expert & Principal Consultant and Rona LeBlanc-Rivera, Director, Regulatory Affairs both at Regulatory Compliance Associates®.  We explore possible changes in the Pharmaceutical industry in 2025 and provide you with insight on how to prepare yourself for these upcoming initiatives.Listen in as we go over the expected reduction in the FDA's work force, recently executed guidance documents, regulatory timelines, drug labeling transparency, the broadening scope of OTC products, the use of AI in the regulatory review, and how companies can use 3rd party inspections to help prepare themselves. About RCARegulatory Compliance Associates® (RCA) provides worldwide services to the following industries for resolution of compliance and regulatory challenges:PharmaceuticalBiologic & BiotechnologySterile compoundingMedical deviceWe understand the complexities of running a life science business and possess areas of expertise that include every facet of R&D, operations, regulatory affairs, quality, and manufacturing. We are used to working on the front lines and thriving in the scrutiny of FDA-and globally-regulated companies.As your partners, we can negotiate the potential minefield of regulatory, compliance, quality, and private equity due diligence with insight, hindsight, and the clear advantage of our unique expertise and experience.

Several manuscripts are adopting knowledge-based dynamic capabilities (KBDCs) as their main theoretical lens. However, these manuscripts lack consistent conceptualization and systematization of the construct. Consequently, the purpose of this study is to advance the understanding of KBDCs by – (a) clarifying the dominant concepts at the junction of knowledge management and dynamic capabilities domains, (b) identifying which emerging themes are gaining traction with KBDCs scholars, (c) demonstrating how the central thesis around KBDCs has evolved, and (d) explaining how can KBDCs scholars move towards finding a mutually agreed conceptualization of the field to advance empirical assessment.

938: Kristy Folkwein, Chief Information Officer of Archer Daniels Midland (ADM), shares how she has driven a comprehensive digital transformation at one of the world's largest food supply companies. From consolidating processes with S4 to leveraging generative AI for flavor innovation, Kristy explains the importance of data-driven decision-making and creating a digital-first culture. In this episode of Technovation, host Peter High interviews Kristy about her strategic approach to using data and AI to unlock operational efficiencies, safeguard proprietary information, and promote experimentation across the organization. Kristy also discusses the challenges of balancing innovation with managing cybersecurity risks, navigating subscription-based technologies, and building a sustainable digital culture.

On this episode of the Crazy Wisdom Podcast, host Stewart Alsop chats with Matthew Gialich, co-founder and CEO of AstroForge, about the fascinating world of asteroid mining. They explore how advances in technology and reduced launch costs are enabling humanity to tap into the untapped resources of metallic asteroids, the challenges of deep space operations, and the long-term vision for making asteroid mining economically viable. Listeners can follow AstroForge for updates on LinkedIn and Twitter, and connect with Matthew directly for inquiries on his LinkedIn or at matt@astroforge.io.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction to the Crazy Wisdom Podcast00:17 Asteroid Mining: Current Knowledge and Discoveries01:58 Near-Earth Asteroids and Their Potential04:08 The Value of Platinum Group Metals06:21 Spacecraft Operations and Human Involvement11:06 Asteroid Missions and Scientific Discoveries21:38 Economic and Environmental Implications of Space Mining27:04 Collaborating with SpaceX for Asteroid Missions27:42 Challenges and Opportunities in Moon Mining29:20 Navigating Gravity in Space Missions30:09 The Origin Story of Astroforge33:32 Asteroid Mining: Past and Present34:29 The Future of Space Industry and Business38:05 Radiation Challenges in Deep Space40:44 Thermal Management in Spacecraft42:43 Innovations in Robotics and Manufacturing45:37 The Role of Software in Space Startups50:10 Recruiting Top Talent for Astroforge51:37 Knowledge Management and Team Structure52:40 Staying Connected with AstroforgeKey InsightsAsteroid Mining is Becoming Feasible: Advancements in telescope technology and reduced launch costs are paving the way for asteroid mining to transition from science fiction to reality. AstroForge is focused on mining metallic asteroids rich in platinum group metals, which are critical for various industrial applications.Near-Earth Asteroids Offer Better Opportunities: Contrary to Hollywood depictions of mining in the asteroid belt, near-Earth asteroids are more accessible and practical targets for mining. These asteroids are closer to Earth and contain valuable materials, making them ideal for the initial stages of space resource exploitation.The Importance of Platinum Group Metals: Platinum, rhodium, palladium, and other platinum group metals are integral to modern technology, found in everything from electronics to industrial equipment. Mining these materials in space could revolutionize supply chains and reduce the environmental impact of terrestrial mining.The Role of Technology in Exploration: AstroForge uses cutting-edge sensors, spectrometry, and imaging systems to study and identify the best asteroids for mining. These technologies allow for remote analysis of asteroid composition, paving the way for efficient resource extraction missions.Spacecraft Design for Deep Space: AstroForge is designing spacecraft optimized for deep space exploration, which operate in the harsh conditions beyond Earth's gravity well. Challenges like radiation, thermal management, and propulsion systems are central to the company's engineering efforts.Economic and Environmental Impacts of Space Mining: Space mining has the potential to make terrestrial mining for certain materials economically obsolete, reducing environmental damage and the hazardous conditions associated with deep-earth mining operations. The company's vision includes making Earth a better place by shifting resource extraction to space.The Evolution of the Space Industry: The space sector is evolving rapidly, with private companies leading the charge in areas traditionally dominated by government agencies. AstroForge's mission is a testament to this shift, focusing on commercializing deep space exploration and mining with innovative strategies and cost-efficient technologies.

The Critical Process of Knowledge Management for Architecture FirmsHow can architecture firms better manage their collective expertise in an ever-changing technological landscape? In this episode, we sit down with Christopher Parsons, a technology leader in the AEC industry and the visionary behind Synthesis, Knowledge Architecture's groundbreaking intranet platform.Christopher shares his unconventional journey from history major to tech innovator, the evolution of his company, and how knowledge management can empower firms to thrive. We explore the role of AI in transforming how teams collaborate, the value of community-driven product development, and the challenges of fostering adaptability in a fast-paced industry.Whether you're an architect, designer, or tech enthusiast, this conversation offers insights into the intersection of technology, community, and intention in shaping the future of architectural practice.This week at EntreArchitect Podcast, The Critical Process of Knowledge Management for Architecture Firms with Christopher Parsons.Learn more about Christopher online at Synthesis, and find him on LinkedIn.Please visit Our Platform SponsorsGo to https://betterhelp.com/architect for 10% off your first month of therapy with BetterHelp and get matched with a therapist who will listen and help. Thank you to our sponsor BetterHelp for supporting our community of small firm entrepreneur architects.ARCAT.com is much more than a product catalog, with CAD, BIM, and specifications created in collaboration with manufacturers. ARCAT.com also offers LEED data, continuing education resources, newsletters, and the Detailed podcast. Visit https://ARCAT.com to learn more.Visit our Platform Sponsors today and thank them for supporting YOU... The EntreArchitect Community of small firm architects.Mentioned in this episode:ArchIT

Mr. Joe Koskey and Mr. Mike Kitchens from the Mission Command Center ofExcellence join Lieutenant Colonel Lisa Becker on today's episode about Knowledge Management (KM). They start off the discussion about the importance of the cognitive hierarchy in processing data to information, knowledge, and understanding. They discuss recent changes to ATP 6-01.01, Knowledge Management, including defining and assessing learning organizations.

Claude Baudoin, co-chair of several OMG task forces, including the AI Platform Task Force, discussed the timeliness of AI standards. He highlighted the need for standards to address interoperability and portability issues in AI, citing examples like the portability of neural network models and standardization of image classifiers. Baudoin emphasized OMG's open process for determining standards through RFIs, contrasting it with ISO's more guideline-focused approach. He encouraged active participation in OMG to shape standards, offering a competitive advantage in the market. OMG's efforts aim to provide concrete, technical standards, unlike ISO's general advice. Action Items [ ] Issue a request for information to determine needed AI standards. [ ] Get involved in OMG's standards development process by becoming a member and attending meetings. Outline Introduction and Participant Roles Karen Quatromoni introduces herself as the Director of Public Relations for Object Management Group (OMG) and welcomes Bill Hoffman, the OMG CEO and chairman. Claude Baudoin introduces himself as the owner and principal at cebe IT and Knowledge Management, based in San Rafael, California. Claude mentions his extensive background in software engineering, IT management, and his long association with OMG, including his roles in various task forces and working groups. The focus of the podcast is on AI standards, and Claude is co-chairing the AI Platform Task Force for OMG. Timing of AI Standards Bill Hoffman discusses the rapid evolution of AI and the timeliness of discussing AI standards. Claude shares an anecdote from 1993 about the premature standardization debate and how it eventually led to the development of the Unified Modeling Language (UML). The fundamental issue is that lack of standards can lead to significant time wasted on interoperability and portability issues, hindering innovation. The goal is to identify when standards are needed to allow developers to focus more on innovation rather than technical challenges. Examples of AI Standards Needed Claude explains the current work on portability of neural network models with the help of Zephyr Solutions. The challenge is that neural network models cannot be easily moved from one platform to another due to the lack of a standard representation. Another area of interest is image classifiers, where there is a need for a standard to handle large datasets and descriptions of images. Other potential standards include metadata for data sets and semantic tagging of information, which are widely needed. Determining AI Standards Bill asks how OMG determines which AI standards are needed. OMG has an open process that involves issuing requests for information (RFIs) to gather input from the general public, not just OMG members. In 2019, NIST issued an RFI, but it was five years old and did not address the current landscape, including the rise of large language models. OMG is considering issuing a new RFI to gather more up-to-date input on needed standards. OMG's Approach to AI Standards Bill inquires about how OMG's efforts differ from other organizations like ISO and IEEE. ISO's standards are more like guidelines, while OMG focuses on more precise, technically detailed standards. OMG collaborates with ISO and IEEE, feeding specifications to ISO and having a liaison with IEEE's project group on AI terminology and data formats. OMG's work is more concrete and provides specific models and formats for users and developers. Getting Involved in OMG ...