Conversations on Applied AI

Justin Grammens

Welcome to the Conversations on Applied AI Podcast where Justin Grammens and the team at Emerging Technologies North talk with experts in the fields of Artificial Intelligence and Deep Learning. In each episode, we cut through the hype and dive into how these technologies are being applied to real-world problems today. We hope that you find this episode educational and applicable to your industry and connect with us to learn more about our organization at AppliedAI.MN. Enjoy!

  1. Tyler Moberg - Five Minutes a Day: Building an AI Habit That Transforms Your Work

    APR 21

    Tyler Moberg - Five Minutes a Day: Building an AI Habit That Transforms Your Work

    Welcome, everyone, to the Conversations on Applied AI podcast. Today we're talking with Tyler Moberg. Tyler is the founder and owner of Amplified Impact Solutions, where he helps leaders and teams actually use AI in their everyday work. He's trained more than 10,000 professionals since 2024, from Fortune 500 companies to nonprofits, educators to engineers, hr to finance. Prior to his own business, he was an instructional coach at Edina Public Schools and a training consultant at the Bob Pike Group. Tyler also sponsored and presented at our applied AI conference this past fall. I wanna personally thank him for giving back and supporting the applied AI community. Thank you, Tyler, so much for being on our podcast today.  If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events! Applied AIAppliedAI MeetupEmerging Technologies NorthResources and Topics Mentioned in this Episode The average AI prompt is only 7–9 words — based on a Google study, because people still treat AI like a search engine. Tyler argues a good prompt should be at least 21 words. He personally voice-dictates prompts that are "novel-length." (Hear the discussion)An engineer saved 80 hours of work in 90 minutes — Tyler helped a city public works engineering department build a NotebookLM tool to cross-reference three large mandate documents, eliminating a massive manual comparison task. (Hear the story)"The AI you use today is the worst AI you'll ever use" — a quote from Ethan Mollick cited during the episode, underscoring that resistance to AI now means falling further behind as the tools rapidly improve. (Hear the quote)Plaud Note Pro device records in-person and cross-platform meetings — a physical external recording device that attaches to your phone, is HIPAA-compliant, auto-generates transcripts and executive summaries, and integrates into AI workflows for proposals, coaching notes, and more. (Hear about it)NotebookLM can generate PowerPoint presentations — with a hidden "pencil" customization button before generating. The hack: export as PDF → import into Canva → use Magic Editor to make text editable. Tyler prefers this over Gamma for AI-generated decks. (Hear the tip)Claude's "Skills" feature allows you to save reusable workflows — Tyler demonstrated teaching Claude to write proposals by providing examples and a template, saving it as a skill, then calling it up any time with a new transcript. This dramatically speeds up proposal generation. (Hear the workflow)Book: The AI-Driven Leader by Jeff WoodsAI Mindsets course by Connor GrinTools discussed: Claude, ChatGPT, NotebookLM, Gamma, Canva, Plaud, Perplexity, Grok

    38 min
  2. Eric Lealos - Test Bench to Tech Stack: Applying AI in Manufacturing

    APR 7

    Eric Lealos - Test Bench to Tech Stack: Applying AI in Manufacturing

    Welcome, everyone, to the Conversations on Applied AI podcast. Today we're speaking with Eric Lelos, a data and analytics leader with more than 20 years of experience helping organizations make better decisions with data. Eric has worked across manufacturing, healthcare, and financial services. Building analytics and AI systems that connect complex technology to real-world operations. Alongside leading quantified mechanics, Eric is also a professional member of the Strategic Synergy Network, where he collaborates with other senior practitioners to help companies solve operational, financial, and strategic challenges without the overhead of full-time teams. His work spans data engineering, modern cloud analytics platforms, and AI-driven insights. If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events! Applied AIAppliedAI MeetupEmerging Technologies NorthResources and Topics Mentioned in this Episode Modern Data Stack (Snowflake, Databricks, DBT, Fivetran)https://www.getdbt.com | https://www.snowflake.com | https://www.databricks.com | https://www.fivetran.comQuantified Mechanics' Test Bench Solutionhttps://quantifiedmechanix.com/Agentic AI & LLMs in Productionhttps://www.langchain.com (framework for building agentic LLM workflows)ChatGPT / Generative AI as a Work Acceleratorhttps://chat.openai.com | https://www.perplexity.aiThe AI Adoption Gap — Further Readinghttps://www.gartner.com/en/research/methodologies/gartner-hype-cycle (Gartner Hype Cycle)

    41 min
  3. Peter Olson-Skog - How AI Is Forcing Schools to Rethink Learning

    JAN 20

    Peter Olson-Skog - How AI Is Forcing Schools to Rethink Learning

    Today, we're talking with Dr. Peter Olson-Skog. Peter is the Chief Administrative Officer of School District 197. He was named a Richard Green Scholar for his doctoral research, which described how district offices can support and empower principals. He's also been an assistant superintendent, principal, and director of teaching and learning. Peter holds a BA in elementary education, an MA in human resource development, and a PhD in educational leadership and policy. Most recently, Peter has been leading his district and exploring how transformative the role of AI and artificial intelligence in education is, from empowering teachers to integrate AI tools responsibly to preparing students to graduate as AI-literate and ready for the future. He's been co-leading district-wide fishbowl discussions on AI readiness for both students and faculty on how schools can navigate this new frontier. Peter's a thought leader in AI and education and policy, helping shape how K-12 systems can thoughtfully adapt to ensure the next generation is ready to thrive in an AI-driven world. If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events! Applied AIAppliedAI MeetupEmerging Technologies NorthResources and Topics Mentioned in this Episode How School Districts Are Crafting AI Policy on the Fly -https://www.edweek.org/technology/how-school-districts-are-crafting-ai-policy-on-the-fly/2025/10Rising Use of AI in Schools Comes With Big Downsides for Students -https://www.edweek.org/technology/rising-use-of-ai-in-schools-comes-with-big-downsides-for-students/2025/10Teachers and Parents Weigh Benefits and Risks of Artificial Intelligence in Schools - https://www.pbs.org/newshour/show/teachers-and-parents-weigh-benefits-and-risks-of-artificial-intelligence-in-schoolsWhich States Require Schools to Have AI Policies - https://www.edweek.org/technology/which-states-require-schools-to-have-ai-policies/2025/09AI in Schools: Pros and Cons – College of Education - https://education.illinois.edu/about/news-events/news/article/2024/10/24/ai-in-schools--pros-and-cons

    39 min
  4. Thomas Feeney - AI, Philosophy, and the Future of Leadership

    JAN 5

    Thomas Feeney - AI, Philosophy, and the Future of Leadership

    Today, we're talking with Thomas Feeney, Associate Professor of Philosophy and Director of the Master of Arts and Artificial Intelligence Leadership at the University of St. Thomas. Thomas now leads this one-of-a-kind program, which blends technical understanding with the critical thinking, foresight, and communication needed for responsible AI leadership. With more than a decade in academia and a foundation philosophy, he helps organizations and leaders assess AI strategic implications. Translate complex ideas into practical action. He holds a PhD from Yale University and an MA in philosophy from Notre Dame. Thank you, Thomas, for being on the program today! If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events! Applied AIAppliedAI MeetupEmerging Technologies NorthResources and Topics Mentioned in this Episode How AI Is Reshaping the Talent Pipeline and Career Development – As AI transforms job roles and skills needs, leaders are rethinking how to build talent pipelines that prepare workers for the evolving world of work and help organizations compete. https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/building-a-talent-pipeline-for-the-ai-era AI’s Critique of Higher Education and Learning Itself – A provocative analysis argues that generative AI is significantly disrupting traditional university learning, academic integrity, and the meaning of earning a degree. https://www.currentaffairs.org/news/ai-is-destroying-the-university-and-learning-itself Partnerships Between People and AI in the Future of Work – Research highlights how AI agents, robots, and humans will collaborate in the workforce, reshaping job tasks, skills, and organizational structures. https://www.mckinsey.com/mgi/our-research/agents-robots-and-us-skill-partnerships-in-the-age-of-ai Generative AI’s Impact on American Workers and the Future of Jobs – Analysis from a leading think tank explores what generative AI means for labor markets, outlining both risks and opportunities for workers. https://www.brookings.edu/articles/generative-ai-the-american-worker-and-the-future-of-work/ Ethical Challenges and Academic Integrity in AI-Driven Education – An overview of how AI affects learning environments, including concerns about over-reliance, accuracy, and integrity in educational settings. https://en.wikipedia.org/wiki/Artificial_intelligence_in_education

    30 min
  5. Ren Bin Lee Dixon - Exploring Global AI Policies

    11/25/2025

    Ren Bin Lee Dixon - Exploring Global AI Policies

    Today we're talking with Ren Bin Lee Dixon. Renin comes to the podcast with a deep experience in public and artificial intelligence policy. She's experienced in the research and analysis of issues at the intersection of technology, socioeconomics, and politics, with an international and diverse professional background in academia, public and private sectors.  She's currently a research fellow at the Center for AI and Digital Policy, where she drafts AI policy statements and comments to local and global regulatory bodies with a focus on human rights, democratic values, and the rules of law. A graduate of the Humphrey School of Public Affairs, her master's thesis entitled AI Governance, A Comparative Analysis of China, the European Union, and the United States was awarded an excellence in global policy in 2022. She also previously has been a marketing and PR specialist with more than 15 years of professional experience in the private sector, including starting an online retail business. Thank you, Ren bin, for being on the podcast today.  If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events! Applied AIAppliedAI MeetupEmerging Technologies NorthResources and Topics Mentioned in this Episode The Challenge of Regulating AI in the US – Lawmakers are struggling to keep up with AI’s rapid evolution, resulting in gaps in oversight and accountability. https://www.congress.gov/crs-product/R48555 How Algorithms Incentivise Engagement – Social-media ranking algorithms optimise for clicks and shares, often amplifying polarising or sensational content. https://pmc.ncbi.nlm.nih.gov/articles/PMC11894805/ AI as a Foundational Technology – Artificial intelligence is moving beyond niche applications to become a core infrastructure across industries and business models. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-next-innovation-revolution-powered-by-ai The Information Integrity Challenge – The rapid spread of misinformation and disinformation is undermining trust in digital ecosystems and societal decision-making. https://www.oecd.org/content/dam/oecd/en/publications/reports/2024/03/facts-not-fakes-tackling-disinformation-strengthening-information-integrity_ff96d19f/d909ff7a-en.pdf Can AI Help Regulate AI? – Researchers and policymakers are exploring whether AI-based tools can monitor, audit, and govern other AI systems to ensure fairness and safety. https://academic.oup.com/policyandsociety/article/44/1/85/7684910

    30 min
  6. Dr. Elizabeth M Adams - Harnessing AI Responsibly

    11/03/2025

    Dr. Elizabeth M Adams - Harnessing AI Responsibly

    Today, we're talking with Dr. Elizabeth M. Adams. Elizabeth is the Chief Engagement Officer at the Minnesota Responsible AI Institute and the CEO of EMA advisory services, where she curates knowledge-exchange initiatives with global leaders on the critical importance of responsible AI. She believes that responsible AI equals a better Minnesota to both preserve our state's natural resources and promote sustainable economic growth. She's an author, TEDx speaker, and keynote speaker sharing her leadership of a responsible AI framework, which helps organizations sustain employee engagement. And I'm super excited for our listeners here to learn more about this framework and how they can apply it within their business and professional career. If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events! Emerging Technologies NorthAppliedAI MeetupResources and Topics Mentioned in this Episode Becoming Invisible in the Age of AI How individuals and communities risk being overlooked or "invisible" as AI systems make decisions that affect their lives. Learn more about algorithmic invisibilityDiscovering AI Bias and Building Ethics Principles The process of uncovering bias in AI and the importance of establishing ethical guidelines for development and deployment. Read about AI ethics and biasHow Bias Creeps into AI Systems A discussion on the subtle ways bias can enter AI models, from data collection to algorithm design. Explore how bias enters AIThe Urgency of Responsible AI Adoption Why organizations and society must prioritize responsible AI practices now, not later. Responsible AI: Why it matters nowLinking Responsible AI to Natural Resources Drawing parallels between responsible AI stewardship and the management of natural resources. Responsible AI and sustainabilityElizabeth's Journey into Responsible AI Dr. Elizabeth M. Adams shares her personal path and motivations for focusing on responsible AI. About Dr. Elizabeth M. AdamsThe Leadership of Responsible AI Framework An overview of frameworks and leadership principles guiding responsible AI implementation. Responsible AI leadership frameworksCommunity Engagement and Launching EMA Advisory The importance of community involvement in AI and the founding of EMA Advisory Services. EMA Advisory Services

    38 min
  7. David Quimby - Systematic Innovation and the Art of AI:

    10/27/2025

    David Quimby - Systematic Innovation and the Art of AI:

    The conversation this week is with David Quimby. David is a principal at Innovation Radiation, specializing in systematic innovation, experimental design, and technology forecasting. He is a patented inventor in web architecture and user experience, and co-founder of the Minnesota Change Management Network. David holds a BA in Mathematical and Developmental Economics from UCLA and a Master’s in Organizational Behavior and Sociotechnical Systems from UC Berkeley. With extensive experience in technology analysis, consulting, and product discovery, David is passionate about bridging technical and social systems to drive innovation. He has been an active member of the applied AI community, sharing his expertise at events and workshops. He is dedicated to advancing the field of AI through both practical application and thought leadership.  If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events! Emerging Technologies NorthAppliedAI MeetupResources and Topics Mentioned in this Episode Systematic Innovation Systematic Innovation OverviewDesign Patterns (Christopher Alexander) Design Patterns: Christopher AlexanderLateral Thinking (Edward de Bono) Lateral Thinking by Edward de BonoTRIZ (Theory of Inventive Problem Solving) TRIZ MethodologyMorphological Analysis (Fritz Zwicky) Morphological AnalysisHuman-Centric Design (Doug Engelbart) Doug Engelbart and Human-Centric DesignAI Alignment and Hallucination AI Alignment ProblemMatrix Mentor (Custom GPT by David Quimby & Dan Olson) Matrix Mentor

    45 min

Ratings & Reviews

5
out of 5
6 Ratings

About

Welcome to the Conversations on Applied AI Podcast where Justin Grammens and the team at Emerging Technologies North talk with experts in the fields of Artificial Intelligence and Deep Learning. In each episode, we cut through the hype and dive into how these technologies are being applied to real-world problems today. We hope that you find this episode educational and applicable to your industry and connect with us to learn more about our organization at AppliedAI.MN. Enjoy!

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