Podcasts about ai literacy

Step inside a conversation on the art and architecture of AI transformation. Vedran Karamani, Group Data Analytics & Agentic AI – CDAIO at Alghanim Industries, shares how he's embedding intelligence across one of the Middle East's largest conglomerates. He breaks down what it takes to make AI approachable in the boardroom, why data literacy is now a business imperative, and how to balance innovation with operational reality. Discover how Vedran is redefining the role of data, technology, and human insight in shaping the next generation of enterprise transformation.Key Moments:From Deterministic to Probabilistic Thinking (10:19): Vedran explains how today's AI shifts decision-making from predictable, rules-based systems to adaptive, probabilistic ones. He shares how leaders must learn to balance control with flexibility to build trust in AI's potential while managing its unpredictability.AI Literacy in the Boardroom (12:55): Vedran emphasizes that real transformation begins with leadership understanding. He shares how he uses storytelling and analogies to educate executives on AI fundamentals, turning abstract concepts like “deterministic vs. probabilistic” into relatable, actionable insights.The Readiness Factor (17:29): Not every business is equally prepared for AI. Vedran breaks down the difference between change management and change readiness, urging leaders to assess cultural alignment, technical infrastructure, and data maturity before diving into transformation.Data as the Differentiator (25:15): Vedran argues that as algorithms become commoditized, competitive advantage will come from the quality and context of a company's data. He outlines how clean, well-modeled, and contextualized data will form the backbone of any successful AI strategy.The Middle East's AI Momentum (32:05): Vedran highlights how ambition, experimentation, and government investment are fueling rapid AI growth across the Middle East. He contrasts this energy with slower-moving Western markets, suggesting the region's “learn fast” mindset could shape the future of global innovation.Key Quotes:"Today, no business has an excuse not to be data-driven.” - Vedran Karamani“ With today's AI, we are almost unleashing this immense power that's very probabilistic… We need to learn how to coexist with that and how to leverage it for the greatest benefit of our businesses.” - Vedran Karamani“ If you want to stand the chance to have AI help you transform your business, you better get your data to a certain standard for that to be even possible.” - Vedran KaramaniMentionsDemis Hassabis, CEO of DeepMind TechnologiesGuest Bio With over two decades at the forefront of Data Analytics and AI leadership, Vedran Karamani charted a path of innovation across global landscapes, from the dynamic markets of the Middle East to the dynamic tech hubs of North America. Guiding multi-million-dollar portfolios, Vedran pioneered disruptive solutions, propelling sectors like Aviation, Retail, Telecom, Defense, Oil & Gas, Digital, Logistics, and Education into the future.Renowned for his collaborative leadership approach, Vedran empowered diverse teams to navigate challenges with agility, fostering an environment of continuous growth and individual excellence. From concept to execution, he's led the charge in delivering game-changing strategies, business cases, and prototypes, ensuring organizations stay ahead in today's rapidly evolving landscape. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

On this episode of In AI We Trust?, EqualAI President and CEO Miriam Vogel speaks with Axios Chief Technology Correspondent Ina Fried about how AI and this moment in technology compares to other earlier moments of transformation and Ina's role as a journalist writing the Axios AI+ newsletter and putting together Axios's AI+ Summits. In the episode, Ina discusses how AI is impacting jobs and her own work as a journalist, the complexity involved in building AI into human processes, and her hopes for the future of AI. You will not want to miss Ina's sharp insights in this latest episode. Tune in now!

What does it say about the future of work when AI competency starts to feel as expected as basic reading? That question sat with me throughout my latest conversation with Artem Kroupenev, VP of Strategy at Augury, who returns to the show with a perspective that lands with fresh clarity. Workforce costs remain high, industries are shifting, and the job market continues to reset its foundations. In that environment, Artem argues that AI literacy is no longer something ambitious candidates use to stand out. It is becoming a baseline expectation that employers will quietly assume. The way we talk about skills is changing, and the speed of that shift matters. Across our discussion, Artem reflects on how this transition is unfolding inside factories and industrial operations, where Augury has spent the last decade building predictive machine health systems. He describes a world where AI takes on tasks, not entire roles, and where the real opportunity for workers sits in judgment, collaboration, and the kind of problem solving that software cannot replicate. He highlights patterns from the SOPH 2025 data that show strong confidence across manufacturing leaders, yet also reveal a gap between optimism and real capability. It paints a picture of an industry moving quickly, yet still learning how to measure and translate AI value into outcomes people can trust. What struck me most was how Artem links mindset to readiness. Individuals who treat AI as a companion in their daily workflow, rather than a novelty to test occasionally, start building the fluency that future roles will quietly demand. Employers who approach AI simply as a tool upgrade often overlook the harder work of reshaping processes, KPIs, and expectations. And the organisations that fail to adapt risk widening the gap between AI empowered and AI hesitant teams, something Artem believes will show up in hiring, competition, and long term viability. This conversation looks beyond the usual headlines about automation and considers what the next five years might actually feel like for people joining the workforce or leading teams through change. If AI becomes as expected as reading and writing, what does that mean for education, career paths, and employer responsibility? I would love to hear your view. Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

Send us a textMireia Torello is the CEO and co-founder of Aikreate, an EdTech company revolutionizing AI Literacy for students and educators worldwide. With a PhD in Earth Sciences and an Executive MBA from IESE Business School, Mireia brings a unique mix of scientific and entrepreneurial experience. She has led Aikreate through partnerships with schools, universities, and governments and has been recognized at top innovation forums like SXSW EDU and ASU+GSV's Women in AI. Her mission: make AI accessible, ethical, and empowering for the next generation.

SummaryIn this episode of AI in Action, hosts Maurie and Jim Beasley discuss their experiences with artificial intelligence, the challenges of technology in education, and the importance of AI literacy. They explore disparities in access to AI tools by socioeconomic status and emphasize the need for a deeper understanding of AI beyond surface-level knowledge. The conversation also touches on upcoming events, including book signings and community engagement initiatives.TakeawaysAI literacy is crucial for the workforce of the future.There is a significant gap in AI education for students.Socioeconomic status affects access to AI technology.AI should be taught in schools to ensure equity.Understanding AI requires more than just using it.The conversation around AI must include its potential risks.Healthy skepticism of AI is necessary for critical thinking.AI literacy tools can help bridge the knowledge gap.Community engagement is vital for promoting AI education.Upcoming events highlight the importance of AI discussions.Chapters00:00 Introduction and Technical Challenges01:21 Conversations on AI and Education03:27 AI Literacy and Workforce Preparedness06:06 Core Problems in AI Literacy09:59 Disparities in AI Access12:38 Bubbles vs. Waves in Technology14:51 The Role of AI in Education17:05 Creating AI Literacy Tools19:20 Upcoming Events and Book Signings

Es gibt derzeit kein Thema, das so viele bewegt wie Künstliche Intelligenz. KI stellt die Zukunft der Arbeit auf den Kopf, Standorte vor große Herausforderungen, und Startups vor neue Chancen. Genau diese Themen diskutieren wir heute im Podcast, und zwar mit:Andreas Dillinger (Standortanwalt der Wirtschaftskammer Wien)Philip Panwinkler (CEO & Co-founder go ai)Ruben Hetfleisch (CEO & Co-founder klartext ai)Moderation: Jakob Steinschaden (Co-founder Trending Topics & newsrooms)Die Themen:

AI is already shaping school, work, and friendships. This episode offers clear, evidence-aware guidance so teens, families, and classrooms can use AI well and stay safe.A live AI large language model joins as a co-host to demo prompts, explain choices in plain English, and model healthy boundaries. We define “hallucinations” (AI outputs that sound confident but aren't backed by reliable sources), cover privacy basics, and outline smart safety habits without fear-mongering. We also highlight human skills that grow in value in the AI era: critical thinking, media literacy, empathy, and creativity.You'll walk away with:A simple “trust but verify” workflow for checking AI answersWays to keep sensitive info private and review tool settingsA shared prompt log idea for families or classesWhen and how to cross-check with reputable sources (esp. health, finance, legal)Beginner-friendly ways to use AI for studying, brainstorming, and accessibilityShare this episode with a parent, teacher, counselor, or teen who's learning AI—and start the conversation together.Grow with us: Website: Thoughtsofanempath.org Instagram: @HumanLevelConversations Join the Human Thoughts Online Community: https://discord.gg/vfTYJsChTj

In this episode, we connect with Brett Roer, CEO and Founder of Amplify & Elevate Innovation to discuss how districts can build AI literacy through effective professional development for their principals and teachers. Listen in for practical strategies to help prepare your school community to harness the power of AI to create more flexible learning environments for students with disabilities and learning differences.   Access the full transcript: bit.ly/5MW_Amplify_Elevate

PREVIEW. The Crisis of AI Literacy: Protecting Vulnerable Communities from Misusing Chatbots. Kevin Frazier discusses the dangers of young people misusing AI chatbots due to a significant lack of public awareness and basic AI literacy. Designers assume users know chatbots are merely objectification and optimization, not real opinions or people. Frazier stresses the need for educating consumers on the best and improper uses of these tools for responsible innovation. 1951

A quick episode with some tips about AI literacy, protecting one's data, developing policies, and other considerations when it comes to AI. About RachelleEducator, Keynote Speaker, Consultant, Attorney, and AuthorSubscribe to my ⁠newsletter.Check out my ⁠ blog and submit a guest blog.Contact me for speaking & training related to AI, AI and the law, Cybersecurity, SEL, STEM, and more! bit.ly/thriveineduPDInterested in a sponsored podcast or collaboration? Contact me! Rdene915@gmail.com

This episode of the Scope of Things features an exclusive panel at SCOPE Europe 2025 covering regulatory requirements for AI literacy training, featuring industry executives Jonathan Crowther, head of the operational design center at Merck KGaA; Janie Hansen, global development information management, business systems transformation at Daiichi Sankyo; Francis Kendall, head of statistical programming, digital and data sciences at Biogen; and James Weatherall, vice president and chief data scientist of biopharmaceuticals R&D at AstraZeneca. Plus, host Deborah Borfitz gives the latest news on efforts to reduce excess data collection in studies, whole genome sequencing of breast cancer, a virus cocktail to combat superbugs, and more. Show Notes News Roundup   Collaborative study on data collection in trials News posted on the TransCelerate website Heart benefits of semaglutide Study in The Lancet Whole genome sequencing of breast cancers Study in The Lancet Oncology Pan-cancer immunotherapy heads to trials Research article in Cell Article in Bio-IT World Promising NAD+ “youth molecule” Review article in Nature Aging  Virus cocktail to combat superbugs Article in Nature Microbiology AI annotates medical images News posted on the MIT website Fitbits aid precision health American Life in Realtime study in PNAS Nexus Latest from the Human Epilepsy Project Study in JAMA Neurology Imposter study participants Editorial in The BMJ Guests Jonathan Crowther, Ph.D., Head, Operational Design Center, Merck KGaA, Darmstadt, Germany Janie Hansen, Global Development Information Management, Business Systems Transformation, Daiichi Sankyo Francis Kendall, Head of Statistical Programming, Digital and Data Sciences, Biogen James Weatherall, Ph.D., Vice President & Chief Data Scientist, BioPharmaceuticals R&D, AstraZeneca  The Scope of Things podcast explores clinical research and its possibilities, promise, and pitfalls. Clinical Research News senior writer, Deborah Borfitz, welcomes guests who are visionaries closest to the topics, but who can still see past their piece of the puzzle. Focusing on game-changing trends and out-of-the-box operational approaches in the clinical research field, the Scope of Things podcast is your no-nonsense, insider's look at clinical research today.

Techno-philosopher Eliezer Yudkowsky recently went on Ezra Klein's podcast to argue that if we continue on our path toward superintelligent AI, these machines will destroy humanity. In this episode, Cal responds to Yudkowsky's argument point by point, concluding with a more general claim that these general styles of discussions suffer from what he calls “the philosopher's fallacy,” and are distracting us from real problems with AI that are actually afflicting us right now. He then answers listener questions about AI, responds to listener comments from an earlier AI episode, and ends by discussing Alpha schools, which claim to use AI to 2x the speed of education. Below are the questions covered in today's episode (with their timestamps). Get your questions answered by Cal! Here's the link: bit.ly/3U3sTvoVideo from today's episode: youtube.com/calnewportmediaDeep Dive: The Case Against Superintelligence [0.01]How should students think about “AI Literacy”? [1:06:35]Did AI blackmail an engineer to not turn it off? [1:09:06]Can I use AI to mask my laziness? [1:12:31]COMMENTS: Cal reads LM comments [1:16:58]CALL: Clarification on Lincoln Protocol [1:21:36]CAL REACTS: Are AI-Powered Schools the Future? [1:24:46]Links:Buy Cal's latest book, “Slow Productivity” at calnewport.com/slowGet a signed copy of Cal's “Slow Productivity” at peoplesbooktakoma.com/event/cal-newport/Cal's monthly book directory: bramses.notion.site/059db2641def4a88988b4d2cee4657ba?youtube.com/watch?v=2Nn0-kAE5c0alpha.school/the-program/astralcodexten.com/i/166959786/part-three-how-alpha-works-partThanks to our Sponsors: byloftie.com (Use code “DEEP20”)expressvpn.com/deepshopify.com/deepvanta.com/deepquestionsThanks to Jesse Miller for production, Jay Kerstens for the intro music, and Mark Miles for mastering. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Discover how educators are using generative AI not to automate, but to elevate critical thinking and collaboration in K-12 schools. In this episode of Shifting Schools, host Tricia Friedman shows how "disagreement by design" and intentional prompt-engineering transform student and leadership learning. What you'll learn: What disagreement by design looks like in real classrooms and leadership teams How prompt engineering unlocks student curiosity and systems-thinking mindset in K-12 Why writing bespoke GPT bots might just be the 'new essay' of our times Who this episode is for: Any educator, school leader or district-innovator exploring how to responsibly integrate companion AI, AI avatars and prompt-driven dialogue into a learning ecosystem.

This episode of the podcast tackles the issue of how we, as educators, might engage with GenAI in our classrooms and features Dr Michelle Kassorla, an Associate Professor of English at Georgia State University, Perimeter College. Michelle has served as a Chair and Expert Panel member for Educause, a non-profit association dedicated to transforming Higher Education through technology. She has co-written the AI Literacy in Teaching and Learning framework for Educause and has published elsewhere on the value of teaching with GenAI. She also writes the substack “The Academic Platypus,” where she advocates strongly for educators to embrace AI in the classroom. In the episode, she outlines practical approaches to teaching with AI, ways of rethinking Bloom's taxonomy and assessment, the value of human empathy and creativity, and the huge impact that AI agents are likely to have in the coming months.Further Reading:Understanding Inverted Bloom's Taxonomy - https://michellekassorla.substack.com/p/understanding-inverted-bloomsThe Academic Platypus - https://michellekassorla.substack.comBoodle Box AI - https://boodlebox.ai

Wie gut ist Deutschland wirklich aufgestellt, wenn es um Data Literacy geht? Warum ist Datenkompetenz längst mehr als ein Spezialthema für Analysten – und was bedeutet sie konkret für Unternehmen, Verwaltung und Gesellschaft? Darüber spricht Host Jonas Rashedi mit Katharina Schueller, Gründerin und CEO von STAT-UP. Sie arbeitet seit über 22 Jahren im Bereich Statistik und Datenanalyse und leitet heute eine internationale IEEE-Arbeitsgruppe, die globale Standards für Data & AI Literacy entwickelt. Im Gespräch geht es zunächst um die Entwicklung der letzten zwei Jahrzehnte – vom datengetriebenen Nischenthema hin zu einem kulturellen Kern der Digitalisierung. Katharina erklärt, warum Unternehmen sich zu lange auf Effizienz und Automatisierung konzentriert haben und jetzt den Schritt hin zu echter Effektivität und Verantwortung gehen müssen. Ein Highlight ist ihr Beispiel aus der Automobilbranche, wo aus einem konkreten Use Case zur Tachomanipulation plötzlich ein ganz neues datenbasiertes Geschäftsmodell entstand. Von dort aus spannt sich der Bogen hin zu den großen Fragen: Wie misst man eigentlich Datenqualität? Welche Rolle spielt Kontext beim Interpretieren von Ergebnissen? Und wie kann man mit der „zirkulären Datenkompetenz“ sicherstellen, dass Datenverständnis nicht nur in der IT, sondern in allen Fachbereichen ankommt? Besonders eindrucksvoll: Katharina erzählt von einem Forschungsprojekt mit dem Zoll, bei dem es nicht um Technologie, sondern um Vertrauen, Praxis und Augenhöhe ging. Dort zeigt sich, dass Data Literacy nicht gelehrt, sondern gemeinsam gelebt werden muss – und dass Offenheit oft wirksamer ist als jede Schulung. Zum Schluss sprechen Jonas und Katharina über Ethik, Verantwortung und die Grenzen der Erklärbarkeit von KI. Denn Transparenz bedeutet immer auch, Macht zu teilen – und genau das macht echte Aufklärung aus. MY DATA IS BETTER THAN YOURS ist ein Projekt von BETTER THAN YOURS, der Marke für richtig gute Podcasts. Zum LinkedIn-Profil von Katharina: https://www.linkedin.com/in/schuellerstats/ Zur Webseite von STAT-UP: https://www.linkedin.com/company/stat-up/ Zu allen wichtigen Links rund um Jonas und den Podcast: https://linktr.ee/jonas.rashedi

The global landscape of education and work is changing at a pace that requires an entirely new approach to measurement. Trending in Education host Mike Palmer welcomes Amit Sevak, CEO of ETS (Educational Testing Service), the organization responsible for millions of assessments worldwide, to discuss the high-stakes transformation of how we identify talent. We explore how the trillion-dollar education sector is struggling to measure outcomes and why reliable data is essential to driving progress. Amit details the foundational work ETS is doing across K-12, higher education, and the workforce to shift the focus from traditional testing to competency-based learning and work-ready skills. We dive deep into the urgency of establishing an AI literacy framework and how technology is powering a new era of "test-less" performance assessments. Why You Should Listen Now: The War for AI Talent: Amit explains why the lack of a common AI literacy framework is a strategic challenge for the U.S. and how other nations are already standardizing AI education for young children. The Crisis of Underemployment: We break down the alarming statistics showing high unemployment and underemployment for new college graduates, highlighting the massive societal and economic pressure to measure job-relevant skills. The Future of Measurement: We get an inside look at how ETS is using AI, data science, and neuroscience to create innovative, personalized assessments that track complex skills like collaboration and communication—moving beyond the multiple-choice bubble sheet. 3 Key Takeaways from Our Conversation: AI Literacy is a New Language: We must introduce the fundamentals of AI to pre-elementary and elementary students to hardwire it as a first language, similar to English or Spanish. Data is the "New Oil": ETS produces over 5 billion data points annually, representing an amazing opportunity to reimagine products and drive social value through technology. The Two-by-Two of Transformation: The future of assessment is moving to measure both emerging skills (like AI and durable skills) and using innovative measurement methods (like performance and AI-enabled assessments). Join us to understand how better measurement is the key to unlocking human potential globally. Like what you hear? Please like, follow, and subscribe to Trending in Education wherever you get your podcasts. It helps us get the word out! 00:00 Introduction and Welcome 01:13 Amit Sevak's Origin Story 03:28 Joining ETS and the Importance of Measurement 05:47 ETS's Role in Education and Assessment 11:35 Innovations in Testing and AI Integration 12:43 Global Trends and Workforce Development 16:32 The Future of AI Literacy and Skills Measurement 28:31 Global Perspectives on Education and Leadership 34:30 Conclusion and Final Thoughts

HOT OFF THE PRESSES: In this special episode of In AI We Trust?, EqualAI President and CEO Miriam Vogel is joined by her two co-authors of Governing the Machine: How to navigate the risks of AI and unlock its true potential, Dr. Paul Dongha, Head of Responsible AI and AI Strategy at NatWest Group, and Ray Eitel-Porter, Accenture Luminary and Senior Research Associate at the Intellectual Forum, Jesus College, Cambridge, to launch their new book released TODAY (October 28, 2025). Miriam, Paul, and Ray share their motivation for writing the book, some of the big takeaways on AI governance, why it is for companies and consumers alike, and what they hope readers will learn from their book. We hope that you enjoy this episode, and please be sure to purchase a copy of Governing the Machine at the link above! And share your feedback at contact@equalai.org! 

Overview: In this episode of the SMB Community Podcast, hosted by James Kernan, special guest Leslie Dewey, CEO of Sweetwater Street, shares her expertise on artificial intelligence (AI). Leslie discusses her background in media and security, which led her to a passion for AI. She provides insights into AI literacy, automation benefits, and practical tips for business owners to integrate AI into their operations. The conversation also covers the importance of AI training, the challenges of data security, and ways to leverage AI as a competitive advantage. Leslie emphasizes the need for responsible AI use and offers guidance on navigating the rapidly evolving AI landscape.  --- Chapter Markers: 00:00 Introduction to the SMB Community Podcast 00:43 Meet Leslie Dewey: AI Guru and CEO of Sweetwater Street 01:13 Leslie's Journey into AI and Security 01:57 Sweetwater Street's Mission and AI Literacy 04:09 AI in Business: Benefits and Applications 05:57 Tips and Tricks for Using AI Tools 09:03 Deep Research and Competitive Analysis with AI 11:22 Monetizing AI and Data Security Challenges 15:46 Conclusion and Contact Information --- New Book Release: I'm proud to announce the release of my new book, The Anthology of Cybersecurity Experts! This collection brings together 15 of the nation's top minds in cybersecurity, sharing real-world solutions to combat today's most pressing threats. Whether you're an MSP, IT leader, or simply passionate about protecting your data, this book is packed with expert advice to help you stay secure and ahead of the curve. Available now on Amazon! https://a.co/d/f2NKASI --- Sponsor Memo: Since 2006, Kernan Consulting has been through over 30 transactions in mergers & acquisitions - and just this past year, we have been involved in six (6). If you are interested in either buying, selling, or valuation information, please reach out. There is alot of activity and you can be a part of it. For more information, reach out at kernanconsulting.com

It's YOUR time to #EdUpIn this episode, President Series #415, powered by ⁠⁠⁠Ellucian⁠⁠⁠, & sponsored by the 2026 InsightsEDU Conference in Fort Lauderdale, Florida, February 17-19,YOUR guest is Dr. Christina A. Clark, President, La Roche UniversityYOUR co-host is Brent Ramdin, CEO, EducationDynamicsYOUR host is ⁠⁠Dr. Joe Sallustio How does a Catholic university achieve 97% job/grad school placement while serving primarily lower & middle income families?What happens when you embed AI literacy & ethical AI training into every student's education before they graduate?How does a university teach students constructive dialogue techniques to navigate political differences without protests?Listen in to #EdUpThank YOU so much for tuning in. Join us on the next episode for YOUR time to EdUp!Connect with YOUR EdUp Team - ⁠⁠⁠⁠⁠ ⁠⁠⁠⁠Elvin Freytes⁠⁠⁠⁠⁠⁠⁠⁠⁠ & ⁠⁠⁠⁠⁠⁠⁠⁠⁠ Dr. Joe Sallustio⁠⁠⁠⁠● Join YOUR EdUp community at The EdUp ExperienceWe make education YOUR business!P.S. Want to get early, ad-free access & exclusive leadership content to help support the show? Then ⁠​subscribe today​⁠ to lock in YOUR $5.99/m lifetime supporters rate! This offer ends December 31, 2025!

In “Real-World Supply Chain AI Applications with Gather AI's Sankalp Arora”, Joe Lynch and Sankalp Arora, CEO and Co-founder at Gather AI, discuss how Gather AI's combination of drone-collected visual data, AI analysis, and WMS integration is revolutionizing warehouse inventory management. About Sankalp Arora Sankalp Arora is the CEO & Co-Founder of Gather AI. With 14 years of experience, Sankalp developed safety and sensor planning for the world's first safe autonomous helicopter, funded by DARPA, a project that won the Howard Hughes award, AUVSI Xcellence award and was nominated for the Collier Trophy. He is a recipient of the Qualcomm Innovation fellowship and Swartz Innovation fellowship and has a PhD in Robotics from Carnegie Mellon University. Gather AI and Sankalp have received several awards, including CB Insights' AI 100, SupplyChainBrain's Great Supply Chain Partner Awards, Peerless Media's NextGen Supply Chain Awards, Food Logistics and Supply & Demand Chain Executive Top Tech Startup Awards, and the Pittsburgh Inno Fire Awards. About Gather AI Gather AI is an intralogistics AI company which collects visual data from drones, forklifts, and connected machines, integrates it with warehouse management systems (WMS) and cloud platforms, and uses AI to identify issues and suggest next steps. Key Takeaways: Real-World Supply Chain AI Applications In “Real-World Supply Chain AI Applications with Gather AI's Sankalp Arora”, Joe Lynch and Sankalp Arora, CEO and Co-founder at Gather AI, discuss how Gather AI's combination of drone-collected visual data, AI analysis, and WMS integration is revolutionizing warehouse inventory management. Bridging Robotics Expertise to Logistics: Sankalp Arora's foundational work in safety and sensor planning for autonomous helicopters (a DARPA-funded project) highlights how sophisticated robotics and computer vision expertise is now being directly applied to create reliable, "real-world" AI solutions for the supply chain. Visual Data is the New Inventory Input: Gather AI utilizes hardware like drones, forklifts, and connected machines to collect vast amounts of visual data within a warehouse, moving beyond manual counts and traditional scanning methods to capture inventory status comprehensively and automatically. Intralogistics Focus: The primary application of this AI is in intralogistics (operations inside the warehouse), specifically tackling challenges like inventory inaccuracy, cycle counting, and labor efficiency—common pain points for WMS (Warehouse Management Systems) users. From Data to Actionable Insights: The platform doesn't just collect data; its core value is using AI to identify specific issues (e.g., misplaced items, damaged inventory, out-of-stock locations) and then suggesting next steps, making the data immediately actionable for warehouse staff. Critical System Integration: For successful real-world adoption, the AI platform must integrate seamlessly with Warehouse Management Systems (WMS) and cloud platforms, ensuring the visual intelligence updates the enterprise system of record effectively. AI for Operational Efficiency: By automating data collection and analysis, the technology shifts labor away from tedious inventory tasks, allowing personnel to focus on high-value activities, leading to significant gains in operational efficiency and inventory accuracy. Industry Validation of Innovation: Recognition through awards like CB Insights' AI 100 and various Supply Chain Partner awards validates that Gather AI's approach is recognized as a leading, commercially viable, and impactful NextGen Supply Chain technology. Learn More About Real-World Supply Chain AI Applications Sankalp Arora Gather AI Gather AI | Linkedin Gather AI | YouTube Case Studies Gather AI Capabilities 2025 AI Literacy in Logistics with Gather AI's Andrew Hoffman Gathering Inventory Data with Sankalp Arora Autonomous Data: Gather AI's Warehouse Vision The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube

Send us a textAmber Ivey (aka AI) shares standout moments from AI for Kids, conversations that made her stop and think about how kids, parents, and teachers are learning to live with AI. From creativity and coding to curiosity and critical thinking, these clips remind us that understanding AI starts with asking good questions and keeping an open mind.If you heard something today that made you think or smile, share this episode with a friend, teacher, or family member. Parents can sign up to be notified of our Kickstarter campaign that we're gonna launch November 4th here: https://www.kickstarter.com/projects/aidigicards/the-abcs-of-ai-activity-deck-for-kidsSupport the showHelp us become the #1 podcast for AI for Kids. Support our kickstarter: https://www.kickstarter.com/projects/aidigicards/the-abcs-of-ai-activity-deck-for-kids Buy our debut book “AI… Meets… AI”Social Media & Contact: Website: www.aidigitales.com Email: contact@aidigitales.com Follow Us: Instagram, YouTube Books on Amazon or Free AI Worksheets Listen, rate, and subscribe! Apple Podcasts Amazon Music Spotify YouTube Other Like our content? patreon.com/AiDigiTales...

In this episode of In AI We Trust?, EqualAI President and CEO Miriam Vogel sits down with Nicholas Thompson, CEO of The Atlantic, for a fascinating discussion about the “AI hurricane coming through” and how he sees the role of journalists when it comes to reporting on new technological developments and promoting AI literacy. During the episode, Nicholas shares his wish list of AI policies and regulations, the most interesting thing in tech he has seen recently, his thoughts on the most important things people should be paying attention to as they work to understand new developments in the AI space, and much, much more.

 AI opportunities: Despite the excitement around AI, Kaupp emphasizes the importance of understanding the technology before fully integrating it into workflows. He advocates for “literacy before agency" to understand the true impacts of what AI "can unlock."Transformation with AI: Kaupp describes the process of transforming a contract approval process using AI tools, highlighting the importance of identifying inefficiencies and becoming “client zero” for automation. He poses a question relating to assisting customers with AI adoption: “If I can't identify 'stupid' things that we're living with and transforming them, how am I going to get clients to do that?”Internal impacts: Microsoft's release of all Microsoft Learn content as an MCP server has led to an important internal transformation for ArcherPoint by Cherry Bekaert, enabling consultants and developers to use AI-powered search instead of traditional engines to quickly find relevant functionality and updates. This approach has also been applied to the organization's own codebase, allowing access to previous customer implementations.Big trends for Business Central: Across all Microsoft products, and in the case of Business Central, Kaupp shares that clients are excited about the potential of AI agents, but many are still experimenting without clear use cases. As a result, he notes, consultants often find themselves reversing client-built solutions to make them production-ready.ArcherPoint by Cherry Bekaert at Summit NA: Kaupp and the team from ArcherPoint by Cherry Bekaert will be at Community Summit NA 2025, and you can connect with the team at their Booth #1007. Kaupp will also co-lead a session on Wednesday, October 22, "Leading Through Change: Harnessing Communication and Resilience." He encourages attendees to stop by the booth and chat with him on all things AI. "I'm there to learn or to guide... to me, that is the benefit of the community. It's the benefit of why we're all there," he notes.Contributors: John Siefert, Greg KauppSearch keywords:  No transcript Can be scheduled for 9:00 AM ET on 10/17.  Visit Cloud Wars for more.

Send us a textIn this episode of Sidecar Sync, Mallory Mejias and Amith Nagarajan dive into three seemingly distinct but tightly connected topics: a groundbreaking robotic hand from China that could redefine how machines interact with our world, the growing movement of mandatory AI literacy training sweeping through corporations and governments, and new data from Anthropic showing a widening economic divide in AI adoption. They explore what these trends mean for the future of work, equity, and innovation—and why every association leader should be paying close attention. 

In this episode, IRONMAN Master Coach Matt Dixon discusses the evolution and future of coaching on the Purple Patch Podcast. He emphasizes the importance of a holistic approach, integrating performance with life demands, and proactive coaching that anticipates challenges. Dixon highlights the need for mutual investment, collaboration, and simplification in coaching. He warns against the "magic method" and "will it work for me" traps, advocating for individualized training plans. Dixon also stresses the role of technology, particularly AI, as an assistant rather than a replacement for human coaching. The podcast is based on feedback from athletes, with high satisfaction scores and a focus on continuous improvement. If you have any questions about the Purple Patch program, feel free to reach out at info@purplepatchfitness.com.   Purple Patch and Episode Resources Check out our world-class coaching and training options: Book a complementary needs assessment coaching call: https://calendly.com/coaches-purplepatch/offseason-assessment-call Tri Squad: https://www.purplepatchfitness.com/squad 1:1 Coaching: https://www.purplepatchfitness.com/11-coached Run Squad: https://www.purplepatchfitness/com/run-squad Strength Squad: https://www.purplepatchfitness.com/strength-1 Live & On-Demand Bike Sessions: https://www.purplepatchfitness.com/bike  Explore our training options in detail: https://bit.ly/3XBo1Pi  Live in San Francisco? Explore the Purple Patch Performance Center: https://center.purplepatchfitness.com  Everything you need to know about our methodology: https://www.purplepatchfitness.com/our-methodology Amplify your approach to nutrition with Purple Patch + Fuelin https://www.fuelin.com/purplepatch Get access to our free training resources, insight-packed newsletter and more at purplepatchfitness.com  

In this episode Tricia Friedman talks listeners through an example of how she vibe coding an app from start to finish. Her vibe coding process of building an app blends AI literacy, digital humanities, and leadership design thinking. What does this tell us about the future of using generative AI for projects in K12? This episode is sponsored by our amazing friends at Poll Everywhere. Join over 1 million educators using Poll Everywhere. Try it risk free for 30 days—we'll refund you if it's not a good fit. Listeners will gain insight into: how AI-assisted app design reshapes collaboration and imagination in schools what happens when storytelling meets software in project-based learning why ethical AI, digital well-being, and student agency must anchor innovation Ultimately, this episode challenges educators to think differently about what it means to “build.” Tricia frames vibe coding as an invitation to design with empathy — where app creation, futures literacy, and educator creativity merge to model a more human-centered approach to technology in learning. If you're curious about AI in education, digital storytelling, women in edtech, or the future of creative leadership, this episode offers a front-row seat to the evolving intersection of art, code, and compassion.

Unlock the future of public health entrepreneurship with actionable insights into AI literacy, responsible technology adoption, and industry-leading best practices. In this episode, we speak with Zainab Shipchandler, health educator, AI literacy advocate, and director of the ZRF Group. We explore how public health leaders can champion digital transformation while protecting communities. Whether assessing AI tools, navigating privacy, or advocating for equitable innovation, discover the essential skills and frameworks for thriving in an AI-driven world.   Resources ▶️ Website https://PublicHealthEntrepreneurs.com ▶️ Grab your copy of: Top 10 Tips For Finding Clients ▶️ Grab your copy of: Top 10 Tips For Getting Started ▶️ Submit a question you'd like us to answer on this podcast here. ▶️ Learn more about the Public Health Entrepreneurs Mastermind group program here.

Canada must treat AI literacy as its next nation-building project Learn more about your ad choices. Visit megaphone.fm/adchoices

0:11 - Alberta teachers prompts petition on the province's private school funding. 9:12 - Should we be funding private schools? We take your calls and texts! 18:32 - We continue with your calls on Private education in Alberta. 28:04 - The municipal election is October 20th. How are candidates in our cities approaching the issue of housing? 36:55 - Canada must treat AI literacy as it's next nation-building project. 46:23 - How important is AI in our world? We hear from you. Learn more about your ad choices. Visit megaphone.fm/adchoices

Geneva High School is offering what its teachers think is the first AI literacy course in New York State. The goal is to help students become literate in the many forms of artificial intelligence already available. We meet the teacher, who thinks that while students can't be allowed to simply cheat using AI, they also shouldn't be asked to become luddites. So, what is the right balance?In studio: George Goga, adjunct professor of English and education at SUNY Geneseo and teacher at Geneva High School Payce Chu-Lustig, teaching assistant at Geneva High School  Vivian Hoang, teaching assistant at Geneva High School  ---Connections is supported by listeners like you. Head to our donation page to become a WXXI member today, support the show, and help us close the gap created by the rescission of federal funding.---Connections airs every weekday from noon-2 p.m. Join the conversation with questions or comments by phone at 1-844-295-TALK (8255) or 585-263-9994, email, Facebook or Twitter. Connections is also livestreamed on the WXXI News YouTube channel each day. You can watch live or access previous episodes here.---Do you have a story that needs to be shared? Pitch your story to Connections.

In Episode 45, of Season 5 of Driven by Data: The Podcast, Catherine King takes the hot-seat as she hosts a live panel discussion alongside, Pete Williams, Director of Data at Penguin Random House and Greg Freeman, CEO & Founder at Data Literacy Academy, where they discuss how to allow your organisation to climb the data & AI literacy ladder, which includes;Why Data & AI literacy isn't about technical skills or tools.How practical implementation and belief in the value of literacy are still recent developments.How there are no decisions in modern business that are free of data.Why people don't use what they don't trust and they don't trust what they don't understand.Why literacy must address taught fears and cultural resistance.Why companies are still falling into the trap of thinking tools and tech will drive transformation.Why Generative AI is proving to be a Trojan Horse and the opportunity it provides for enterprise impact. Why literacy efforts need to go beyond 'tick-box' training to personalised, job-relevant learning that connects directly to business outcomes.Why you should track productivity improvements, promotion rates, and qualitative feedback from learners.How to use behavioural metrics and ROI-linked business initiatives to measure literacy impact.How you can create effective feedback loops from the frontline that are essential for iteration and broader...

In this episode, Jan Beger, Global Head of AI Advocacy at GE Healthcare, shares his mission to bridge the gap between the conceptual promise and real-world impact of AI in healthcare. He stresses on the critical need to build AI literacy and trust among clinicians, executives, and students, and explains why a human-centric approach and strong change management are critical for successful adoption. Jan highlights GE's global AI literacy programs that train employees and clinicians on responsible use, practical applications, and critical evaluation of AI. He highlights how moving beyond pilots to strategic, systemwide deployment requires continuous education, executive engagement, and a focus on change management. He also spoke about GE's successes such as improved efficiency in software development and innovations like AI-guided handheld ultrasound devices that democratize imaging by supporting users of varied expertise, as well as the challenges of keeping AI tools robust and up-to-date. Jan addresses the future of the workforce, noting that adaptability and tech fluency will be essential as 70% of job skills evolve by 2030. He encourages healthcare leaders to see AI not just as technology, but as a transformative tool to enhance care and outcomes. Take a listen.

In this episode, I speak with Susan Roth, Senior Director of Marketing at Netrality Data Centers, about her remarkable journey from marketing leader to AI agent builder. Susan shared how she went from being uncertain about AI's role in marketing to becoming a pioneer in building sophisticated AI workflows and agents, while managing a small marketing team and investing significant personal time and resources into her education.What makes Susan's story particularly compelling for healthcare technology marketers is her practical approach to implementation. She's not just theorizing, she's actively using it to transform how a small marketing team operates. From editing video in minutes instead of hours to creating automated research workflows that cost just $1.50 per execution, Susan demonstrates how AI agents can enable small teams to compete at scale. She also offers a pragmatic yet optimistic view of AI's impact on the workforce, emphasizing that organizations will need people to manage and maintain these systems, and that the key is learning to work alongside AI rather than being replaced by it.For marketing leaders feeling overwhelmed by AI's rapid evolution, Susan's advice is straightforward: start small with low-risk use cases, embrace discomfort as part of the learning process, and remember that AI literacy is an ongoing journey rather than a destination. Her most important message is to "do it scared"—because waiting on the sidelines is no longer an option for marketers who want to remain competitive.Key Topics Covered[00:00:00] - Introduction[00:02:00] - Discovering AI as a Human Evolution Story[00:06:00] - Learning Resources: Marketing Profs B2B Forum[00:09:00] - Shifting Behavior: From Search Engine to Strategic Partner[00:10:00] - Introduction to Agentic Workflows[00:12:00] - The AI Build Lab: Four-Week Foundations Course[00:16:00] - The Builder Mindset for Marketers[00:18:00] - Key Tools: Notion, Typing Mind, and Cassidy[00:20:00] - Daily AI Applications in Marketing Work[00:21:00] - Use Cases: Research, Content Creation, and Video Production[00:25:00] - Building 50 Agents: From Research to Email[00:28:00] - The Cipher Agent: Automated Sales Research Workflow[00:31:00] - AI Adoption: Strategic Use vs. Individual Tools[00:33:00] - The Future of Marketing Teams: Humans and Agents Working Together[00:35:00] - The "Do More with Less" Question and Workforce Implications[00:37:00] - The Importance of Hiring and Training Young People[00:39:00] - Advice for Getting Started: Pick One Small Use Case[00:40:00] - Learning to Prompt and Using AI to Teach AI[00:41:00] - The Ongoing Journey: Being Comfortable with Being UncomfortableIf you are interested in discussing this or any other topic, let's have a chat.  Reach out to me directly to schedule a no-obligation discussion. This isn't a sales call, but rather an opportunity to talk through your questions and challenges.Follow me on LinkedIn.Subscribe to The HealthTech Marketing Show on Spotify or watch us on YouTube for more insights into marketing, AI, ABM, buyer journeys, and beyond!Thank you to our presenting sponsors, HIMSS, a leader in advancing health equity, digital innovation, and data-driven care through technology, policy, and community collaboration. And also HealthcareNOW, 24/7 expert shows, interviews, and podcasts, powering healthcare leaders with innovation, policy, and strategy insights.

Our guest Mike Kaput of SmarterX takes us inside the new AI Academy, a membership-based learning platform for organizations and individuals. Find out how their AI Academy delivers AI literacy for all—through frameworks, certifications, and personalized learning journeys that help organizations roll out AI training responsibly and at scale. Show Notes: Mike Kaput, Chief Content Officer at SmarterX  explains how they are creating and distributing learning experiences in a fast-moving environment. Some of his key points include:AI literacy is step one for everyone. Every role needs a baseline understanding of what AI is, what it can do, and how to apply it—before tools or advanced use cases.Teach frameworks, not prescriptions. Because AI changes fast, focus training on durable  models and  principles learners can reuse as tools evolve.Blend evergreen with “live” learning. Pair on-demand eLearning courses (Foundations → Piloting → Scaling) with timely elements—Academy Live sessions, weekly gen-AI app reviews, and community—to keep skills current.Make it measurable and meaningful. Certification paths include quizzes and final exams; departmental/industry tracks signal practical, job-relevant competence (with digital badging on the roadmap).About SmarterX:SmarterX is an AI research and education firm and parent company of AI Academy, The Artificial Intelligence Show, and Marketing AI Institute. Learn more about the AI Academy.Listen to The Artificial Intelligence ShowAbout Mike Kaput: Mike Kaput is a marketing and business AI expert, speaker, and author. In his role as Marketing AI Institute's Chief Content Officer, he uses dozens of powerful AI tools daily to increase productivity and performance across hundreds of use cases. And his actionable talks can teach you and your team how to do the same thing. Mike's talks help companies of every size in any industry to capture massive productivity and performance gains using practical AI knowledge, use cases, and tools. They also make AI approachable and accessible for professionals at every level and in every function.The result is that companies in every industry—including The Financial Times, Vimeo, and Vodafone—have come away from Mike's talks armed with everything they need to start building a competitive advantage with AI.Powered by Learning earned Awards of Distinction in the Podcast/Audio and Business Podcast categories from The Communicator Awards and a Gold and Silver Davey Award. The podcast is also named to Feedspot's Top 40 L&D podcasts and Training Industry's Ultimate L&D Podcast Guide. Learn more about d'Vinci at www.dvinci.com. Follow us on LinkedInLike us on Facebook

What does it mean to be pragmatic about AI adoption, while staying true to the values and mission driving people and organizations? When Elisa Lindinger decided to talk about AI, her intention was to say what she had to say once, and then move on with her life without having anyone ask about AI ever again. The plan backfired heavily, but somehow, that turned into a good thing. Lindinger is the Co-founder of SUPERRR, an independent non-profit organization. SUPERRR was created to serve the thesis is that digital policy is social policy, and it needs bold visions and feminist values. Like most other individuals and organizations today, Lindinger's inbox has been flooded with new invitations every day. Invitations to discuss AI, to facilitate workshops on feminist AI, or the inevitable coaching offer to finally learn how to prompt properly. This made Lindinger feel that other topics that are just as crucial are disappearing from the conversation. "AI and Unlikelihood" was an attempt to situate how the people at SUPERRR view the phenomenon of AI, and why they believe it's essential to return our attention to other topics as well. What happened instead was that SUPERRR's post got viral on LinkedIn, reigniting the topic of AI and stealing the limelight. An algorithmic glitch? Perhaps. But SUPERRR's stance of rejecting the narrative of blind adoption of generative AI resonated with many people. We met with Lindinger to explore the nuance behind what some might superficially call a Luddite approach, and to talk about setting priorities right, imagining futures people want to live in, and how to go From AI literacy to futures literacy. With cracks in the AI narrative beginning to show, the backdrop could not be more timely. Article published on Orchestrate all the Things: https://linkeddataorchestration.com/2025/10/02/pragmatic-ai-adoption-from-futurism-to-futuring/

In this episode of In AI We Trust?, EqualAI President and CEO Miriam Vogel interviews Steven Overly, host of POLITICO Tech's weekly podcast and editorial director of POLITICO Live. Steven shares highlights from POLITICO's 2025 AI & Tech Summit and his thoughts on how the tech landscape has changed since he first started reporting on it as a journalist. Steven and Miriam also touch on topics including AI in government, AI and the workforce, and how to bring nuance into conversations around AI and ensure that more people are included in conversations about how it will impact their lives.

New AI-enabled platform empowers teachers and education providers worldwide to instantly create and deliver AI literacy programs DQ Institute City: Los Angeles Address: 12120 Strathern St. Website: https://www.dqinstitute.org/

Send us a textWhat if teaching your kids about AI felt as simple as asking a smart friend for help at the grocery store?In this episode of AI for Kids, we dig into one big question every parent is asking: What's a prompt—and why should kids learn to use one?Together, we explore:Can kids love science but hate math and still thrive in STEM?How can you explain prompts to kids so it “clicks” right away?What simple, fun prompts can kids try—from making coloring pages to writing stories?What does it mean to think “AI-first,” and how can kids apply that mindset in everyday life?Why starting small (with just three things you don't want to do this week) is the easiest way for kids and parents to get comfortable with AI.Ashley also shares her new 10-day course designed to help future business owners use AI to turn their ideas into action—plus we get into her own journey from science lover to business builder.

AI is everywhere right now, and if you've been feeling both curious and overwhelmed, you're not alone! In this episode, I'm joined by Amanda Bickerstaff, a former high school biology teacher and co-founder of AI for Education, for a conversation about AI in the classroom. We explore why AI literacy is becoming a core skill for both teachers and students, how it's reshaping traditional assignments like lab reports, and the surprising ways it can actually spark more creativity and inquiry. Amanda also shares practical strategies for science teachers, from lesson inspiration to formative assessments. If you've ever wondered how to make AI work for you, this episode will leave you feeling excited for what's ahead!➡️ Show Notes: https://itsnotrocketscienceclassroom.com/episode201Resources:AI for EducationAn Essential Guide to AI for Educators: FREE 2 hour courseDownload your FREE Classroom Reset Challenge.Take the Free Labs When Limited virtual PD courseSend me a DM on Instagram: @its.not.rocket.scienceSend me an email: rebecca@itsnotrocketscienceclassroom.com  Follow, rate, and review on Apple Podcasts.Connect with Amanda:LinkedInInstagramYouTubeTikTokTwitter/X: @AIforEducation Twitter/X: @Amanda_AIforEdFacebookRelated Episodes:Episode 94, How to Deal with Cheating in Your High School Science ClassesEpisode 154, AI and ChatGPT with Guest Mitch WielandEpisode 173, 9 Quick Ways to Use AI to Simplify Your Life as a TeacherEpisode 174, 7 Ways to Teach Your Students to Use AI Productively

In this episode of In AI We Trust?, cohosts Miriam Vogel and Nuala O'Connor speak with Daniel Dobrygowski, Head of Governance and Trust at the World Economic Forum (WEF), and Karla Yee Amezaga, Initiatives Lead for AI and Data Governance with WEF's Centre for AI Excellence about the importance of building trust in technology, strengthening AI and digital literacy, and modernizing boards to be fit for purpose for the modern era. They discuss EqualAI's and WEF's  new playbooks, including WEF's Playbook on Advancing Responsible AI Innovation and EqualAI's new AI Governance Playbook. Find the WEF Playbook here and EqualAI's AI Governance Playbook here.

In this episode of Shifting Schools, Jeff Utecht and Tricia Friedman discuss their upcoming training sessions focused on integrating AI into education. They emphasize the importance of understanding AI's impact on the job market, the necessity of prompt engineering as a new skill for educators, and the need for AI literacy among students. The conversation also touches on the evolving nature of AI tools and the importance of addressing mental health concerns related to technology use among students. You can learn more about the five part series: https://web.cvent.com/event/19d647db-557e-4502-8a0c-17bd3325fe0b/summary Takeaways AI is reshaping the educational landscape and job market. Understanding AI's impact is crucial for educators and students. Prompt engineering is a vital skill for effective AI use. Generative AI can enhance learning and career exploration. Educators must engage with students about AI and its implications. AI literacy is essential for preparing students for future careers. The evolution of AI tools requires ongoing adaptation in teaching. Interdisciplinary approaches can enrich AI education. Mental health concerns related to technology must be addressed. Local context is important in AI training for educators. Chapters 00:00 Introduction to AI in Education 02:51 The Driftwood: Navigating AI's Impact 08:38 Understanding Job Market Changes 14:19 Prompt Engineering: The New Skill 20:05 AI Literacy and Its Importance 25:57 Engaging with Students on AI and Mental Health

Today, our guest is Dr. Caitlin Kirby, Associate Director of Research and interim co-Director at the Evidence-Driven Learning Innovation (EDLI) team at Michigan State University. Caitlin's work focuses on developing and researching equitable and engaging learning experiences, especially those that leverage digital and online components.   Prior to her current role, Caitlin was a postdoctoral researcher at the University of Nebraska–Lincoln, studying how undergraduates develop scientific literacy around socioscientific issues. She earned her PhD in Environmental Science and Policy and STEM Education at Michigan State University, where she also completed a Fulbright student research grant in Germany. Her research spans contexts from climate change and urban agriculture to university classrooms and Indigenous spaces.   Caitlin also holds certifications in college science and math teaching and in community engagement, highlighting her commitment to bridging research and practice. We are delighted to have Caitlin on the show to discuss developing your approach to AI for teaching, what (the heck) we mean by “AI Literacy,” and building equity into digital education. https://www.scholarlyteacher.com/post/developing-your-approach-to-generative-ai Authority, Passion, and Subject-Centered Teaching

In “AI Literacy in Logistics with Gather AI's Andrew Hoffman”, Joe Lynch and Andrew Hoffman, CTO at Gather AI, discuss how artificial intelligence is transforming warehouse operations by using visual data from drones and other machines to identify issues, suggest next steps, and ultimately improve efficiency and accuracy. About Andrew Hoffman Andrew Hoffman is the Chief Technical Officer at Gather.ai, an AI-powered intralogistics optimization firm that empowers 3PLs, manufacturers, and retailers to improve margins and on-time order fulfillment in the widest range of logistics environments - from ambient to cold chain storage. Andrew has technical and leadership experience scaling supply chain-focused robotics companies from founding to exit, with over 20 patents in logistics, robotics, and robot coordination. He was a founding engineer at two supply chain robotics companies which were later acquired by Amazon – Kiva Systems (now Amazon Robotics) and CANVAS Technology. Most recently, he served as an Entrepreneur in Residence at tech-focused venture capital firm, Xplorer Capital, a Gather AI investor. About Gather AI Gather AI is an intralogistics AI company which collects visual data from drones, forklifts, and connected machines, integrates it with warehouse management systems (WMS) and cloud platforms, and uses AI to identify issues and suggest next steps. Key Takeaways: AI Literacy in Logistics In “AI Literacy in Logistics with Gather AI's Andrew Hoffman”, Joe Lynch and Andrew Hoffman, CTO at Gather AI, discuss how artificial intelligence is transforming warehouse operations by using visual data from drones and other machines to identify issues, suggest next steps, and ultimately improve efficiency and accuracy. AI as a Co-Pilot, Not a Replacement: The podcast reframes artificial intelligence as a collaborative tool that amplifies human capability. Much like a calculator assists a mathematician, AI acts as a "co-pilot" in the warehouse, providing real-time data and insights that enable staff to work more efficiently and accurately. Demystifying Core Concepts: The discussion breaks down key industry terms, clarifying the relationship between artificial intelligence (AI) (the broad field of intelligent machines) and machine learning (ML) (the specific technique of systems learning from data). It also defines computer vision as the ability of a machine to "see" and interpret a warehouse environment. Proven ROI and Real-World Results: The episode highlights a concrete case study with Stadium Goods, a customer of Gather AI. By using the company's solution, they increased inventory accuracy to over 99%, reduced "inventory shrink" from 2% to a fraction of a percent, and saved over $200,000 by eliminating manual counting. Actionable Insights from Data: The conversation explains that AI systems learn from data over time, allowing them to transform complex data queries into natural language questions. This helps warehouse staff make better decisions on the fly, such as locating a specific pallet or finding an empty space in an aisle. The Collaborative "Agent": The concept of an "agent" in AI is reframed from a technical term to a collaborative entity. Gather AI's system—the drone, software, and computer vision—works as a partner to the warehouse staff, providing the data needed for faster, more accurate decisions and freeing up employees for more valuable tasks. A Leader with a Track Record of Innovation: Andrew Hoffman's background as a founding engineer at two logistics robotics companies, both later acquired by Amazon, establishes his deep expertise. His journey offers valuable insight into the past and future of scaling technology in the supply chain industry. A Clear Path to Getting Started with AI: For listeners looking to begin their AI journey, the podcast recommends starting with a pilot project to solve one specific problem, such as cycle counting. It also advises seeking partners who offer a comprehensive solution and a clear path to return on investment, rather than just a technology. Learn More About AI Literacy in Logistics Andrew Hoffman Gather AI Gather AI | Linkedin Gather AI | YouTube Gather AI Capabilities 2025 The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube  

As a new academic year begins, journalism schools face a defining challenge: how to prepare students for a profession being reshaped by AI.At Stanford University, Djordje Padejski is leading the way. A veteran investigative journalist and now associate director of the John S. Knight Journalism Fellowships at Stanford, he created one of the earliest AI-focused journalism courses at Arizona State University before bringing it to Stanford last year. His classroom is less lecture hall and more lab, where students test AI tools and also learn to examine them.On Newsroom Robots, Djordje shared how he structures his course and what journalism schools must do to prepare the next generation of journalists.Key topics include:Why journalism education must move beyond teaching AI as just a tool and instead frame it as a socio-technical phenomenon.How to embed AI literacy in classrooms by separating hype from reality, contextualizing the history of AI, and examining its cultural and ethical limits.Practical strategies Djordje uses to structure his Stanford course, from lab-style experimentation to peer-led discussions that uncover both opportunities and pitfalls of tools like ChatGPT, Perplexity, and NotebookLM.The importance of teaching students not just how to use AI but how to critically assess its strengths, biases, and limitations.What a future journalism curriculum or degree built around AI might look like, and how educators across disciplines can prepare the next generation of reporters.Sign up for the Newsroom Robots newsletter for episode summaries and insights from host Nikita Roy. Hosted on Acast. See acast.com/privacy for more information.

In this milestone episode of PodcastPD (Episode 150!), Chris and AJ welcome longtime friend and educator, Kathy Kersznowski, author of The Educator's Guidebook for Teaching AI Literacy and Ethics. Kathy shares why AI literacy is the new literacy and how educators can navigate AI responsibly and confidently. She dives into the motivation behind her book, the importance of ethics, and why scenarios and discussions—not fear—are key to helping students use AI well.Listeners will learn practical ways to introduce AI concepts in any classroom, discover strategies for modeling ethical AI use, and explore why transparency and discussion matter more than ever. Plus, Kathy reveals her favorite AI tools, tips for overwhelmed teachers, and the behind-the-scenes story of her book cover design.Topics DiscussedThe inspiration behind Kathy's book and why educators need AI literacy now.What AI literacy means and why it's as critical as digital literacy.Scenarios and discussion prompts: engaging students in real-world AI dilemmas.How teachers can model ethical AI use in the classroom.Overcoming misconceptions and fears about AI.Graphic organizers and resources included in the book.Why transparency and modeling AI use is a game-changer for educators.Kathy's personal favorite AI tools: ChatGPT, Claude, Gemini, and more.The story behind the symbolic book cover design.What We're Listening ToMe Here, You There – Steve Somers' legendary monologues and New York sports talk.The Mindset Advantage – JW Hillier on leadership, resilience, and personal growth.Teacher Nerdz Podcast – Educational conversations on maker spaces, STEM, global education, and more. Hosted on Acast. See acast.com/privacy for more information.

In today's episode, we'll review the contents of the AI Literacy Toolkit for Families co-created by Common Sense Media and Day of AI. Visit AVID Open Access to learn more.

In this episode, Jeff Utecht, Tricia Friedman, and Dr. Curt Merlau discuss the transformative role of AI and data literacy in education and employment. They explore how Pivot, an AI-powered tool, helps unemployed individuals find better job opportunities and training. The conversation emphasizes the importance of data literacy for educators and the potential of AI to personalize learning and improve educational outcomes. They also highlight real-world applications of data in education and the need for teachers to embrace AI responsibly to prepare students for the future. Connect with our guest on LinkedIN: Vice President @ Resultant | EdD, Organizational Leadership and Learning Former Educator, Administrator, and now Consultant. Interoperability Nerd. AI Enthusiast Connect with the work Dr. Curt does. Chapters 00:00Introduction to Pivot and AI in Employment 02:15The Importance of Data and AI Literacy 06:27AI's Role in Education and Personalized Learning 10:08The Power of Data in Student Success 12:42Emerging Pathways and Career Opportunities 19:36Preparing Teachers for an AI-Driven Future   Connect with Jeff and Tricia on LinkedIN   Jeff:  https://www.linkedin.com/in/jeffutecht/     Tricia: https://www.linkedin.com/in/tricia-friedman/  

How small business owners can overcome fear, embrace Artificial Intelligence literacy, and start using generative AI tools to improve efficiency and competitiveness. Show Notes Page: https://www.thehowofbusiness.com/577-susan-gonzales-ai-literacy/ Artificial intelligence isn't coming - it's already here, and small business owners can't afford to be left behind. In this episode of The How of Business, Henry Lopez speaks with Susan Gonzales, founder and CEO of AI and You, a nonprofit dedicated to making AI literacy accessible for everyday people. Susan explains why fear, skepticism, and lack of awareness are slowing AI adoption (especially among women and minority business owners) and how these barriers can be overcome. She breaks down the difference between predictive and generative AI, offers practical advice on where to start. Susan's five-step framework for crafting effective AI prompts: 1) Help me with… (Be specific) 2) You are a… (Define the role) 3) The output should be… (State the desired format) 4) You should know… (Provide context) 5) Here are some… (Include references or examples) From creating business plans and marketing strategies to streamlining repetitive tasks, Susan shares real-world examples of how AI can save time, reduce costs, and open new opportunities. She also warns about “hallucinations” in AI-generated output and emphasizes the importance of verifying results before relying on them. The conversation covers emerging trends like AI agents (the next generation of chatbots with reasoning capabilities) and how existing business tools, like CRMs, accounting platforms, and Microsoft Copilot, are embedding AI features business owners should explore. Susan's core message is clear: AI literacy is now an essential basic business skill. Owners who start learning and experimenting today will have a significant advantage over those who wait. “The more specific the prompt, the more specific the answer,” Susan advises, encouraging listeners to explore AI tools with curiosity rather than fear. Listen to gain the confidence, knowledge, and practical steps you need to start leveraging AI in your small business today. Susan Gonzales is the founder and CEO of AI and You, a nonprofit dedicated to making artificial intelligence literacy accessible to everyday people and small business owners. A former policy executive at Facebook, Susan has worked at the intersection of technology, policy, and community engagement, and now focuses on educating diverse communities about AI opportunities and challenges. This episode is hosted by Henry Lopez. The How of Business podcast focuses on helping you start, run, grow and exit your small business. The How of Business is a top-rated podcast for small business owners and entrepreneurs. Find the best podcast, small business coaching, resources and trusted service partners for small business owners and entrepreneurs at our website https://TheHowOfBusiness.com

Can we have a real talk about AI agents?A new Gartner study showed that more than 95% of companies pushing AI agents..... aren't. Vendors, startups, Saas companies pivoting and savvy marketers are shoving Agents down our throats like hot food in a buffet line. But guess what? Most of it is shin marketing. Or lies. Want to know the real landscape around AI agents, minus the B.S.? Good. Then join us as we cut through the fluff. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:AI Agent Hype Versus RealityGartner Study Exposes Agent WashingDefining True AI Agents vs WorkflowsPrevalence of Fake AI Agents Market$4 Billion AI Agent Investment RisksMajor Tech Companies' AI Agent StrategiesAgentic AI Adoption Failure RatesNarrow vs General AI Agent Use CasesSpotting Fake Agents in Enterprise SoftwareThe Importance of AI Literacy for AgentsTimestamps:00:00 "AI Insights for Business Leaders"05:51 Future AI Agents: Definition and Potential06:58 "AI Workflow vs. True Agent"11:34 "Agent Tech's Uncertain Future"14:53 AI Dominates Decision-Making by 202818:15 "Beware AI Agents Hype"24:18 The Chaos of Undefined AI Agents25:31 "Agentic AI FOMO in Business"31:16 AI Training Essential for Teams32:12 Debunking AI Agent MythsKeywords:AI agent, AI agents, agentic AI, agentic AI marketing, AI workflow, pre built automation, chatbot, automation tools, robotics process automation, computer vision, large language model, agent washing, Gartner study, generative AI, AI-powered workflow, agent capabilities, virtual browser, virtual desktop, command line tool, Terminal, AI powered marketing automation, Microsoft Copilot Studio, Google agent space, OpenAI agent mode, Anthropic Claude, Meta superintelligence lab, Salesforce agent force, agentic model, O3, Gemini 2.5 Pro, startup AI agents, narrow AI agent, general AI agent, autonomous agentic AI, enterprise software, investment scam, business decision makers, C-suite, AI strategy, technical reality vs marketing hype, technology adoption failure, FOMO AI investment, AI literacy, AI-powered business processes, scalable AI solutions, narrow task-specific agent, Aqua hire, agent definition, advanced reasoning, planning capabilities, memory systems, adaptive AI, context awareness, workflow automation, business productivity AI, agent integration, AI investment trends, enterprise AI adoptionSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner