Podcasts about workflows

Join Elevated GP: www.theelevatedgp.com Net32.com  Follow @dental_digest_podcast Instagram Follow @dr.melissa_seibert on Instagram In this episode of Dental Digest, Dr. Melissa Seibert sits down with Dr. Kim Schlam, prosthodontist and Spear Education faculty member, to explore how thoughtfully integrated digital workflows can transform clinical practice. Dr. Schlam shares her journey from traditional analog techniques to leveraging digital tools like intraoral scanning, photogrammetry, and in-house printing, emphasizing not just efficiency but also precision and predictability. She highlights how these technologies—when paired with intentional delegation and structured team roles—streamline data collection, improve patient onboarding, and reduce chair time, all while maintaining a focus on aesthetics and patient-centered outcomes. A central theme of the conversation is collaboration—both within the dental team and across specialties. Dr. Schlam describes the power of “co-discovery,” using visual tools such as full-face photography and SmileCloud's AI-driven smile design to engage patients in their own treatment planning. She also details how cloud-based platforms enhance interdisciplinary communication with surgeons, orthodontists, and lab technicians, ensuring alignment from diagnosis through execution. Listeners will come away with practical insights into how digital workflows can elevate dentistry beyond technology for its own sake, serving instead as a catalyst for better communication, stronger teamwork, and superior patient care.  

Want to Start or Grow a Successful Business? Schedule a FREE 13-Point Assessment with Clay Clark Today At: www.ThrivetimeShow.com   Join Clay Clark's Thrivetime Show Business Workshop!!! Learn Branding, Marketing, SEO, Sales, Workflow Design, Accounting & More. **Request Tickets & See Testimonials At: www.ThrivetimeShow.com  **Request Tickets Via Text At (918) 851-0102   See the Thousands of Success Stories and Millionaires That Clay Clark Has Helped to Produce HERE: https://www.thrivetimeshow.com/testimonials/ Download A Millionaire's Guide to Become Sustainably Rich: A Step-by-Step Guide to Become a Successful Money-Generating and Time-Freedom Creating Business HERE: www.ThrivetimeShow.com/Millionaire   See Thousands of Case Studies Today HERE: www.thrivetimeshow.com/does-it-work/  

Riley Hill joins Tim Chaten to discuss the September 2025 Apple event this includes the AirPods Pro 3, Apple Watch Series 11, Apple Watch SE 3, Apple Watch Ultra 3, iPhone 17, iPhone Air, and iPhone 17 Pro. You can watch the live recording on YouTube here: https://www.youtube.com/live/9I-KM-NH5xY?si=dQwrd21KKNqHpNOs(No chapter markers this week)Early episodes with chapter markers are available by supporting the podcast at www.patreon.com/ipadpros. Early episodes are also now available in Apple Podcasts!Show notes are available at www.iPadPros.net. Feedback is welcomed at iPadProsPodcast@gmail.com. Hosted on Acast. See acast.com/privacy for more information.

Join me as I chat with Rowan Cheung about how he uses practical AI workflows that help his small team at The Rundown operate like a much larger organization. He demonstrates how they use AI for content creation (including AI avatars and writing assistance), business operations (meeting scheduling and email management), and team efficiency (onboarding and research). Each workflow includes specific tools, prompts, and implementation strategies that listeners can adopt for their own businesses. Timestamps: 00:00 - Intro 02:53 - 1) AI avatars for content creation 13:56 -2) AI Tweet Generator 19:27 - 3) AI Newsletter Editor 22:53 - 4) Lindy AI Agent Personal Assistant 30:01 - 5) Perplexity AI Tutor 34:01 - 6) New Hire Onboarding GPT 37:32 - 7) Email Manager/Sponsorship Finder AI Agent Key Points • Rowan uses AI avatars (HeyGen + 11Labs) to create short-form video content, showing only the avatar briefly while using B-roll for most of the video • Voice dictation combined with Claude AI trained on personal writing style creates Twitter/social media content that's "90% ready" • Lindy AI serves as a meeting scheduling agent that works 24/7 without requiring Calendly links • Perplexity Comment functions as an AI tutor for YouTube videos, allowing users to ask questions about video content • Custom GPT for new hire onboarding eliminates repetitive questions by containing company SOPs, policies, and team information The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ Boringmarketing - Vibe Marketing for Companies: boringmarketing.com  The Vibe Marketer - Join the Community and Learn: thevibemarketer.com Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.skool.com/startupempire/about FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg  Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND ROWAN ON SOCIAL The Rundown: https://www.therundown.ai X/Twitter: https://x.com/rowancheung Instagram: https://www.instagram.com/rowancheung/

The Big Unlock · Michael Docktor, MD, Co-founder and CEO of Dock Health In this episode, Dr. Michael Docktor, Co-founder and CEO at Dock Health, shares his journey from being a pediatric gastroenterologist at Boston Children's Hospital to building a healthcare technology company. Inspired by his sister's medical experiences and his family's design background, Dr. Doctor combined medicine, design, and technology to address inefficiencies in operational workflows, particularly the administrative burdens that weigh heavily on providers and staff. Dr. Docktor explains how Dock Health was created to serve as a productivity platform for healthcare, filling the gap between electronic health records (EHRs) and the countless administrative tasks not supported by them. By digitizing and streamlining processes like referrals, patient intake, and care coordination—often still managed through faxes, emails, and spreadsheets—Dock Health aims to reduce redundancy, improve visibility, and enhance the overall user experience for healthcare organizations of all sizes. The conversation also focuses on the role of AI and automation in transforming healthcare operations. Dr. Docktor highlights Dock Health's “AI‑first” approach, incorporating generative AI and agentic models to automate routine tasks while keeping humans in the loop for oversight. He envisions a near future where administrative inefficiencies are largely eliminated, giving clinicians more time with patients. Dr. Docktor also describes AI as the “big unlock” that could massively reduce the trillions wasted annually in healthcare administration, making care more efficient, accessible, and patient‑centered. Take a listen.

Eine individualisierte Diagnose ermöglicht Krebspatient:innen eine effektive und schonende Therapie. Doch obwohl die Biotech-Forschung in den letzten Jahren immer wieder große Durchbrüche erzielt hat, kommt davon im Kliniklabor oft nur wenig an - oder viel zu spät. Unsere heutige Gesprächspartnerin, Molekularbiologin und Unternehmerin Dr. Christina Port, hat sich am Anfang ihrer Gründungsreise die Frage gestellt, wie sie diese Lücke zwischen Forschung und klinischer Anwendung schließen kann. Mit ihrem Startup 2NA FISH entwickelte sie eine Plattform, die RNA-Veränderungen im räumlichen Gewebekontext sichtbar macht und so eine differenzierte Diagnose und Behandlung ermöglicht. In der Forschung ist der Ansatz bereits seit Jahren etabliert – doch fehlte es bisher an Verfahren, die ohne teure Spezialgeräte auskommen. Mit KI-unterstützer DNA-Nanotechnologie macht 2NA FISH die Cutting-Edge-Methode jetzt auch für Kliniken erschwinglich. Für diesen Ansatz wurde das Startup bereits mehrfach prämiert, unter anderem mit dem Gründungspreis des Bundeswirtschaftsministeriums. In dieser Podcast-Folge erfahrt ihr, wie aus jahrelanger Laborarbeit ein marktreifes Produkt erwachsen ist und warum die Gründerin auf klare Workflows und frühe Nutzerintegration setzt. Port berichtet von ihrer Entscheidung, auf eine akademische Karriere zu verzichten, und wie sie es geschafft hat, mit Unsicherheit umzugehen. Wir sprechen auch über praktischen Themen der Unternehmensgründung: Funding, Förderprogramme und die Frage, wie man ein Team nicht nur richtig stafft und führt, sondern auch bei Laune hält. Wer wissen will, wie Deep Tech mit ganz viel Expertise, Mut und einer Prise Zufall in echten Patientennutzen übersetzt wird, sollte unbedingt reinhören. Unsere neue Folge bietet eine spannende Mischung aus wissenschaftlicher Tiefe und authentischer -Gründerinnen-Erfahrung.

In this episode, AHEE shares his creative process, sound design insights, Serum tips, and how he's evolved his mixing templates. He opens up about AI tools in production, songwriting techniques that elevate a track beyond “weird sounds,” and balancing his passion for education with a hectic tour life. AHEE is a bass music producer known for his intricate sound design, high-energy tracks, and educational YouTube tutorials, which recently hit over 2.5 million views. With releases on Bassrush, Wakaan, Subsidia, and more, he's supported by heavyweights like Excision and Subtronics. Beyond the stage, he's become a mentor to thousands of producers through his Ableton racks, tutorials, and sound packs.Follow AHEE:https://www.instagram.com/iamaheehttps://gumroad.com/aheehttps://soundcloud.com/aheehttps://www.youtube.com/channel/UCNNFPGqrCztLAlfTKIJ1uKQVisit Ableton's U.S. headquarters November 9th, 2025 for a live podcast & private networking experience:https://www.abletonpodcast.com/sunday-abletonevent-2025Quickly grow your skills and learn with Abe, the Ableton AI Chatbot:https://www.abletonpodcast.com/ableton-chatbotJoin the newsletter to get free Ableton content + early episode access:⁠⁠⁠https://www.abletonpodcast.com/newsletter

We convinced two brilliant minds to argue opposite sides of one of the most controversial topics in real estate! What happens when you take a commonly held belief in the industry and get two brilliant minds to defend positions they might not even believe? Welcome to EDGE CASE – where we test assumptions and expose what people REALLY think. TODAY'S BIG QUESTION: "Do star agents deserve special treatment, even if it ruffles feathers?" THE TWIST: They flipped a coin to decide who would argue which side. One of them is arguing AGAINST their actual beliefs. You won't know who until the "truth reveal" at 45:00. IN THIS ROUND Dom "The Dominator" Thurbon – World top 10 debater, sold his company to EY, PM One Conference MC. Fiona Blayney – 30-year industry veteran who's pretty much seen it all, creator of PM One Conference. WHY EDGE CASE EXISTS: We're here to challenge traditional thinking in an era of disruption and change. Each Edge Case episode takes a controversial statement that the industry whispers about but never properly debates. We convince brilliant minds to argue BOTH sides – expanding how we all think about the biggest challenges facing property. This is intellectual combat designed to make the entire industry smarter. THE FORMAT:  Round 1: Opening arguments Round 2: Cross-examination Round 3: Evidence bombs Round 4: Direct confrontation Round 5: Rebuttals Round 6: TRUTH REVEAL (they drop the act)  VOTE: Should YOUR million-dollar agents get million-dollar treatment? Cast your vote in Monday's Elite Agent Brief (thebrief.eliteagent.com) SUBSCRIBE: For more Edge Cases coming your way. Connect with Dom Thurbon Website: www.domthurbon.com and www.alchemylabs.net LinkedIn: www.linkedin.com/in/dominic-thurbon-95b56836/ Connect with Fiona Blayney Website: www.realplus.com.au and pm1.com.au LinkedIn: www.linkedin.com/in/fionablayney/ Join Fiona Blayney and Dom Thurbon at the PM One Conference in Sydney! Get your tickets here: www.pm1.com.au Chapters Chapters 00:00:00 Introduction: Should your million dollar agents get million dollar treatment? 00:00:38 Meet the Host and Debaters 00:05:28 Debate Setup: Choosing the Controversial Topic 00:09:37 Opening Statements: Affirmative vs. Negative 00:15:10 Round 2: Question Time and Clarifications 00:24:44 Round 3: Data, Evidence, and Industry Research 00:30:55 Rapid Fire Scenarios and Real-World Dilemmas 00:36:50 Truth Reveal: What Do They Really Think? 00:44:21 Leadership Advice and Sustainable Team Performance 00:49:31 Closing Thoughts Discover More From Elite Agent & Samantha McLean Join the Spark Community for Innovation in Real Estate: https://spark.eliteagent.com Sign up for The Brief for Daily Real Estate News: https://thebrief.eliteagent.com Explore AI Tools, Prompts and Workflows for Real Estate: https://aipoweredagents.com Connect with Elite Agent on Socials Instagram: @eliteagentmag Twitter/X: https://x.com/eliteagentmag Linkedin: https://www.linkedin.com/company/eliteagentmag/ #EliteAgent #ThoughtLeaders #RealEstateAI #PropertyTech #AustralianRealEstate #FionaBlayney #DomThurbon #PMOne #EdgeCase #RealEstateManagement

Episode 138: In this episode of Critical Thinking - Bug Bounty Podcast We're talking Caido tools and workflows. Justin gives us a list of some of the Caido tools that have caught his interest, as well as how he's using them.Follow us on twitter at: https://x.com/ctbbpodcastGot any ideas and suggestions? Feel free to send us any feedback here: info@criticalthinkingpodcast.ioShoutout to YTCracker for the awesome intro music!====== Links ======Follow your hosts Rhynorater and Rez0 on Twitter: https://x.com/Rhynoraterhttps://x.com/rez0__====== Ways to Support CTBBPodcast ======Hop on the CTBB Discord at https://ctbb.show/discord!We also do Discord subs at $25, $10, and $5 - premium subscribers get access to private masterclasses, exploits, tools, scripts, un-redacted bug reports, etc.You can also find some hacker swag at https://ctbb.show/merch!====== This Week in Bug Bounty ======Meet YesWeHack at ROOTCON 2025https://www.yeswehack.com/page/meet-yeswehack-at-rootcon-2025New Dojo challenge featuring a Local File Inclusion in a Ruby applicationhttps://dojo-yeswehack.com/challenge-of-the-month/dojo-44?utm_source=sponsor&utm_medium=challenge&utm_campaign=dojo-44AI Red Teaming CTFhttps://ctf.hackthebox.com/event/details/ai-red-teaming-ctf-ai-gon3-rogu3-2604====== Resources ======Web Security Labshttp://caido.rhynorater.com====== Timestamps ======(00:00:00) Introduction(00:02:32) Common filters & command palette in EvenBetter(00:06:49) Notes++(00:09:28) Shift Agents and Drop(00:15:34) Workflows

Harnessing MCPs for Automation: Revolutionizing Amazon Seller Workflows Episode Overview In this episode, Danny McMillan and Leo Automations explore the transformative potential of MCPs  for Amazon sellers. They discuss how these tools can streamline workflows, enhance productivity, and ultimately drive business growth by automating mundane tasks. This episode explores automation in amazon selling, efficiency through mcp integration with practical insights for immediate implementation. Model Context Protocol (MCP) is an open standard created by Anthropic in November 2024. Think of it as the USB-C port for AI applications. Before USB-C, every device needed its own cable—phone chargers, laptop chargers, headphones, all different. USB-C created one universal standard. MCP does the same thing for AI connections to business tools.

In dieser Episode von "Sound of Finance" steht das interne Kontrollsystem (IKS) in Finanzinstituten im Mittelpunkt – ein Thema, das angesichts steigender Risiken und verschärfter regulatorischer Anforderungen zunehmend an Bedeutung gewinnt. Dr. Saskia Hohe, Partnerin bei zeb und ausgewiesene Expertin für Non-Financial Risks, erläutert die methodische Grundlage eines effektiven IKS und betont dessen unverzichtbare Rolle für das Management von nichtfinanziellen Risiken sowie für eine effiziente Geschäftsorganisation. Jessica Pietschmann, Leiterin der zentralen IKS-Stelle der Frankfurter Bankgesellschaft Deutschland, gibt Einblicke in die praxisorientierte Weiterentwicklung des IKS in ihrem Haus. Sie unterstreicht, wie eine ganzheitliche Prozess- und Risikoübersicht die Akzeptanz und Umsetzung innerhalb der Bank fördert und zugleich die Effizienz des Risikomanagements steigert. Im Gespräch wird die zentrale Funktion der IKS-Stelle als Garantin für Qualitätssicherung, Compliance-Überwachung und Unterstützung der Fachbereiche hervorgehoben. Herausforderungen bei der Implementierung werden offen diskutiert, wobei Kommunikation und kollaboratives Prozessmanagement als Schlüssel zum Erfolg gelten. Das zeb-IKS-Framework wird als bewährte, risikoorientierte Struktur vorgestellt, die eine fundierte Status-Quo-Analyse ermöglicht und gezielte Handlungsmaßnahmen ableitet – ohne die Organisation zu überfordern. Abschließend richtet sich der Blick in die Zukunft: Automatisierung und Digitalisierung sind wesentliche Treiber für ein modernes, wirkungsvolles IKS. Diese Episode zeigt eindrucksvoll, wie ein gut gestaltetes internes Kontrollsystem nicht nur Risiken minimiert, sondern einen nachhaltigen Mehrwert für alle Fachbereiche schafft.

In this episode, Leslie shares his personal journey of using AI and automation to save hours every week. From building a workflow that helped him record 85 videos in 3 days, to creating a transcript system with his AI pendant, to his Triple-A Framework (Automate, Amplify, Ascend), Leslie reveals how these experiments led to building client workflows. You'll also hear a real example of a client support automation that saves 15–20 hours a week.

Ian Ramirez has spent his career finding innovative ways to make mouth-watering meals for clients—and one of his latest ingredients is artificial intelligence. As a chef, culinary consultant, and co-founder of Mad Honey Culinary Studio and Goods, he's the guy that brands hire to get their product on restaurant menus, and make it look and taste good—whether it's a sauce, syrup, spread, or spice. Ian uses AI to tackle the repetitive, time-consuming parts of menu planning for commercial kitchens, and help clients visualize new concepts before anything gets sliced or diced. It's a tool that augments his creativity, he says, and makes prep less of a grind. On this episode, Ian talks about how AI is helping him and his team spend more time doing what they love: cooking and getting creative in the kitchen.Learn more about Mad Honey Culinary Studio and Goods at madhoneyculinary.comLearn more about Dropbox Dash—the AI universal search and knowledge management tool from Dropbox—at workingsmarter.ai/dash~ ~ ~Working Smarter is brought to you by Dropbox Dash—the AI universal search and knowledge management tool from Dropbox. Learn more at workingsmarter.ai/dashYou can listen to more episodes of Working Smarter on Apple Podcasts, Spotify, YouTube Music, Amazon Music, or wherever you get your podcasts. To read more stories and past interviews, visit workingsmarter.aiThis show would not be possible without the talented team at Cosmic Standard: producer Dominic Girard, sound engineer Aja Simpson, technical director Jacob Winik, and executive producer Eliza Smith. Special thanks to our illustrators Justin Tran and Fanny Luor, marketing consultant Meggan Ellingboe, and editorial support from Catie Keck. Our theme song was composed by Doug Stuart. Working Smarter is hosted by Matthew Braga. Thanks for listening!

In this episode, hosts Paul Barnhurst and Glenn Hopper explore the challenges and opportunities that come with incorporating AI into finance. They discuss why so many AI projects fall short of expectations, the importance of having clear processes and clean data, and how businesses can get the most out of these technologies. The conversation also covers the practical uses of tools like ChatGPT and Excel Copilot, and the need for realistic expectations when adopting new technology.In this episode, you will discover:Why 95% of AI projects don't deliver the results businesses expect.The critical role that data quality and solid workflows play in making AI work.How businesses are using tools like ChatGPT and Excel Copilot to enhance financial operations.How to integrate these tools effectively into existing systems.The importance of setting realistic goals and expectations when using new technologies.Paul and Glenn stress that while AI offers great potential, it's important to approach it with a clear understanding of its capabilities and limitations. They discuss how businesses can align technology with existing processes, manage expectations, and avoid common pitfalls.Join hosts Glenn and Paul as they unravel the complexities of AI in finance:Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul:LinkedIn: https://www.linkedin.com/in/thefpandaguyFollow QFlow.AI:Website - https://bit.ly/4i1EkjgFuture Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today's Episode:[00:41] - Welcome to the Episode[01:07] - Funny News of This Week[04:00] - Why AI Projects Underperform[09:12] - AI Automation for New Hires: Realistic or Hype[16:01] - Understanding AI Fundamentals in Finance[17:41] - Thoughts on ChatGPT-5[31:06] - Summary of Key Takeaways from the Episode

How Radiology Teams Modernize Intake Without Disrupting Epic Workflows Modernizing radiology intake means more than sending documents to Epic—it's about building accuracy into the process. Learn how AI-powered document capture uses HL7 ORM mapping to handle multi-patient faxes, duplicates, and poor-quality images, with a phased rollout that keeps data clean and workflows running smoothly. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen/

In this episode of the Building PA Podcast, co-hosts Jon O'Brien and Chris Martin dive into the critical topic of connected construction workflows with our guest, Joe Hasson from Empower Business Solutions. As the construction industry continues to evolve, the importance of integrating technology into everyday operations cannot be overstated.We kick off the episode with a light-hearted introduction, where Chris sets the stage for an engaging discussion. Joe, a seasoned expert in Enterprise Resource Planning (ERP) systems, shares his extensive background in the field, highlighting his transition to cloud-based solutions and the significance of real-time data in construction management.The conversation quickly shifts to the concept of connected construction workflows. Joe explains how modern ERP systems, like Acumatica, streamline processes from take-offs to job planning, ensuring that all aspects of a project are interconnected. He emphasizes the importance of having a single version of the truth, which allows project managers to access real-time data and make informed decisions that can significantly impact job profitability.We delve into specific tools like Stack, a digital takeoff software that digitizes blueprints and estimates, and how it integrates with job planning software to enhance project management. Joe discusses the challenges construction companies face when upgrading their systems, particularly the resistance to change from employees accustomed to outdated processes. He stresses the need for buy-in from all levels of the organization to ensure a successful transition to modern technology.As we explore the role of AI in construction, Joe shares his vision for the future, where AI can analyze data from ERP systems to provide predictive insights, helping companies forecast job profitability and make proactive decisions. He also touches on the importance of incorporating Building Information Modeling (BIM) into these systems for even greater efficiency.Throughout the episode, we highlight the common challenges companies face when adopting new technology, including the need for proper training and the commitment required from staff. Joe provides valuable insights into the ROI of modernizing systems and the impact it can have on employee satisfaction and retention.As we wrap up, we announce an exciting upcoming three-part webinar series featuring Joe, where he will guide listeners through the intricacies of Stack, job planning, and Acumatica Construction Edition. This episode is packed with actionable insights and expert advice that will resonate with construction professionals looking to enhance their operations through technology.

Is AI truly delivering ROI, or are we just “burning tokens”? In this episode of The Effortless Podcast, Amit Prakash and Dheeraj Pandey unpack the MIT report that sparked debate on AI's real impact and revisit the timeless dilemma of whether to build or buy.They frame the conversation through a pyramid of adoption—from global enterprises with engineering armies, to mid-market firms that buy and configure, to SMBs seeking plug-and-play simplicity. Along the way, they explore the economics of “Supernovas” vs. “Shooting Stars” in AI startups, the integration struggles holding back the mid-market, and the consulting-heavy pitfalls of enterprise “project thinking.”This candid discussion reflects on lessons from the dot-com era, the stubbornness of leaders like Jeff Bezos and Reed Hastings, and why iteration—not initial insight—defines whether AI experiments evolve into durable products.Key Topics & Timestamps00:00 – Introduction: Framing “Agent Season” and the MIT report02:00 – The ROI Question: Burning tokens or building value?03:00 – Why Iteration Matters More in AI Than Traditional Software04:30 – The Pyramid of Adoption: Enterprises, Mid-Market, SMBs08:00 – SMBs, Plug-and-Play AI, and Startup Archetypes12:00 – Supernovas vs. Shooting Stars: Startup Economics15:00 – Dot-Com Parallels and the Role of Cheap Capital18:00 – Disillusionment and the Stubbornness of Leadership21:00 – Infrastructure and Iteration Speed: Microsoft vs. Google30:00 – Mid-Market Struggles: Integration and Context Problems36:00 – A Warehouse for Work: RAG, Indexing, and Workflows41:00 – The Consulting Trap in Enterprises46:00 – Projects vs. Products: The Cultural Divide51:00 – Internal Apps, Workflows, and the “Build” Mentality53:00 – Adoption, Habits, and the Design Challenge55:00 – Design Partnerships as Lifelines57:00 – Final Reflections on the MIT Report & AI's FutureHosts:Dheeraj Pandey – Co-founder and CEO at DevRev, former Co-founder & CEO of Nutanix. A tech visionary with deep interest in AI, systems, and the future of work.Amit Prakash – Co-founder and CTO at ThoughtSpot, former engineer at Google AdSense and Microsoft Bing, with extensive expertise in distributed systems and machine learning.Follow the Hosts:Dheeraj Pandey:LinkedIn – https://www.linkedin.com/in/dpandey/Twitter/X – https://x.com/dheerajAmit Prakash:LinkedIn – https://www.linkedin.com/in/amit-prakash-50719a2/Twitter/X – https://x.com/amitp42Share Your Thoughts:Have questions, comments, or ideas for future episodes? Email us at EffortlessPodcastHQ@gmail.comDon't forget to Like, Comment, and Subscribe for more conversations at the intersection of AI, technology, and innovation.

AVIV Group - This is the very first English episode of HR Weekly! I sit down with Claudia Ionescu, Chief People Officer at AVIV Group, to explore how HR leaders can guide their teams through disruption and uncertainty. Together we dive into the human side of transformation—how to stay resilient as a leader, foster psychological safety, and keep motivation alive when business priorities shift overnight. Claudia shares her advice for leading with clarity and courage in times of massive change.Das ist die allererste englische Episode von HR Weekly! Ich spreche mit Claudia Ionescu, Chief People Officer bei der AVIV Group, darüber, wie HR-Leader ihre Teams durch Disruption und Unsicherheit führen können. Gemeinsam tauchen wir in die menschliche Seite der Transformation ein – wie man als Führungskraft resilient bleibt, psychologische Sicherheit fördert und die Motivation hochhält, wenn sich Unternehmensprioritäten über Nacht verschieben. Claudia teilt ihre Ratschläge, wie man in Zeiten massiver Veränderungen mit Klarheit und Mut führt.Werbepartner dieser Episode: ZendeskBesserer Mitarbeiter-Service mit ZendeskMitarbeitende haben Fragen wie „Wo finde ich meine Gehaltsabrechnung?“ oder „Wie beantrage ich Elternzeit?“ – und HR jongliert E-Mails, Tickets und verstreute PDFs. Zeit für eine smarte Lösung! Mit der KI-gestützen Lösung für den Mitarbeiterservice von Zendesk bekommen eure Teams schnelle, relevante Antworten, automatisierte Workflows und Support – jederzeit und überall. Keine langen Wartezeiten, keine Umwege – einfach guter interner Service. Denn am Ende bleiben Mitarbeitende dort, wo sie sich gut betreut fühlen. Klingt gut? Weitere Informationen zum Angebot von Zendesk findet ihr hier.Werbepartner dieser Episode: Zukunft Personal EuropeSichere dir jetzt dein Freiticket für die ZPE 2025! Unter dem Motto "Time for new beginnings" gibt es vom 09.09 - 11.09 jede Menge Inspiration und Austausch zum Thema HR und Arbeit der Zukunft. Also seid mit dabei und sichert euch jetzt ⁠⁠⁠hier⁠⁠⁠ euer HR Weekly Freiticket.

Spontane Late-Night-Vibes und ehrliche Einblicke: Deanibeanii nimmt uns mit von Bielefeld nach Berlin – von der Aufnahmeprüfung (inklusive Zukunfts-Skizzen und Aktmalerei) über Modejobs bis hin zur Haut als Lieblingsleinwand. Sie erzählt, wie „learning by doing“ ihr Handwerk geschärft hat, warum sie nach dem Heiratsantrag praktisch am nächsten Morgen die Hochzeitsplanung gestartet hat, und weshalb sie lieber renoviert als darüber zu reden. Wir sprechen über KI im Alltag (Texte, Workflows – ohne die eigene Handschrift zu verlieren), seltsame Kundenanfragen, Walk-Ins vs. Terminvergabe und Flashdays, die bis Mitternacht gehen. Dazu jede Menge Humor, Lebenspläne der „Zukunftsdini“ und klare Haltung: Am Ende zählt immer der Mensch, der das Werk erschafft. Eine Stunde geerdete Kreativität, kleine Chaosmomente – und viele kluge Sätze, die man sich merken will.Deanibeanii findet ihr auf Instagram genauso wie ihr Studio The Black Dahlia und wenn ihr Bock auf das komplette, 2-stündige Gespräch habt, zieht euch unser ⁠TFTN+ Abo⁠ oder besorgt euch die Folge in ⁠unserem Shop⁠!⁠⁠⁠[ WERBUNG ]Bei unseren Werbepartnern könnt ihr richtig sparen - darunter bei Neonsfeer, Murostar, Killer Ink, Cheyenne Tattoo Equipment, CoalBlack oder Caos Nero! Alle Infos auf ⁠⁠⁠⁠⁠⁠www.tftn-podcast.com⁠⁠⁠⁠.

Ged Maheux from the Iconfactory is back on the podcast to discuss the latest update to Tot.Early episodes with chapter markers are available by supporting the podcast at www.patreon.com/ipadpros. Early episodes are also now available in Apple Podcasts!Show notes are available at www.iPadPros.net. Feedback is welcomed at iPadProsPodcast@gmail.com.Links:- https://ipadpros.net/2020/03/26/episode-76-4th-generation-ipad-pro-and-tot-with-ged-maheux/- https://tot.rocks- https://mastodon.social/@gedeonmChapter Markers:00:00:00: Opening00:00:23: Support the Podcast00:00:34: Ged Maheux00:10:29: Tot00:20:07: Liquid Glass00:33:04: Tapestry00:34:46: Learn more00:35:39: Closing Hosted on Acast. See acast.com/privacy for more information.

Working Smarter is back for season two! Starting September 3, we're going beyond the hype and headlines to bring you stories about real people using AI to do more of what they love about their jobs. From the F1 track to the kitchen—and even the bottom of a lake—learn how new tools are helping creatives, makers, visionaries, and their teams think big, move faster, and focus on the work that matters most.~ ~ ~Working Smarter is brought to you by Dropbox Dash—the AI universal search and knowledge management tool from Dropbox. Learn more at workingsmarter.ai/dashYou can listen to more episodes of Working Smarter on Apple Podcasts, Spotify, YouTube Music, Amazon Music, or wherever you get your podcasts. To read more stories and past interviews, visit workingsmarter.aiThis show would not be possible without the talented team at Cosmic Standard: producer Dominic Girard, sound engineer Aja Simpson, technical director Jacob Winik, and executive producer Eliza Smith. Special thanks to our illustrators Justin Tran and Fanny Luor, marketing consultant Meggan Ellingboe, and editorial support from Catie Keck. Our theme song was composed by Doug Stuart. Working Smarter is hosted by Matthew Braga. Thanks for listening!

Ask Me Anything, die Zweite!Eure Fragen, unsere Antworten. Hast du dich schon mal gefragt, wie Entwickler:innen eigentlich ihren riesigen To-Do-Berg organisieren, wie viel Kaffee wirklich durch ihre Venen fließt oder wie man als Papa von drei Kids noch Engagement für Open Source oder Side Projects übrig hat?Was tun wir gegen Overcommitment und Stress? Wie priorisieren wir, damit private Themen, Side Projects & Karriere am Ende halbwegs im Einklang bleiben?Dies sind nur einige Fragen, die wir bekommen haben. Du erfährst u.a.Ob Koffeinkonsum ein Running Gag in der IT ist.Welche Produktivitäts-Tools, Workflows & persönlichen Rituale sind bei uns im Einsatz (Spoiler: Getting Things Done & Remember The Milk sind nicht tot).Warum Sport beim Stressmanagement hilft.Wie Side Projects manchmal sogar zu echten Exits führen, inklusive der Frage aller Fragen: Wie viel ist ein Dev-Projekt wirklich wert?On top reden wir über Podcast-Equipments (Spoiler: Gutes Mikro ab 50€ genügt!), Automatisierung, Videospiele für Entwickler:innen und wozu ein Podcast wirklich Aufwand bedeutet.PS: Podcast hören macht dich zwar nicht produktiver – aber definitiv entspannter.Unsere aktuellen Werbepartner findest du auf https://engineeringkiosk.dev/partnersDas schnelle Feedback zur Episode:

What exactly is an AI agent, and how will agents change the way we work?In this episode, a16z general partners Erik Torenberg and Martin Casado sit down with Aaron Levie (CEO, Box) and Steven Sinofsky (a16z board partner; former Microsoft exec) to unpack one of the hottest debates in AI right now.They cover:Competing definitions of an “agent,” from background tasks to autonomous internsWhy today's agents look less like a single AGI and more like networks of specialized sub-agentsThe technical challenges of long-running, self-improving systemsHow agent-driven workflows could reshape coding, productivity, and enterprise softwareWhat history — from the early PC era to the rise of the internet — tells us about platform shifts like this oneThe conversation moves from deep technical questions to big-picture implications for founders, enterprises, and the future of work. Timecodes: 0:00 Introduction: The Evolution of AI Agents0:36 Defining Agency and Autonomy1:54 Long-Running Agents and Feedback Loops4:49 Specialization and Task Division in AI6:20 Human-AI Collaboration and Productivity6:59 Anthropomorphizing AI and Economic Impact9:10 Predictions, Progress, and Platform Shifts11:31 Recursive Self-Improvement and Technical Challenges13:20 Hallucinations, Verification, and Expert Productivity16:20 The Role of Experts and Tool Adoption22:14 Changing Workflows: Agents Reshaping Work Patterns45:55 Division of Labor, Specialization, and New Roles48:47 Verticalization, Applied AI, and the Future of Agents54:44 Platform Competition and the Application Layer55:29 Closing Thoughts and Takeaways  Resources: Find Aaron on X: https://x.com/levieFind Martin on X: https://x.com/martin_casadoFind Steven on X: https://x.com/stevesi Stay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

If you're not automating your marketing yet, you're already behind. In this video, I break down how AI-powered workflows can take over repetitive marketing tasks, qualify leads faster, and keep your follow-ups sharp. I share how I repurpose and scale content efficiently, manage marketing teams with less friction, and what the future of marketing automation means for staying ahead in business. TIMESTAMPS (00:00) Automating Marketing Workflows (02:56) Lead Qualification and Follow-Up Strategies (05:57) Content Creation and Repurposing Techniques (08:58) Future of Marketing Automation and Insights How to Connect: IG: / ericosiu X: / ericosiu

Designing a learning experience for the average learner is a thing of the past, we must now design for everyone. So, in this episode of Learning for Good, I am joined by accessibility expert Dr. Nicole L'Etoile. We're diving deep into how we can design learning strategies in our organizations that work for ALL learners.You'll understand why accessibility is a foundational part of L&D, discover barriers your learners might be facing, and learn how to start being more inclusive today.▶️ 8 Major Accessibility Insights for Your Nonprofit Learning Strategy with Nicole L'Etoile ▶️ Key Points:01:20 What it feels like when accessibility and inclusion are missing03:38 Meet Nicole L'Etoile and her path to accessibility work07:30 Why accessibility is important for nonprofit L&D leaders09:41 Two examples of barriers that learners might be facing13:29 Steps for more inclusive and accessible design16:33 The most common accessibility shortcomings found in audits20:34 A sneak peek into our upcoming webinar: Roadmap to Accessibility23:14 First steps you can take now toward accessibilityResources from this episode:Join our Roadmap to Accessibility: How to Shift Mindsets, Culture, and Workflows webinar on September 23, from 11 a.m. to 12 p.m., Central Time.Learn more about the Web Content Accessibility Guidelines (WCAG).Check out Nicole L'Etoile's Making Online Content Accessible For All Course.Join the Nonprofit Learning and Development Collective: https://www.skillmastersmarket.com/nonprofit-learning-and-development-collectiveWas this episode helpful? If you're listening on Apple Podcasts or Spotify, follow and leave a review!

In this bonus episode, Eric and John welcome back longtime co-host of the Data Stack Show Kostas Pardalis to talk through all things AI and his co-founding of typedef.The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it's needed to power smarter decisions and better customer experiences. Each week, we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

This episode is packed with great updates. Loop pages can now be added to Teams channels as a tab. This is a simpler way to use Loop as a team without creating a whole workspace. Creating SharePoint workflows will now follow the same experience as when you create them in Teams. And soon you will be able to create SharePoint sections on pages with help from Copilot.  What else will Daniel and Darrell discuss?  – Outlook Mobile : Copilot Chat overlay coming to iOS and Android - Restrict new file creation in Office desktop apps to Cloud Locations - Collaborate with Microsoft Loop Pages in Teams Channels - Build SharePoint automations with Workflows—now aligned with the Teams experience - Microsoft Teams: New organizer controls for in-meeting management - SharePoint Pages: Sections with AI - Microsoft Teams Copilot without transcription becomes default for meetings - conversation history now persists     Join Daniel Glenn and Darrell as a Service Webster as they cover the latest messages in the Microsoft 365 Message Center.   Check out Darrell & Daniel's own YouTube channels at:  Darrell - https://youtube.com/modernworkmentor  Daniel - https://youtube.com/DanielGlenn   

In this episode, our guest is Amie Vuyong. She works on AI-powered identity verification, AML, and fraud prevention, areas she frames as “compliance AI agents.” She also shares how she used modern AI coding companions to turn a manual spreadsheet into a sleek personal finance web app, with expense tracking, budgets, and net‑worth views, built through iterative MVPs using Cursor/Windsor and GPT. Beyond tools, Amie and Sohail compare real‑world AI workflows (from content editing to prioritization systems), swap notes on NotebookLM for multi‑PDF research and auto‑generated explainers, and discuss autonomy, from AGI timelines to everyday safety moments in driver‑assist and robotaxis. Connect with Sohail Hasnie: Facebook @sohailhasnie X (Twitter) @shasnie LinkedIn @shasnie ADB Blog Sohail Hasnie YouTube @energypreneurs Instagram @energypreneurs Tiktok @energypreneurs Spotify Video @energypreneurs

Are we watching the rise of a trillion-dollar empire—or sleepwalking into another dot-com crash?From OpenAI's wild ambitions and Sam Altman's eyebrow-raising dinner confessions, to Google's AI-powered Pixel 10 and Meta's highly questionable chatbot ethics—this episode dives deep into what every forward-thinking business leader needs to know now.Because the truth is, whether you're building, scaling, or just trying to survive the AI transformation, the ground is shifting fast—and not always in ways you'd expect.In this episode, Isar breaks down the latest AI news with clarity, strategy, and the occasional raised eyebrow. You'll hear exactly what matters, what doesn't, and how to separate hype from opportunity in a world moving at LLM speed.In this session, you'll discover:What Sam Altman really said about GPT-6, compute shortages, and raising trillionsWhy Google's Pixel 10 might be the first actual AI phone—and what it means for your dataThe OpenAI vs. Google browser war (and the subtle takeover of web search)Why Meta's leaked AI chatbot guidelines are more disturbing than anyone expectedThe death of entry-level jobs? New data shows how AI is upending the talent pipelineThe “Shadow AI Economy”: How 90% of employees are using AI—even when leadership isn'tLessons from CEOs: The right (and wrong) way to lead your team into the AI futureWhy we urgently need global AI guardrails—and how the current path is dangerously unregulatedAnd yes, a pregnancy robot is in the works. We're not kidding.About Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

Returning "favorite" Laura Onderwater re-enters the clubhouse to talk about task tracking, naming conventions, and paper trails of various kinds in an engaging discussion on concept art workflows. Even if you're not part of an art team, there's a lot to take away from this one!We spoke with Laura previously in an episode onVisual WorldbuildingConcept Art WorkflowsArtProductionLaura on ArtstationLaura on Bluesky

Granola is the rare AI startup that slipped into one of tech's most crowded niches — meeting notes — and still managed to become the product founders and VCs rave about. In this episode, MAD Podcast host Matt Turck sits down with Granola co-founder & CEO Chris Pedregal to unpack how a two-person team in London turned a simple “second brain” idea into Silicon Valley's favorite AI tool. Chris recounts a year in stealth onboarding users one by one, the 50 % feature-cut that unlocked simplicity, and why they refused to deploy a meeting bot or store audio even when investors said they were crazy.We go deep on the craft of building a beloved AI product: choosing meetings (not email) as the data wedge, designing calendar-triggered habit loops, and obsessing over privacy so users trust the tool enough to outsource memory. Chris opens the hood on Granola's tech stack — real-time ASR from Deepgram & Assembly, echo cancellation on-device, and dynamic routing across OpenAI, Anthropic and Google models — and explains why transcription, not LLM tokens, is the biggest cost driver today. He also reveals how internal eval tooling lets the team swap models overnight without breaking the “Granola voice.”Looking ahead, Chris shares a roadmap that moves beyond notes toward a true “tool for thought”: cross-meeting insights in seconds, dynamic documents that update themselves, and eventually an AI coach that flags blind spots in your work. Whether you're an engineer, designer, or founder figuring out your own AI strategy, this conversation is a masterclass in nailing product-market fit, trimming complexity, and future-proofing for the rapid advances still to come. Hit play, like, and subscribe if you're ready to learn how to build AI products people can't live without.GranolaWebsite - https://www.granola.aiX/Twitter - https://x.com/meetgranolaChris PedregalLinkedIn - https://www.linkedin.com/in/pedregalX/Twitter - https://x.com/cjpedregalFIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCapMatt Turck (Managing Director)LinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturck(00:00) Introduction: The Granola Story (01:41) Building a "Life-Changing" Product (04:31) The "Second Brain" Vision (06:28) Augmentation Philosophy (Engelbart), Tools That Shape Us (09:02) Late to a Crowded Market: Why it Worked (13:43) Two Product Founders, Zero ML PhDs (16:01) London vs. SF: Building Outside the Valley (19:51) One Year in Stealth: Learning Before Launch (22:40) "Building For Us" & Finding First Users (25:41) Key Design Choices: No Meeting Bot, No Stored Audio (29:24) Simplicity is Hard: Cutting 50% of Features (32:54) Intuition vs. Data in Making Product Decisions (36:25) Continuous User Conversations: 4–6 Calls/Week (38:06) Prioritizing the Future: Build for Tomorrow's Workflows (40:17) Tech Stack Tour: Model Routing & Evals (42:29) Context Windows, Costs & Inference Economics (45:03) Audio Stack: Transcription, Noise Cancellation & Diarization Limits (48:27) Guardrails & Citations: Building Trust in AI (50:00) Growth Loops Without Virality Hacks (54:54) Enterprise Compliance, Data Footprint & Liability Risk (57:07) Retention & Habit Formation: The "500 Millisecond Window" (58:43) Competing with OpenAI and Legacy Suites (01:01:27) The Future: Deep Research Across Meetings & Roadmap (01:04:41) Granola as Career Coach?

From the environmental costs of data centers to the cultural biases baked into today's models, Paul Roetzer and Cathy McPhillips answer your questions from our 50th Intro to AI class. Throughout the episode, they unpack the gray areas of AI-generated content, debate what the rise of agents means for work, and consider how creatives can stay ahead with AI. Show Notes: Access the show notes and show links here Timestamps: 00:00:00 — Intro 00:05:13 — Question #1: Which environmental concern feels most urgent for the AI industry to solve? 00:07:58 — Question #2: How well do AI models reflect diverse languages and cultures?  00:10:25 — Question #3: What risks and ownership issues come with AI-generated video and images in marketing?  00:15:26 — Question #4: What are the best ways to start experimenting with AI agents? 00:18:22 — Question #5: Is there value in using multiple AI platforms to cross-check results? 00:22:06 — Question #6: How should businesses weigh built-in AI assistants versus standalone tools like ChatGPT?  00:24:30 — Question #7: Are we moving toward a standardized way for websites to guide how AI systems interact with their content? 00:29:27 — Question #8: How do you see different search engines being used or leveraged by AI companies? 00:32:24 — Question #9: How do you choose the right AI model for marketing, HR, and sales tasks?  00:34:56 — Question #10: What role do you see AI playing in building and managing communities?  00:38:31 — Question #11: What frameworks should teams use when integrating AI into CRM or workflow automation to keep systems scalable and secure? 00:40:51 — Question #12: What are the most common mistakes companies make when trying to ‘force-fit' AI into a workflow? 00:42:23 — Question #13: Which AI tooling is best suited to develop and monitor a marketing communications strategy at SME vs. enterprise scale? 00:45:11 — Question #14: Do you think AI fluency will become a baseline requirement for executives?00:46:55 — Question #15: What should creatives in fields like graphic design or UX/UI be thinking about as AI continues to evolve?  00:52:29 — Question #16: How do you see coding and technical skills as careers in a world where today's kids will grow up with AI?00:55:35 — Question #17: What's the best way to handle situations when AI gets things wrong, and how do you approach fact-checking?  00:58:39 — Question #18: If you had to narrow it down to just one ethical principle that matters most right now, which would it be and why? 01:00:48 — Question #19: How should companies address internal concerns around data privacy, compliance, and governance?  01:01:53 — Question #20: Which AI applications do you expect to break through sooner than people think?   This episode is brought to you by Google Cloud:  Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner. Learn more about Google Cloud here: https://cloud.google.com/   This episode is brought to you by AI Academy by SmarterX. AI Academy is your gateway to personalized AI learning for professionals and teams. Discover our new on-demand courses, live classes, certifications, and a smarter way to master AI. Learn more here. Visit our website Receive our weekly newsletter Join our community: Slack LinkedIn Twitter Instagram Facebook Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy 

In this episode of Future Finance, host Glenn Hopper and co-host Paul Barnhurst welcome Nicolas Kopp, a visionary leader in the AI-native ERP space. Nicolas shares how AI is transforming finance operations by offering real-time visibility, automation, and a path to zero-day close. He explains how AI integration redefines financial workflows, from data ingestion and processing to output, offering a more streamlined approach compared to traditional systems.Nicolas Kopp is the founder and CEO of Rillet, the AI-native ERP designed to automate accounting and close books faster. Backed by Sequoia, Rillet empowers accountants by integrating AI seamlessly into financial workflows. Previously, Nicolas served as the US CEO of N26, a fintech bank valued at $9 billion, where he played a key role in leading its expansion into the US market. Prior to N26, he spent five years in investment banking at Morgan Stanley. Nicolas holds a BA from the University of St. Gallen in Switzerland and an MSc in Accounting from the London School of Economics.Expect to Learn:The difference between AI-native ERP systems and legacy systemsHow AI is transforming data ingestion and transaction processing in financeThe role of AI agents in automating finance workflows, from cash transfers to accrualsWhy legacy systems struggle to integrate AI and how ReLit does it differentlyThe typical implementation process for AI-native ERPs and how it compares to traditional ERP rolloutsNicolas Kopp provided an insightful look at the future of finance and the potential of AI-native ERP systems. His work with ReLit showcases how AI can transform finance operations, offering real-time visibility and automating complex workflows. From narrowing the scope of AI agents to building smarter systems, Nicolas' insights are invaluable for finance professionals looking to leverage AI for operational success. Follow Nicolas:LinkedIn - https://www.linkedin.com/in/nicolas-kopp/Website - https://www.rillet.com/Join hosts Glenn and Paul as they unravel the complexities of AI in finance:Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul: LinkedIn - https://www.linkedin.com/in/thefpandaguyFollow QFlow.AI:Website - https://bit.ly/4i1EkjgFuture Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today's Episode:[01:10] - What Makes an AI-native ERP?[03:22] - Integrating AI into Legacy Systems[04:51] - Exploring AI Agents in Workflows[07:24] - How Close Are We to Autonomous AI Agents?[11:31] - The Challenge of Quick ERP Implementations[15:45] - Celebrating Success and Sequoia Backing

Photographers, get ready—this episode is a time-saver! ⏱️I sat down with Justin, co-founder of Aftershoot, to talk about how this powerful AI tool is transforming the way photographers cull, edit, and deliver galleries. Whether you're drowning in editing backlog, struggling to keep up with client turnaround times, or just craving a more efficient workflow, this episode is packed with insights.Here's what we cover:The biggest workflow struggles photographers face (and how Aftershoot solves them).A breakdown of Aftershoot's newest features (and how they can save you HOURS each week).Why AI isn't replacing creativity—it's helping photographers get back to what they love most.Real results from photographers who are streamlining their culling, editing, and retouching with Aftershoot.What's coming next for Aftershoot and the future of AI in photography.If you're ready to reclaim your time, focus more on shooting, and spend less time behind the computer, you won't want to miss this one!

Modernizing radiology intake means more than sending documents to Epic—it's about building accuracy into the process. Learn how AI-powered document capture uses HL7 ORM mapping to handle multi-patient faxes, duplicates, and poor-quality images, with a phased rollout that keeps data clean and workflows running smoothly.Brought to you by www.infinx.com

Send us your thoughtsIn this episode of CFO 4.0, host Hannah Munro talks with Tariq Munir, Managing Partner at Finspyr and author of Reimagine Finance, about how CFOs and finance leaders can lead successful transformation in the age of AI. In this episode, you'll learn:Why transformation should be embedded in everyday finance work, not treated as a separate roleHow to influence change without authority and build a “transformation snowball”What good governance looks like — and the pitfalls that can derail changeHow to measure AI project success beyond ROI, including adoption and engagementThe role of subject matter experts in training and maintaining effective AI modelsHow to simplify workflows and manage complexity before introducing AILinks mentioned:Tariq's Linkedin Learn more about FinspyrTariq's book Reimagine Finance  Explore other CFO 4.0 Podcast episodes here. Subscribe to our Podcast!

Wade Foster, co-founder and CEO of Zapier, joins Henrik and Jeremy to talk about how AI is changing the company from the inside out. He shares the moment Zapier declared a “code red” on AI and the steps they took to turn urgency into action — encouraging more experiments, removing tolerance for inaction, and celebrating wins along the way.Wade discusses his own AI use cases, the importance of internal examples in driving adoption, and why duplication of efforts can speed up learning. He reflects on the leadership challenge of guiding a 14-year-old company through cultural transformation, balancing productivity gains with employee well-being, and preparing for a future where AI agents work with each other.This episode offers a clear, practical look at what it takes to embed AI into an established organization, and keep it moving forward.Key Takeaways:A “code red” can be a catalyst for real change.When Zapier declared a company-wide “code red” on AI, it wasn't just a signal. It pushed people to experiment more, act faster, and rethink established ways of working.Culture is harder to change than technology.The real challenge wasn't getting the tools in place, it was getting people to use them. Zapier's approach focused on rewarding curiosity, sharing internal examples, and removing tolerance for inaction.Duplication can drive innovation.Instead of centralizing all AI projects, Zapier encouraged parallel efforts. When multiple teams tackled similar problems, they often uncovered different and better solutions more quickly.Leadership in the AI era is about speed and sustainability.Henrik and Jeremy highlight how Wade's approach blends urgency with care for the people doing the work. Productivity gains matter, but so does avoiding burnout and making AI adoption last.Zapier: Zapier: Automate AI Workflows, Agents, and AppsLinkedIn: Wade Foster | LinkedIn00:00 Setting Company Culture: Rewards and Tolerances00:43 The Rise of AI at Zapier02:19 Wade's Social Media Presence05:06 Challenges in AI Adoption07:32 Personal Use of AI: Health Tracking10:21 Business Applications of AI13:34 Automating Repetitive Tasks20:35 Voice of Customer Program24:26 Customer Brief Generator33:27 Code Red: Embracing AI35:32 Subtle Encouragement and the Impact of GPT-436:38 Code Red: A Turning Point36:51 Embracing AI: From Fear to Familiarity38:13 The Journey to AI Adoption39:11 Challenges in Organizational Change40:41 Managing Resistance and Encouraging Experimentation43:55 Building a Remote Culture with AI46:29 The Future of Work and AI48:33 Agent-to-Agent Communication51:32 The Importance of Duplication in Innovation56:43 Final Thoughts 

Join the Imagen Community on Facebook to continue the discussions between episodes.Looking for ways to boost your wedding photography business and build lasting relationships with clients and vendors? This episode of Workflows is your backstage pass to creating consistent, memorable experiences that keep clients talking and referrals rolling in.In this episode Scott is joined by New York-based photographer Taylor Isselhard, an expert in building meaningful client experiences and strong vendor relationships within the wedding photography space.Taylor Isselhard is a wedding photographer and business coach based out of Western, New York. He is all about making phenomenal experiences for those he has the honor of serving. He believes in creating a business that's centered on what you value in life. Taylor shares how focusing on consistency isn't just for couples, but it's a win for everyone involved in a wedding day, from vendors to venue staff. Discover actionable strategies for streamlining your client communication, leveraging vendor networking, and optimizing your website's SEO to attract more wedding photography leads. Taylor even opens up about his top challenges with CRM workflows and his honest, ongoing journey to improve them."I want everyone to be on the same page. And I want that type of communication to be consistent from wedding after wedding. So when we're showing up on the wedding day, we're all good to go. We've all communicated." – Taylor IsselhardResourcesThrive Wedding WorkshopThe Wedding Lens Lounge PodcastSEO By JoePic-TimeVoicenotesCastmagicWhy You Should ListenGet actionable tips to create a consistent, high-quality wedding photography experience for couples and vendors alike.Learn Taylor's step-by-step approach for improving vendor relationships and increasing referrals for your photography business.Unlock SEO strategies and practical blogging tips to boost your photography website's Google ranking.Hear about Taylor's real-life struggles with workflow tools, and how he's working to improve efficiency.Perfect for anyone in people photography, whether you're just starting your business, refining your workflow, or searching for community with other photographers.Take your wedding photography workflow from scattered to seamless. Press play on this episode of Workflows and set yourself up for stronger relationships, more referrals, and a growth-focused mindset!(00:00) - (01:11) - Workshop Details (02:24) - Consistency in Client Experience (04:29) - Vendor Collaboration and Communication (10:43) - SEO and Blogging Strategies (16:55) - Exploring WhatsApp Integration for Voice Notes (18:08) - SEO Strategies for Wedding Photographers (19:08) - Creating Effective Blog Posts for Venues (22:52) - Optimizing CRM Workflow with HoneyBook (25:39) - Leveraging AI for Business Efficiency (29:37) - The Power of Networking in Photography (31:30) - Upcoming Workshops and Where to Find More Information

Today, AI consultant and creative tech specialist Ian Anderson Gray shares how to make AI workflows practical, approachable, and downright fun. Ian shares how his unique background as a professional classical singer led him to help entrepreneurs and teams adopt human-centered AI with confidence.We cover everything from voice-powered prompting to automation tools that connect your favorite platforms, plus coding without the headache using emerging “vibe coding” methods. Ian walks through real examples from his work, like building calendar assistants, streamlining podcast production, and using AI as a “second brain” to organize ideas.He also shares his take on when not to use AI, the importance of transparency, and how these tools can help us be more creative rather than replace creativity. Whether you're a seasoned techie or just getting started, Ian's advice will help you start small, think strategically, and build systems that work for you.Key Points:Using AI as a collaborative partner for creativity and problem-solvingPractical automation examples with n8n.ioSimplifying code creation with “vibe coding” tools like Cursor and Claude CodeOrganizing research and SOPs with NotebookLMPrompting techniques that improve AI output and reduce frustrationWhy human oversight still matters in AI-powered workflowsResources:Ian Anderson Gray: https://iag.meConnect with Ian on LinkedInConor Brown – Vacation Kingdoms----------------------Ecamm - Your go-to solution for crafting outstanding live shows and podcasts. - Get 15% off your first payment with promo code JEFF15SocialMediaNewsLive.com - Dive into our website for comprehensive episode breakdowns.Youtube.com - Tune in live, chat with us directly, and be part of the conversation. Or, revisit our archive of past broadcasts to stay updated.Facebook - Stream our show live and chat with us in real time. Connect, engage, and be a part of our community.Email - Subscribe and never miss a live show reminder.----------------------JeffSieh.com - Unlock the power of authentic storytelling with me! With over 20 years of marketing experience, I'm here to elevate your brand's narrative in an ever-competitive market. My expertise spans consulting, visual marketing, and producing podcasts and live videos.Additionally, as a

Setting up email automation workflows can feel overwhelming, but the right approach turns confused subscribers into loyal customers. Learn practical implementation strategies that work for growing businesses. To learn more, visit: https://businessstartupsupport.com/moonshot-premium-newsletter Business Startup Support City: Memphis Address: 2323 Madison Avenue Website: https://businessstartupsupport.com/

In this conversation, Giorgio Natili discusses the significance of confidential computing in the realm of AI workflows, emphasizing its role in ensuring data sovereignty and security. He explains how confidential computing can reshape AI usage, particularly in sensitive industries like finance and healthcare. The discussion also touches on the challenges organizations face regarding data privacy and the ethical implications of AI. Natili advocates for a balanced approach where AI complements human expertise rather than replacing it, and he highlights the importance of building secure and compliant AI systems. Sound Bites "Data sovereignty is crucial in AI workflows." "AI cannot replace human beings." "The expert in the room is the human being." Episode # 162 Today's Guest: Giorgio Natili, Vice President and Head of Engineering at Opaque Systems Giorgio Natili is a tech leader, author, and advocate for fearless leadership. With over 20 years of experience, he has led teams at companies such as Amazon, Mozilla, and Capital One. LinkedIn: Giorgio Natili  What Listeners Will Learn: Confidential computing enhances the security posture of systems. Data sovereignty is a critical concern for organizations using AI. Confidential computing allows for secure AI workflows without data leakage. The role of trusted execution environments is vital in protecting sensitive data. Organizations often face challenges with compliance and data privacy regulations. AI should complement human expertise, not replace it. Confidential computing can help organizations navigate complex regulatory landscapes. The importance of attestation in ensuring secure AI workflows. AI can be powerful when used ethically and responsibly. Industry applications for confidential computing include finance, healthcare, and legal sectors.

Usman Sheikh is the Founder and CEO of Agentive, a next-generation AI platform that helps B2B companies generate pipeline, identify quality leads, and accelerate sales outcomes. A serial entrepreneur based in Silicon Valley, he specializes in building businesses at the intersection of AI and enterprise sales and marketing. Agentive envisions AI agents seamlessly collaborating to support revenue teams with a measurable, results-focused impact. This is Usman's fourth startup, reflecting his deep experience in creating and scaling innovative technology ventures. In this episode… Too many sales teams struggle with missed quotas, inconsistent pipelines, and wasted hours on administrative tasks. Even with AI tools at their disposal, companies often see little improvement in outcomes. Is the problem with the technology or with how it's being applied? According to Usman Sheikh, a serial entrepreneur who has built multiple ventures at the intersection of AI and B2B sales, the core issue is that most companies use AI to replicate human tasks instead of reimagining entire sales processes. He highlights that focusing solely on task automation leads to fragmented workflows and lost opportunities, while an outcome-driven approach can transform the entire sales cycle. By building systems that integrate ideal customer profiling, opportunity identification, and daily recommendations, sales teams can spend more time engaging prospects and less time bogged down in admin work. This shift not only increases efficiency but also improves conversion rates and revenue predictability. In this episode of the Revenue Engine Podcast, host Alex Gluz sits down with Usman Sheikh, Founder and CEO of Agentive, to talk about fixing broken B2B sales workflows with AI-powered strategies. They explore why traditional sales processes fail, how to build and maintain a rolling pipeline, and ways AI can enhance sales performance without replacing human judgment. Usman also shares key KPIs for measuring the impact of AI in sales organizations.

Ever wondered why some agents consistently win listings while others struggle month after month? The answer isn't better presentation skills or flashy marketing – it's mastering what Adam Joske calls "the biggest hole in our business." Adam Joske isn't your typical real estate coach. This REIV Residential Salesperson of the Year (2015) built a database of 4,000 contacts with 90% accuracy, consistently beating stronger presenters by playing the long game. After spearheading Belle Properties' Victorian expansion and breaking records for over 25 years, Adam now works intensively with just a handful of agents at a time – helping them double their income by fixing the industry's nurture problem. What you'll learn in this episode of Thought Leaders Why the 6 month - 2 year period is where 90% of agents disappear – and how to dominate this space From A to Advocate – Adam's database categorisation system, and how he segments 4,000 contacts for targeted communication How to turn your newsletter into a revenue stream with local business partnerships AI-powered efficiency - Create market reports in 5 minutes using ChatGPT and CoreLogic data Why throwing money at sporting clubs fails – and what community involvement works instead Chapters Chapters 00:00:50 The lightbulb moment: Identifying the industry's biggest hole 00:04:40 How to beat stronger presenters every time using systematic nurture 00:09:10 Building a 4,000-contact database with 90% accuracy 00:14:40 Segmentation strategy: Sending relevant listings to targeted audiences 00:16:30 Market reports that work: Facts over fluff approach 00:19:00 Ron's transformation: Reconnecting with 1,000 past clients 00:24:20 The A to Advocate categorisation system explained 00:34:50 Newsletter sponsorship: Getting local businesses to fund your marketing 00:39:10 First steps to building your nurture system Subscribe for weekly real estate insights that ambitious agents use to build competitive advantage. Hit the notification bell to never miss strategies from industry thought leaders. About Adam Joske Multi-award winning Melbourne real estate leader with 30+ years selling experience. Now operates as freelance consultant working with select agents to implement systematic client nurturing. His approach focuses on relationship building over lead generation, helping agents create predictable income streams through database mastery. Resources Mentioned: ChatGPT - AI assistant for content creation and analysis (http://openai.com/chatgpt) Cotality (formerly CoreLogic Australia) - Property data and analytics provider (https://www.cotality.com) Connect with Adam Joske LinkedIn: https://www.linkedin.com/in/adamjoske/ Facebook: https://www.facebook.com/adam.joske/ Instagram: https://www.instagram.com/adam_joske/ Discover More From Elite Agent & Samantha McLean Join the Spark Community for Innovation in Real Estate: https://spark.eliteagent.com Sign up for The Brief for Daily Real Estate News: https://thebrief.eliteagent.com Explore AI Tools, Prompts and Workflows for Real Estate: https://aipoweredagents.com Connect with Elite Agent on Socials Instagram: @eliteagentmag Twitter/X: https://x.com/eliteagentmag LinkedIn: https://www.linkedin.com/company/eliteagentmag/ #EliteAgent #ThoughtLeaders #RealEstateAI #PropertyTech #AustralianRealEstate #AdamJoske #RealEstateCoaching #ClientNurture #DatabaseManagement

In this episode of JavaScript Jabber, we sit down with Vinicius Dallacqua, a seasoned software engineer with a passion for performance and developer tooling. Vinicius shares his journey from coding in central Brazil with limited connectivity to building cutting-edge tools like PerfLab and PerfAgent. We dive into the intersection of AI and DevTools, exploring how artificial intelligence is transforming performance debugging, web development workflows, and even the future of browsers.We also tackle the big questions: How do developers avoid bias when building in high-performance environments? What role will agentic browsers play in the evolution of the web? And how can AI-powered DevTools lower the barrier for developers intimidated by performance profiling? If you're curious about the future of frontend performance, DevTools, and AI-driven development, this conversation is packed with insights.Links & ResourcesPerfLab – Performance tooling platformPerfAgent – AI-powered DevTools assistantVinicius Dallacqua on X (Twitter)Paul Kinlan's AI Focus – Essays on AI and the webPerfNow Conference – Leading performance conference in AmsterdamBecome a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

Matthew Poplin works at a hospital in the pharmacy department. In this episode, we dive into how the iPad is used at the hospital, his move back to the iPad, his workflows of using the iPad in conjunction with the Mac, using the iPad to communicate with his son that has autism, and much more including some unique USB-C docks, and some fun tangents. Early episodes with chapter markers are available by supporting the podcast at www.patreon.com/ipadpros. Early episodes are also now available in Apple Podcasts!Show notes are available at www.iPadPros.net. Feedback is welcomed at iPadProsPodcast@gmail.com.Links:- https://apps.apple.com/us/app/medex-traysafe-mobile/id1483785525- https://apps.apple.com/us/app/proloquo2go-aac/id308368164- https://www.caldigit.com/usb-c-soho-dock/- https://juicedsystems.com/products/vertexhub-usb-c-hub-data-and-charging-hub-usb-3-1-gen2?srsltid=AfmBOoo7s0B_n7btEXvGEnk5t3Jo88b3rIRLcCgpKQt3y6N-yzJ0Gf4T- https://www.youtube.com/@HennyThaBizness- https://iosdev.space/@matthewpoplinChapter Markers:00:00:00: Opening00:00:29: Support the Podcast00:00:39: Matthew Poplin00:18:30: How you use the iPad?00:40:24: Dropbox and iCloud00:45:14: FOMO00:48:43: League of Legends00:52:34: Final Cut Pro00:55:03: Affinity apps00:57:26: Pixelmator00:59:15: HomePods01:01:18: External Monitor01:07:21: Discord01:10:15: Docks01:19:19: iPads in Churches01:21:26: Intuitive for Kids01:27:57: webOS and old tech01:34:32: Follow Matthew on Mastodon01:35:00: Closing Hosted on Acast. See acast.com/privacy for more information.

The audio post teams from both The Penguin and Season 2 of The Last Of Us, sit down together to hash out the work they did on their respective series. Workflows are discussed and compared, favourite sound moments are shared and many other challenges, that must be overcome in these types of prestige series, are opened up. From The Last Of Us, Michael Benavente (Supervising Sound Editor) & Samuel Ejnes (Re-Recording Mixer) join Rich Bologna (Supervising Sound Editor) & Andy Kris (Re-Recording Mixer) from The Penguin, for this illuminating conversation. Also Congrats to all four for their recent Emmy Nominations! Listeners in London England, come on out on August 24th at 7pm to the Crown and Two Chairmen to the second Tonebenders London Sound Design Meet-up, presented by the Motion Picture Sound Editors. Also you have until August 15th to get your Listener Field Recording Stories. Full details on how to submit are at https://tonebenderspodcast.com/field-recording-story-submissions/ SPONSOR: Sound Ideas' highly anticipated Mid-Year Sale has been extended for a limited time. Unlock 50% off, on thousands of premium recordings, from epic cinematic sounds to authentic ambiences, ideal for any creative project. This applies to all Sound Ideas proprietary libraries. With over 45 years of experience, Sound Ideas delivers audio trusted by professionals worldwide. Head over to https://www.sound-ideas.com/ to learn more. Episode Notes: https://tonebenderspodcast.com/321-the-sound-of-the-last-of-us-amp-the-penguin/ Podcast Homepage: https://tonebenderspodcast.com This episode is hosted by Timothy Muirhead

What if your code was crash-proof? That's the value prop for a framework called Temporal. Temporal is a durable execution platform that enables developers to build scalable applications without sacrificing productivity or reliability. The Temporal server executes units of application logic called Workflows in a resilient manner that automatically handles intermittent failures, and retries failed operations. We have Mason Egger from Temporal on to dive into durable execution. Episode sponsors Posit PyBay Talk Python Courses Links from the show Just Enough Python for Data Scientists Course: talkpython.fm Temporal Durable Execution Platform: temporal.io Temporal Learn Portal: learn.temporal.io Temporal GitHub Repository: github.com Temporal Python SDK GitHub Repository: github.com What Is Durable Execution, Temporal Blog: temporal.io Mason on Bluesky Profile: bsky.app Mason on Mastodon Profile: fosstodon.org Mason on Twitter Profile: twitter.com Mason on LinkedIn Profile: linkedin.com X Post by @skirano: x.com Temporal Docker Compose GitHub Repository: github.com Building a distributed asyncio event loop (Chad Retz) - PyTexas 2025: youtube.com Watch this episode on YouTube: youtube.com Episode #515 deep-dive: talkpython.fm/515 Episode transcripts: talkpython.fm Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

What happens when an internal hack turns into a $400 million AI rocket ship? In this episode, Matt Turck sits down with Boris Cherny, the creator of Claude Code at Anthropic, to unpack the wild story behind the fastest-growing AI coding tool on the planet.Boris reveals how Claude Code started as a personal productivity tool, only to become Anthropic's secret weapon — now used by nearly every engineer at the company and rapidly spreading across the industry. You'll hear how Claude Code's “agentic” approach lets AI not just suggest code, but actually plan, edit, debug, and even manage entire projects—sometimes with a whole fleet of subagents working in parallel.We go deep on why Claude Code runs in the terminal (and why that's a feature, not a bug), how its Claude.md memory files let teams build a living, shareable knowledge base, and why safety and human-in-the-loop controls are baked into every action. Boris shares real stories of onboarding times dropping from weeks to days, and how even non-coders are hacking Cloud Code for everything from note-taking to business metrics.AnthropicWebsite - https://www.anthropic.comX/Twitter - https://x.com/AnthropicAIBoris ChernyLinkedIn - https://www.linkedin.com/in/bchernyX/Twitter - https://x.com/bchernyFIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCapMatt Turck (Managing Director)LinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturck(00:00) Intro (01:15) Did You Expect Claude Code's Success? (04:22) How Claude Code Works and Origins (08:05) Command Line vs IDE: Why Start Claude Code in the Terminal? (11:31) The Evolution of Programming: From Punch Cards to Agents (13:20) Product Follows Model: Simple Interfaces and Fast Evolution (15:17) Who Is Claude Code For? (Engineers, Designers, PMs & More) (17:46) What Can Claude Code Actually Do? (Actions & Capabilities) (21:14) Agentic Actions, Subagents, and Workflows (25:30) Claude Code's Awareness, Memory, and Knowledge Sharing (33:28) Model Context Protocol (MCP) and Customization (35:30) Safety, Human Oversight, and Enterprise Considerations (38:10) UX/UI: Making Claude Code Useful and Enjoyable (40:44) Pricing for Power Users and Subscription Models (43:36) Real-World Use Cases: Debugging, Testing, and More (46:44) How Does Claude Code Transform Onboarding? (49:36) The Future of Coding: Agents, Teams, and Collaboration (54:11) The AI Coding Wars: Competition & Ecosystem (57:27) The Future of Coding as a Profession (58:41) What's Next for Claude Code

Earnest Sweat, a tech innovation expert, was a guest on the latest edition of the REIT Report podcast. In the second of a three-part miniseries, Sweat continued to examine the intersection of AI with the REIT sector, focusing on real world solutions that are transforming the industry. Sweat is a venture capitalist and general partner at Stresswood, an early-stage fund focused on backing exceptional founders building the next wave of enterprise technology. Sweat stressed that AI allows humans “to do what they do best…show empathy, be creative, be influential, and make sales.” At the same time, he underlined the importance of “really thinking about what you are doing today, what is the process, and how could this potential technology improve it,” in addition to setting definitive key performance indicators. 

Today's guest is Patricio La Rosa, Head of End-to-End Decision Science in Seed Production Innovation at Bayer Crop Science. Patricio joins the AI in Business podcast to explore how AI is transforming the clinical trial lifecycle, from biomarker discovery to long-term patient engagement. Drawing on his academic expertise, Patricio explains how AI-powered systems such as metagenomics, NLP, and multimodal sensing are helping researchers identify robust biomarkers and predict patient outcomes more effectively. He emphasizes the importance of reproducibility, effect traceability, and the scalability of sensing modalities from trial design to clinical practice. Patricio's discussion with Emerj Editorial Director Matthew DeMello then shifts to the human element — how to build trust with patients, improve adherence, and balance transparency with innovation. With deep insight and clarity, Patricio challenges industry leaders to rethink clinical trials not just as scientific protocols—but as collaborative, data-driven partnerships with future customers. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!