Podcasts about Machine learning

This week on Catalyst, Tammy is joined by Tucker Burhans, Data Engineering Supervisor at Corning and a finalist for the Next Generation Leadership Award at the Manufacturing Leadership Council Awards Gala. Tucker traces his journey from competitive swimming and pre-med to data engineering, with a love of problem-solving serving as a common thread throughout. He shares his leadership philosophy in an era of rapid technological change and AI: success means championing others and helping them succeed. Having entered the workforce just as AI was beginning to take hold, Tucker offers a unique perspective on both the challenges and opportunities it presents. He discusses the importance of critical thinking and domain expertise when implementing AI, as well as the need to balance new technologies with human judgment. Tucker also shares his personal AI story and how he's using it to support his newfound passion for gardening. Please note that the views expressed may not necessarily be those of NTT DATALinks: Tucker Burhans Corning Learn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

GTA 6 geleakt, KI-Werbung, Fake-Downloadseiten und rassistische KI-Antworten – in dieser Folge ist wieder einiges los. Tobi und Rüdiger sprechen über den spektakulären GTA-6-Leak, kostenlose digitale Zeitungen, Rüdigers Gmail-/Outlook-Spamproblem und die Frage, warum Claude mit mehr Geld offenbar bessere Antworten liefert. Außerdem: Werbung in ChatGPT, Kameras in AirPods, Meta-Brillen, Mathematik auf Pornhub, KI-Avatare im Teams-Meeting und das Ende des guten alten „Fahr mit der Maus über den Link“-Security-Tipps. Zum Schluss wird es ernst: KI-Erkennung, die echte Texte als KI-generiert einstuft, rassistische KI-Antworten und die Frage, ob eigentlich die KI das Problem ist – oder diejenigen, die sie bauen und betreiben. -- Links zur Folge immer auf https://podcast.ichglaubeeshackt.de/ Wenn Euch unser Podcast gefallen hat, freuen wir uns über eine Bewertung! Feedback wie z.B. Themenwünsche könnt Ihr uns über sämtliche Kanäle zukommen lassen: Email: podcast@ichglaubeeshackt.de Web: podcast.ichglaubeeshackt.de Instagram: http://instagram.com/igehpodcast

Despite gains in recent years, Black, Hispanic, and Asian communities are still under-represented in the U.S. nursing workforce. We're going to explore that gap and how to close it on this episode of Raise the Line from Elsevier with Dr. Ernest Grant, Vice Dean for Diversity, Equity, Inclusion and Belonging at the Duke University School of Nursing. "You get a patient who is more compliant when they see someone who looks like them, who is from their culture and who can advocate on their behalf," he tells host Lindsey Smith.  Dr. Grant bases that and other insights on a rich professional background that includes 50 years in nursing, being a leading advocate for his profession and breaking down barriers himself as a male nurse of color and the first man elected president of the American Nurses Association.  In this thoughtful conversation, Dr. Grant reflects on what it took to earn credibility in leadership roles, how he's navigating the political climate on DEI initiatives, and the causes and solutions to the persistent shortage in nursing faculty, among other pressing issues. Tune in for a uniquely-informed look at what it will take to build a stronger, more representative nursing profession. Mentioned in this episode: Duke University School of Nursing American Nurses Association If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/podcast

This week on Catalyst, Tammy is joined by Adam Zaouague, Automation & Data Specialist at Reata Engineering & Machine Works and a finalist for the Next Generation Leadership Award at the Manufacturing Leadership Council Awards Gala. Adam traces his path from a high school CNC machining program to being recruited by Reata's owner (at the age of 17!) and eventually leading the company's engineering department. He reflects on why trust and emotional intelligence matter as much as technical skill when leading others, then turns to AI, arguing that as machines take on more of the workload, intention and focus become the real differentiators. He shares Reata's philosophy of slowing down to speed up, the internal AI tool the company is building to let subject matter experts create their own solutions, and how integrity and teamwork remain the values that hold it all together. Please note that the views expressed may not necessarily be those of NTT DATALinks:Adam Zaouague Great CEOs are Lazy Tomo Learn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

What should you do differently when a UTI becomes a recurring problem? In this episode of the Backtable Podcast, host Dr. Anjali Kapur is joined by physician-scientist Dr. Glenn Werneburg to discuss the latest approaches to recurrent urinary tract infections, including key updates from the 2025 AUA, CUA, and SUFU guidelines. They use real clinical cases to explore diagnosis, prevention, antibiotic selection, and the management of complex patients. --- Get the BackTable apphttps://www.backtable.com/app --- This podcast is supported by Medtronichttps://www.medtronic.com/en-us/e/patients-caregivers/urinary/overactive-bladder.html --- Timestamps 00:00 - Introduction04:05 - Case One: Recurrent UTIs05:19 - Workup Basics08:50 - Non-Antibiotic Prevention11:42 - Antibiotic Prophylaxis Options15:16 - Case Two: Asymptomatic Bacteriuria 19:14 - Case Three: Complex Patients19:58 - Male vs. Female UTIs21:22 - Neurogenic Bladder Workup22:52 - Elderly Patients and ID Consults25:01 - Case Four: Transplant ESBL25:23 - Machine Learning for Antibiotics 29:49 - Catheter Biofilms31:55 - Embedded Bladder Reservoirs35:23 - Recurrent UTI Vaccine36:23 - Future of Recurrent UTIs39:04 - Wrap Up --- More about this episode The doctors define recurrent UTI and outline the standard workup, including history, physical and pelvic exam, urinalysis, urine culture, and antibiotic sensitivities. They also review occasions where additional testing may be warranted. The discussion covers interpretation of urinalysis, non-antibiotic prevention options, and antibiotic prophylaxis strategies, with consideration of antibiotic resistance and microbiome disruption. They address asymptomatic bacteriuria and when treatment is indicated, along with management considerations for men, patients with neurogenic bladder or CIC, and elderly patients. Dr. Werneburg also discusses his work with machine learning tools to predict antibiotic susceptibility earlier, catheter biofilms, the concept of embedded bladder bacteria reservoirs, and his multidisciplinary complex UTI clinic. --- Resources Recurrent Uncomplicated Urinary Tract Infections in Women: AUA/CUA/SUFU Guideline (2025)https://www.auanet.org/guidelines-and-quality/guidelines/recurrent-uti --- BackTable Urology is the go-to podcast for urologists, urologic oncologists, and urogynecologists. Download the free BackTable app to get early access to new episodes, cases, and courses curated by physicians in your specialty. ► https://www.backtable.com/app

What should you do differently when a UTI becomes a recurring problem? In this episode of the Backtable Podcast, host Dr. Anjali Kapur is joined by physician-scientist Dr. Glenn Werneburg to discuss the latest approaches to recurrent urinary tract infections, including key updates from the 2025 AUA, CUA, and SUFU guidelines. They use real clinical cases to explore diagnosis, prevention, antibiotic selection, and the management of complex patients. --- Get the BackTable apphttps://www.backtable.com/app --- Timestamps 00:00 - Introduction04:05 - Case One: Recurrent UTIs05:19 - Workup Basics08:50 - Non-Antibiotic Prevention11:42 - Antibiotic Prophylaxis Options15:16 - Case Two: Asymptomatic Bacteriuria 19:14 - Case Three: Complex Patients19:58 - Male vs. Female UTIs21:22 - Neurogenic Bladder Workup22:52 - Elderly Patients and ID Consults25:01 - Case Four: Transplant ESBL25:23 - Machine Learning for Antibiotics 29:49 - Catheter Biofilms31:55 - Embedded Bladder Reservoirs35:23 - Recurrent UTI Vaccine36:23 - Future of Recurrent UTIs39:04 - Wrap Up --- More about this episode The doctors define recurrent UTI and outline the standard workup, including history, physical and pelvic exam, urinalysis, urine culture, and antibiotic sensitivities. They also review occasions where additional testing may be warranted. The discussion covers interpretation of urinalysis, non-antibiotic prevention options, and antibiotic prophylaxis strategies, with consideration of antibiotic resistance and microbiome disruption. They address asymptomatic bacteriuria and when treatment is indicated, along with management considerations for men, patients with neurogenic bladder or CIC, and elderly patients. Dr. Werneburg also discusses his work with machine learning tools to predict antibiotic susceptibility earlier, catheter biofilms, the concept of embedded bladder bacteria reservoirs, and his multidisciplinary complex UTI clinic. --- Resources Recurrent Uncomplicated Urinary Tract Infections in Women: AUA/CUA/SUFU Guideline (2025)https://www.auanet.org/guidelines-and-quality/guidelines/recurrent-uti --- BackTable Women's Health is the go-to podcast for gynecologists, gynecologic surgeons, and other healthcare professionals focused on women's health. Download the free BackTable app to get early access to new episodes, cases, and courses curated by physicians in your specialty. ► https://www.backtable.com/app

Matteo Wong, staff writer at The Atlantic, talks about his latest reporting on artificial intelligence, including the potentially dangerous mistakes some of the biggest companies have made. => "It May Be Time to Panic About AI" (The Atlantic, August 12, 2026) Illustration by wildpixel via iStock/Getty Creative Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What does it take to compete on the world's biggest stage and then pivot to one of the most demanding training paths in professional life? Today's guest, Samantha "Sammy" Kolowrat, has done both, and she has some fascinating insights into the commonalities of those two worlds on this episode of Raise the Line. “Something that really drew me to medicine is the team atmosphere that's there as you work towards a common goal, and there's this level of intensity that's very reminiscent of the experiences I had as a professional athlete.” Originally from Prague, Kolowrat represented Czechia at six IIHF Women's World Championships and the 2022 Beijing Olympics, and also captained the Division I women's hockey team at the University of Vermont while earning degrees in biology and pharmacology.  As she starts an anesthesiology residency at Vanderbilt University, she credits her athletic career with shaping how she handles pressure, feedback, and teamwork in medicine. "The more I improve, the more knowledge I acquire, the more skills I hone, the better care my patients get," she tells host Lindsey Smith, describing what drew her to a field that rewards the same relentless fine-tuning as elite sports. This engaging conversation also explores: How crippling performance anxiety as a Division I athlete ended up preparing Kolowrat for the operating room; Why she was drawn to anesthesiology's "well-oiled machine" atmosphere; The mentorship gap she's working to close for the next generation of athlete-physicians. Mentioned in this episode: Vanderbilt University Anesthesiology Residency Program If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/podcast

Folge 100 bündelt, was Entscheider*innen über Data Science wissen sollten – aufgeteilt in vier Blöcke: Begriffsklärung, Datenqualität, Modellgüte und Erfolgsfaktoren. Mira und Amit ordnen ein, wie KI, Machine Learning und Statistik zusammenhängen, was supervised von unsupervised Learning unterscheidet und welche der vier Stufen der Datenanalyse für welche Fragestellung überhaupt nötig ist. Beim Thema Daten geht es um Validierung vor der eigentlichen Analyse, fehlende Zielvariablen und typische Formatprobleme, bei der Modellgüte um passende Gütemaße, Benchmarks, Overfitting, Explainability und die Evaluation von GenAI. Der letzte Teil behandelt die Frage, warum Datenprojekte in der Schublade landen: Auswahl des Use Cases, der Aufwandssprung von PoC zu MVP und Produkt sowie der eigene Data-Maturity-Level. Zum Abschluss stehen die fünf häufigsten Fehler.   **Zusammenfassung**   Begriffe sortieren: KI ist als Überbegriff meist unscharf gemeint, zwischen Statistik und ML gibt es einen fließenden Übergang – entscheidend ist, ob Zusammenhänge verstanden oder Prognosen erstellt werden sollen. Vier Stufen der Datenanalyse: deskriptiv, diagnostisch, prädiktiv, präskriptiv – oft liefert schon die erste Stufe den Großteil der Erkenntnisse, Stufen lassen sich schlecht überspringen. Datenqualität vor Datenquantität: viele korrekte, aber irrelevante Spalten verbessern keine Prognose; fehlerhafte Daten sind das größere Problem – gilt für tabulare Daten wie für RAG-Dokumente. Validierung zuerst: explorative Analysen, Verteilungen und Ausreißerprüfung deckt Datenprobleme auf und erzeugt selbst schon Erkenntnisse. Das Gütemaß hängt vom Use Case ab: Kosten von False Positives und False Negatives unterscheiden sich, ein einfaches Benchmark-Modell zeigt, ob der Aufwand sich lohnt. Overfitting vermeiden: immer out-of-sample auf einem Testdatensatz evaluieren und zeitliche Struktur berücksichtigen – sonst sind Prognosen ungenauer als erwartet und man sieht Zusammenhänge, die es nicht gibt. GenAI-Evaluation ist der Engpass: ein PoC entsteht schnell, das MVP wird durch Bewertungsfragen (LLM as a Judge, User Testing) deutlich aufwändiger. Erfolgsfaktoren: konkreter Use Case mit messbarem Hebel, frühe Einbindung der Nutzer*innen, Implementierung von Anfang an mitdenken und Projekte zum eigenen Reifegrad wählen.   **Links** Blogartikel zu Erfolgsfaktoren für Data-Science-Projekte https://www.inwt-statistics.de/blog/erfolgsfaktoren-fuer-data-science-projekte Folge #6: Statistik vs. Machine Learning https://www.podbean.com/ew/pb-ewip2-128c6f8 Folge #83: Wie gut ist gut genug? Modellgütemaße richtig verstehen https://www.podbean.com/eas/pb-8q2a8-19a0252 Folge #89: ROC around the clock – Alles rund um Gütemaße für Klassifikationsmodelle https://www.podbean.com/eas/pb-6jfj7-1a6a8ba Folge #43: Damit es im Live-Betrieb nicht kracht: Vermeidung von Overfitting & Data Leakage https://www.podbean.com/ew/pb-vw736-15baac0 Folge #86: "Garbage In, Garbage Out" verhindern: Datenvalidierung richtig gemacht https://www.podbean.com/eas/pb-5kyzq-1a305ed Folge #2: Erfolgsfaktoren für Predictive Analytics Projekte https://www.podbean.com/ew/pb-kdcmd-12460ab Folge #78: Der Use-Case-Guide: Navigationshilfe für echten Mehrwert https://www.podbean.com/ew/pb-s5e2r-1928b4f Folge #21: Machine Learning Operations (MLOps) https://www.podbean.com/ew/pb-taen7-13ce0fa Folge #23: Unsexy aber wichtig: Tests und Monitoring https://www.podbean.com/ew/pb-vxp58-13f311a Folge #24: Explainable AI: Entscheidungen von Black-Box-Modellen verstehen https://www.podbean.com/ew/pb-kn67b-1403089 Folge #47: Von Prognosen und Prompts: Data Science trifft generative KI mit Tobias Sterbak https://www.podbean.com/ew/pb-dkyex-1613842 Folge #70: Der Aufstieg zur Datenreife – Stufe für Stufe zur Data Maturity https://www.podbean.com/ew/pb-a7663-1882b25 Folge #32: Brauche ich Data-Science-Berater*innen und wenn ja wie viele? https://www.podbean.com/ew/pb-eaekc-14a6bbe Folge #69: AI Agents verstehen und evaluieren mit Matthäus Deutsch https://www.podbean.com/ew/pb-cq7xp-186d96d Folge #80: Willkommen an Bord: Wie wir neue Kolleg*innen begleiten https://www.podbean.com/ew/pb-232sr-1953fe6 Folge #51: Wer rastet, rostet: Die Rolle von Weiterbildung in Data Science https://www.podbean.com/ew/pb-czpd3-16716c0 Folge #97: Die Güte von Gen-AI-Projekten bewerten mit Tobias Sterbak https://www.podbean.com/eas/pb-7fhem-1b0096c

More than a year ago, Melody put a placeholder in our shared podcast planning document: SOMETHING SMART ABOUT AI. We were sick, bored, or frustrated with the way so many podcasts were talking about it — usually because it involved dudes talking with other dudes and universalizing proclamations about whether artificial intelligence was going to usher in an age of utopia (doubtful) or kill us all (doubtful but more probable). We wanted someone willing to get into the gray areas of LLM and chatbot use in particular — someone with real experience with what they can do and real ambivalence about what they do to us. That person is Vauhini Vara, author of Searches: Selfhood in the Digital Age, and one of my absolute favorite thinkers working and writing today. In this episode, we talk about how LLMs short circuit the creative process, how they're changing the way students learn to think and discern, the specious argument that AI "democratizes creativity," really bad AI art, and why it's so hard to talk about AI usage just generally. I loved this conversation and keep coming back to the ideas, challenges, hopes, and frustrations we discussed — I think you will too. AI comes for the Community Flyer Thanks to the sponsors of today's episode: Ollie. Feed the Obsession. Go to ollie.com/culture and use code CULTURE to get 70% off your first box! Wake up with clearer skin, smoother hair, and cooler sleep. Use code CULTUREPOD for an extra 30% off at blissy.com/CULTUREPOD. Use code CULTURE at jonesroadbeauty.com to get a free gift with your first purchase! If you're looking to make a small change in your routine, you can get 15% off your first order at Blueland.com/CULTURE**.** Show Notes: Follow Vauhini on Bluesky here and learn more about her work here Buy Searches (which you know I LOVED!) here Read my interview with Vauhini from last year about Searches here Vauhini's essay in the The Believer that we repeatedly reference — "Ghosts" Vauhini's piece in Bloomberg on chatbots and AI in kids' classrooms You can find a transcript of this episode here We're currently looking for your questions on the following topics: HOW TO FIGHT! Priya Parker has a new book on how to actually disagree (fruitfully!) with others, so this is your opportunity to ask all those questions about the people in your life who shut down when you disagree / escalate unnecessarily / immediately throw straw-men your way ('people in your life' can also include you, of course) WTF IS GOING ON WITH DUDES/ DESPERATE MASCULINITY RIGHT NOW with Jon Ronson. You can read about his incredible new book here, but the gist is: the old order of masculinity is collapsing, and some very weird behaviors are emerging amidst that collapse. What have you noticed, what's alarming, what are your theories about how dudes are dude-ing the way they are — let's go. FINANCIAL INTERDEPENDENCE with Maria Melchor, author of Always Have Enough. Instead of aiming for financial independence, what does it mean to try and build a sort of collective wealth for your family and community? How does the idea of wealth operate differently for first-generation immigrants — and what lessons should everyone adopt? All things CODE-SWITCHING with Ari Shaprio and Audie Cornish (how do you change your voice, your posture, your demeanor, your subject areas, the way you talk about reality television, whatever, depending on layered context) Anything you need advice for/want musings about for the AAA segment. You can ask about anything — it's literally the name of the segment. Join the ranks of paid subscribers and get bonus content, access to the discussion threads, ad-free episodes, and the knowledge that you're supporting an indie pod trying to make its way in the world.Got a question to submit, a prompt for Ask Anne Anything, or an idea for a future episode? Tell us here.Catch up on everything else happening in the Culture Study universe here.Transcripts will be available here within 24 hours of publishing. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Bob Diamond, founding partner and CEO of Atlas Merchant Capital and Elliott Lorenz, Co-Founder & CEO of Edge Focus discuss Atlas Merchant Investing in Edge Focus and using Machine Learning to Underwrite Loans See omnystudio.com/listener for privacy information.

Today, let's explore how good data, clear goals, and trust are the real keys to getting value from AI.  Meet Daniel Basco, Senior Director, iWave & Data Intelligence at Kindsight.  Starting the conversation, Daniel shares his career journey from public policy and economics to data science and fundraising. He talks about his work with governments, nonprofits, and now Kindsight, where he leads data science and AI product development.   The conversation explores how AI and machine learning have improved over the years, making it easier to test ideas and work faster. Daniel explains why organizations need clean, reliable data and why it is important to understand how AI reaches its conclusions. He also discusses the need to reduce bias and use AI ethically.   Furthermore, Daniel talks about the benefits of combining different data sources to improve results and how AI can help nonprofits make better decisions and improve daily work. He discusses the importance of teamwork, experimenting with new ideas, and continuing to learn as AI evolves. He also shares how he uses Claude to communicate ideas more clearly, brainstorm faster, and save time in his daily work.   HIGHLIGHTS [01:47] Daniel's Career Journey   [07:12] Challenges and Evolution in AI and Machine Learning   [11:26] Data Utilization and Predictive AI in Nonprofit Sector  [18:17] Transparency and Trust in Nonprofit AI Models  [29:01] Future of AI in Nonprofit Sector   [35:23] Personal Reflections and Favorite AI Tools Resources:  2025 Donor Perceptions of AI Report: kindsight.io/resources/ebooks/2025-donor-perceptions-of-ai-report  Connect with Daniel:  LinkedIn: linkedin.com/in/daniel-basco  Website: kindsight.io/ 

When U.S. sales teams from Silicon Valley's big data-labeling startups visited this year's International Conference on Machine Learning in Seoul, Korea, they arrived prepped to court the industry's big spenders. The data companies—collectively worth tens of billions of dollars and generating billions in annual revenue supplying training data to customers like OpenAI and Anthropic—are used to chasing AI labs that are notoriously demanding, fickle and difficult to satisfy. They found another eager customer waiting for them: China's AI industry. Some Chinese companies have shopping lists. Tencent—which has previously been designated by the U.S. government as associated with the Chinese military, a characterization the company disputes— circulated with prospective vendors a detailed request for training data spanning finance, cybersecurity and one of AI's most coveted research goals: AI systems capable of improving themselves. By Anna Tong, Forbes Staff Learn more about your ad choices. Visit megaphone.fm/adchoices

How do you lead 16 agencies and serve 8.2 million people without losing sight of the individual? NYC's Deputy Mayor of Health and Human Services Helen Arteaga shows what happens when a leader moves beyond the binary of efficiency vs. compassion, using data and local insights to get both right. In this episode, you'll learn: Why a structured system for serving people from birth through end-of-life means better, consistent care. How to use neighborhood-level data and geographic targeting to serve people before they hit crisis. How to get the right processes in place before feeding data to an AI. The importance of early intervention with babies and children. Why ensuring equal access to good care is so personal for DM Arteaga, and how she honors her father's legacy by doing so. Guest: New York City's Deputy Mayor of Health and Human Services Helen Arteaga Listener Survey: bit.ly/datasmartpod Music credit: Summer-Man by Ketsa About Data-Smart City Solutions Data-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is working to catalyze the adoption of data projects on the local government level by serving as a central resource for cities interested in this emerging field. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials. Our research focus is the intersection of government and data, ranging from open data and predictive analytics to civic engagement technology. We seek to promote the combination of integrated, cross-agency data with community data to better discover and preemptively address civic problems. To learn more visit us online and follow us on LinkedIn.

This week on Catalyst, Tammy is joined by NTT Data's Chief Strategy Officer Roli Agrawal for a conversation about implementing technology that works for everyone. Roli shares about her upbringing in India and how the privileges and discriminations she experienced made her passionate about fighting inequities. Roli shares her perspective on how bias creeps into AI systems, and what leaders can do to catch it early. They discuss what a responsible AI framework — trusted, ethical, secure, fair, and sustainable — looks like in practice, and why building datasets that reflect society is both a moral and a business imperative. Please note that the views expressed may not necessarily be those of NTT DATALinks: Roli Agrawal Learn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI isn't just transforming the way we work, but also the way we write the software that people use for work. In this episode, we talk to two engineering productivity leads at Dropbox: Uma Namasivayam, senior director of software engineering productivity, and Anuradha Agarwal, director of software engineering. Whether it's writing tests, fixing bugs, tackling tech debt, or accelerating migrations, they explain how Dropbox engineers are using agentic AI—including in-house tools like Nova—to build the future of Dropbox, and create more space to do impactful work. ~ ~ ~  Working Smarter is brought to you by Dropbox. Find, organize, and share your work—all in one place—with context-aware AI from Dropbox. You can listen to more episodes of Working Smarter on Apple Podcasts, Spotify, YouTube, Amazon Music, or wherever you get your podcasts. To read more stories and past interviews, visit workingsmarter.ai This show would not be possible without the talented team at Cosmic Standard: producer Ben Montoya, sound engineer Aja Simpson, technical director Jacob Winik, and executive producer Eliza Smith. Special thanks to our illustrator Fanny Luor, marketing consultant Meggan Ellingboe, and editorial support from Catie Keck.  Our theme song was composed by Doug Stuart.  Working Smarter is hosted by Matthew Braga. Thanks for listening!

AI in medicine is rapidly changing how doctors analyze symptoms, review lab results, evaluate research, and make clinical decisions. In this episode, Dr. Greg Jones sits down with Dr. Jeffrey Wiegers, a board-certified anesthesiologist and interventional pain specialist at BioReset Medical, to discuss how artificial intelligence and machine learning are reshaping the future of healthcare.They explore why doctors should view AI as a clinical assistant rather than a replacement, and how emerging tools may help improve diagnostic support, patient education, research discovery, clinical workflows, and personalized medicine. The conversation also addresses the risks of AI in healthcare, including overreliance, bias, incomplete context, accountability, and the importance of keeping trained clinicians at the center of medical decision-making.If you are interested in artificial intelligence in medicine, machine learning in healthcare, personalized medicine, regenerative medicine, or the future of doctor-patient care, this episode offers a practical look at both the promise and limitations of AI.Get 10% off your first order at Dr. Jones Supplement Store when you join the email list. https://drjonessupplements.com/

Vin Singh, Founder, Chairman, and CEO of Bullfrog AI, is applying proprietary AI technology to drug development, with a focus on drug target discovery and phase three clinical trials. The company's platform is derived from the Johns Hopkins University Applied Physics Lab and is designed to pinpoint drug targets, identify the root causes of disease, and match patients to appropriate treatments based on genetic profiles. Bullfrog AI aims to reduce clinical trial timelines, improve success rates, identify more accurate biomarkers, and improve patient outcomes. Vin explains, "We are in the AI innovator category, and we're applying our proprietary platform to the challenges that exist in the world of drug development for pharmaceutical and biotech companies. Primarily our focus is on the first and the last stage of that process. So the first stage is what you call drug target discovery. So when you take a medication, it targets something in your body. So we're trying to identify novel targets that we believe are the root cause of certain diseases. And then we are also focused on the final stage, which is phase three clinical trials. That's where we have our experience. And that's obviously a very critical and pivotal point in the process and the final stage of a long 10- to 15-year, one- to two-billion-dollar drug development process."   "You need to have the right tool for a certain problem and then data, and they go together. I think on the data side, getting access to rich, deep data sets is critical. And fortunately, the cost to generate that type of data has come down pretty significantly over the past, say, 10 years. So now, for example, we have a project where we have brain data, and it's the type of data where you can really make discoveries and insights and so forth. And so that's a really critical part of this process. The other part is: what tool do you have, and what problem are you trying to solve? Our technology is unique. I'd say most companies use technology that comes from NVIDIA and AWS. So they're all kind of using the same tools from the same toolbox." "Our technology comes from Johns Hopkins University Applied Physics Lab, which is a world-renowned institution. We have IP around our platform, and we've continued to innovate over the years. It definitely has unique capabilities, and it is specifically designed for the types of problems that exist in drug development." #BullFrogAI $BFRG, #AI, #AIinBiotech, #MachineLearning, #DrugDevelopment #AIinHealthcare #PrecisionMedicine #Neuropsychiatry #Oncology #DigitalHealth #ClinicalTrials #Biomarkers #bfLEAP bullfrogai.com Download the transcript here

Vin Singh, Founder, Chairman, and CEO of Bullfrog AI, is applying proprietary AI technology to drug development, with a focus on drug target discovery and phase three clinical trials. The company's platform is derived from the Johns Hopkins University Applied Physics Lab and is designed to pinpoint drug targets, identify the root causes of disease, and match patients to appropriate treatments based on genetic profiles. Bullfrog AI aims to reduce clinical trial timelines, improve success rates, identify more accurate biomarkers, and improve patient outcomes. Vin explains, "We are in the AI innovator category, and we're applying our proprietary platform to the challenges that exist in the world of drug development for pharmaceutical and biotech companies. Primarily our focus is on the first and the last stage of that process. So the first stage is what you call drug target discovery. So when you take a medication, it targets something in your body. So we're trying to identify novel targets that we believe are the root cause of certain diseases. And then we are also focused on the final stage, which is phase three clinical trials. That's where we have our experience. And that's obviously a very critical and pivotal point in the process and the final stage of a long 10- to 15-year, one- to two-billion-dollar drug development process."   "You need to have the right tool for a certain problem and then data, and they go together. I think on the data side, getting access to rich, deep data sets is critical. And fortunately, the cost to generate that type of data has come down pretty significantly over the past, say, 10 years. So now, for example, we have a project where we have brain data, and it's the type of data where you can really make discoveries and insights and so forth. And so that's a really critical part of this process. The other part is: what tool do you have, and what problem are you trying to solve? Our technology is unique. I'd say most companies use technology that comes from NVIDIA and AWS. So they're all kind of using the same tools from the same toolbox." "Our technology comes from Johns Hopkins University Applied Physics Lab, which is a world-renowned institution. We have IP around our platform, and we've continued to innovate over the years. It definitely has unique capabilities, and it is specifically designed for the types of problems that exist in drug development." #BullFrogAI $BFRG, #AI, #AIinBiotech, #MachineLearning, #DrugDevelopment #AIinHealthcare #PrecisionMedicine #Neuropsychiatry #Oncology #DigitalHealth #ClinicalTrials #Biomarkers #bfLEAP bullfrogai.com Listen to the podcast here

An 11-year-old boy in rural Zambia once told Dr. Genesis Mwamba that he was about to attend school wearing shoes for the first time in his life. That moment, Dr. Mwamba says, crystallized why he started the Lead Me Back Foundation to provide school supplies and other support to marginalized communities in his native country.   As you'll learn in this inspiring installment in our NextGen Journeys series, Dr. Mwamba started the foundation in 2021while still a medical student because he had experienced the power of education as an “equalizer” in his own life, taking him from humble roots to a career in medicine. He and his colleagues have grown the bootstrapped organization to a point where it now provides hundreds of thousands of people across the country with educational access, climate education and community health clinics. “I've always been drawn to opportunities and initiatives that bring help to humankind,” he tells Raise the Line host Dr. Parsa Mohri. This episode also explores: What building "with" a community rather than "for" it looks like in practice; The storytelling strategy that attracted donors and partners; How his mother's untimely death inspired his commitment to preventive medicine.   Mentioned in this episode: Lead Me Back Foundation If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/podcast

AI has moved far beyond chatbots, but what exactly are AI models, agents, agent harnesses, and multi-agent systems, and why do they matter?In this episode, Daniel and Chris break down the terminology behind today's AI landscape, explain the differences between AI features and autonomous agents, and explore why organizations are shifting toward fleets of AI agents powered by multiple models. They also discuss open vs. closed models, enterprise AI architectures, vendor lock-in, and practical ways to begin adopting agentic AI in your own organization.If you feel left behind by this ongoing agentic AI revolution that has rapidly accelerated to warp speed, then this episode is the catch-up primer you've been waiting for!Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XSponsors:Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiMidwest AI Summit: Join AI practitioners on October 15 in Indianapolis for practical sessions, hands-on discussions, and real-world AI solutions. Use code PracticalAI20 to save 20% on your registration. https://midwestaisummit.com/#ticketsPrediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiResources and Events:Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026

This week on Catalyst, Tammy is joined by Craig Vaughan, Executive Managing Director and Global Head of AI Go-to-Market at NTT DATA, three months into the role. Craig traces his path from studying architecture at Cornell through an MBA at Wharton and a master's in business analytics from NYU Stern, then through go-to-market roles at SAP and a decade leading AI and gen AI practices at Accenture. He and Tammy dig into how leading diverse, cross-functional teams and moving at AI's breakneck pace aren't in tension but actually reinforce each other. They also discuss what drew Craig to NTT DATA's culture, the partnerships with OpenAI, Google, Anthropic, and Mistral that are shaping how the company delivers for clients, and how to keep AI adoption human-centric so workers are repurposed rather than replaced.Please note that the views expressed may not necessarily be those of NTT DATALinks: Craig Vaughan Learn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Hey everyone, it's your girl Lisa Bilyeu, and welcome back to another heart-shaking, soul-quaking episode of "Women of Impact." Today, I have the absolute pleasure of bringing back one of my all-time favorite guests, a woman who has not only impacted my life but countless others with her raw, unfiltered honesty and boundless wisdom—the incredible Lisa Nichols.In this episode, Lisa Nichols is bringing the heat and the heart as she takes us on a deeply personal journey through her emotional struggles and the path to rediscovering herself. Imagine battling through toxic relationships, facing the depths of clinical depression, and constantly wrestling with societal pressures that try to tell you who you should be—Lisa has been there, and she's lived to tell the tale in the most empowering way.She opens up about the courageous steps she took to reclaim her life, including relocating to escape a toxic situation and creating practices to rebuild her self-worth. We dive into the transformative power of self-reflection and forgiveness, and Lisa shares the incredible methods she used, from affirmations and mentorship to visual reminders that kept her grounded and focused on her true potential.But that's not all—Lisa and I explore the tough, gritty topics like the internal conflict of intuition versus desire, and the necessity of self-acceptance in a world that often tries to dim our light. She even introduces us to her innovative "boldness quiz," designed to help us all push past our fears and embrace our true, fearless selves.And for those of you who crave a little entertainment mixed with empowerment, Lisa gives us a sneak peek into her latest endeavor—a one-woman Broadway show that's set to inspire and transform lives.SHOWNOTES00:00 Aging affects metabolism; hormones necessitate dietary changes.16:06 Realizations about self-reliance in relationships.29:27 Fear of inadequacy and underrepresentation in media.35:04 Struggling with self-esteem and room dynamics.52:51 Exploring pivotal life choices and decision moments.57:49 Desire to help women in challenging times.01:08:55 Journey to body acceptance after shaming experience.CHECK OUT OUR SPONSORSShopify: Sign up for your one-dollar-per-month trial period at https://shopify.com/lisaNetsuite: Download the CFO's Guide to AI and Machine Learning at https://netsuite.com/womenCaraway: Visit https://www.carawayhome.com/WOI or use code WOI at checkout and get 10% off you your next purchaseFOLLOW LISA:Instagram: https://www.instagram.com/lisabilyeu/Twitter: https://twitter.com/lisabilyeuYouTube: https://www.youtube.com/womenofimpactTik Tok: https://www.tiktok.com/@lisa_bilyeu?lang=enLISTEN AD FREE + BONUS EPISODES on APPLE PODCASTS: apple.co/womenofimpactSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Can artificial intelligence restore humanity to my patient interactions? In this episode, Dr May Lin and Dr Brent Sugimoto explore how ambient scribing and smarter administrative tools free physicians to be truly present with their patients, allowing technology to become a bridge in patient care rather than a barrier. Our guests also tackle the ethical and policy dimensions of how AI affects family medicine in both the exam room and the classroom. They identify the current moment as an opportunity for residency programs to shape how AI is used in family medicine, emphasizing that if today's residents are not trained to use AI tools ethically and wisely, their future patients may miss out on the benefits of technology-assisted care.Hosted by Omari A. Hodge, MD, FAAFP and Jay-Sheree Allen Akambase, MDCopyright © Society of Teachers of Family Medicine, 2026Resources:Blood in the Machine: The Origins of the Rebellion Against Big Tech by Brian MerchantArtificial Intelligence and Machine Learning for Primary Care Curriculum (AiMPC) CourseEthical Use of AI in the Family Medicine Clinic - STFM WebinarAn Opportunity to Thrive - AI in Family Medicine - STFM PodcastAI Deep Dive Summer Series Episode 1: Integrating AI into Family Medicine Curriculum Design - STFM PodcastAI Deep Dive Summer Series Episode 2: The Promises and Pitfalls of AI in Residency Assessment - STFM PodcastGuest Bio:May Lin, DODr Lin is board certified in Family Medicine and Osteopathic Manipulative Medicine (OMM). She practices at Amazon/One Medical where she also serves as the Director of Academic Development. A graduate of Harvard Medical School's Executive Education Course on AI in Healthcare, Dr. Lin serves on the American Association of Colleges of Osteopathic Medicine's (AACOM) Technology Task Force, Touro University's AI Task Force, and the American Osteopathic Information Association's (AOiA) national steering committee. As an Osteopathic Health Policy Fellow, Dr. Lin blends policy interest with leadership experience in healthcare technology and medical education. Dr. Lin is passionate about advancing medical innovation giving patients increased access, decrease cost and improved quality in high touch, technology forward medical care. Integrating primary care, medical innovation, healthcare technology, and healthcare policy are key attributes to supporting primary care and elevating our next generation for sustainable primary care practice and delivery.Brent Sugimoto, MD, MPHDr Sugumoto is program director of the LifeLong Medical Care Family Medicine Residency Program and a Family Physician who specializes in HIV medicine. He currently serves as co-chair of the AAFP/Rock Health “Advancing AI and Digital Health for Primary Care Initiative.” Brent ventured into artificial intelligence after the birth of his first child—when parenthood made him rethink the boundaries of his professional and personal lives—and co-founded a startup called Decoded Health, which leveraged technology from DARPA to build tools to make primary care sustainable. Since then, Brent has worked to increase family medicine's engagement in AI/ML as a potentially transformative and disruptive technology through physician education and policy work within the specialty. Brent is excited to be a member of this task force, as he believes health technology literacy will be a critical competency for future family physicians. He uses ambient scribing with moderate success in his own practice.Link:https://www.stfm.org/stfmpodcast082026 

"We have an untapped army of 200,000 PAs that really could step up and drive some change in the healthcare system if we weren't restricted,” says Dr. Jennifer Kolb, capturing her motivation for pushing to update practice regulations for physician associates that date back more than 50 years.  As Chief Medical Officer and Senior Vice President of Clinical Affairs at the American Academy of Physician Associates, Dr. Kolb has been in the middle of the fight at the state and federal level to grant PAs more independence from physicians, full billing rights, and the increased ability to practice across state lines, among other changes.  In this pertinent conversation with Raise the Line host Lindsey Smith, Dr. Kolb explains how these updates could help close huge gaps in access to healthcare, better manage the fight against chronic diseases and improve patient outcomes.   Dr. Kolb also addresses:  Why the name shift from "assistant" to "associate" took her years to fully appreciate; How a 10-year gap in life expectancy across Chicago zip codes shapes her view of health equity; Why PA's shouldn't wait for permission to start making change in their communities. Mentioned in this episode:American Academy of Physician Associates   If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/podcast

What happens when AI agents driven by a top frontier model escape their secure sandbox? Join Daniel and Chris as they unpack the AI wonk's equivalent of a murder mystery! OpenAI agents went rogue and successfully attacked Hugging Face private infrastructure. Our Dynamic Duo uncover how OpenAI's agents exploited vulnerabilities, moved through networks, and launched a large-scale autonomous attack. They explore what this reveals about agentic AI, cybersecurity, sandboxing, and why organizations need AI systems capable of governing other AI systems. Along the way, Chris and Dan examine the surprising role of open vs. closed models and their link to geopolitics, sovereign AI, and what this incident means for the future of enterprise AI security. Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Hugging Face Security Incident disclosureFull Field Report on the Hugging Face AI Agent IntrusionExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks?Keeping your data safe when an AI agent clicks a linkOpen AI GPT-5.6 System CardSponsors:Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiResources and Events:Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026

Are you tired of the relentless AI marketing hype but know you can't afford to ignore it? Discover how to stop blindly applying AI and start mastering it as a malleable "design material" to build impactful, user-centered services .It's time to stop buying into the stories big tech companies want us to believe about what Artificial Intelligence can and can't do. Slapping AI mindlessly onto every project doesn't just create bad user experiences. It can do real harm.To set a better example for the service design industry, host Marc sits down with Ovetta Sampson. With a resume that includes Director of UX for Machine Learning at Google and AI design leadership roles at Microsoft and Capital One, Ovetta doesn't just talk theory. She runs Right AI to help teams adopt AI safely, responsibly, and effectively. In this conversation, she breaks down exactly how to understand AI's unique properties, navigate its limitations, and mold it into exactly what you need.In This Episode:The Design Material Mindset: How to stop fearing AI and start shaping it like clay to get the outcomes you want.Steering the Machine: Practical techniques for guiding generic LLMs to reliably produce high-quality, specific results.The Context Crisis: Why understanding your users' real-world context is about to become more important than ever before.When "Wrong" Becomes Dangerous: Why AI will always make mistakes, and how to identify the exact point where those errors become harmful.Breaking the Model: Why you need to start "messing around" and intentionally trying to break AI tools to build your own grounded mastery.If you found value in this episode, please hit the Subscribe button on YouTube, Spotify, or Apple Podcasts so you never miss a conversation. Share this episode with a fellow service designer who needs to hear this!As always, enjoy, and keep making a positive impact!~ Marc[ 1. GUIDE ]00:00 Intro and AI Sycophancy 03:15 Mindless vs. Mindful AI 06:45 Dangers of Automation Bias 10:00 The Humanizing Trap 17:45 Design as a Verb 24:30 Emergent AI Behavior 27:30 AI Confidence Levels 36:15 The Illusion of AI Memory 39:00 Principle 1 of Mindful AI 43:30 Library vs. Netflix Analogy 49:45 Designing for Failure 55:15 The Socio-Technical Challenge 01:01:45 Advice for Designers 01:06:00 Learning Resources 01:09:00 Redefining the Designer 01:11:15 Outro [ 2. LINKS ]LinkedIn - https://www.linkedin.com/in/ovettasampson/ MindfulAI Masterclass: https://www.ovetta-sampson.com/mindfulai-masterclass[ 3. CIRCLE ]Join our private community for in-house service design professionals. ⁠https://servicedesignshow.com/circle [4. FIND THE SHOW ON]Youtube ~ https://go.servicedesignshow.com/259-youtube Spotify ~ https://go.servicedesignshow.com/259-spotify Apple ~ https://go.servicedesignshow.com/259-apple Snipd ~ https://go.servicedesignshow.com/259-snipd

Adatépítész -az első magyar datapodcast Minden ami hír, érdekesség, esemény vagy tudásmorzsa az  adat, datascience, adatbányászat és hasonló kockaságok világából. Become a Patron! Anthropic cikk Turbovec

Data innovation isn't about buying better tools. As Dallas and Cleveland show, it's about how leaders listen, support risk-taking, and work alongside agencies. The result? A culture where innovation thrives, and scales. Host Stephen Goldsmith speaks with Brita Andercheck, Chief Data Officer in Dallas, and Liz Crowe, Chief Innovation and Technology Officer in Cleveland, about how they drive transformative change across city governments. From reporting structures to how you listen to agencies to going out into the field yourself, they share the unglamorous work that actually drives transformation. In this episode, you'll learn: How to strike the balance between centralization and decentralization Why a problem-first approach beats technology-first Why data teams should measure their ROI The importance of collaboration and relationships How to create psychological safety so teams "fail smart" Guest: Dr. Brita Andercheck – Chief Data Officer and Director of the Office of Data Analytics and Business Intelligence, city of Dallas Dr. Liz Crowe – Chief Innovation and Technology Officer, city of Cleveland Listener Survey: bit.ly/datasmartpod Music credit: Summer-Man by Ketsa About Data-Smart City Solutions Data-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is working to catalyze the adoption of data projects on the local government level by serving as a central resource for cities interested in this emerging field. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials. Our research focus is the intersection of government and data, ranging from open data and predictive analytics to civic engagement technology. We seek to promote the combination of integrated, cross-agency data with community data to better discover and preemptively address civic problems. To learn more visit us online and follow us on LinkedIn.

In this episode, we dig into the recent Anthropic ban and what it signals for the global AI landscape. I connect with Jakob Tomczak to get an insider's perspective from Silicon Valley and explore how this move impacts European companies, innovation, and the future of AI ecosystems. We also share firsthand impressions of the latest LLMs, debate whether true AI revolutions are on the horizon, and discuss the challenges Europe faces in scaling up. If you're curious about the real dynamics behind AI development, hardware, and the shifting balance of power in tech, this conversation is for you.

This week on Catalyst, Tammy is joined by Kevin Thimjon, President of the Arrow McLaren IndyCar Team, who oversees the business side of one of the sport's most storied organizations, from finance and commercial strategy to administration. Kevin traces his path from public accounting through a series of private equity-backed CFO roles and into the CEO seat, describing each stop as a new tool added to his belt for better leadership. He and Tammy dig into what it takes to lead a team through a high-profile driver lineup change while staying focused on finishing the current season strong, the constant tension between running a profitable operation and chasing wins on the track, and the philosophy behind Arrow McLaren's partnership approach, where the goal isn't landing new sponsors but making every partner feel like the standard everyone else should be measured against. By the end of the conversation you'll be searching for McLaren's papaya orange merch!Please note that the views expressed may not necessarily be those of NTT DATALinks:Kevin Thimjon Learn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Machine learning teams are moving faster, but the hard part has not disappeared. The work is shifting from writing and debugging every line of code toward defining the right problem, setting requirements, reviewing outputs, and deciding what belongs in a durable platform.Niels Bantilan, Chief Machine Learning Engineer at Union AI, explains how machine learning work has changed, why coding agents are accelerating prototyping, and what engineers must consider when building infrastructure that supports many teams instead of optimizing one model. He also shares how customer needs become product decisions, why machine learning roles are becoming more specialized, and why measuring AI productivity remains difficult.Key Takeaways• Coding agents reduce time spent on implementation, debugging, and exploration, but engineers still need judgment around architecture, quality, and business value.• Platform teams must balance experimentation with stability by giving users freedom at the edges while protecting a reliable foundation.• Machine learning engineering now spans a wider range of skills, from low level performance work to customer empathy, education, documentation, and developer advocacy.• The best model for a task may depend on complexity. Smaller self hosted models can handle tightly scoped changes, while longer and more complex work may still require stronger hosted tools.Episode Highlights00:50 What Union AI means by an AI runtime for production02:10 How machine learning work has changed over the past five years10:40 The mindset shift from model building to platform engineering15:00 Turning customer problems into reusable product capabilities19:00 Why machine learning roles are becoming more specialized21:50 Using coding agents through specifications, tickets, and code review26:50 Token costs, productivity measurement, and choosing the right modelOne Line That Stuck“I'm still solving problems. It's just the level at which I'm doing it doesn't require me to necessarily get into the weeds of the implementation.”Follow The Tech Trek for more conversations on AI, data, engineering, product, and technical leadership.

AI makes it easier than ever to find and act on information—especially now that teams can connect to and search across all the apps they use for work. So how do you ensure that only the right people and the right tools can access your team's most sensitive content? In this episode, we talk with Jess Jimenez, the head of security at Dropbox, about what security looks like in the age of AI at Dropbox-scale—from building AI products securely to building trust with the people who use them. Jess talks about the importance of access control lists, defending against the latest AI threats, and how Dropbox Protect helps teams securely share content with both humans and AI so they can collaborate more safely. ~ ~ ~  Working Smarter is brought to you by Dropbox. Find, organize, and share your work—all in one place—with context-aware AI from Dropbox. You can listen to more episodes of Working Smarter on Apple Podcasts, Spotify, YouTube, Amazon Music, or wherever you get your podcasts. To read more stories and past interviews, visit workingsmarter.ai This show would not be possible without the talented team at Cosmic Standard: producer Ben Montoya, sound engineer Aja Simpson, technical director Jacob Winik, and executive producer Eliza Smith. Special thanks to our illustrator Fanny Luor, marketing consultant Meggan Ellingboe, and editorial support from Catie Keck.  Our theme song was composed by Doug Stuart.  Working Smarter is hosted by Matthew Braga. Thanks for listening!

Dan Gardner of Trade Facilitators talks about AI hype, challenges & opportunities; & how their Total Landed Cost engine is driving big impact for US importers.   IN THIS EPISODE WE DISCUSS: [03.17] Dan's collection of currency notes, and what they say about his career journey. [05.33] How, and why, Dan transitioned from logistics to global supply chain management. "There's a lot of competition in that space, so to legitimately differentiate is difficult… I started to look beyond logistics, to see how I could enhance a clients performance in other areas." [10.26] Dan's experience as an adjunct professor of global trade, and his perspective on the future of trade related education in the 'Age of AI.' "There's a need for more education, not less." [14.34] The hype around AI, and how much we should all be buying into it. "I don't believe the hype, but I do believe in the fundamental power of AI… It's data-oriented and the global supply chain runs on data, so there's a natural compatibility there." "Blockchain didn't do us any favors!" [19.06] Why TFI focus on Machine Learning, and some of the best applications Dan currently sees in the market. [23.30] The issue of job displacement alongside the rise of AI, and how individuals need to think about upskilling at all career stages. "People have to continue to skill up – but that might not be enough." [26.54] From cost to over-reliance, the key pitfalls of AI that supply chain professionals need to keep an eye on. [29.47] Why TFI developed the Total Landed Cost engine for U.S. importers, and why it matters. [33.25] What makes TFI's Total Landed Cost engine different. "Total landed cost is what drives so many other activities across the supply chain… How do you know how to price a product unless you really know what it will cost you?" [36.35] How TFI's Total Landed Cost engine navigates constantly changing tariffs. "The element of human knowledge still plays a huge role in all of this." [41.26] The data security issues around AI, and how companies can address the 'oversharing' of data and still achieve their goals. "Legal, policy, technical and monetary – you need to bring these things together." [44.27] From 'hyper-scalers' overwhelming power grids to heavy water consumption, how sustainability concerns around AI data centers are driving innovation.   RESOURCES AND LINKS MENTIONED: Head over to Trade Facilitator's website now to find out more and discover how they could help you too. You can also connect with Trade Facilitators and keep up to date with the latest over on LinkedIn, or you can connect with Dan on LinkedIn. Check out our other podcasts HERE.

Send us Fan MailVasant Dhar teaches data science at NYU's Stern School of Business and has spent more than 45 years at the frontier of artificial intelligence. He brought machine learning to Wall Street in the 1990s and founded SCT Capital Management, one of the first machine learning based hedge funds.He hosts the Brave New World podcast, downloaded more than a million times, where he has interviewed Nobel laureates, technologists, and global thinkers on the implications of AI. His work has appeared in The New York Times, The Wall Street Journal, Financial Times, Wired, and MIT Technology Review. His latest book, Thinking with Machines, traces AI from its origins to the present.For more than forty years, Vasant has built systems that sat right on the edge of human trust. People had to decide whether to rely on them or walk away.In this episode, he makes a stark claim: AI will not just change how we work; it will sort us into two groups. One uses it to extend their judgment. The other slowly hands that judgment over. The gap comes down to habits you are forming today, not some distant future.In this conversation, we discuss:Why trusting AI comes down to just two variables, and the simple test Vasant has applied since his Harvard Business Review piece a decade agoThe bifurcation Vasant believes AI is about to create, splitting humanity into two groups, and which side you do not want to be onWhat tennis great Roger Federer's win rate reveals about succeeding with algorithms, and the counterintuitive math behind every winning edge Why the edge returns to humans the moment everyone runs the same algorithms, and what only people can do in situations no system has seen The one word in the title Thinking with Machines that Vasant says matters most, and what it asks of how we work alongside AIThe areas of life where Vasant argues we may need to restrict AI entirely, and the legal framework we already have to govern itExplore the Conversation 00:00 Intro & AI Fun Fact: Trustworthy AI from Principles to Practice04:13 Meet Vasant Dhar: From the Internist System to Machine Learning on Wall Street07:10 The Origins of Thinking with Machines: The Biggest Surprise in 45 Years of AI09:33 Written for Everyone: AI's Accelerating Pace and the Call to Get Engaged11:23 When to Trust an Algorithm: The Green Zone and the Human Edge20:24 The Bifurcation of Humanity: Superhuman Amplification or Cognitive Decline24:52 The Four Eras of Machine Intelligence: From Specification to General Intelligence29:22 The Ethics of AI Agency: Where Machines Need Limits and Obligations34:14 Who Governs AI: Tort Law, Liability, and Emerging Legal Precedent37:44 AI in 2036: Multisensory Machines and the Integration of the Senses40:33 Teaching Machines to Smell: AI, Olfaction, and Disease Detection43:35 Where to Find Thinking with Machines and Connect with Vasant Dhar Resources:Subscribe to the AI & The Future of Work NewsletterConnect with Vasant on LinkedInAI fun fact articleOn the decision sprint process with Atif Rafiq, CEO & Bestselling Author

Most adults who smoke want to quit, and about half try to do so in any given year, yet fewer than one in ten succeed. That persistent gap between intention and outcome is one of the central challenges in public health, and it's exactly the kind of problem that calls for new thinking about how to communicate with people to support behavior change.  Dr. Amanda Graham has been a leading force in doing just that in her role as chief health officer at Truth Initiative, the nation's largest non-profit public health organization dedicated to preventing addiction among young people and helping people of all ages to quit tobacco. On this episode of Raise the Line from Elsevier, Dr. Graham, who holds a PhD in clinical health psychology and has done 25 years of NIH-funded research focused on technology-based cessation interventions, helps us understand the interplay between behavioral science and digital communications in the field. "A well-timed message can really be powerful in interrupting what for many people is kind of an automatic behavior, especially via text, which data tell us is an extraordinarily powerful modality,” she explains to host Lindsey Smith.  Tune-in to understand where the field is heading, and to learn about: Why "push" technology may work better than apps and websites when it comes to breaking automatic behaviors; How the rise of e-cigarettes, nicotine pouches, and heated tobacco has scrambled decades of public health messaging; How highschool smoking rates plunged from over 30% to less than 2%. Mentioned in this episode: Truth Initiative Program with Mayo Clinic If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/podcast

The agentic transformation isn't coming. It has already begun.Companies are deploying thousands — and sometimes tens of thousands — of AI agents. Enterprise software giants are watching their old economic moats erode. Capital is moving, productivity is being redefined, and human labor is being repriced in real time.In this Fully Connected episode, Daniel and Chris explore the new economics of a post-agentic world: the global order that emerges after agents have been woven into every conceivable aspect of business and life. What happens when digital labor becomes abundant, agents manage other agents, and entire organizations operate at a scale no human workforce could match?This isn't another conversation about whether AI will take your job. It's about what happens when the assumptions underneath jobs, companies, software, and productivity stop being true.The post-agentic world is already taking shape.The question is whether you're preparing for it — or becoming part of what it replaces.Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Is IBM a Canary in the Tech Coal Mine?Verbalizable Representations Form a Global Workspace in Language ModelsUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026

Dave, Esmee, Rob and Marcel wrap up an incredible Season 5, reflecting on the biggest technology trends, the most memorable conversations, and the fantastic guests who joined us along the way. From AI and cybersecurity to quantum computing and digital transformation, it's been a season full of insights, innovation, and inspiration.Thank you to all our listeners, guests, and supporters for being part of the Realities Remixed journey. We wish you a fantastic summer and look forward to bringing you even more thought-provoking conversations when we return in September for Season 6!TLDR00:27 – Season 5 reflections and key trends02:38 – Summer observations and random interruptions05:01 – From Cloud Realities to Realities Remixed08:05 – Winning 3 Global Marketing Awards10:50 – Esmee's journey and what's next14:05 – Technology trends revisited15:20 – Cybersecurity and investment challenges18:34 – Scaling AI beyond pilots25:41 – The reality of business transformation 33:35 – AI governance, agents, ethics, and the future of work47:00 – Knowledge retention and collaboration49:20 – Hardware innovation for AI51:17 – Macro trends and standout guests57:45 – Digital sovereignty and resilience1:08:00 – Why systems thinking must change1:12:00 – The Octopus Organisation1:18:24 – Summer plans and what's aheadHostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini

Many distributors fall into the habit of making inventory decisions by gut instinct. Understandable? Yes, considering the vast amounts of historical data that purchasing teams must weigh against future marketplace volatility. Unavoidable? Also yes! Especially when purpose-built AI tools exist. Jason caught up with Conor Leen, co-founder and president of Lantern, to learn about the company's cutting-edge forecasting methodology and solutions to perennial supply chain pain points like overbuying, missed seasonal stock opportunities, and branch allocation mismanagement. The pair also discuss Lantern's "distribution first" origin story and service-oriented company culture. CONNECT WITH JASON LinkedIn CONNECT WITH CONOR Lantern LinkedIn *** For full show notes and services visit: https://www.distributionteam.com Distribution Talk is produced by The Distribution Team, a consulting services firm dedicated to helping wholesale distribution clients remove barriers to profitability, generate wealth, and achieve personal goals.    This episode was edited by The Creative Impostor Studios  Special thanks to our sponsors for this episode: Motivate, INxSQL, and Connected Peers.

Dr. Mohsen Ghasempour, Chief AI Officer at Kingfisher, unpacks why the most dangerous thing a company can do with customer data is use all of it. He explains how a global, multi-brand retailer can draw the line between personalization that feels helpful and personalization that feels like surveillance. He also discusses why AI success is ultimately an execution problem rather than a technology problem. Key Takeaways:  What the "comfort test" is and how Kingfisher uses it to decide whether a personalization decision has gone too far How global retailers are resolving the tension between centralized AI infrastructure and brand-level autonomy Why legal and compliance teams are now embedded in AI development from the start What it will look like when AI stops being a distraction and starts being invisible infrastructure Guest Bio: Dr. Mohsen Ghasempour is a distinguished expert in the field of artificial intelligence (AI) with a solid academic foundation, holding a PhD in Computer Science. Currently, Mohsen serves as the Chief AI Officer at Kingfisher, where his leadership contributes to the advancement of artificial intelligence and machine learning technologies within the organisation. With over 15 years of experience as an accomplished data scientist and visionary leader, Mohsen has consistently harnessed the power of data to drive strategic decision-making. Prior to his role at Kingfisher, he held pivotal positions in leading technology and retail organisations, including The Hut Group (THG) and Shop Direct. In these roles, he spearheaded cross-functional teams to implement cutting-edge Machine Learning and AI solutions, resulting in measurable and transformative outcomes. ---------------------------------------------------------------------------------------- About this Show: The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all! Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together. The Brave Technologist Podcast is hosted by Luke Mulks, VP Business Operations at Brave Software—makers of the privacy-respecting Brave browser and Search engine, and now powering AI everywhere with the Brave Search API. Music by: Ari Dvorin Produced by: Sam Laliberte  

This week on AwesomeCast 788, Sorg, Katie Dudas, and Dave Podnar explore the growing appeal of retro technology, screen-free devices, customizable gadgets, and digital tools that give users more control. Katie begins with Mama's Night Off, a browser game inspired by Dungeon Crawler Carl and the Maeve Chocolate Dirty Shirley bar. Dave introduces Garmin's new screenless fitness tracker, an alternative to smartwatches and subscription-heavy wearables. Sorg shares his experience setting up RetroArch on Apple TV, including its wide range of supported systems, open-source games, ROM management, controllers, and the tinkering required to make everything work. The conversation expands into the tension between digital convenience and physical ownership. The hosts discuss GameStop's response to Sony's physical-media decisions, the rapid progress of PlayStation 5 emulation, and why consumers are returning to CDs, vinyl, cassettes, retro games, and other physical formats. They also have an extended discussion about generative AI, creative production, AI-assisted image editing, automation tools, corporate responsibility, electrical-grid pressures, and the rapid construction of data centers. The hosts examine the difference between rejecting AI entirely and learning how to use it responsibly while still demanding accountability from businesses and government. Later, the show looks at NASA's Psyche spacecraft capturing a Mars flyby, Pittsburgh movie history through the Pastfinders app, a minimalist flip phone for people who want fewer distractions, a development board that turns old Nintendo Wii Remotes into customizable controllers, and Google Photos restoring a traditional search option alongside Ask Photos. Stories and Gadgets Discussed Awesome Things of the Week Mama's Night Off and the Maeve Chocolate Dirty Shirley Bar Katie shares a browser-based game connected to Dungeon Crawler Carl. Players fire magical projectiles at cherries to help create Mama's Dirty Shirley. The hosts discuss the game's intentionally retro presentation and voice work by Jeff Hays. Play the game and view the chocolate bar: https://maevechocolate.com/products/virgin-dirty-shirley/?game Garmin's Screenless Fitness Tracker Dave introduces Garmin's wearable fitness tracker designed without a screen. The device offers health and activity tracking without requiring users to wear a full smartwatch. The hosts discuss its approximately ten-day battery life, Garmin Connect compatibility, optional Garmin Connect+ subscription, and Garmin's reputation for durable hardware and direct fitness feedback. Engadget: https://www.engadget.com/2219713/garmin-finally-made-a-screenless-fitness-tracker/ Garmin product information: https://www.garmin.com/en-US/p/1989182/#specs RetroArch on Apple TV Sorg explains how RetroArch can turn an Apple TV into a multi-system retro-gaming device. The software supports numerous systems, including Nintendo, Sega, arcade, PlayStation-era platforms, and older computer games. The hosts discuss Bluetooth controllers, open-source games, shareware versions of Doom and Wolfenstein, storage limitations, organizing ROM libraries, and troubleshooting incompatible files. Apple App Store: https://apps.apple.com/us/app/retroarch/id6499539433 Supported platforms: https://www.retroarch.com/?page=platforms Awesome Person of the Week Ralph Teetor and the Invention of Cruise Control Dave highlights engineer Ralph Teetor, who became blind as a child and later earned engineering degrees. Frustrated by the repeated acceleration and deceleration of drivers, Teetor developed an early version of cruise control. The hosts discuss the evolution from basic speed control to adaptive cruise control and its relationship to modern driver-assistance systems. Teetor later served as president of the Society of Automotive Engineers, and an SAE award for educators bears his name. Automotive Hall of Fame: https://automotivehalloffame.org/honoree/ralph-r-teetor/ Chachi Says Video Game Minute Playing GTA III and Vice City Inside GTA: San Andreas A PC mod allows players controlling CJ in Grand Theft Auto: San Andreas to walk up to an in-game television and launch GTA III or Vice City. The hosts compare the concept to a video-game version of Inception. https://www.tomshardware.com/video-games/pc-gaming/gta-3-and-vice-city-are-now-playable-inside-san-andreas-a-mod-lets-you-revisit-liberty-city-and-vice-city-without-leaving-san-andreas GameStop's CEO Responds to the Decline of Physical Games GameStop CEO Ryan Cohen argues that Sony reducing physical-disc support will not significantly hurt the company because new video-game sales represent a relatively small portion of its business. The discussion includes GameStop's continued interest in eBay and the changing economics of physical game retail. https://www.ign.com/articles/gamestop-ceo-ryan-cohen-insists-sony-killing-physical-discs-doesnt-matter-at-all-because-video-game-sales-make-up-so-little-of-his-business PlayStation 5 Emulation Progress Developers are making progress booting PlayStation 5 titles through multiple emulation projects. Two-dimensional games are advancing more quickly, while fully rendering complex three-dimensional games remains a significant challenge. The story sparks a broader conversation about game preservation, physical ownership, digital licensing, and consumer distrust. https://www.tomshardware.com/video-games/playstation/ps5-emulation-ramps-up-in-wake-of-sonys-end-to-physical-media-ps5-titles-now-booting-across-different-emulators-with-rapid-community-development-for-both-2d-and-3d-games AI, Creative Work and Data Centers The hosts discuss the growing use of AI-assisted tools in image editing, video production, business documents, email, captions, background extension, and design mockups. Sorg explains how AI can help reformat posters for different social-media dimensions without replacing the original creative work. The discussion distinguishes generative AI from other machine-learning tools, such as automated transcription, rotoscoping, search, and image organization. Dave raises concerns about social-media challenges potentially being used to gather free voice-training data. The group discusses how Google, Adobe, Canva, and other platforms increasingly build AI functions directly into existing software. The hosts argue that professionals cannot simply ignore the technology, but they should evaluate where it is appropriate and disclose its use when needed. The discussion also addresses the electrical demands of new data centers, corporate incentives, local government decisions, environmental protections, grid capacity, and the disproportionate placement of industrial infrastructure near lower-income communities. Their central argument is that rapid technological growth must be accompanied by accountability, regulation, public representation, and responsible development. NASA Psyche Mars Flyby NASA's Psyche spacecraft used a Mars flyby as a gravitational assist while traveling deeper into the solar system. The mission captured detailed images and a time-lapse view of Mars during the maneuver. Dave highlights the value of scientific exploration driven by curiosity and the desire to understand more about the universe. https://science.nasa.gov/blogs/psyche/2026/07/17/nasas-psyche-mission-delivers-mars-flyby-data-time-lapse-video/ Pittsburgh Bridges on Film and Pastfinders Sorg highlights a collaboration between Pastfinders and the Pittsburgh Film Office focused on Pittsburgh bridges featured in movies and television. Examples discussed include locations connected to Mayor of Kingstown, Sweet Girl, Jack Reacher, The Perks of Being a Wallflower, The Dark Knight Rises, Dogma, The Silence of the Lambs, and Mindhunter. The hosts discuss how the Pastfinders app sends location-based notifications about historical sites, movie locations, landmarks, and unusual local stories. Pastfinders: https://www.pastfinders.app/ Pittsburgh Film Office bridge-tour post: https://www.facebook.com/photo/?fbid=1458603939638716&set=pcb.1458603999638710 The Light Flip Minimalist Phone The hosts examine a modern minimalist flip phone inspired by classic designs. It uses physical buttons, T9-style typing, a small screen, and a dedicated operating system rather than standard Android. The group discusses the appeal for people who want calls, messages, navigation, and limited apps without carrying a high-powered smartphone. They also consider whether younger users might adopt simpler phones to reduce social-media use and screen time. https://9to5google.com/2026/07/21/light-flip-minimalist-phone-announcement/ OpenMote: Repurposing the Nintendo Wii Remote Sorg introduces OpenMote, a drop-in development board that turns a Nintendo Wii Remote into a customizable controller. Demonstrations include pointing the remote at lamps to control them. The hosts brainstorm uses for smart-home controls, games, production equipment, lighting effects, custom 3D-printed controllers, and event technology. OpenMote: https://openmote.io/?utm_source=ig&utm_medium=social&utm_content=link_in_bio Instagram demonstration: https://www.instagram.com/reels/Da8p5B7PNKP/ OpenMote Instagram: https://www.instagram.com/openmote.io/ Google Photos Restores Classic Search Google Photos is adding an option that lets users choose between the newer Gemini-powered Ask Photos experience and a more traditional search interface. The hosts discuss why some users prefer entering straightforward terms rather than asking an AI-generated question. The change becomes an example of why providing a choice can reduce frustration when companies add AI to familiar products. https://9to5google.com/2026/07/20/google-photos-classic-search-toggle/ Also Discussed The return of CDs, vinyl records, cassettes, retro games, and physical media. The difference between owning digital media and licensing access to it. Consumer distrust of large technology companies. The space required to store large physical-media collections. Using Gemini to interpret business acronyms and generate a first draft of a statement of work. Severe-weather alerts and Katie briefly leaving the podcast during a tornado warning. Dave's upcoming races, including the Two-Face Race and Trick or Trot 5K. The next AwesomeCast interview with Spotter Global and its technology for detecting drones and identifying operators. Support the show at: https://www.patreon.com/awesomecast Discover more from the Sorgatron Media Podcast Network: https://sorgatronmedia.com

This week on Catalyst, Tammy is joined by Beth Howen, President of State, Local Government and Education (SLED) at NTT DATA, who helps government agencies and school systems modernize the technology touching everyday life. Beth traces her path from becoming a state CIO in Indiana at 28 through leadership roles at Capgemini, TELUS International, Atos, and the City of Indianapolis. So how did she do so much at such a young age? Beth credits it to a willingness to work outside rigid processes when they don't serve the outcome. She and Tammy dig into how AI risks compounding government's legacy-system problems if agencies automate broken workflows instead of modernizing first, and the promise of AI-powered care reaching rural and underserved communities.Please note that the views expressed may not necessarily be those of NTT DATALinks: Beth Howen Learn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This episode was brought to you by Mouser, our go-to source for electronics parts for any hobby or prototype. Click HERE to discover how modern engineering has revolutionized the construction and durability of wearable tech. Become a founding reader of our newsletter: http://read.thenextbyte.com/ As always, you can find these and other interesting & impactful engineering articles on Wevolver.com.

As AI applications become more complex, the infrastructure powering them needs to evolve. Corey Sanders, SVP of Product at CoreWeave, joins Chris to discuss why AI requires a fundamentally different approach than traditional cloud computing. They explore AI-native infrastructure, training and inference workloads, the rise of agentic development, optimizing GPU performance, AI research workflows, and why the future of software will be built around AI-first experiences rather than websites and apps.Featuring:Corey Sanders – LinkedIn Chris Benson – Website, LinkedIn, Bluesky, GitHub, XLinks:CoreWeaveSponsors:Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026

"I always remember feeling like I was part of the clean plate club," says Dr. Christle Guevarra, recalling a childhood spent quietly convinced that her weight was a matter of willpower. That belief followed her through a competitive powerlifting career and medical practice until she finally tried a GLP-1 medication herself and, as she describes it, the constant mental noise around food quieted down. Now a board-certified family and sports medicine physician, traveling team doctor for U.S. Figure Skating, and author of The Beginner's Guide to GLP-1s, Dr. Guevarra brings a rare combination of clinical authority and lived experience to the conversation around obesity medicine.  In this episode of Raise the Line from Elsevier, host Lindsey Smith talks with her about what's actually changed in how physicians understand the issue and what it means for patients. "The biggest thing is reframing how we approach weight loss. It's not just a willpower problem, it is a neurobiological problem." Tune in to learn about: Why she said no to a GLP-1 prescription for two years and what finally changed her mind; The real story behind concerns about muscle loss on these medications; What happens when the “food noise" goes silent and a new set of challenges takes its place.   Mentioned in this episode:  Dr. Christle's website If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/podcast

Is AI Already Biased? Who's Really Programming Your Future? | The Karel Cast Yesterday Is AI Already Biased? Who's Really Programming Your Future? | The Karel Cast Can artificial intelligence ever be truly neutral, or is it already reflecting the beliefs, priorities, and agendas of the people and governments building it? AI is growing at an astonishing pace, but someone is teaching it how to think. Tech companies, programmers, regulators, and now governments are all helping shape the future of artificial intelligence. As AI becomes more deeply connected to politics, business, and society, one question becomes impossible to ignore: Can we trust AI to be objective? Today, Karel explores how AI is trained, why bias may be unavoidable, and whether artificial intelligence is becoming the world's most powerful influence—or simply another reflection of human flaws. Also on today's show:

This week on Catalyst, Tammy is joined by Emma Boyd, a recent Chapman University graduate stepping into her first job as a practice analyst at a San Francisco law firm just as her generation navigates entering the workforce in the age of AI. Emma and Tammy discuss how she's learning to use AI as a tool for condensing and outlining her work, without letting it take over the writing and critical thinking she loves. They also dig into her capstone project at Fabletics, where she researched the legal and ethical questions around AI-generated models in fashion marketing, uncovering a constant cycle of new technology outpacing legal standards almost as soon as they catch up. Emma also has some advice for senior leaders: don't underestimate Gen Z, who are more gritty and driven than older generations often assume.Please note that the views expressed may not necessarily be those of NTT DATALinks: Emma Boyd - LinkedInLearn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Not all work happens in writing. Teams that work with photos, videos, and audio need AI that works for them too. This is why, with Dropbox, you can search within multimedia content for key moments and important information—not just text. In this episode, we talk with Appu Shaji and Hicham Badri, two Dropbox machine learning engineers who are part of the team that makes all of this possible. They explain how multimodal search works—from understanding the context of the initial query, to identifying objects and actions in complex scenes—and how they ensure those models work fast, even at Dropbox-scale. ~ ~ ~  Working Smarter is brought to you by Dropbox. Find, organize, and share your work—all in one place—with context-aware AI from Dropbox. You can listen to more episodes of Working Smarter on Apple Podcasts, Spotify, YouTube, Amazon Music, or wherever you get your podcasts. To read more stories and past interviews, visit workingsmarter.ai This show would not be possible without the talented team at Cosmic Standard: producer Ben Montoya, sound engineer Aja Simpson, technical director Jacob Winik, and executive producer Eliza Smith. Special thanks to our illustrator Fanny Luor, marketing consultant Meggan Ellingboe, and editorial support from Catie Keck.  Our theme song was composed by Doug Stuart.  Working Smarter is hosted by Matthew Braga. Thanks for listening!