Podcasts about ai21

NOVOS CURSOS DA ARENA - Claude Code e Cursor! Assine a Arena com R$100 OFFNo episódio Ao Vivo no Palco do Web Summit Rio 2026, nosso host Arthur Castro bate um papo com Julia Jordão, CPO da Avra e Artur Negrão, CEO da Salvy, explorando como executivos estão usando a inteligência artificial na prática, suas implicações e estratégias para a adoção. Links comentados:⁠Linkedin da Júlia Jordão⁠⁠Linkedin do Artur Negrão⁠⁠Your Couch-to-5K for AI⁠⁠Scott Galloway⁠Chapters00:00 - Intro02:19 - Uso Prático de AI nas Empresas04:44 - Cultura de Contribuição Individual e Democratização da Informação08:13 Processos Seletivos e Avaliação de Habilidades em AI10:23 - Estratégias de Implementação de AI nas Empresas14:32 - Mudanças Estruturais e Processos com AI17:17 - Dicas para Executivos sobre AI21:20 - Produtos da Semana e EncerramentoNewsletter Brilliant Basics: ⁠arthurcastro.substack.com⁠Newsletter O que eu vi por aí: ⁠aiquis.substack.com⁠Sessões da WWDC / Apple Developer: ⁠developer.apple.com⁠

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

"האינטרסנטים", הפודקאסט הכלכלי היומי של TheMarker, עם איתן אבריאל וסמי פרץ. (03:44) השנים האחרונות היו לא קלות עבור דמוקרטיות בעולם. בימים אלה ממש ממשלתו של קיר סטארמר בבריטניה נמצאת על סף קריסה, בדנמרק מנהיגה פופולרית לא הצליחה להרכיב ממשלה, ובאופן כללי הדמוקרטיות הליברליות סובלות מקיטוב, מסקטוריאליות גוברת ומחוסר יציבות. התוצאה, כפי שאנחנו מרגישים היטב על בשרנו, היא נסיגה של הדמוקרטיה בכל העולם, והשאלה הגדולה היא מדוע. הרי עד לא מזמן, תחת התזה המפורסמת על "סוף ההיסטוריה", ההנחה הרווחת הייתה שהדמוקרטיה הליברלית היא המודל הפוליטי המנצח והסופי. יחד עם עורכת הכלכלה הגלובלית שלנו, דפנה מאור, ננסה להבין מדוע המודל הזה מתערער עכשיו. (21:48) העובדה שרשות התחרות החליטה לאחרונה להכריז על הבנקים הגדולים כקבוצת ריכוז בתחום הפיקדונות מוכיחה שהתחרות בענף נמוכה, אך העובדה שמניות הבנקים לא הגיבו להכרזה מראה שרוב הציבור חושב שהכרזה כזו לא תהיה מהלך שבאמת ייצר תחרות בבנקאות. לעומת זאת, בכנסת דנים עכשיו בהצעת חוק להקמת מאגר נתוני אשראי עסקי, וייתכן שדווקא מאגר כזה יכול לייצר תחרות משמעותית, לפחות בסקטור העסקים הקטנים שם התחרות נמוכה במיוחד. הפרשנית שלנו מירב ארלוזורוב תהיה איתנו כדי לנתח את היוזמה הזו. (32:08) אחת מחברות הטכנולוגיה המבטיחות ביותר בישראל, לפחות עד השבוע, הייתה חברת AI21 שבשליטתו ובמימונו של מייסד ומנכ"ל מובילאיי, אמנון שעשוע. זו חברה שמפתחת מודלי שפה ומוצרי בינה מלאכותית, ואמורה הייתה לעמוד בקו הראשון של ה-AI העולמי, אלא שאתמול נודע שהיא מפטרת כ-60% מעובדיה, משאירה 70 עובדים בלבד ומשנה לחלוטין את המודל העסקי שלה. עורך תחום ההייטק, שגיא כהן, יצטרף אלינו כדי להסביר מה בדיוק קרה שם.See omnystudio.com/listener for privacy information.

Bentornati ad Archicad Talks!Nel mondo dell'architettura abbiamo ben compreso che la tecnologia informatica è una materia che un qualsiasi professionista non può permettersi di non conoscere, pena rallentamento dei processi di progettazione, allungamento dei tempi ed uscita dal mercato.Pensavamo di essere a buon punto col BIM e Archicad ma come per magia spunta un nuovo tool di accelerazione dei processi che ovviamente ha impattato anche nel mondo delle costruzioni: l'intelligenza artificiale.Ne parliamo con Mario Napolitano, openBIM Consultant e Founder di Napolitano Consulting, per sfruttare a pieno questa nuova opportunità, alla luce degli sviluppi del mondo BIM e del report di Anthropic sull'impatto dell'AI sul lavoro; un'importante introduzione che ci porta all'utilizzo diretto di MCP con Archicad e del nuovo progetto di Mario, dal nome più che chiaro: ArchiAI.Buon ascolto!CAPITOLI:0:20 Mario Napolitano2:10 Evoluzione dei tool per la progettazione4:00 Evoluzione del BIM8:55 Scalabilità delle soluzioni AI12:20 Controllo dell'Input14:45 Labor market impacts of AI21:50 Requisiti informativi accelerati con Claude24:30 MCP per Archicad28:55 Guida all'XML31:10 ArchiAI44:05 Lavoro in termini di valore55:55 Consigli per iniziare e per diventare utenti capaci1:00:45 SalutiVideo corsi presenti della piattaforma Graphisoft LearnBlog di Graphisoft Italia

From a man with a sword outside Jericho to five daughters who stood before Moses and changed the law of inheritance, Dr. Camille Fronk Olson continues to examine covenant renewal, Achan's costly disobedience, Caleb asking for his mountain, and Joshua's thundering challenge to a nation.SHOW NOTES/TRANSCRIPTSEnglish: https://tinyurl.com/podcastOT221ENFrench: https://tinyurl.com/podcastOT221FRGerman: https://tinyurl.com/podcastOT221DEPortuguese: https://tinyurl.com/podcastOT221PTSpanish: https://tinyurl.com/podcastOT221ESYOUTUBE: https://youtu.be/NAhBTkvpsDIFREE PDF DOWNLOADS OF followHIM QUOTE BOOKSNew Testament: https://tinyurl.com/PodcastNTBookOld Testament: https://tinyurl.com/PodcastOTBookBook of Mormon: https://tinyurl.com/PodcastBMBook WEEKLY NEWSLETTERhttps://tinyurl.com/followHIMnewsletter SOCIAL MEDIAInstagram: https://www.instagram.com/followHIMpodcastFacebook: https://www.facebook.com/followhimpodcastTIMECODE:00:00 - Part 2 - Dr. Camille Fronk Olson1:24 The captain of the host of the Lord5:53 The conquest of Jericho11:42 The scarlet thread as Passover imagery14:37 Achan's disobedience and its consequences20:32 The conquest of Ai21:02 Caleb at 85: “Give me this mountain”24:24 President Kimball's talk and Dr. Olson's story28:57 The daughters of Zelophehad have names36:13 Joshua's farewell address41:44 The Lord's history lesson to Israel44:44 The people covenant and after Joshua died49:39 Joshua's legacy compared to moses51:45 Elder Neal A. Maxwell's sarcastic talk54:19 Testimony 58:14 End of Part 2 - Dr. Camille Fronk OlsonThanks to the followHIM team:Steve & Shannon Sorensen: Cofounder, Executive Producer, SponsorDavid & Verla Sorensen: SponsorsDr. Hank Smith: Co-hostJohn Bytheway: Co-hostDavid Perry: ProducerKyle Nelson: Marketing, SponsorLisa Spice: Client Relations, Editor, Show NotesWill Stoughton: Video EditorKrystal Roberts: Translation Team, English & French Transcripts, WebsiteAriel Cuadra: Spanish TranscriptsAmelia Kabwika: Portuguese TranscriptsHeather Barlow: Communications DirectorSydney Smith: Social Media, Graphic Design "Let Zion in Her Beauty Rise" by Marshall McDonaldhttps://www.marshallmcdonaldmusic.com

Today's show:Cerebras just jacked its IPO range to $150–$160 a share, OpenAI bought a consulting firm to seed its $4 billion private-equity joint venture, and a startup in Oakland is electrolyzing magnesium out of seawater for one-third the going price. Alex Wilhelm and Jason Calacanis go deep with AI21 co-CEO Ori Goshen on why model orchestration, not bigger LLMs, will decide who wins enterprise AI.The crew also covered the decline of OpenClaw, TikTok's new £3.99 ad-free tier, more entries in the live-show sidebar bounty, and had time for a little Off Duty before signing off.Guest Links:Ori Goshen on LinkedInAI21Alex Grant on LinkedInMagrathea MetalsTimestamps:0:00 Ori Goshen, CEO of AI21 joins the show1:20 Plaud: If your work depends on conversations — interviews, meetings, calls — you need a Plaud NotePin. You can check it out at https://Plaud.ai/twist and use code TWIST for 10% off!5:14 Why enterprises care about token cost optimization6:01 Jamba as open-weight; Maestro as proprietary orchestration10:08 LinkedIn Jobs - Hire right, the first time. Post your first job and get $100 off towards your job post at https://LinkedIn.com/twist12:56 AI21 customer roster: FNAC, US tech giants, Israeli companies19:01 Alex Grant, CEO of Magrathea Metals joins to discuss pulling magnesium from seawater20:03 Live video of the Oakland pilot electrolyzer20:10 Deel - Founders scale faster on Deel. Set up payroll for any country in minutes, hire anyone anywhere, get visas handled fast, and get back to building. Visit https://deel.com/twist to learn more.22:01 Magnesium as a "gateway metal" for aluminum, defense, aerospace23:20 TETRA joint venture & the Evergreen Project in Arkansas23:38 Series A close, JV economics: $3,000/ton vs. $7,000/ton market29:10 Sidebar bounty update: Glass Sidebar (Oliver Choy) demo30:47 Netsuite - Get the free business guide Demystifying AI at https://netsuite.com/twist31:47 Sidebar bounty update: Sidecast (Patrick Hughes) demo36:09 Reducing scope to "real-time fact checker only" for final round37:24 Ro.co: Ro's insurance checker will let you know if your coverage includes GLP-1s for FREE. Go to https://Ro.co/Twist for your free insurance check.39:07 Cerebras IPO: $115–$125 → $150–$160 per share44:19 Will OpenAI's compute commitments to Cerebras actually get funded?49:19 Fervo Energy IPO — venture-backed geothermal company going public49:40 OpenAI Deployment Company + Tomoro acquisition explained53:51 Anthropic's parallel $1.5B PE joint venture with Blackstone & Goldman56:05 Why Jason thinks these PE spinouts are convoluted financial engineering56:40 OpenClaw's decline + competition from Cowork, Perplexity, Grok1:04:22 TikTok's £3.99 ad-free subscription launches in the UK1:09:09 Knicks sweep 76ers — Jason's playoff predictions1:11:24 Off-duty: "There Is No Antimemetics Division" by qntm1:13:25 Off-duty: Fall of Civilizations podcast by Paul Cooper1:16:37 States' rights, federalism, housing supply & closing thoughtsSubscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisCheck out all our partner offers: https://partners.launch.co/Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.com

פרק מספר 513 של רברס עם פלטפורמה. רן ואורי מארחים את יובל פלג לוי מ-AI21 Labs לשיחה על אחד האתגרים המורכבים והכאובים בעולם ה-AI הארגוני: חילוץ והבנה של קובצי PDF, בדגש על השפה העברית. יובל משתף במחקר מרתק וטריק יצירתי במיוחד שהם פיתחו כדי לגרום למודלים לקרוא עברית בצורה חלקה. [00:00] היכרות ומה עושים ב-AI21 יובל נמצא ב-AI21 כבר כארבע שנים (לפני כן עבד ב-SparkBeyond וב-Ginger Software). ב-AI21 עסק תחילה בסיכומים וב-Pre-training של המודל Jamba, וכיום מתמקד בעולם ה-Agents. המערכת המרכזית עליה עובדים היום בחברה נקראת Maestro, שנועדה לתת שליטה (Controllability) ולהוציא את המקסימום מאייג'נטים מבחינת איכות ועלויות. הקשר ל-PDF: מדובר בבלוק מידע בסיסי בעולם. אם מכניסים לאייג'נט PDF "מורעל" שבו המילה 'רן' מפוענחת כ-'דן', כל ה-Pipeline וההקשר הסמנטי נהרסים. [04:38] למה PDF זה כזה כאב ראש? בניגוד ל-HTML או LaTeX, פורמט PDF הוא נורא לא סמנטי ומתבסס בעיקר על גרפיקה. הפרימיטיבים המרכזיים שם הם שורות מרחפות וגרפיקות וקטוריות. למשל, טבלה היא פשוט אוסף של שורות עם ציור של קווים ביניהן. חבילות מודרניות לקריאת מסמכים (כמו MinerU או Marker) מנסות להרכיב Pipelines שמשלבים מודלים לזיהוי אזורים ויזואליים יחד עם חילוץ מטא-דאטה, אבל זה מורכב. צלילה לעברית: ב-AI21 יצרו דאטה סינתטי וגילו שיש צניחה משמעותית בביצועים (עשרות אחוזים) של כמעט כל המודלים בשוק כשמדובר בעברית, כולל מודלי State of the Art. [15:56] הפתרון: לעבוד על המודל בעיניים מדעני נתונים בדרך כלל בוחרים בין כתיבת חוקים (יוריסטיקות) לבין אימון מודל מאפס עם המון דאטה. ב-AI21 רצו להימנע משני הפתרונות הללו. הרעיון: לקחת מודל שטוב באנגלית, ולגרום לו לחשוב שהוא קורא אנגלית - למרות שהמסמך בעברית. אי אפשר פשוט לתרגם את המילים לאנגלית, כי אורך המילים ישתנה וידרוס אלמנטים גרפיים וגבולות של טבלאות. אי אפשר להמיר את המילים לסתם מספרים או תווים, כי המודל לא מבין הקשר כזה. הפתרון שנבחר: לקחו מילים פופולריות באנגלית ומיפו אותן לגודל התיבה (Bounding Box) שלהן. עבור כל מילה בעברית במסמך, מצאו מילה באנגלית שיש לה בדיוק את אותן מידות פיזיות של גובה ורוחב, והחליפו אותה במסמך (תוך שמירת המיפוי במילון). התוצאה: מסמך PDF מרונדר מחדש, שנראה ויזואלית תקין לחלוטין עם רווחים מדויקים, אבל קריאה שלו באנגלית היא ג'יבריש מוחלט ללא כל משמעות סמנטית. [24:30] מדידות, ביצועים ו-DeepSeek-OCR כדי למדוד את ההצלחה, יצרו דאטה-סט בעברית שתויג ידנית באמצעות Label Studio. השתמשו בפורמט בדיקה מקובל בתעשייה בשם OmniDocBench, המשתמש במדדים כמו Edit Distance לטקסט ו-Tree Edit Distance לטבלאות (שניתן לייצג במבנה עצי כמו HTML). התוצאות: שיפור מרשים בכל המודלים שניסו (קפיצה של כ-7-8 אחוזים במודלים חזקים). הקסם האמיתי הוא במודלים מסוג On-Prem (עבור בנקים או גופים ביטחוניים שלא יכולים להשתמש ב-API חיצוני) - שם השיטה הקפיצה את אחוזי ההצלחה מ-10% ל-50%. כדי לחסוך את זמן העיבוד שדורש הרינדור מחדש של ה-PDF בזמן אמת, AI21 השתמשו בשיטה הזו כדי לאסוף ולייצר מסד נתונים עצום. בעזרתו הם אימנו מודל משקולות מבוסס DeepSeek-OCR שעושה את העבודה בצורה מהירה ויעילה, וגם יודע להתמודד עם מסמכים סרוקים (שאין להם מטא-דאטה להישען עליו). [35:00] מה לגבי שפות אחרות? ערבית: בדקו את השיטה גם על ערבית, וגילו שחלק מהמודלים הגדולים מציגים מדדי ביטחון (Self-Consistency) גבוהים מאוד בערבית ולכן השיטה פחות השפיעה שם, אבל כן עזרה משמעותית במודלים קטנים (Mini/Nano). השערה: מודלים של שפה הם חיות שניזונות ממידע קיים, ופשוט יש הרבה פחות מידע זמין בעברית ברחבי האינטרנט ביחס לשפות אחרות. קריאה נוספת: RTL PDF Parsing — הבלוג של AI21 האזנה נעימה!

In this episode of the Used Car Dealer Podcast, Zach talks with Monik Pamecha, co-founder of Toma, about how AI is reshaping dealership operations, from lead handling to customer communication and overall efficiency. Monik shares how Toma started by solving a simple but critical problem—missed calls and slow response times—and how that expanded into a broader opportunity to reduce friction across the entire car buying process. The conversation dives into why today's consumers expect instant responses, where dealerships are losing opportunities, and how AI helps bridge that gap at scale. They also explore what real AI adoption looks like inside a dealership, including how AI agents improve lead engagement, increase appointment set rates, and streamline communication without replacing the human element. Monik breaks down common misconceptions about AI, why it's not a “magic bullet,” and how dealers should think about ROI when implementing these tools. Zach and Monik also discuss the future of dealership operations, how AI could simplify decision-making, and why the next generation of high-performing dealers will be those who adapt quickly to changing customer expectations. Key Questions & Timestamps 00:33 Intro: AI for car dealerships with Monik Pamecha of Toma01:18  How Toma got started in automotive03:14 The biggest dealership problems AI can solve first04:43 Why dealers can't ignore AI anymore06:55 Where AI is driving real efficiency today08:45 Measuring ROI from dealership AI tools09:38 What makes a true AI agent different10:31 How AI helps convert leads into appointments12:46 Real results: appointment lift and conversion impact14:19 The biggest AI implementation mistakes dealers make15:45 What dealership operations look like in the next 3–5 years17:28 Is AI replacing people or supporting teams?20:31 Rapid fire: easiest dealership process to automate21:05 Rapid fire: Biggest misconception about AI21:22 Rapid fire: What separates top-performing dealers in the future22:12 Where to find Toma22:58 Why Monik started selling cars in-store himself  

The Information's Sri Muppidi talks with TITV Host Akash Pasricha about OpenAI's internal projections to hit $102 billion in ad revenue by 2030. We also talk with Valida Pau about Nebius in talks to acquire Israeli startup AI21 and Laura Bratton about ServiceNow's new agentic tool for the customer data wars. Lastly, we get into Meta's $21 billion CoreWeave deal and new AI models with D.A. Davidson's Gil Luria.Articles discussed on this episode: https://www.theinformation.com/articles/openai-forecasts-advertising-hit-102-billion-2030https://www.theinformation.com/articles/nebius-talks-buy-israeli-ai-startup-ai21-nvidia-deal-fizzleshttps://www.theinformation.com/newsletters/the-briefing/meta-tries-light-fire-ai-marketSubscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/

On today's episode of the Sports Pundit Podcast, I'm joined by Mark Shannon, Head of Digital Product at the DP World Tour.Mark is a product leader specialising in digital transformation and fan engagement innovation, with experience spanning sports, automotive, retail, and government.Throughout his career, he's built and launched revenue driving digital products that deliver exceptional user experiences.Most recently, he's been helping transform how fans engage with the DP world Tour through mobile's first strategies, modern technology and data-driven product development.Mark combines deep technical expertise for strategic vision, and in this episode we go somewhere to exploring that.We talk about the shift from project led to product led organisations, how AI is reshaping the sports fan experience and how Mark is personally experimenting with Frontier Technologies to stay ahead of the curve.Timestamps2:00 - Mark's Career Path05:00 - From Car Rental to the Sports Industry 08:00 - Project to Product Mindset Shift11:00 - Data and Fan Insights16:00 - Implications of AI21:00 - How Mark is Approaching AI 36:00 - Future of DP World TourAdditional Links:Subscribe to Mark's Newsletter, The Sports Stack. Jump's $23M Series A: Why Sports' Ticketing Monopoly Is Finally Under AttackAbout The HostAndy Marston⁠ is the founder of Sports Pundit, a community and media platform for sports and technology executives. Through a weekly newsletter, podcast network, lively group chat, and regular social events, he shares industry analysis and connects leaders across the sector. Alongside Sports Pundit, Andy leads Corporate Venture at athlete-backed venture firm, The Players Fund, where he works with high-profile sports IP such as Como 1907 to design venture strategies and drive innovation initiatives. About Sports PunditSports Pundit is a community-driven platform for executives working in sport, built around content, events, and conversation. Through its ⁠weekly newsletter⁠, social channels, WhatsApp groups, and podcast network, it connects industry leaders across the globe.At the heart of the platform is the ⁠Sports Pundit Podcast Network⁠, a multi-show lineup created for sports executives, by sports executives. The network features six domain-specific podcasts spanning innovation, marketing, finance, performance, and media, alongside a conversational companion show, The Pitch. Together, they deliver insider perspectives that live up to Sports Pundit's mission to be “The Voice of the Sports Industry.”Produced by OH SIXThe Sports Pundit Podcast is proudly produced by ⁠OH SIX⁠, a content marketing agency specialising in producing digital and social-first content that connects. Trusted by Premier League clubs, F1 teams, and top brands, OH SIX deliver premium content end-to-end, from ideation, working with talent during production and platform specific content to reach audiences on screen.

In This Episode of Business Lunch: We explore the dynamics of single person companies versus scaled organizations, the impact of AI on workforce and productivity, and strategic decisions for business growth in a rapidly evolving technological landscape.Chapters:00:00 Introduction and guest credentials00:15 Recent business and personal updates01:07 Elon Musk's prediction on trillion-dollar companies01:37 Single person companies and their growth potential02:07 Oracle layoffs and business efficiency02:51 Discussion on business culture and layoffs03:05 Should businesses aim to be single person companies?03:51 Balancing lean architecture and business scale04:21 Impact of layoffs on company size and efficiency05:18 AI's role in increasing productivity and profitability06:09 Revenue per employee as a key metric07:37 Profitability and competitive advantage with lean teams08:42 The importance of great teams in AI integration09:37 Leverage and productivity gains from AI10:35 Change management and AI implementation11:22 Performance levels and workforce evolution12:29 Business decisions on personnel and technology13:35 The role of AI in employee roles and management14:38 Upskilling and career progression in AI era15:38 The widening productivity gap with AI16:13 Big companies' strategic layoffs and AI17:01 Automation replacing roles and job functions17:59 Addressing automation and job displacement19:18 Flattening organizational structures with AI20:12 Roles that are truly replaced by AI21:20 Monitoring and oversight roles in AI-driven processes22:25 Opportunities for career advancement in AI-enabled companies23:47 The future of work and new job creation24:38 The trend of returning to human-centric activities25:16 The evolution of social media and in-person interactions26:04 Business decisions and the impact of AI on employment27:02 Focusing on practical AI solutions over bleeding-edge tech28:24 Avoiding distractions and focusing on effective AI use29:10 Closing thoughts and audience engagementConnect with me on social:TikTok: Check out my TikTok HereInstagram: Check out my Instagram HereFacebook: Check out my Facebook HereLinkedIn: Check out my LinkedIn HereSubscribe to my YouTube

Zach Klempf is back! He joined Matt Watson on one of the early episodes of the show. Now, Zach is president of AutoManager, a private equity group with five automotive software companies under its umbrella.In this episode, Zach and Matt get into how AI is making senior engineers more productive. They talk about why offshore teams tend to adopt it more slowly, and where vibe coding breaks down when you're running production software with real integrations. They also get into why simple SaaS products are getting harder to defend. And why leads and sales have always been the harder problem anyway.Listen to the full episode now! Subscribe to Startup Hustle wherever you get your podcasts.⏱️ Episode Breakdown00:00 Introduction to Zach Klempf and AutoManager03:09 The Journey of Selle Automotive05:48 Outsourcing and Global Talent Strategy08:59 Experiences in Jamaica and the Philippines12:01 Transition to AutoManager and AI Integration15:13 AI Adoption and Team Dynamics18:02 The Future of Software Development and AI21:02 Challenges in AI Implementation24:10 Market Dynamics and Competitive Landscape26:53 Final Thoughts and ReflectionsLinks & ResourcesConnect with Zach Klempf on LinkedInhttps://www.automanager.com/What Smart CTOs Are Doing Differently With Offshore Teams in 2025Subscribe to the Global Talent SprintFull Scale – Build your dev team quickly and affordablyIf you're trying to get your team out of the basement and into real product ownership, this episode is your playbook. Stop being a ticket factory. Build teams that think, create, and lead.Follow the show, rate it, and send this to someone who's still trying to do “real Scrum.” They need it more than you do.

Are you ready to empower your children with the skills they actually need for the future? In this episode, Elena Zakharova joins the show to discuss why financial literacy, digital intelligence, and character development are the most important lessons we can teach our kids today. Discover how to transition from being a passive observer to an active leader in your child's educational journey.Elena shares her fascinating journey from a 15-year tech veteran at companies like IBM and AMD to the founder of Kid Laboratories. She breaks down the essential components of her Future Proof Kids framework, including the money cycle, the science of AI perception, and the importance of creating goal manifestos. We explore the challenges of raising children in a world of frictionless transactions and instant gratification, and how simple 10-minute weekly conversations can create a massive categorical shift in their development.Key topics covered in this episode:

Benvenuti a una nuova puntata dei Garagisti Tech, il format indipendente in cui analizziamo le notizie più importanti del mondo Tech, AI, Startup ed economia digitale.Nel Garage non ci limitiamo a commentare le news: ci sporchiamo le mani per capire cosa significano davvero per chi lavora, fa impresa e prende decisioni.Con noi due ospiti d'eccezione:

Ann Berry is joined by Zeta Global Co-founder & CEO David Steinberg to discuss how the company is using AI to transform digital marketing. Steinberg explains how Zeta's platform helps enterprises acquire, retain and monetize customers, why the company invested in AI years before the recent boom and how it built its consumer data cloud. They also discuss the “software apocalypse” narrative weighing on SaaS stocks, Zeta's push into connected TV advertising and how its new AI assistant Athena could further automate marketing decisions. 00:00 Zeta Global CEO David Steinberg Joins01:00 What Zeta's Marketing Platform Actually Does03:14 Why Zeta Pivoted to AI in 201707:30 Building a Massive Consumer Data Cloud08:34 How Zeta Uses Data to Target and Acquire Customers10:02 The “Software Apocalypse” and Tech Stock Selloff10:44 Zeta's Growth: Revenue, Cash Flow, and Scale12:06 Connected TV Advertising and Data Targeting13:45 Why AI Won't Replace Enterprise Software17:46 Introducing Athena: Zeta's AI Marketing Copilot19:02 Automating Marketing Strategy with AI21:06 The Path to $2.3B in Revenue22:14 Pricing Power and Return on Ad Spend26:03 M&A Strategy and Growth Through Acquisitions After Earnings is brought to you by Stakeholder Labs and Morning Brew.For more go to https://www.afterearnings.com Follow UsX: https://twitter.com/AfterEarningsTikTok: https://www.tiktok.com/@AfterEarningsInstagram: https://www.instagram.com/afterearnings_/ Reach OutEmail: afterearnings@morningbrew.com $ZETA Learn more about your ad choices. Visit megaphone.fm/adchoices

Peter Swimm started at a library computer desk. He ended up as a product owner at Microsoft and founder of his own AI security consultancy.In this episode, Peter shares the real path — not the polished LinkedIn version. He talks about why working at startups changed how he thinks about learning, what it actually takes to balance security with user experience, and why conversational AI is opening a security attack surface most teams aren't prepared for.If you're trying to break into cybersecurity from a non-traditional background, or you're already in tech and wondering what's next — this conversation is for you.

Brian Dixon is the CEO of Off The Chain Capital. In this conversation, we discuss whether bitcoin acts as a risk-on tech asset or “insurance from war” during geopolitical conflict, the macro forces impacting the market, and why institutions are increasingly accumulating bitcoin. We also cover regulatory catalysts, bitcoin's relationship with AI and traditional assets, and Brian's value-investing approach to opportunities across the crypto ecosystem.=====================BitcoinIRA: Buy, sell, and swap 80+ cryptocurrencies in your retirement account. Take 3 minutes to open your account & get connected to a team of IRA specialists that will guide you through every step of the process. Go to https://bitcoinira.com/pomp/ to earn up to $1,000 in rewards.=====================Arch Public is an agentic trading platform that automates the buying and selling of your preferred crypto strategies. Sign up today at https://www.archpublic.com and start your automated trading strategy for free. No catch. No hidden fees. Just smarter trading.=====================0:00 - Intro1:02 - Is war good or bad for bitcoin?2:23 - How investors rebalance portfolios during conflict8:48 - Institutional demand for bitcoin12:47 - Bitcoin's real-world use case in conflict zones19:50 - Bitcoin vs stocks, gold, & AI21:46 - What risks worry bitcoin investors?25:52 - Bitcoin treasury companies & value investing29:35 - Off The Chain Capital's investment strategy35:47 - Catalysts that could drive bitcoin higher

In this episode, Jim McDonald welcomes back Martin Kuppinger, Principal Analyst at KuppingerCole, to discuss the rapidly evolving landscape of identity in 2026. With Jeff Steadman away, Jim and Martin dive deep into the intellectual challenges posed by AI agents and the limitations of traditional non-human identity frameworks. Martin explains why organizations are feeling a sense of disillusionment with AI and how a capability-based identity fabric approach can help manage the complexity. They also explore the balance between security and business enablement, the rise of workload identities, and what to expect at the upcoming European Identity and Cloud Conference (EIC) in Berlin.Connect with Martin: https://www.linkedin.com/in/martinkuppinger/KuppingerCole: https://www.kuppingercole.comEuropean Identity and Cloud Conference (EIC) (don't forget to use our discount code idac25mko): https://www.kuppingercole.com/events/eic2026Connect with us on LinkedIn:Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/Visit the show on the web at http://idacpodcast.comTimestamps00:00 - Welcome back to 2026 and EIC preparations02:48 - The shift from future potential to current AI agent challenges03:12 - Understanding AI disillusionment and the lack of control in regulated industries05:19 - Security as a business enabler vs progress prevention09:55 - Why AI agents should not be classified simply as non-human identities11:43 - Complex relationships between humans, agents, and delegated tasks15:17 - Self-service identity for knowledge workers and AI productivity18:40 - The risks of decentralized agent creation and "shadow" AI21:58 - How AI is being baked into identity products beyond role mining26:55 - Using usage data to reduce over-entitlements34:10 - The Identity Fabric: A capability-based approach to IAM40:33 - Vendor rationalization and the flexibility of the fabric47:19 - Previewing EIC 2026 topics: Wallet initiatives and consent52:44 - Final advice: Curing symptoms vs addressing causesKeywords:IDAC, Identity at the Center, Jeff Steadman, Jim McDonald, Martin Kuppinger, KuppingerCole, IAM, AI Agents, Identity Fabric, EIC 2026, Non-Human Identity, Workload Identity, ITDR, IGA, Cybersecurity

I know, I know. Season 5 wrapped up. But I couldn't help myself.Caitlin Sullivan is an expert in AI for Customer Research. She trains growth-ready product & design teams to know their customers faster. Clients include YouTube, Spotify, Ramp, Meta, and Canva.Here's what we covered:00:00 Introduction to AI in Customer Research03:41 The Shift in AI Usage for Customer Research09:25 Building Systems for Effective Research12:59 Challenges with AI Insights17:55 Completeness in Research with AI21:17 Common Mistakes in Customer Research25:01 Emotional Nuances in Research & Why they're important27:08 Understanding AI's Interpretation of Emotions29:46 The Role of Human Insight in AI Training32:25 AI as a Co-Pilot and The Importance of Collaboration35:37 Catching AI Errors38:30 The Necessity of Human Involvement in Research39:55 Balancing AI and Human Decision-Making45:02 Knowing When You Have Enough Data To Stop And Decide46:44 Favorite Tools for Research and Analysis50:00 Caitlin asks me her burning question which I will answer in a separate BONUS episodeCaitlin on LinkedIn: www.linkedin.com/in/caitlindsullivanAI Analysis for PMs course: https://maven.com/caitlin/ai-analysis-pmsSubscribe to Building With Buyers on Apple or Spotify or wherever you like to listen, message me what you're listening to, and don't forget to leave a review if you're lovin' the show.Music by my talented daughter.Anna on LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠linkedin.com/in/annafurmanov⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠furmanovmarketing.com⁠⁠⁠⁠⁠⁠⁠⁠⁠Newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠One Insight

Unlock your next A‑player hire! Join us on February 10 for a free, live web class where we'll reveal the exact hiring framework top contractors use to consistently attract and keep elite talent (even in a labor shortage).Register here: https://trybta.com/HIFB26To learn more about Breakthrough Academy, click here: https://trybta.com/EP257 Take our five minute quiz and get a custom Contractor Growth Scorecard: https://trybta.com/DL257How much time do you waste each day on little inefficiencies?- Searching for the latest version of that SOP- Flipping through a hundred browser tabs to find your budget spreadsheet- Typing out the same email to 30 different clientsToday's guest, Nick Sonnenberg, literally wrote the book on business efficiency. It's called Come Up For Air and it is a go-to for small business owners and teams looking to stop “drowning in work” and free up the time they spend on redundant or inefficient tasks.In today's episode, we get into all the little things you can do that may only save you seconds at the time… …but actually add up to minutes and hours when you stack them day after day.We talk email management, how to invest time up front to save yourself hours down the line, and how to set yourself up for success when it comes to AI and automations.This is a quick one, but we cover a lot.00:00-Intro01:29-Increasing Capacity Without Adding More People01:37-Why Start with Email Management?04:16-The RAD Framework: Reply, Archive, Defer06:59-Quick Wins for Email Inbox Management08:46-AI and Automation in Contracting Businesses11:18-Progress and Context of Nick's Executive Assistant AI Agent14:14-Asset Building vs. One-Time Requests with AI21:54-Identifying Areas for AI Use24:32-The Shift to AI as a Search Engine27:05 -Final Thoughts and How to Contact Nick

“I don't worry about being replaced by AI. I worry about being replaced by someone who's really good at using AI.”Atlassian has 10,000+ engineers currently split-testing the world's top AI coding tools, from GitHub Copilot and Cursor to Claude Code. In this episode, Co-Founder & CEO Mike Cannon-Brookes joins Lukas Biewald to share what their data reveals about the world's best AI tools today.Hear how 24 years of building a tech giant and a massive internal study on AI productivity have shaped Mike's vision for the future of dev jobs.Connect with us here:Mike Cannon-Brookes: https://www.linkedin.com/in/mcannonbrookes/?originalSubdomain=auAtlassian: https://www.linkedin.com/company/atlassian/?viewAsMember=trueLukas Biewald: https://www.linkedin.com/in/lbiewald/ Weights & Biases: https://www.linkedin.com/company/wandb/00:00 Trailer01:08 Introduction03:11 Connecting Technology and Business Teams07:22 The Impact of AI on Business Workflows13:26 Developer Productivity and AI21:03 Measuring Developer Efficiency25:41 Future of AI in Development34:59 Legacy Technology and Code Changes39:29 AI's Role in Developer Productivity47:40 AI and Junior Developers52:30 Product-Led Growth and Business Strategy01:00:29 Core Metrics for Sustainable Growth01:06:56 Staying Creative in the Tech Industry

In this episode of Talking AI, Matt Paige speaks with Andy McMillan, CEO of Alteryx, to challenge the narrative that AI will make data analysts obsolete.Andy argues that AI can make analysts indispensable by automating routine tasks, enhancing scalability, and providing specific business insights.They discuss the evolving role of analysts, the importance of business logic, and how AI can aid in building useful tools.The conversation touches on applying AI in various business processes, from budgeting to sales commissions, and how analysts can leverage AI to add value.Andy also shares insights on Alteryx's latest developments and future direction, emphasizing automation, data preparation, and AI tools designed to enhance productivity and accuracy.--Key Moments:00:50 The Evolving Role of Data Analysts03:19 AI and Data Preparation: A New Era04:04 Real-World Examples: AI in Action07:00 The Analyst's Superpower: Business Context10:07 AI and the Semantic Layer12:44 Empowering Analysts with AI21:11 The Future of AI Agents23:46 Applying AI to Automation23:56 The Future of AI Agents24:55 Preparing for AI Integration25:37 Challenges with AI in Business27:45 AI in Finance and Data Accuracy30:06 Strategic Shifts with AI35:29 Build vs. Buy in the AI Era38:56 Alteryx's New AI Capabilities41:22 The Future Role of Analysts42:18 Overhyped and Underhyped AI--Key Links:AlteryxConnect with Andy on LinkedInMentioned in this episode:Free report from HatchWorks AI — State of AI 2026What's real in AI this year, what's hype, and what leaders should prioritize — including production lessons, designing for agents, and governance. https://hatchworks.com/state-of-ai-2026/

Might internal memos be a thing of the past?When you can just build something as fast as writing a memo about it, why wouldn't you just build the demo? In this episode of Everyday AI, we sit down with Google Cloud's Richard Seroter to break down five simple ways to use AI with Google. No technical background needed.We talk faster research, better learning, building ideas without overthinking, and why “demos over memos” might change how teams work.If you want practical, no-BS ways to actually use AI in your day‑to‑day, this one's worth a listen.5 Practical AI Workflows That Actually Matter -- An Everyday AI Chat with Jordan Wilson and Google's Richard Seroter (Replay)Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Five Practical AI Workflows with GoogleGemini Deep Research for Rapid AnalysisNotebookLM AI-Powered Knowledge ExplorationGemini CLI and Code Assist for DevelopersGoogle Jewels Autonomous Coding AgentsAI Change Management and Workflow AutomationGemini's Contextual Integration with Email and CalendarGemini and Agentic AI Across Google ProductsTimestamps:00:00 "Simple AI Strategies for Workflows"06:14 "Embracing AI-First Thinking"08:49 "Effective Strategies for Deep Research"11:24 "Context Engineering with LLMs"15:32 "Unlocking AI's Business Potential"17:33 Simplifying Complexity with AI21:21 "Everyone's a Builder Now"24:54 "Building AI Tools for Everyone"28:06 "Communicating Intent to AI Agents"30:16 "AI: The Smarter Interface"33:30 "Everyday AI: Wrap-Up & Subscribe"Keywords:Gemini Deep Research, Google AI, generative AI, AI workflows, Google Cloud, NotebookLM, AI strategies, AI transformation, change management, contextualized AI, agentic work, AI-powered research, personalized AI, deep research tools, collaborative AI agents, AI in business, AI for analysis, large language models, AI for everyday business leaders, Gemini CLI, code assist, AI coding agent, Google Jewels, autonomous AI, background AI teammate, context engineering, integrating AI in workflows, AI for HR, marketing AI, AI-powered knowledge management, learning with AI, AI onboarding, student AI tools, spec driven development, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

Exploring Leadership and AI with Anand Tharanathan In this engaging episode of our podcast, we delve into the world of leadership and Artificial Intelligence with Anand Tharanathan, GVP of Product Research and Insights at ServiceNow. Anand shares his journey from an individual contributor to a leadership role, emphasizing the importance of empathy, mentorship, and learning from failure. He discusses his unique perspective on leadership drawn from his experiences in sports and how this has influenced his professional growth. Anand also provides insights into the rapidly evolving field of AI, comparing it with human automation and highlighting the importance of keeping the human element in the loop. He addresses the challenges and nuances of designing AI systems that enhance human capabilities rather than replace them. Additionally, Anand discusses how to strike a balance between being product-centric and people-centric, and the crucial role of adaptability in navigating technological advancements. Towards the end of the conversation, Anand outlines a framework for effectively using AI and advises on avoiding common pitfalls when integrating AI into new products. This episode is a must-watch for anyone interested in leadership, AI, and the future of technology. Join us and gain valuable insights from industry experts! Guest - Anand Tharanathan, GVP of Product Research and Insights at ServiceNowGuest Host - Apurva Korde 00:00 Introduction and Guest Welcome00:24 Discussing UX Research and AI01:18 Leadership Journey and Insights03:45 The Role of Mentors and Managers09:59 Design Leadership vs. Conventional Leadership13:56 Balancing Product and People-Centric Leadership17:55 Adapting to Rapid Technological Changes18:56 Navigating the AI Revolution19:14 Staying Calm and Curious in the AI Era20:45 Insights from a Tech Leader on AI21:42 Designing Human-Centric AI Experiences26:32 The Importance of Human in the Loop31:24 Frameworks for AI Use and Misuse34:25 Building AI-Powered Products36:37 Balancing AI and Business Goals38:45 Concluding Thoughts on AISee omnystudio.com/listener for privacy information.

Exploring Leadership and AI with Anand Tharanathan In this engaging episode of our podcast, we delve into the world of leadership and Artificial Intelligence with Anand Tharanathan, GVP of Product Research and Insights at ServiceNow. Anand shares his journey from an individual contributor to a leadership role, emphasizing the importance of empathy, mentorship, and learning from failure. He discusses his unique perspective on leadership drawn from his experiences in sports and how this has influenced his professional growth. Anand also provides insights into the rapidly evolving field of AI, comparing it with human automation and highlighting the importance of keeping the human element in the loop. He addresses the challenges and nuances of designing AI systems that enhance human capabilities rather than replace them. Additionally, Anand discusses how to strike a balance between being product-centric and people-centric, and the crucial role of adaptability in navigating technological advancements. Towards the end of the conversation, Anand outlines a framework for effectively using AI and advises on avoiding common pitfalls when integrating AI into new products. This episode is a must-watch for anyone interested in leadership, AI, and the future of technology. Join us and gain valuable insights from industry experts! Guest - Anand Tharanathan, GVP of Product Research and Insights at ServiceNowGuest Host - Apurva Korde 00:00 Introduction and Guest Welcome00:24 Discussing UX Research and AI01:18 Leadership Journey and Insights03:45 The Role of Mentors and Managers09:59 Design Leadership vs. Conventional Leadership13:56 Balancing Product and People-Centric Leadership17:55 Adapting to Rapid Technological Changes18:56 Navigating the AI Revolution19:14 Staying Calm and Curious in the AI Era20:45 Insights from a Tech Leader on AI21:42 Designing Human-Centric AI Experiences26:32 The Importance of Human in the Loop31:24 Frameworks for AI Use and Misuse34:25 Building AI-Powered Products36:37 Balancing AI and Business Goals38:45 Concluding Thoughts on AISee omnystudio.com/listener for privacy information.

*Previously aired episode* Joe Fairless interviews AI-savvy investors Paul Hopkins, Perry Zheng, Lance Pederson, and Bo Barron to explore how artificial intelligence is reshaping commercial real estate acquisitions. The panel shares practical tools—like Google's Notebook LM, ChatGPT, AI21, and Claude—and strategies for deal analysis, underwriting, parsing PDFs, and even creating custom GPTs to automate offering memorandum reviews. They discuss how AI streamlines market research, transforms spreadsheets into semantic data, and helps underwrite deals more accurately and efficiently, while also acknowledging its limits in replacing human decision-making and deal sourcing relationships. Paul Hopkins COO and Partner ⁠https://cpicapital.ca/⁠ Perry Zheng Founder and CEO ⁠https://www.cashflowportal.com/⁠ Lance Pederson CEO and Co-Founder ⁠https://www.passiveadvantage.com/⁠ Bo Barron CEO ⁠https://barroncommercial.com/ Join us at Best Ever Conference 2026! Find more info at: https://www.besteverconference.com/  Join the Best Ever Community  The Best Ever Community is live and growing - and we want serious commercial real estate investors like you inside. It's free to join, but you must apply and meet the criteria.  Connect with top operators, LPs, GPs, and more, get real insights, and be part of a curated network built to help you grow. Apply now at⁠ ⁠⁠⁠www.bestevercommunity.com⁠⁠ Podcast production done by⁠ ⁠Outlier Audio⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Andrew Warden, CMO of Semrush, joins us to unpack how AI is reshaping search, and what it means for marketers heading into 2026. We discuss whether SEO is really “dead,” the biggest insights from Semrush's new AI Visibility Index, and how different AI models surface and rank content across industries. Andrew also shares why brand and digital visibility matter more than ever, the growing importance of creators in AI-driven discovery, and practical advice for CMOs trying to stay ahead as search rapidly evolves.This episode is brought to you by Semrush — your unfair advantage in digital brand visibility. From fast-growing teams to global enterprises, Semrush shows you where you stand, where you can win, and how to stay visible across AI Search and LLMs. With unrivaled data and real AI intelligence, Semrush helps you move faster, grow faster, and make sure your brand is the answer wherever customers ask.Timestamps00:00 - Intro02:08 - How disruptive is AI for search in 2026?04:19 - Is SEO dead now because of AI?08:32 - Biggest surprises from Semrush's new AI Visibility Index Report11:04 - How different AI models treat different industries13:05 - Understanding how AI ranks different sources15:48 - Why content creators are important in the age of AI search18:35 - Why you need to be failing fast in AI21:10 - Why brand matters more in the age of AI24:20 - Why digital brand visibility matters so much26:28 - Advice for CMOs for getting on top of AI for search30:21 - Is AI just making decisions for us?33:19 - Why humanity, authenticity and emotion are more important than ever36:12 - What is Semrush One?

Julian Goldie discusses the transformative impact of AI on content creation, particularly in the realm of YouTube and SEO. He shares insights on how leveraging AI tools has significantly increased his video views and audience engagement. Julian emphasizes the importance of video as a cornerstone of modern marketing strategies and explains how to find trending topics using AI. He also highlights the value of building communities for monetization and the evolving landscape of digital marketing.Key TakeawaysAI has drastically changed the demand for content, especially in video.Leveraging AI tools can lead to exponential growth in audience engagement.Video content is essential for building trust and driving conversions.Creating content across multiple platforms enhances visibility and reach.AI can help identify trending topics quickly and efficiently.Building a community around your content can lead to increased monetization opportunities.Automation can save significant time for content creators and marketers.Using AI for video production can streamline the content creation process.Understanding platform algorithms is crucial for maximizing content reach.Networking with other entrepreneurs can provide valuable insights and opportunities.Chapters00:00 Leveraging AI Tools for Content Creation00:37 Transitioning from SEO to AI Content04:45 Understanding AI's Impact on Viewership08:56 The AI Profit Boardroom and Community Building11:18 Foundational Steps for Modern SEO12:42 The Power of Video in SEO Strategy14:31 AI Tools for Video Production18:04 Identifying Trending Topics with AI21:08 Leveraging Video for E-commerce Success22:28 Maximizing Content Distribution Across Platforms25:02 Building Communities with School26:15 Cultural Insights on Communication and Technology

Chris and Matt walk into a bar with an atheist sensemaker, an Ayurvedic Guru, and a Christian Apologist, and predictable frivolities ensue. Featuring not one but two good-natured, robust exchanges of opinion between our two hosts.The full episode is available to Patreon subscribers (1 hour, 42 minutes).Join us at: https://www.patreon.com/DecodingTheGurusSupplementary Material 39: Panpsychics, Sensemakers, and Bad Guys00:00 Introduction01:17 AI and the Music Industry05:34 Is Chris a Bad Guy?10:44 Vibe Physics with Travis Kalanick16:10 Efforts to Falsify and AI21:02 Gordon Pennycook with Sean Carroll: Vibes vs Analysis32:44 Libertarianism and Personal Beliefs35:10 A mini-debate on internal consistency42:49 Matt's Personal Philosophy44:16 Philosophical Feedback on the Sensemakers55:06 Atheist vs Christian vs Spiritual Thinker57:03 Dr. K's Role in the Discussion01:09:01 Alex's Stance on Purpose01:12:31 Dr. K's Perspective on Purpose01:23:45 Dr. K and the Atheist pose01:34:29 Philosophical Musings on Panpsychism01:41:18 OutroSourcesAngela Collier: Conspiracy physics and you (and also me)All In Podcast: Travis Kalanick talks about AI (July 11, 2025)333 | Gordon Pennycook on Unthinkingness, Conspiracies, and What to Do About ThemPennycook, G., Cheyne, J. A., Barr, N., Koehler, D. J., & Fugelsang, J. A. (2015). On the reception and detection of pseudo-profound bullshit. Judgment and Decision Making, 10(6), 549-563.The Diary of a CEO: Atheist vs Christian vs Spiritual Thinker: Is Not Believing In God Causing More Harm Than Good?!

In this episode, Peter and Leon, recording at the College of Intensive Care Medicine's Conference in Tasmania, Australia, discuss advancements in precision medicine with Dr. Pratik Sinha from Washington University in St. Louis. Dr Pratik trained in both Emergency and Intensive Care Medicine, but only works clinically as an intensivist. He runs a research program that seeks to change the way we identify and classify critically ill patients, by using a combination of novel biological measurements and state of the art data science approaches. The conversation delves into how critical care medicine currently operates, emphasizing the need to shift from supportive care to more personalized approaches using biological measuring systems, big data, and novel data science techniques. They discuss identifying patient subgroups using machine learning algorithms and protein biomarkers, revealing phenotypes like hyper and hypo-inflammatory responses. The discussion covers the practical challenges of implementing these technologies, the importance of rigorous testing, and the future implications for intensive care. The speakers highlight the necessity of prospective clinical trials and broader accessibility of these advanced diagnostic tools to improve patient outcomes.00:00 Introduction and Opening Remarks00:34 Diving into Precision Medicine01:35 Elevator Pitch for Medical Research02:10 Understanding Patient Complexity04:12 Biological Measurements and Data Science10:37 Challenges in Modern Medicine17:08 Future of Medical Research and AI21:20 Concluding Thoughts and Future Prospects

This episode is sponsored by Deel.Ensure fair, consistent reviews with Deel's calibration template. Deel's free Performance Calibration Template helps HR teams and managers run more equitable, structured reviews. Use it to align evaluations with business goals,reduce bias in ratings, and ensure every performance conversation is fair, consistent,and grounded in shared standards.Download now: www.deel.com/nickdayIn this episode of the HR L&D Podcast, host Nick Day explores how HR can use AI to become more strategic and more human. The conversation covers where AI truly fits in HR, what changes with the EU AI Act, and how leaders can turn time saved on admin into culture, capability, and impact.You will hear practical frameworks including a simple 4Ps plus 2 model for HR AI, human in the loop hiring, guardrails to reduce hallucinations, and a clear view on when AI must be 100 percent accurate. The discussion also outlines a modern HR operating model with always on self service, plus policy steps for ethical, explainable AI.Whether you are an HR leader, CEO, or L&D professional, this conversation will help you move from pilots to scaled adoption and build an AI ready organization. Expect actionable steps to improve employee experience, strengthen compliance, and unlock productivity and performance across your teams. 100X Book on Amazon: https://www.amazon.com/dp/B0D41BP5XTNick Day's LinkedIn: https://www.linkedin.com/in/nickday/Find your ideal candidate with our job vacancy system: https://jgarecruitment.ck.page/919cf6b9eaSign up to the HR L&D Newsletter - https://jgarecruitment.ck.page/23e7b153e700:00 Intro & Preview02:25 What HR Is For03:54 Why HR + AI Now06:19 AI as Augmentation07:43 HR AI Framework & Use Cases10:14 Guardrails: Hallucinations & Accuracy12:45 Guardrails: Bias & Human in the Loop16:58 Recruiting with AI21:01 EU AI Act for HR25:16 HR Team of the Future25:56 New HR Operating Model31:54 Tools for Culture Change35:35 Rethink Processes

This episode features Chidi Alams, CIO of Just Born — the company behind candy classics like Peeps, Mike and Ike, and Hot Tamales.Chidi shares how his team is using AI, automation, and smarter data systems to modernize operations, strengthen supply chain resilience, and double the business impact of technology. It's a conversation about what it really means to run IT like a growth engine — not just keeping the lights on, but driving strategy, efficiency, and innovation.Plus, much more:Chidi's take on “physical AI” in manufacturingHow the CIO role is evolving into a more strategic leadership positionWhy a values-driven tech culture might be the secret to long-term successWhether you're a CIO, IT leader, or simply curious about how AI and data are reshaping business, this episode delivers grounded, real-world insights. About the Guest: Chidi Alams, CIO at Just Born, Inc., is a transformation executive with a proven track record of leading strategic initiatives that drive operational excellence, organic growth, and digital innovation. His experience includes both Fortune 500 and private equity-backed companies.Timestamps:02:10 Transitioning Between Industries03:26 Role and Responsibilities of a CIO06:05 Business Transformation and Strategy08:12 Managing Peak Seasons and Supply Chain14:26 Leveraging Data and AI21:20 Talent Acquisition and Company Culture27:51 Future of Technology and CIO RoleGuest Highlights:“ A lot of how we ran the business, even during the peak season, was a tremendous amount of tribal knowledge. We can't scale based on tribal knowledge, right? So having data systems, particularly as we bring in new people into the organization, helps us to be more predictive and meet demand during peak season.”“ CIOs have to become more business centric.  When you look at what's happening in large enterprises, you're seeing a fragmentation of technology leadership.  I do believe that there will be a convergence at some point.”“ I'm extremely interested and have been tracking what I think is a very important trend, not just in CPG but in retail and any consumer space — even pharma — and that is how can we leverage large language models that are trained for CPG to help drive product innovation. It's already happening.”Get Connected:Chidi Alams on LinkedInYousuf Kahn on LinkedInIan Faison on LinkedInHungry for more tech talk? Check out past episodes at ciopod.com: Ep 61 - What Manufacturing Can Teach You About Scaling Enterprise AIEp 60 - Why the Smartest CIOs Are Becoming Business StrategistsEp 59 - CIO Leadership in AI Security and InnovationLearn more about Caspian Studios: caspianstudios.com Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

You can't build great products on gut instinct, and yet, according to IBM's global study of 1,000 enterprises, 77% of organisations using generative AI aren't seeing any financial benefit. In this episode on The Product Experience podcast, Lily Smith sits down with Matthew Certner, Digital Product Engineering and Design Partner at IBM, to unpack the four key traits that drive ROI in AI-powered product teams: flexibility, incremental and targeted delivery, data-led decisions, and cross-functional collaboration. Recorded live at the Industry conference, this conversation offers practical lessons for any product leader navigating the hype and reality of AI adoption. Chapters00:00 – The danger of building on gut instinct00:37 – IBM's global study on generative and agentic AI adoption01:00 – Meet Matthew Certner, Digital Product Engineering Partner at IBM02:00 – Why most enterprises aren't realising ROI from AI04:50 – What the top-performing 20% of companies do differently05:10 – The four key behaviours driving success07:00 – Flexibility: adapting quickly to market feedback08:10 – Incremental and targeted delivery — the “golden thread” principle10:30 – Data-led decision-making versus the HIPPO effect11:45 – Cross-functional collaboration and robust adoption13:10 – Behavioural factors that make or break AI adoption14:20 – Inside IBM's “value orchestration” framework15:10 – The Golden Thread in practice — a sticky-note story from Dallas17:10 – Transparency and traceability in product development18:00 – How IBM helps teams that aren't seeing value from AI21:00 – The paradox of moving too fast or too slow with AI24:00 – Making the Golden Thread a living document25:20 – Inside IBM Garage: speed of a startup, scale of an enterprise27:40 – Why productivity savings, not hype, drive AI ROI29:00 – How large organisations structure innovation teams30:00 – The future: 800 million new products by 202631:00 – Why 95% will fail — and what the 5% will get right33:10 – Final reflections: value, purpose and the human elementFeatured Links: Follow Matthew on LinkedIn | IBM Garage | Industry Conference Cleveland 2025 recap at Mind The ProductWe want to hear from you! Help make The Product Experience podcast even better. Share your feedback in a quick form: Share your thoughts here! It takes 2 minutes, and your input will help shape future episodes.

Ever felt like life knocked you flat just as things were going great? Dar Holdsworth knows that story well. From doing multi-million-dollar signage deals to building award-winning custom motorcycles for celebrities — then losing everything and starting over — Dar's entrepreneurial journey is anything but straight. In this episode, Tyler Jorgenson and Dar dig into what it really takes to reinvent yourself, spot new opportunities, and keep moving forward even when your first (or second… or third) business doesn't go as planned.Whether you're riding the highs of business growth or rebuilding after a major setback, Dar's story is a masterclass in grit, curiosity, and knowing when to pivot.What You'll LearnThe unexpected push that got Dar to launch his first businessHow losing his biggest client — and going through a divorce — forced a total resetLessons from building custom motorcycles and scaling product sales onlineThe key difference between being great at your craft and running a profitable companyHow discovering funnels (and a free + shipping offer) changed everythingWhy Dar now helps other entrepreneurs launch AI SaaS businesses that scaleChapters00:00 Introduction to Dar Holdsworth02:07 The Entrepreneurial Journey Begins05:09 Overcoming Early Obstacles09:03 Transitioning to Custom Motorcycles12:02 Lessons from the Motorcycle Business17:04 The Shift to SaaS and AI21:00 Navigating Challenges in the Chiropractic Niche24:54 Current Ventures and Future Aspirations

יואב שוהם הוא פרופסור אמריטוס למדעי המחשב באוניברסיטת סטנפורד ומהמוחות הבולטים של עולם הבינה המלאכותית. הוא השלים תואר ראשון במדעי המחשב בטכניון, ודוקטורט במדעי המחשב מאוניברסיטת ייל. לאחר תקופת פוסט-דוקטורט במכון ויצמן למדע, פרופ׳ שוהם לימד באוניברסיטת סטנפורד עד לשנת 2015. לאחר מכן הקים מספר חברות שנמכרו, בין השאר לגוגל, וכיום מוביל את חברת AI21, שהיא ממספר קטן מאוד של חברות ישראליות שנמצאות יחסית בקדמת הבמה בכל הנוגע לאינטליגנציה מלאכותית בעולם.   נותני החסות לפרק: הפרק בחסות חברת Cato Networks הפרק עם ישי יובל מקייטו האימייל של ראם

Erik Wikander, VD och medgrundare på Wilgot, gästar podden Framtidens E-Handel och ​​pratar om hur AI och ChatGPT:s nya köpknapp förändrar hela spelplanen för sök, annonsering och produktrelevans. Varför företag nu måste riva upp sina gamla planer och tänka om helt. Vi pratar om hur relevans ersätter budget som nyckeln till synlighet, varför SEO är dött, hur små varumärken får en ny chans att vinna globalt, och hur produkter, data och kultur blir avgörande för att lyckas i den nya eran av AI-styrd handel.03:08 – E-handlare måste riva upp planerna och börja om05:08 – SEO är dött – AI går direkt på produkterna06:04 – Tre nycklar: produktfokus, styrelseengagemang och relevans10:42 – AI:s snabbhet och faktiska nytta – ”pistolen mot tinningen”13:24 – Den toxiska cocktailen: organisk trafik på väg att försvinna16:27 – Kategorier som gynnas och drabbas mest av AI21:08 – Marketplaces får det tufft – D2C-brands vinner på relevans26:12 – Relevans ersätter budget – slutet för klassisk annonsering35:32 – AI som optimerar hela produktkataloger på några minuter40:55 – Kulturell relevans – hur svenskt kaffe inte funkar globalt49:12 – All tidigare SEO-kunskap kan kastas – fokus på produkt och kund54:07 – AI gör marknaden rättvis – den bästa produkten vinner01:03:55 – ”Lyft AI till styrelsenivå – det är nu resan börjar”Här hittar du Erik & Wilgot:https://www.linkedin.com/in/erikwikander/ https://www.wilgot.ai/ Sponsor:https://beyondretail.se/ Följ Björn på LinkedIn:https://www.linkedin.com/in/bjornspenger/ Följ Framtidens E-handel på LinkedIn:https://www.linkedin.com/company/framtidens-e-handel/ Besök vår hemsida, YouTube & Instagram:https://www.framtidensehandel.se/ https://www.instagram.com/framtidens.ehandel/ https://www.youtube.com/channel/UCEYywBFgOr34TN8NtXeL5HQPoddproducent och klippare Michaela Dorch & Videoproducent Fredrik Ankarsköld:https://www.linkedin.com/in/michaela-dorch/ https://www.linkedin.com/in/ankarskold/ Tusen tack för att du lyssnar!Support till showen http://supporter.acast.com/framtidens-e-handel. Hosted on Acast. See acast.com/privacy for more information.

In this episode of The Teacher Think-Aloud Podcast, we sit down with Sara Davila, a self-described “learning alchemist,” to explore how artificial intelligence is reshaping education. With her trademark mix of research, theory, and classroom pragmatism, Sara takes us on a journey from the evolution of AI and deep learning to the practical ways teachers can use large language models (LLMs) today.Together, we dig into questions educators everywhere are asking: What exactly can AI do for teachers? How can we use it responsibly? And what frameworks can guide us as we experiment and adapt? Sara shares practical applications—from using AI as a personal assistant to update lesson plans, to managing schedules and streamlining teacher workflows. She also addresses the ethics of AI, the role of professional development, and why experimentation and play are essential in this new era.

Artificial Intelligence is moving fast but how do you regulate it in industries where precision and risk management are everything?In this episode of Let's Combinate, Subhi Saadeh sits down with Dominick Romano, founder of Drainpipe.io, to unpack the future of AI in pharma, medtech, and drug/device regulation. The conversation goes deep into how AI could reshape dossier preparation, regulatory submissions, and quality oversight — and what strategies regulators and companies need to make sure speed doesn't come at the cost of trust.We explore:- Why pharma's unique risk profile makes AI regulation different from other industries-How ICH guidelines and process validation can be applied to AI systems-What “combinatorial problem sets” mean for pharma and AI models-The role of AI in regulatory affairs and dossier preparation-How regulators may use AI to accelerate reviews and approvals-The balance between speed, accuracy, and zero hallucinations in regulatory contexts-The future of AI in quality control, biologics, and beyondIf you work in pharma, medtech, or drug/device combination products, this episode will give you a clear look at how AI could change your world and what needs to happen before it earns the regulator's trust.Episode Chapters00:00 Introduction: Regulating AI in Pharma/MedTech01:01 Pharma's Unique Risk Profile02:14 AI in Regulatory Affairs03:44 Combinatorial Problem Sets in Pharma04:24 ICH Guidelines and AI Regulation08:22 Process Validation in AI10:20 AI in Regulatory Submissions15:54 Ensuring Accuracy and Consistency17:02 Regulatory Agencies and AI18:28 Accelerating Drug Approval with AI21:36 Time Savings in Dossier Formation25:44 AI in Quality Control for Biologics27:42 Challenges in AI Integration29:25 The Future of Pharma & MedTech with AI30:40 Where to Find Dominick RomanoDominick Romano is the founder and CEO of Drainpipe.io, focused on building trustworthy AI systems for regulated industries like pharma and medtech. A graduate of Full Sail University in video game development, his career spans game design, programmatic advertising, and voice applications before moving into AI. He was named one of Technology Innovators' Top 50 AI CEOs and has contributed to global initiatives such as the WHO/ITU AI for Health program. Today, he helps organizations explore how AI can be validated and integrated without compromising compliance or trust.Subhi Saadeh is a Quality Professional and host of Let's Combinate. With a background in Quality, Manufacturing Operations and R&D he's worked in Large Medical Device/Pharma organizations to support the development and launch of Hardware Devices, Disposable Devices, and Combination Products for Vaccines, Generics, and Biologics. Subhi serves currently as the International Committee Chair for the Combination Products Coalition(CPC) and as a member of ASTM Committee E55 and also served as a committee member on AAMI's Combination Products Committee.For questions, inquiries or suggestions please reach out at letscombinate.com or on the show's LinkedIn Page.

In this powerful SaaS Fuel episode, Jeff Mains sits down with Kasim Aslam – founder of 3X Freedom and former owner of the world's #1 ranked Google Ads agency, Solutions 8 – to unpack the real truth about building scalable SaaS businesses in a post-AI world.From scaling with pro talent and unlocking global teams to solving traffic first, Kasim brings tactical wisdom and hard-hitting insights that every founder needs to hear.You'll learn:Why your first business problem is attention, not operationsHow to build a community-first traffic engineThe new rules of hiring and why average employees are liabilitiesWhy direct mail is outperforming Google Ads in some verticalsThe formula to scale with high expectations and zero micromanagementWhether you're stuck on lead gen or overwhelmed by growth, this conversation will reset your SaaS growth mindset.Key Takeaways00:00 - Why Kasim's recruiting agency brings him to tears01:00 - Global hiring creates societal impact02:25 - SaaS Fuel intro + The Captain's Keys book04:00 - Solving for traffic before anything else06:00 - How Google & Meta changed the game on traffic09:00 - Build community first: the real traffic moat10:30 - Why direct mail is Kasim's secret weapon14:00 - Do what doesn't scale — and win15:15 - Passive income myths & the 20/80 reality18:00 - Why pro talent is your ONLY edge in AI21:00 - Pay top dollar or pay the price25:00 - Real stories: $400/month to $9K/month27:00 - The ethical way to scale with international talent30:00 - Impact + profit can coexist34:00 - Why scaling dilutes quality, and how to lead through it38:00 - Kasim's step-by-step hiring flytrap funnel43:00 - Authorship = Ownership: Give employees the black box47:00 - Masterminds are dead—incubators are the future50:00 - Action beats education every time55:00 - Kick the ball: A soccer mindset for SaaS foundersTweetable Quotes“Solve for traffic first. If you can't predictably get attention, you don't have a business.” — Kasim Aslam“Community-based traffic is the most powerful and scalable source of growth.” — Kasim Aslam“There's nothing more expensive than a cheap employee.” — Kasim Aslam“Do the things that don't scale. That's where all the leverage is.” — Kasim Aslam“AI doesn't eliminate the need for humans. It amplifies the value of great ones.” — Kasim Aslam“Stop managing. Give people the end result and get out of their way.” — Kasim AslamSaaS Leadership LessonsSolve for Traffic First – If you can't predictably attract customers, you don't have a business—just a hobby.Direct Mail Isn't Dead – In an AI-saturated world, old-school methods like direct mail can outperform digital ads.Community is the New Funnel – Build or borrow trust through niche communities before launching any product.Only Hire Pro Talent – Average employees don't scale well. In an AI world, B-players are liabilities.Pay More, Get More – The highest-paid talent delivers exponential output, not incremental.Do the Things That Don't Scale – Human touch, personalized experiences, and offline tactics create differentiation.Guest ResourcesEmail - kasim@3xfreedom.comWebsite - http://paretotalent.com/FB -

SummaryATX DAO OG and founding podcast host Nick Casares returns for a wide-ranging conversation about how generative AI is reshaping creativity, startups, and the future of work. Drawing from his experience in early-stage investing and product development, Nick breaks down how new tools are enabling solo founders and small teams to move faster than ever. The crew debates whether AI tools make us lazy or unlock new layers of human potential, and where the next billion-dollar ideas are likely to emerge.From vibe coding to agentic systems, from the death of UI to the blurred lines between centralized and decentralized infrastructure, this episode covers the philosophical and practical shifts happening right now. If you've been wondering what happens when junior roles disappear, or how creative thinkers can win in a world dominated by machines, this one's for you.Chapters00:00 Navigating the AI Landscape04:58 Web3 and the Evolution of Loyalty Programs10:33 AI as a Creative Partner16:50 Accelerating Product Development with AI21:47 The Dystopian Future of AI26:21 The Evolution of Job Roles in an AI World30:33 Navigating the New Startup LandscapeConnect with Nick on X (Twitter): ⁠⁠@nickcasaresCheck out our friends at Tequila 512:Website: ⁠⁠⁠⁠⁠⁠⁠https://www.tequila512.com⁠⁠Socials: ⁠⁠X (Twitter)⁠⁠ | ⁠⁠Instagram⁠⁠ | ⁠⁠TikTok⁠⁠ | ⁠⁠Facebook⁠To learn more about ATX DAO:Check out the ⁠ATX DAO ⁠websiteFollow ⁠@ATXDAO⁠ on X (Twitter)Subscribe to our newsletterConnect with us on ⁠LinkedIn⁠Join the community in the ⁠ATX DAO Discord⁠Connect with the ATX DAO Podcast team on X (Twitter):Ash:  ⁠@ashinthewild⁠Luke: ⁠⁠⁠⁠⁠@Luke152⁠⁠⁠⁠⁠Support the Podcast:If you enjoyed this episode, please leave us a review and share it with your network.Subscribe for more insights, interviews, and deep dives into the world of Web 3.

AI is changing everything in marketing. Targeting, measurement, creative, content, budgets, optimization ... everything.In this Growth Masterminds host John Koetsier welcomes Lior Elden, COO of Moburst. They chat about how AI is revolutionizing the landscape of mobile marketing. Learn about the latest integrations of AI with cloud systems that allow marketers to directly interact with their data, addressing questions like campaign effectiveness, ad performance, and creative longevity. Dive into stimulating conversations on the role of AI in analysis, creative messaging, content creation, budget optimization, and targeting. Discover insights on customized AI applications, the evolving measurement ecosystem, and the exciting potential of personalized marketing strategies. Don't miss this comprehensive overview of how AI is shaping the future of mobile marketing.00:00 Introduction: The Impact of AI on Mobile Marketing00:31 The Shift in Search Behavior Due to AI01:23 Optimizing Marketing Strategies with AI02:20 AI in Campaign Analysis and Data Democratization09:21 Creative Uses of AI in Marketing13:00 AI-Driven Messaging and Content Creation18:19 Budget Optimization with AI21:26 Targeting and Audience Segmentation with AI25:09 The Future of AI in Marketing Teams27:44 Conclusion: Getting Started with AI in Marketing

Check out my newsletter at TKOPOD.com and join my new community at TKOwners.com.This is part 1 of a two-part episode, come back next week for part 2.I sat down with Michael Girdley (https://x.com/girdley) and we went back and forth pitching business ideas like it was a game show. Michael came loaded with a list of 15 ideas, and we talked through each one, from a browser plugin that detects AI-generated content to an AI that replaces $10K/day EOS consultants. We also got into fun and low-cost offline businesses like old-timey photo booths and gold-panning kiosks for malls, plus more strategic plays like a marketplace for forgotten businesses and a fund that offers minority buyouts to small business owners. We even explored how to reimagine EOS from the ground up to be fully AI-first. Lots of laughs, lots of frameworks, and tons of real opportunity in this one.You can find Michael on X at https://x.com/girdley or at https://girdley.comTimestamps below. Enjoy!---Watch this on YouTube instead here: tkopod.co/p-ytAsk me a question on or off the show here: http://tkopod.co/p-askLearn more about me: http://tkopod.co/p-cjkLearn about my company: http://tkopod.co/p-cofFollow me on Twitter here: http://tkopod.co/p-xFree weekly business ideas newsletter: http://tkopod.co/p-nlShare this podcast: http://tkopod.co/p-allScrape small business data: http://tkopod.co/p-os---00:00 AI's Impact on Business and EOS Implementation02:56 Exploring Innovative Business Ideas05:50 The Role of AI in Content Authenticity09:10 Nostalgia and Experiential Businesses12:05 Minority Investments in Small Businesses14:54 Creating a Marketplace for Distressed Businesses18:12 Reimagining EOS with AI21:06 The Future of Business Automation

In this episode of 'Leading Human,' host Chad Prevost welcomes co-hosts Allan Davis and Shelley Prevost for a wide-ranging discussion on artificial intelligence. They delve into AI's current trajectory, its potential to displace jobs, and how individuals can prepare for this evolving landscape. The conversation spans from personal anecdotes to deeper reflections on societal changes, the need for emotional readiness, and the future of work in an AI-driven world. The episode also explores the technological optimism and the importance of authenticity and community in navigating these transformative times.00:05 Introducing the Co-Hosts01:41 Vacation Stories and Updates03:54 AI Developments and Industry Impact06:41 Future of Jobs and AI12:45 Hollywood Disruption and AI15:38 Advice for the Next Generation20:02 Reflecting on the Futility of Jobs20:24 Practical Steps for Lawyers and AI21:01 Building with AI Tools21:36 Macro and Micro Perspectives on AI23:16 The Role of Communication in Crises26:04 The Future of Money and Scarcity30:03 Hyper Individuality and AI35:20 AI in Education and Constraints for Children37:25 Concluding Thoughts on AI and SocietyWant a communication and wellbeing workshop that actually sticks? Whether you're building trust or leveling up team accountability, we've got you. Book your custom team training via the link here.

SummaryIn this episode of the Gird Up Podcast, host Charlie Ungemach interviews JonAlden Pedersen about the implications of artificial intelligence (AI) in ministry and society. They discuss the definition of AI, its principles of use, and how it can serve as a tool for enhancing church work. The conversation also addresses concerns about AI replacing jobs, the fears surrounding its impact, and the importance of using AI responsibly within a Christian context. Ultimately, they emphasize that while AI can be a powerful tool, it should not overshadow the human element in ministry and community building. In this conversation, Jon Alden Peterson and Charlie Ungemach explore the multifaceted applications of AI in everyday life, particularly in research, learning, and church ministry. They discuss the importance of effective prompting, transparency in AI usage, and the potential for AI to enhance community engagement within the church. The dialogue emphasizes the need for ethical considerations and the integration of technology with traditional values, ultimately aiming to leverage AI for positive outcomes in personal and communal contexts.Chapters00:00 Introduction to Gird Up Podcast01:10 Exploring Artificial Intelligence03:34 Defining Artificial Intelligence09:14 Principles of AI Usage12:03 AI as a Tool for Ministry14:14 AI's Impact on Employment18:31 Addressing Fears of AI21:23 The Role of AI in the Church25:16 Practical Applications of AI32:26 Harnessing AI for Everyday Tasks35:54 AI as a Research Assistant36:51 Learning New Skills with AI37:18 Transparency and Ethical Use of AI38:15 Effective Prompting Techniques43:34 Building a Conversational Relationship with AI47:34 The Future of AI in Ministry50:52 Creating a Positive Online Community56:49 Leveraging AI for Church Engagement01:00:07 Integrating Tradition with TechnologyJon's Links:https://www.facebook.com/jonny.pedersen.524https://www.instagram.com/jonaldendelmer/Wisconsin Lutheran Seminary Essay File: https://www.wisluthsem.org/resources/essay-files/Gird Up Links:https://youtube.com/@girdupministries4911?si=tbCa0SOiluVl8UFxhttps://www.instagram.com/girdup_be_a_man/https://www.girdupministries.com Hosted on Acast. See acast.com/privacy for more information.

In this insightful episode of the Events Demystified Podcast, host Anca Platon Trifan discusses the transformative power of AI in event marketing and strategy with technology strategist David Hirschfeld, founder of Tekyz. They explore the integration of AI into event planning, including how AI can enhance attendee engagement, streamline operations, and ensure ROI. Hirschfeld shares his expertise on AI-driven analytics, predictive modeling, and personalized marketing strategies. Together, they also delve into practical applications of AI, addressing common challenges faced by event professionals, and envision the future of AI in the event industry. Whether you're an event planner, marketer, or entrepreneur, this episode provides valuable insights into utilizing AI to shape the future of your events and business.

On this episode of the Best Ever CRE Show, Joe Fairless interviews AI-savvy investors Paul Hopkins, Perry Zheng, Lance Pederson, and Bo Barron to explore how artificial intelligence is reshaping commercial real estate acquisitions. The panel shares practical tools—like Google's Notebook LM, ChatGPT, AI21, and Claude—and strategies for deal analysis, underwriting, parsing PDFs, and even creating custom GPTs to automate offering memorandum reviews. They discuss how AI streamlines market research, transforms spreadsheets into semantic data, and helps underwrite deals more accurately and efficiently, while also acknowledging its limits in replacing human decision-making and deal sourcing relationships. Paul Hopkins COO and Partner https://cpicapital.ca/ Perry Zheng Founder and CEO https://www.cashflowportal.com/ Lance Pederson CEO and Co-Founder https://www.passiveadvantage.com/ Bo Barron CEO https://barroncommercial.com/ vikingcapllc.com Join the Best Ever Community  The Best Ever Community is live and growing - and we want serious commercial real estate investors like you inside. It's free to join, but you must apply and meet the criteria.  Connect with top operators, LPs, GPs, and more, get real insights, and be part of a curated network built to help you grow. Apply now at www.bestevercommunity.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Leveraged loans combined with treasuries create a solid strategy for navigating today's fixed income market. These two asset classes work like a peanut butter and jelly sandwich, balancing each other out—leveraged loans shine when interest rates rise, while treasuries thrive when rates drop. In our chat today with David Giroux, portfolio manager at T. Rowe Price, we dive into how this mix helps manage risk and enhance returns in uncertain market conditions. Giroux shares his insights on the current investment landscape, emphasizing the importance of evaluating management quality and capital allocation strategies. Join us as we unpack these ideas and explore what they mean for the future of investing.-----50 YEARS OF TREND FOLLOWING BOOK AND BEHIND-THE-SCENES VIDEO FOR ACCREDITED INVESTORS - CLICK HERE-----Follow Niels on Twitter, LinkedIn, YouTube or via the TTU website.IT's TRUE ? – most CIO's read 50+ books each year – get your FREE copy of the Ultimate Guide to the Best Investment Books ever written here.And you can get a free copy of my latest book “Ten Reasons to Add Trend Following to Your Portfolio” here.Learn more about the Trend Barometer here.Send your questions to info@toptradersunplugged.comAnd please share this episode with a like-minded friend and leave an honest Rating & Review on iTunes or Spotify so more people can discover the podcast.Follow Alan on Twitter.Read more about David here.Episode TimeStamps: 02:20 - Introduction to David Giroux and T. Rowe Price09:00 - Are mostly sectors overvalued?11:43 - What has driven the change in valuations?13:48 - How Giroux determines how much risk to allocate in markets18:19 - The outlook for equity returns and Giroux stance on AI21:42 - The relationship between market meltdowns and interest rates23:29 - Giroux's outlook for inflation28:32 - How Giroux uses his past experience to predict markets31:37 - How Giroux constructs stock portfolios35:35 -...