Podcasts about Tableau

Most companies are not short on data. They are short on the time, cost, and coordination required to turn it into action.Ethan Ding, co founder and CEO of TextQL, joins The Tech Trek to explain how AI agents are changing enterprise analytics. The conversation moves beyond faster dashboards into a larger shift, analysts managing fleets of agents, business teams asking far more questions, and companies finding revenue and cost opportunities that were previously too expensive to pursue.What Technical Teams Can Take From This• Making answers cheaper does not reduce analytics work. It increases the number of questions people ask.• Analysts may spend less time assembling dashboards and more time managing agents, data sources, permissions, quality, and costs.• The clearest ROI comes from decisions with direct financial outcomes, including fraud prevention, upsell opportunities, churn risk, and unused vendor spend.• Faster analysis matters most when teams can act on valuable opportunities they previously could not afford to investigate.• Token costs will force AI companies and buyers to reconsider where software budgets go, especially across BI tools and data platforms.Moments Worth Hearing00:00 Ethan explains how TextQL agents work across messy enterprise systems including Cognos, Teradata, Snowflake, Databricks, Tableau, and Power BI.04:52 Why giving people faster answers does not create free time. It creates even more demand for analytics07:10 How self service analytics quickly moves from asking what a number is to asking whether it matters and what to do next.10:08 The analyst role shifts toward managing fleets of agents and tuning an insight factory for the business.14:38 Why faster access to data can reveal valuable opportunities that were previously too expensive to investigate.19:55 A practical way to measure analytics ROI through fraud prevention, upsell opportunities, and other direct financial outcomes.24:18 How token costs, AI margins, and easier migrations could reshape spending on traditional BI tools.One Line That Stuck“It becomes much more of an operations manager job. It is a factory. It takes in tokens and churns out dashboards, reports, and recommendations.”Follow The Tech Trek on your podcast platform, subscribe for future episodes, and share this conversation with someone rethinking how their team works with data.

durée : 02:21:08 - Les Nuits de France Culture - par : Albane Penaranda - En 1980, l'écrivain Jean-Louis Schefer proposait une exploration du tableau "Le mariage mystique de Sainte Catherine" peint par le Corrège en 1526. Il analysait les rapports entre le visible et l'invisible et la manière dont les tableaux résonnent dans notre mémoire. - équipe : Mathias Le Gargasson, Antoine Dhulster, Rafik Zénine, Vincent Abouchar, Emily Vallat, Hassane M'Béchour, INA Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France

L'œuvre d'art est un moyen évident de faire passer un message, qu'il soit sociétal, politique voire religieux. Les formes pour le porter sont très différentes. Par exemple, la provocation utilisée par l'artiste. Ou encore, tenter de battre un record. Comme l'a fait le portraitiste américain Roger William Curtis en peignant le tableau le plus petit du monde. Au début des années 60, Roger William Curtis se lance dans la peinture avec ce projet fou de réaliser le plus petit tableau du monde. Il va donc proposer une œuvre intitulée « la face du Christ peinte dans un chas d'aiguille », qui a la dimension étonnante de 6 dixièmes de millimètre carrée. Comme son nom l'indique, il s'agit d'un portrait représentant le Christ, mais l'allusion au chas, c'est-à-dire au trou minuscule d'une aiguille, n'est évidemment pas anodine. Que représente le tableau de Roger William Curtis ? Comment ce tableau miniature s'intègre-t-il dans l'œuvre du peintre ? Écoutez la suite dans cet épisode de "Maintenant vous savez - Culture". Un podcast Bababam Originals. Écrit et réalisé par Thomas Deseur. Première diffusion : décembre 2022 A écouter aussi : ⁠Comment la saga The Witcher a-t-elle marqué la fantasy ?⁠ ⁠Pourquoi le Sphinx de Gizeh a-t-il le nez cassé ?⁠ ⁠Quels sont les 3 meilleurs films à regarder à Noël ? Retrouvez tous les épisodes de "Maintenant vous savez". Suivez Bababam sur Instagram. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Volley Pod Tod and Davis delve into how to provide high support for your athletes. They also discuss how leaning into the challenges of the season can benefit coaches and families. And they discuss the benefits of Tableau, a dashboard creator.Support The Volley Pod by engaging with us on Patreon:⁠⁠⁠⁠https://www.patreon.com/cw/thevolleypod⁠⁠⁠⁠The Art of Coaching Volleyball Videos of the Week https://www.theartofcoachingvolleyball.com/the-impact-of-positivity-on-team-culture-through-question-based-learning/ Keith Lundgrenhttps://www.theartofcoachingvolleyball.com/karch-kiraly-on-culture/ Karch Kiralyhttps://www.theartofcoachingvolleyball.com/creighton-team-culture/ Kirsten Bernthal BoothResource of the Weekhttps://www.tableau.com/products/tableau - Tableau is a flexible agentic analytics environment, that allows users to explore, model, and visualize data anytime anywhere — even offline. Check out our host Tod Mattox's books! Available on Amazon! Get them in your parents' hands!The Volleyball Journey: A Handy Guide Book for Players and Parents by Tod Mattox⁠⁠⁠⁠The Volleyball Journey⁠⁠⁠⁠&The Volley Coach's Book of Lists by Tod Mattox⁠⁠⁠⁠VB Coach's Book of Lists⁠⁠⁠⁠  Find The Art of Coaching Volleyball at:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠www.theartofcoachingvolleyball.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ The Art of Coaching Volleyball is a comprehensive resource designed to help coaches of all levels to improve their skills, teaching methods, and enhance their knowledge of volleyball. It offers a mix of instructional support, tools, and resources to support coaches in developing athletes and running effective practices.Check out Hudl at⁠⁠⁠ ⁠Hudl.com⁠⁠⁠⁠Hudl empowers volleyball coaches to teach more effectively by providing clear, visual feedback. Through organized video clips and tagging, coaches can highlight successful execution, reinforce team systems, and guide player development in a constructive, efficient way that enhances communication and accountability.Check out The Volley Pod on Instagram at⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠https://www.instagram.com/aoc.thevolleypod/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email us at ⁠⁠⁠thevolleypod@gmail.com

What does it actually take to build an executive team from nothing? This week on The Data Minute, Ashley Neville fills in for Peter and sits down with Francois Ajenstat, Founder and CEO of Golden Analytics, to talk hiring at the earliest stages of a company, from seed through Series B.Francois spent over a decade as Chief Product Officer at Tableau before leading product at Amplitude, and recently launched Golden Analytics, an AI-native BI platform that just closed $21 million in total seed funding. He walks through why he sees fundraising as less about the check and more about finding long-term partners, why he never set out to build a foundational model, and why he thinks the fear around AI replacing data analysts has it backwards. He also breaks down his approach to those first few hires: starting with people he trusts completely, using Carta's own compensation data to build trust with candidates during offer negotiations, and the three-part test he runs on every new hire around AI fluency, taste, and ownership of outcomes.The conversation also covers Golden's unconventional customer feedback loop, the surprising order in which startups actually hire across functions, and Francois's long-running framework for job satisfaction: the work, the people, and the recognition.Subscribe to Carta's weekly Data Minute newsletter: https://carta.com/subscribe/data-newsletter-sign-up/Explore interactive startup and VC data, with Carta's Data Desk: https://carta.com/data-desk/Chapters: 01:17 – Announcing the $21M Seed: Fundraising Is About Partners, Not Just Capital 02:57 – Pitching Golden Analytics: Zig When Everyone Else Zags 06:06 – Why Golden Isn't Building Its Own Foundational Model 07:48 – The Privacy Question: Why Golden Never Sends Customer Data to the Models 09:17 – Will AI Replace the Data Analyst? (No, It Makes Them 10x) 10:57 – From CPO to "Solo" Founder: Why the Label Never Fit 13:14 – Hiring Employee One: The Former Tableau CTO 15:17 – Using Carta's Comp Data to Build Trust with Candidates 17:42 – Thinking About the ESOP from Day One 19:08 – The New Hiring Bar: AI Fluency, Taste, and Ownership 21:44 – Inside a Seven-Person Company Outshipping the Competition 22:46 – No Wall Between Customers and Engineers 24:33 – Making Customers Feel Like Founders 27:03 – An Unboxing: The Golden Analytics Coin 28:06 – The First Experience: What Happens When You Open Golden 29:33 – Surprising Data: Founders Hire Before They Raise 30:52 – The Order of Hires: Why CFOs Come Before Revenue 32:18 – Fractional vs. Full-Time: "Does This Make the Beer Taste Better?" 34:22 – What's Next to Hire: Engineers Ahead, Sales Behind 36:11 – Why Golden Skips the Middle: Senior Talent Paired With Junior Hunger 38:25 – Education, Fear, and Learning by Doing 41:15 – Building Carta's Own Report With AI, Faster 43:06 – Every Company Is a Data Company 44:27 – The Customer Data Francois Obsesses Over Daily 47:28 – Is SaaS Dead? Why the "Apocalypse" Headlines Miss the Point 49:21 – The Three-Factor Test for Job Satisfaction 51:47 – Redefining Appreciation: Experiences Over Titles 54:47 – What's Next for Golden Analytics 56:30 – OutroThis presentation contains general information only and eShares, Inc. dba Carta, Inc. (“Carta”) is not, by means of this publication, rendering accounting, business, financial, investment, legal, tax, or other professional advice or services, and is for informational purposes only.  This presentation is not a substitute for such professional advice or services nor should it be used as a basis for any decision or action that may affect your business or interests. © 2026 eShares, Inc., dba Carta, Inc. All rights reserved. In the interest of transparency, Golden Analytics is a customer of eShares, Inc. dba Carta, Inc. ("Carta").  While we have invited them here today to discuss their journey, please note that this is not an endorsement, solicitation, or recommendation for Golden Analytics or Carta. Carta does not assume any liability for reliance on the information provided during this podcast.

L'actualité sportive des derniers jours - La fin des huitièmes de finale de la Coupe du monde 2026, marquée par un duel épique entre l'Argentine et l'Égypte. La Suisse et le Maroc décrochent, pour la première fois de leur histoire, une place en quarts de finale, tandis que l'Allemagne et le Brésil brillent par leur absence à ce stade de la compétition, une première depuis des décennies. À Wimbledon, Novak Djokovic poursuit sa quête d'un 25ᵉ titre du Grand Chelem. Enfin, sur les routes du Tour de France, la cinquième étape a offert le premier sprint massif de cette édition.Pour plus d'histoires, d'interviews et d'actualités de SBS French, explorez notre collection de podcasts ici >>SKIP ADVERTISEMENTAdvertisementhttps://www.sbs.com.au/language/french/fr/collection/featured-podcasts

Ce jeudi 9 juillet, Antoine Larigaudrie présente le tableau de bord dans l'émission Tout pour investir sur BFM Business. Retrouvez l'émission du lundi au vendredi et réécoutez la en podcast.

Zach and Blake had an informal conversation about data visualization, community engagement, and AI's impact on creative work. Blake shared his journey into the Tableau community through Makeover Monday, where he was inspired by Matt Huff and Andy Kriebel, and eventually became a co-leader of the community project. They discussed the importance of finding authentic ways to engage with the community, with Blake launching live streams of his Makeover Monday work on Fridays to be more transparent about his process. The conversation also covered the limitations of AI-generated content, with both agreeing that authentic human creativity becomes more valuable when content is easily replicable by machines.

Ce mercredi 8 juillet, Antoine Larigaudrie présente le tableau de bord dans l'émission Tout pour investir sur BFM Business. Retrouvez l'émission du lundi au vendredi et réécoutez la en podcast.

Ce mardi 7 juillet, Antoine Larigaudrie présente le tableau de bord dans l'émission Tout pour investir sur BFM Business. Retrouvez l'émission du lundi au vendredi et réécoutez la en podcast.

Aujourd'hui, Joëlle Dago-Serry, coach de vie, Charles Consigny, avocat, et Didier Giraud, éleveur de bovins, débattent de l'actualité autour d'Alain Marschall et Olivier Truchot.

Ce lundi 6 juillet, Antoine Larigaudrie présente le tableau de bord dans l'émission Tout pour investir sur BFM Business. Retrouvez l'émission du lundi au vendredi et réécoutez la en podcast.

Ce jeudi 2 juillet, Antoine Larigaudrie présente le tableau de bord dans l'émission Tout pour investir sur BFM Business. Retrouvez l'émission du lundi au vendredi et réécoutez la en podcast.

durée : 00:04:22 - Le Polar sonne toujours 2 fois - par : Michel Abescat - Le roman raconte l'enquête menée par le journaliste du New Yorker, Patrick Radden Keefe, une histoire vraie, sur la mort, à Londres, d'un jeune homme de 19 ans. Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France

Ce mercredi 1er juillet, Antoine Larigaudrie présente le tableau de bord dans l'émission Tout pour investir sur BFM Business. Retrouvez l'émission du lundi au vendredi et réécoutez la en podcast.

Ce mardi 30 juin, Antoine Larigaudrie présente le tableau de bord dans l'émission Tout pour investir sur BFM Business. Retrouvez l'émission du lundi au vendredi et réécoutez la en podcast.

Ce lundi 29 juin, Antoine Larigaudrie présente le tableau de bord dans l'émission Tout pour investir sur BFM Business. Retrouvez l'émission du lundi au vendredi et réécoutez la en podcast.

Dans cette vidéo, nous revenons sur le tirage au sort de Wimbledon 2026. Alors qui va gagner ? #Sinner #Wimbledon #Djokovic

Heute sprechen wir über ein starkes Equador, Nagelsmann Strategien und den Achtelfinalgegner Paraguay. Wir sprechen über Österreichs Lucky Punch, Irans Drama und das Tableau der Gruppendritten. Und wir tippen den kompletten Turnierbaum, sehen das Traum-Halbfinale Brasilien gegen Argentinien und ein frühes Aus der Niederlande.

She Moved to the US with $800, Changed Her Name to Fit In, and Built a Career at Merck, Oracle, Tableau, and Amazon. Helen on Going From Terrified to Outspoken Her legal name is Hongyi, which means "the water is deep and wide." When she moved to the United States from China, she changed it to Helen so people could pronounce it more easily. She arrived with $800. She was terrified. At grad school, she barely had to speak. Then she entered the workforce. Her first significant feedback at Merck: "You need to improve your communication." She was too intimidated to ask what that meant. So she made assumptions, started listening to radio broadcasts during her long New Jersey to Pennsylvania commute, and repeated every word she heard, even when she didn't know what some of them meant. She also completely changed how she structured her thinking: lead with the statement, give details only if someone asks. Helen is now Head of Data Analytics Partner GTM at Amazon Web Services. She has built her career across Merck, Oracle, Tableau, and AWS, switching domains multiple times from chemist to engineer to customer management to partner sales. In this episode, she breaks down exactly how she got here. You'll learn: Why she was too scared to ask her first senior leader what "improve your communication" actually meant, what assumptions she made instead, and how that experience shaped the way she now gives and asks for feedback. The Oracle account management idea she developed during the 2008 financial crisis, why she had no idea who to pitch it to, and what happened when she decided to pitch it to everyone who would listen: "I talked to anyone and anyone. And it worked." How that pitching-to-everyone strategy led her to the sponsor who first backed her idea, then backed her career, and why she believes sponsors select you rather than the other way around. The three factors she attributes to attracting a sponsor: visibility (being seen under pressure), adding value to the sponsor specifically, and consistency doing simple things reliably rather than many things sporadically. The senior Oracle executive who told her "everything can be simplified into three bullet points" and why that one insight transformed how she communicated with leadership for the rest of her career. What it actually looked like behind the "fast career" others saw from outside: 15-hour days, PowerPoint decks rebuilt at 4am and still not good enough, and switching domains so many times she felt perpetually behind. Why she credits letting other people shine and giving credit generously as one of the most underrated career moves she made, and how she discovered it mattered more than she expected. Her three closing principles: know your superpower, find your passion, and pay it forward because we have all been helped up the ladder at some point. About Helen: Head of Data Analytics Partner GTM at Amazon Web Services, Helen has built her career across Merck, Oracle, Tableau, and AWS, moving from chemistry to computer engineering to enterprise sales to partner leadership. An immigrant who arrived in the US with $800, she now mentors and sponsors others on the same journey.

Les matches de la troisième journée de la phase de poules de la Coupe du monde 2026 ont délivré les premières affiches pour les 16es de finale et certaines s'annoncent relevées comme celle entre le Brésil et le Japon ou encore celle entre le Maroc et les Pays-Bas. Surtout, le parcours jusqu'à la finale pour les nations favorites se révèle semé d'embûches... sauf pour l'Argentine, championne du monde en titre. Dans ce nouvel épisode d'On refait le match, la quotidienne, Éric Silvestro, Jano Rességuié et Raphaël Vantard analysent le tableau final de ce Mondial 2026. Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Ce jeudi 25 juin, Antoine Larigaudrie présente le tableau de bord dans l'émission Tout pour investir sur BFM Business. Retrouvez l'émission du lundi au vendredi et réécoutez la en podcast.

Ce mercredi 24 juin, Antoine Larigaudrie présente le tableau de bord dans l'émission Tout pour investir sur BFM Business. Retrouvez l'émission du lundi au vendredi et réécoutez la en podcast.

Ce mardi 23 juin, Antoine Larigaudrie présente le tableau de bord dans l'émission Tout pour investir sur BFM Business. Retrouvez l'émission du lundi au vendredi et réécoutez la en podcast.

Ce lundi 22 juin, Antoine Larigaudrie présente le tableau de bord dans l'émission Tout pour investir sur BFM Business. Retrouvez l'émission du lundi au vendredi et réécoutez la en podcast.

Ce jeudi 18 juin, Antoine Larigaudrie présente le tableau de bord dans l'émission Tout pour investir sur BFM Business. Retrouvez l'émission du lundi au vendredi et réécoutez la en podcast.

Ce mercredi 17 juin, Antoine Larigaudrie présente le tableau de bord dans l'émission Tout pour investir sur BFM Business. Retrouvez l'émission du lundi au vendredi et réécoutez la en podcast.

Ce mardi 16 juin, Antoine Larigaudrie présente le tableau de bord dans l'émission Tout pour investir sur BFM Business. Retrouvez l'émission du lundi au vendredi et réécoutez la en podcast.

Ce lundi 15 juin, Erwan Morice présente le tableau de bord dans l'émission Tout pour investir sur BFM Business. Retrouvez l'émission du lundi au vendredi et réécoutez la en podcast.

Most AI failures won't come from a bad model. They'll come from bad data.Shashank Saxena spent most of his career on the buying side of enterprise technology before founding VNDLY which was acquired by Workday for $510 million. He then joined Sierra as a Managing Partner before going full time as Co-founder and CEO of Pantomath, a data operations center for enterprises that are betting their future on AI agents.We discuss why data quality is becoming one of the biggest challenges in enterprise AI. An AI agent fed bad data for 12 hours doesn't go rogue. It just makes 12 hours of wrong decisions: rejecting insurance claims, issuing credit cards, or drilling in the wrong location. As more business decisions are delegated to AI systems, companies will need far greater visibility into what is happening across their data infrastructure.Shashank also shares the decisions that led to VNDLY's acquisition, the advice he'd give founders evaluating acquisition offers today, and why a Michael Jordan analogy continues to motivate him as a second-time founder.If you're building enterprise software, selling to large companies, or trying to figure out whether experience is an asset or a liability in the AI era, this episode is for you.0:00 - Trailer01:00 - How Shashank became a second-time founder07:20 - Where Pantomath sits in the data stack10:55 - How a broken Tableau report turns mission-critical with AI12:55 - Who Pantomath sells to15:35 - Solving for a problem that doesn't exist yet19:03 - How have founder expectations changed today?20:31 - Series B companies pre- and post-AI21:26 - The Michael Jordan example23:57 - How a repeat founder chooses investors25:10 - What value Snowflake adds as a strategic investor27:05 - Data is not an open category today28:34 - The astounding Databricks outcome29:08 - The reality of the $100 million ARR number31:48 - Will non-human workers 100x in the next few years?36:00 - How to protect data in motion37:26 - How comfortable are we giving full access to agents?39:47 - Where is automation fastest today?42:09 - Why entrepreneurs tend to like uncertainty43:28 - Why Shashank chose to be a founder45:48 - A customer-driven $510M acquisition48:32 - Employees vs contractors in any organization51:22 - Building from Ohio vs the Bay Area53:14 - Learnings from selling to enterprises56:31 - How Shashank raised from Tier 1 US VCs59:19 - Heads down or network as a founder?1:02:47 - First-time vs second-time founder edge in AI1:06:22 - Hiring as a repeat founder1:08:08 - How enterprise sales has changed1:10:52 - How do you sell for a problem that isn't visible today?1:12:58 - Best piece of advice1:16:27 - The only advice for a founder considering M&A1:21:06 - Position yourself to be capable of taking risks1:24:51 - What matters to an enterprise buyer?-------------India's talent has built the world's tech—now it's time to lead it.This mission goes beyond startups. It's about shifting the center of gravity in global tech to include the brilliance rising from India.What is Neon Fund?We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that's done it before.Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we're doing it all at Neon.-------------Check us out on:Website: https://neon.fund/Instagram: https://www.instagram.com/theneonshoww/LinkedIn: https://www.linkedin.com/company/beneon/Twitter: https://x.com/TheNeonShowwConnect with Siddhartha on:LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/Twitter: https://x.com/siddharthaa7-------------This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.Send us Fan Mail

Ce jeudi 11 juin, Antoine Larigaudrie présente le tableau de bord dans l'émission Tout pour investir sur BFM Business. Retrouvez l'émission du lundi au vendredi et réécoutez la en podcast.

Ce mercredi 10 juin, Antoine Larigaudrie présente le tableau de bord dans l'émission Tout pour investir sur BFM Business. Retrouvez l'émission du lundi au vendredi et réécoutez la en podcast.

AI can now write code faster than any human alive, and most of the time it's more than good enough. That's the magic powering the entire vibe coding wave. But there's a category of software where "most of the time" just doesn't cut it: the code running a fighter jet, a power grid, an autonomous vehicle, a piece of medical hardware. When that code is wrong, the consequences aren't a bug. They're a recall, an accident, a national security incident.In this episode of Talking AI, Matt Paige sits down with Ryan Aytay, the former CEO of Tableau and now President and COO of CodeMetal, which just raised $125 million to close that gap. Ryan explains what he calls "the last mile" for mission-critical industries: the verification, validation, and provability layer that sits between AI-generated code and the systems where failure is catastrophic.The conversation covers why 99% correct is still failure in defense and autonomous systems, how CodeMetal translated a million lines of legacy C++ to Rust in weeks (like rewiring a city without the power going out), and why the real problem isn't code generation, it's behavioral assurance at scale. Ryan also shares how he's using AI to run a sub-100-person startup, why the biggest risk for any company right now is doing nothing, and what an operator who lived through 19 years of per-seat SaaS at Salesforce thinks about outcomes-based pricing in the age of AI.In this episode, you'll hear about:Why every AI coding tool says "almost, but not quite" when asked about production-ready guarantees. The difference between code generation and behavioral assurance at scale. How CodeMetal translates legacy C++ to Rust with provable correctness in weeks, not years. The concept of V&V (verification and validation) and why it's the missing layer in AI code gen. Real use cases in defense, autonomous vehicles, and simulation environments. Why hardware in the loop matters as much as human in the loop. How a sub-100-person company uses AI across M&A, recruiting, marketing, and operations. Ryan's take on token economics, outcomes-based pricing, and the SaaS evolution. Why the biggest risk is inaction, not AI errors. What attracted Ryan to CodeMetal after 19 years at Salesforce and leading Tableau.Key Moments02:47 — From Tableau fanboy to the trust gap in AI03:52 — Why Ryan left Salesforce/Tableau for CodeMetal05:55 — "Is it safe for the things I depend on every day?"06:45 — 99% correct is still failure for mission-critical systems08:20 — The sycophantic nature of AI: "Heck yeah, I can do that"09:22 — It's not a coding problem, it's a behavioral problem at scale11:22 — Human in the loop isn't enough: hardware in the loop14:30 — What is fuzzing? Formal methods explained in plain English16:02 — How a sub-100-person company leverages AI across every function18:19 — The Shopify mandate: using AI reflexively21:33 — Rewiring the city without the power going out: the million-line translation24:38 — Defense use cases: drones, autonomous vehicles, and simulation26:28 — "Prove is even a stronger word than guarantee"28:32 — Accountability and the coming wave of AI insurance32:54 — Token usage, the Uber CTO's blown budget, and outcomes-based pricing36:26 — SaaS isn't dead, it's evolving: Ryan's Salesforce/Tableau perspective40:08 — The biggest risk is doing nothing42:07 — Where to find CodeMetal (and they're hiring)Key LinksCodeMetalConnect with Ryan on LinkedInMentioned in this episode:AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you'll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.

Ce mardi 9 juin, Antoine Larigaudrie présente le tableau de bord dans l'émission Tout pour investir sur BFM Business. Retrouvez l'émission du lundi au vendredi et réécoutez la en podcast.

En 2023, lors d'une vente aux enchères organisée au château d'Artigny en Touraine, un petit tableau familial estimé à 80 000 euros atteint le prix record de 1,25 million d'euros. L'œuvre intrigue immédiatement : elle représente un étrange enfant couvert de poils, vêtu comme un noble du XVIe siècle. Derrière ce portrait se cache l'histoire bouleversante de Petrus Gonsalvus, un enfant originaire des Canaries atteint d'hypertrichose, une maladie génétique rare provoquant une pilosité extrême. Offert enfant au roi Henri II de France, Petrus devient une curiosité de cour avant d'être protégé et éduqué parmi les nobles. Son destin extraordinaire, son mariage avec une jeune femme de la cour et l'histoire de leur famille auraient inspiré le célèbre conte de La Belle et la Bête. Peint par la célèbre artiste italienne Lavinia Fontana, le tableau raconte bien plus qu'un mystère artistique : il témoigne du regard porté sur la différence, entre fascination, cruauté et humanité. Une enquête captivante entre art, histoire et légende. Merci pour votre écoute Vous aimez l'Heure H, mais connaissez-vous La Mini Heure H https://audmns.com/YagLLiK , une version pour toute la famille.Retrouvez l'ensemble des épisodes de l'Heure H sur notre plateforme Auvio.be :https://auvio.rtbf.be/emission/22750 Intéressés par l'histoire ? Vous pourriez également aimer nos autres podcasts : Un jour dans l'Histoire : https://audmns.com/gXJWXoQL'Histoire Continue: https://audmns.com/kSbpELwAinsi que nos séries historiques :Chili, le Pays de mes Histoires : https://audmns.com/XHbnevhD-Day : https://audmns.com/JWRdPYIJoséphine Baker : https://audmns.com/wCfhoEwLa folle histoire de l'aviation : https://audmns.com/xAWjyWCLes Jeux Olympiques, l'étonnant miroir de notre Histoire : https://audmns.com/ZEIihzZMarguerite, la Voix d'une Résistante : https://audmns.com/zFDehnENapoléon, le crépuscule de l'Aigle : https://audmns.com/DcdnIUnUn Jour dans le Sport : https://audmns.com/xXlkHMHSous le sable des Pyramides : https://audmns.com/rXfVppvVous aimez les histoires racontées par Jean-Louis Lahaye ? Connaissez-vous ces podcast?Sous le sable des Pyramides : https://audmns.com/rXfVppv36 Quai des orfèvres : https://audmns.com/eUxNxyFHistoire Criminelle, les enquêtes de Scotland Yard : https://audmns.com/ZuEwXVOUn Crime, une Histoire https://audmns.com/NIhhXpYN'oubliez pas de vous y abonner pour ne rien manquer.Et si vous avez apprécié ce podcast, n'hésitez pas à nous donner des étoiles ou des commentaires, cela nous aide à le faire connaître plus largement. Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Ce lundi 8 juin, Antoine Larigaudrie présente le tableau de bord dans l'émission Tout pour investir sur BFM Business. Retrouvez l'émission du lundi au vendredi et réécoutez la en podcast.

Rick Watson and Jessica Lesesky sit down to unpack a busy stretch across tech, shipping, and commerce. They open with Anthropic's confidential IPO filing, submitted to the SEC on June 1st, and what it signals about the AI lab's trajectory. After a $65 billion Series H that pushed its valuation to $965 billion, Anthropic now sits ahead of OpenAI on that measure, and Rick and Jessica dig into how it got there: a revenue run rate that climbed from roughly $10 billion a year ago to about $47 billion by May 2026, helped by a developer-first bet through Claude Code that has made it a serious contender for enterprise spend.The Watson Weekly Weekend episode is sponsored by Avalara. Its Agentic Tax and Compliance automates behind-the-scenes work for ecommerce brands, enabling accurate checkout tax calculation, clearer tariff and duty visibility, and fewer customer surprises. Avalara integrates with platforms like Shopify, BigCommerce, and WooCommerce. Learn more at avalara.watsonweekly.comFrom there the conversation turns physical. USPS and DHL have signed a multi-year contract valued at well over $10 billion, with DHL handling pickup, sorting, and transport while USPS covers final-mile delivery. It lands at an awkward moment for the Postal Service, which posted a $9.5 billion loss in fiscal 2025 and whose Postmaster General has warned of a possible cash crisis within a year absent action from Congress.The last segment covers Salesforce's push to wake up a commerce cloud that had been growing under 2%. The reported Contentful acquisition (somewhere in the $1 to $1.5 billion range) fits a long pattern that runs through MuleSoft, Tableau, Slack, and PredictSpring. Rick and Jessica close on whether the integrated Agentforce suite can hold up against focused players like Shopify.

Ce jeudi 4 juin, Antoine Larigaudrie présente le tableau de bord dans l'émission Tout pour investir sur BFM Business. Retrouvez l'émission du lundi au vendredi et réécoutez la en podcast.

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! Brandon was bartending when he found this podcast. Two years later he's a data consultant at one of the best Tableau shops in NY.

durée : 00:01:50 - Les 80'' - par : Ali Baddou - Il s'appelle Chicky Diaz. Il est portier dans l'un des immeubles les plus mythiques et luxueux de Manhattan, le Bohemia, en bordure de Central Park. Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France

Court N°1 s'intéresse cette semaine au tirage complet du tableau final de Roland-Garros 2026. Anthony Rech, Eric Salliot et Florent Serra reviennent sur le tirage d'Arthur Fils, dans la partie d'Alexander Zverev, et qui affrontera Stanislas Wawrinka au premier tour. Sans oublier les premières affiches avec Clément Tabur face à Jannik Sinner ou encore Giovanni Mpetshi Perricard qui fera face à Novak Djokovic. C'est parti pour Court N°1.

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! The odds are stacked against you for remote data jobs. I show you how to flip them in your favor.

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! I made a tool that turns your GitHub projects into a real portfolio. Here's what it looks like in action.BUILD YOUR OWN PORTFOLIO: https://dcj.app/mydatafolio-0QqsQr

Gustavo Cardona is VP of Technology at Levain Bakery, where he leads IT infrastructure and data strategy to bridge innovative technology with the operational reality of a craft-focused, omnichannel retail business.  He's responsible for building Levain's enterprise systems, including integrating Toast, NetSuite, and CrunchTime into a unified data platform, migrating the organization to real-time reporting with Tableau, and developing a multi-year technology roadmap. Gustavo's approach focuses on what he calls the "adoption challenge"—ensuring technology actually gets used rather than just implemented.  He's currently leading Levain's Emerging Tech Strategy with a focus on operational efficiency, product innovation, and decision intelligence through responsible AI governance.  In This Conversation We Discuss: [00:00] Intro [02:35] Networking with peers at conferences  [06:10] Sponsor: Klaviyo [08:17] Leveraging past experience in a new role  [11:36] Sponsor: Intelligems [13:36] Cultivating adaptability and resourcefulness [15:54] Identifying bottlenecks in daily operations  [19:29] Sponsor: Electric Eye [20:41] Identifying team pain points on the ground [23:17] Callouts  [23:27] Keeping a human in the loop for AI tools  [27:51] Making your product the hero instead of tech  Resources: Subscribe to Honest Ecommerce on Youtube New York City's Most Famous Cookies levainbakery.com/    Follow Gustavo Cardona linkedin.com/in/cardonagustavo Migrate and grow more klaviyo.com/honest Book a demo today at intelligems.io/ Schedule an intro call with one of our expertselectriceye.io/connect If you're enjoying the show, we'd love it if you left Honest Ecommerce a review on Apple Podcasts. It makes a huge impact on the success of the podcast, and we love reading every one of your reviews!

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! Skills aren't enough to land a data job. Here's what Graham was missing and how we fixed it live.

At the Northwest Event Show, podcast hosts Anca Platon Trifan (Events Demystified) and David T. Stevens (Return on Wellness) discuss AI, cognitive load, and performance in events with Wendy Turner-Williams (AI/data/tech executive with experience at Tableau, Salesforce, and Microsoft) and Lisa Schulteis (Electrify Marketing founder and neuroscience-based event strategist). They argue events are often designed for logistics and run-of-show rather than the brain, leading to fatigue, poor retention, and low post-event action. The panel recommends using data and real-time audience feedback to communicate impact to executives, treating events like marketing campaigns, and recognizing “invisible labor” in event work that AI can't replace. Practical fixes include intentional white space for decompression, memory-building resets (e.g., “Forgetting Curve” journaling), and a “less is more” approach. They warn that fast-moving tools like “digital doubles” and AI agents will accelerate change, requiring human judgment.00:00 Welcome and Setup01:23 Meet the Panel03:18 Why Cognitive Load Matters05:45 Design for the Brain07:02 Executive View and AI08:01 Fixing C Suite Blind Spots10:58 Agenda Fatigue and Focus12:24 Wellness and Retention16:00 Invisible Labor and Feedback18:31 Decompression and Data21:39 Judgment Over Speed23:26 Key Takeaways and Whats Next24:50 Digital Doubles Are Coming26:41 Connect and Closing⁠⁠⁠⁠⁠⁠-------------------------------------------------------------

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! I analyzed 8,554 data analyst salaries. Here's what the market actually looks like right now.

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! Is AI replacing data analysts? Here's my honest answer after testing an actual project.

Dans ce jeu du "Qui Qui Express", la règle est simple : à chaque personnalité retrouvée par les Grosses Têtes, l'auditeur ou l'auditrice remporte 50 euros ! Retrouvez tous les jours le meilleur des Grosses Têtes en podcast sur RTL.fr et l'application RTL.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

What does it take to turn a struggling performance management system into a national standout? Anna Bryant, Performance Manager at the Louisiana Department of Health, shares the story of how her team went from receiving an action plan after initial accreditation in 2019 to earning top recognition during their 2025 reaccreditation.  Using a “telescope and microscope” analogy, Bryant breaks down the essential connection between performance management and quality improvement, showing how big-picture strategy and day-to-day problem solving must work hand in hand. She walks through the nuts and bolts of Louisiana's transformation, from conducting system-wide assessments and tackling staff burnout to leveraging existing tools like Monday.com and Tableau to reduce friction and drive adoption.Creating Meaning from Measures: A PDSA Approach to Performance ManagementPublic Health Infrastructure Grant: Resources & Impact - PHIGASTHO Leadership Institute | ASTHO