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. 4d ago

    AI in Healthcare: From Clinical Documentation to Agentic Coding

    Welcome, everyone, to Conversations on Applied AI. Today we're speaking with Taylor Wessels. Taylor is a healthcare product strategist who uses advanced technology and AI to deliver real results for clinicians, patients, and institutional stakeholders. He draws on his experience in clinical operations, enterprise software implementation, and agile product management to identify the root causes of problems that hold back health systems. Taylor is a senior product manager at Redox, where he leads the development, launch, and growth of agentic AI features in Redox's interoperability platform. Thank you, Taylor, so much for being on the Applied AI podcast today. If you are interested in learning how AI is being applied across multiple industries, join us at a future AppliedAI Monthly meetup and help support us as we plan future Emerging Technologies North non-profit events! Applied AIAppliedAI MeetupEmerging Technologies NorthResources and Topics Mentioned in this Episode  Redox — Healthcare Interoperability Platform - Taylor's current company, Redox provides a single API-based connection that bridges EHRs, providers, and digital health vendors, handling data normalization and enabling agentic AI features on top of clinical data. https://redoxengine.comHL7 / FHIR — Healthcare Data Exchange Standards - These content standards define how healthcare information—vital signs, blood pressure, heart rate—is packaged and shared between systems so everyone can decode it on the receiving end. FHIR (Fast Healthcare Interoperability Resources) is the current primary standard. https://hl7.org/fhir/Iodine Software — Clinical Documentation Integrity with AI - Taylor's former company uses machine learning, LLMs, and agentic AI to review clinical documentation in hospitals, find mismatches between what the clinical data shows and what was actually documented, and query physicians to close the gap. https://iodinesoftware.comVibe Coding — The AI-Powered Coding Revolution - Coined by Andrej Karpathy in February 2025, "vibe coding" describes a style of software development where non-engineers use AI tools to build functional apps and prototypes—democratizing software creation for people with mild to moderate technical fluency. - https://en.wikipedia.org/wiki/Vibe_codingApplied AI Minnesota - The nonprofit organization behind this podcast, based in Saint Paul, MN, dedicated to developing the next generation of AI leaders through conferences, monthly meetups, and the Conversations on Applied AI podcast. https://appliedai.mnBonus Links from This Episode Epic Systems (EHR) — The dominant electronic health record platform where Taylor began his career in implementation and training. → https://www.epic.comClaude (Anthropic) — The AI assistant Taylor uses daily for recognizing blind spots in product thinking and interpreting existing codebases. → https://claude.aiAmbient Listening / AI Scribes in Healthcare — Passive AI transcription technology that listens to doctor-patient encounters and generates clinical notes, solving the problem of physicians spending visits looking at a screen. → JAMA Network Open studyTeleTracking — Patient movement, discharge planning, and hospital logistics software where Taylor previously worked. → https://www.teletracking.comKodeHealth — A two-sided marketplace for medical coding (diagnosis and procedure code assignment) where Taylor gained startup experience. → https://www.kodehealth.comICD-10 Codes — The international diagnosis coding system Taylor discusses in the context of agentic AI for medical coding validation. → https://www.cdc.gov/nchs/icd/icd-10/Salesforce Health Cloud — Mentioned as part of custom integrations Taylor built at Mercy Health alongside Epic. → https://www.salesforce.com/health/Differential Diagnosis — The medical concept Taylor draws as a parallel to multi-agent AI: clinicians think broadly about possible causes, and AI can help surface blind spots the same way. → Wikipedia: Differential diagnosis

    AI in Healthcare: From Clinical Documentation to Agentic Coding

  2. Sep 29

    Mark Price - AI Is a Change Management Project, Not a Technology Project

    Welcome everyone to the Conversations on Applied AI podcast. Today we're speaking with Mark Price. Mark brings academic experience and a strong foundation in business analytics, change management, and curriculum development. He serves as a distinguished service professor and AI faculty lead at the University of St. Thomas, Opus College of Business. In this role, he focuses on designing and teaching innovative AI courses, training faculty and staff to leverage AI, and contributing to university-wide initiatives on AI's transformative role in education. Mark previously worked as chief data officer at CaringBridge, where he spearheaded the establishment of their first enterprise analytics function and supported a cultural shift toward a data-driven, customer-centered approach. So I'm truly excited for our conversation. Thank you, Mark, so much for being on the podcast today. If you are interested in learning how AI is being applied across multiple industries, join us at a future AppliedAI Monthly meetup and help support us as we plan future Emerging Technologies North non-profit events! Applied AIAppliedAI MeetupEmerging Technologies NorthResources and Topics Mentioned in this Episode Crossing the Chasm — Geoffrey Moore's classic book on the technology adoption lifecycle, applied by Mark to AI adoption within organizations. https://en.wikipedia.org/wiki/Crossing_the_Chasm Shadow AI — The use of AI tools by employees on personal devices without official organizational sanction or oversight. https://www.cisco.com/c/en/us/products/security/shadow-ai.html Ethan Mollick's AI Productivity Research — Professor at Wharton studying AI's impact on work and productivity, including the Procter & Gamble studies referenced by Justin. https://www.oneusefulthing.org/ Microsoft Copilot — The AI assistant referenced in the Chevron cautionary tale about deploying 20,000 licenses with zero results due to lack of training and change management. https://www.microsoft.com/en-us/microsoft-copilot Bayer — Global life sciences company whose new CEO restructured middle management to accelerate innovation and flatten approval layers. https://www.bayer.com Applied AI (podcast community & nonprofit) — Justin's organization hosting events, meetups, and conferences on applied AI in the Twin Cities. https://appliedai.mn Bonus links from the episode: University of St. Thomas, Opus College of Business: https://business.stthomas.edu/CaringBridge: https://www.caringbridge.orgChatGPT: https://chatgpt.comMark Price's Substack: https://substack.com/@profmarkprice

    Mark Price - AI Is a Change Management Project, Not a Technology Project

  3. Sep 15

    Sruthi Pisipati - Why Engineering Foundations Still Matter in the Age of Generative AI

    Welcome everyone to the Conversations on Applied AI podcast. Today we're speaking with Sruthi Pisipati. Shruthi is a software engineer turned data scientist with more than eleven years of experience across the consulting, IT, insurance, manufacturing, and medical device industries. She holds a Master's in Analytics from Georgia State University and a Bachelor's in Computer Science. In her current role as a principal data scientist at Boston Scientific, Shruthi builds AI-powered solutions that drive innovation in healthcare and manufacturing. Her expertise spans computer vision, generative AI, time series forecasting, and uncertainty quantification, with a focus on deploying trustworthy, scalable models in high-impact environments. Shruthi is a recognized speaker and thought leader in the AI space, with talks focused on optimization techniques, responsible AI practices, and real-world applications. Thank you, Shruthi, for taking the time to be on our podcast today.  If you are interested in learning how AI is being applied across multiple industries, join us at a future AppliedAI Monthly meetup and help support us as we plan future Emerging Technologies North non-profit events! Applied AIAppliedAI MeetupEmerging Technologies NorthResources and Topics Mentioned in this Episode "Attention Is All You Need" — The transformer architecture paper by Vaswani et al. (2017) https://arxiv.org/abs/1706.03762ChatGPT — OpenAI's conversational AI https://chatgpt.comClaude Code — Anthropic's AI coding assistant https://www.anthropic.com/claude-codeChris Gregory's LinkedIn article: "Code is cheap now, but software isn't". -https://www.chrisgregori.dev/opinion/code-is-cheap-now-software-isntHugging Face — Open-source model hub (visual-language models, etc.) https://huggingface.coConformal prediction / Uncertainty quantification — A statistical framework for calibrated prediction intervals. A good introductory resource: https://en.wikipedia.org/wiki/Conformal_predictionTime series foundation models — This is an emerging topic, not a single resource. Shruthi's upcoming talk compares these transformer-based models against classical approaches like ARIMA. For an overview: https://en.wikipedia.org/wiki/Autoregressive_integrated_moving_averageBonus links from the episode: Applied AI (podcast community): https://appliedai.mnTesseract (OCR): https://github.com/tesseract-ocr/tesseractGoogle Vision: https://cloud.google.com/visionAmazon Mechanical Turk: https://www.mturk.comBoston Scientific: https://www.bostonscientific.comNovelis: https://www.novelis.comAccenture: https://www.accenture.comGeorgia State University: https://www.gsu.eduLexisNexis Risk Solutions: https://risk.lexisnexis.com

    Sruthi Pisipati - Why Engineering Foundations Still Matter in the Age of Generative AI

  4. 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

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

  5. 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)

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

  6. 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

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

  7. 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

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

  8. 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

    Ren Bin Lee Dixon - Exploring Global AI Policies
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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!

Information

  • Creator
    Justin Grammens
  • Years Active
    2020 - 2026
  • Episodes
    116
  • Rating
    Clean
  • Copyright
    © 2026 Conversations on Applied AI
  • Show Website
    Conversations on Applied AI

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