Podcasts about Workflow

Send us Fan MailWhat keeps a business from getting real value from AI—even after the tools are available? Dr. Gleb Tsipursky joins David Pasqualone to discuss the fears, identity concerns, and workplace pressures that can hold AI adoption back.In this episode of RPP+ / Hanging Out with David Pasqualone & Friends, Gleb shares examples of using AI for prospect research and outreach, email drafts that reflect your voice, and meeting preparation. David and Gleb also discuss the difference between individual productivity and business results, Gleb's views on AI tools, and concerns about AI safety and human oversight.IN THIS CONVERSATION• Why AI adoption involves motivation and workplace culture• Three forms of resistance: fear, professional identity, and social stigma• Examples of AI-assisted outreach, email drafting, and meeting preparation• Why Gleb recommends reviewing AI-written email before sending• Questions about productivity, responsibility, and the future of workCHAPTERS00:00 Welcome back, Dr. Gleb Tsipursky01:09 What AI means for business owners05:46 Adapting AI to existing workflows07:45 Choosing AI tools: Gleb's perspective09:19 The psychology of AI adoption at work10:31 Job fears, professional identity, and social stigma15:30 Workflow 1: Prospect research and outreach19:41 Workflow 2: Email drafts in your voice21:55 Organizing email and checking spam22:28 ChatGPT and Claude: Gleb's comparison23:57 Workflow 3: Meeting preparation25:03 Connect with Gleb and explore his book26:10 AI safety, oversight, and loss-of-control concerns28:42 Productivity, purpose, and overreliance on AI31:32 Closing thoughtsGUEST RESOURCESBook information and free sample chapters:https://disasteravoidanceexperts.com/aibook/Connect with Gleb on LinkedIn:https://www.linkedin.com/in/dr-gleb-tsipursky/Mention that you heard him on Hanging Out with David Pasqualone & Friends when you send your connection request.Disaster Avoidance Experts:https://disasteravoidanceexperts.com/Georgetown University Press book page:https://press.georgetown.edu/Book/The-Psychology-of-AI-Adoption-at-WorkConnect with David:https://DavidPasqualone.com/What is one recurring task you would like help with: outreach, email, or meeting prep? Tell us in the comments. Follow the channel and share this conversation with a business owner or teammate who would benefit.#AIAdoption #BusinessProductivity #GlebTsipurskySupport the showTHE NOT-SO-FINE-PRINT DISCLAIMER: While we are very thankful for all of our guests, please understand that we do not necessarily share or endorse the same beliefs, worldviews, or positions that they may hold. We respectfully agree to disagree in some areas, and thank God for the blessing and privilege of free will.For more Remarkable Episodes, Inspiration, and Motivation, please visit https://davidpasqualone.com/remarkable-people-podcast/ now!

• Printify (Print on Demand Fulfillment) → https://bit.ly/POD_Printify• Kittl → https://bit.ly/KittlBrands• MyDesigns → http://bit.ly/PODMyDesignsGoogle Sheets formula for text variables (example):="This text is hard coded, and the following text will be a variable: "&A1&""

Ein Intraoralscanner ist nur der Ausgangspunkt für einen wirklich digitalen Workflow in der Kieferorthopädie. Die größten Effizienzgewinne entstehen nach dem Scan – wenn die Praxis die Kontrolle über digitale Daten, Laborprozesse, Bissregistrierung, Modellorientierung und indirektes Bonding selbst übernimmt. Du erfährst, wie ein strukturierter Post-Scan-Workflow manuelle Laborarbeit reduzieren, die Prozesskontrolle verbessern und eine effizientere digitale Arbeitsumgebung für Dein KFO-Team schaffen kann. Das lernst Du in dieser Episode: - Warum die reine Scanzeit nicht der entscheidende Maßstab für digitale Effizienz ist - Wie die digitale Modellaufbereitung traditionelle Gipsprozesse ersetzen kann - Warum eine präzise Bissregistrierung und anatomische Zentrierung entscheidend sind - Wie digitales indirektes Bonding die Bracketpositionierung und den Workflow verbessert - Warum Inhouse-Kompetenzen entscheidend sind, um das volle Potenzial des Scanners auszuschöpfen -- Hi, buche hier Dein Strategiegespräch und wir besprechen wie Du einfach und zügig mehr aus Deiner Praxis machst: www.dr-martin-baxmann.de - Zu meinen Büchern, Kursen, Fanartikeln und zu meinem Laborshop geht es hier: https://www.myortholab.de/shop/ Ich freue mich auf Deinen Besuch! - Schau Dir auch mal die Webseite an: www.leanorthodontics.com Dort kannst Du dann auch meinen Blog lesen, falls Du Dich immer noch nicht traust, mir endlich im Kurs gegenüberzutreten. Ich würde Dich so gerne kennenlernen! - Aber wenn Dir unsere Art zu denken und zu arbeiten so richtig gut gefällt und Du das Gefühl hast "da muss ich hin", dann komm an Bord! Genau so sind schon einige unserer tollen Teammitglieder zu uns gekommen. Schau Dir hier Deine Karrieremöglichkeiten an und lade Deine Bewerbung hoch: https://www.orthodentix.de/stellenausschreibungen/ Dein Dr. Dr. Martin Baxmann

Cody Schneider joins Eric Siu to walk through how he builds AI marketing workflows: customer research to ad scripts and voice tracks, LinkedIn engagement to outreach, and a LinkedIn article to a live Google ranking check. We also cover the infrastructure, brand checks and testing process behind the work. The 250,000 monthly LinkedIn DMs mentioned in the conversation are a Nick Abraham example Cody cites. The live demo shows leads and a sequence prepared, not messages sent. The ad videos were still rendering at the end. The ranking and client performance figures are examples from the conversation, not guaranteed results. Chapters 00:00 11,000 ads: volume and brand checks 00:19 Ad workflow: research, scripts and voice tracks 09:24 LinkedIn outreach: targeting, offers and scale 20:23 SEO workflow: write, publish and check the ranking 26:11 The infrastructure behind all three workflows 32:27 Test ad creative and improve what works 34:31 Build, measure and next steps How to Connect IG: / ericosiu X: / ericosiu

What are drivers of stress and satisfaction in the radiology workplace? Pranjal Rai, MD, discusses this article by Ayyala et al. that explores this issue among radiologists, technologists, nurses, and other staff. Full article: Sources of Work-Related Stress and Satisfaction in Radiology: A Survey of Faculty, Technologists, Nurses, and Other Staff

George Wells calls AI the greatest invention humankind has ever seen, believing the long-term thesis for the new technology stands. It also comes with changes to the job market, as George points to administrative and data-entry roles becoming "redundant." However, he says he keeps guardrails on AI products he uses as LLMs learn workflow creation. ======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Your dental schedule should do more than fill appointment times. It should help patients find you, make online booking easier, support your production goals, and keep your day running on time. In this episode of the High Performing Dental Team Podcast, Dayna Johnson takes one of her favorite practice management software features from her recent AADOM presentation and applies it specifically to the Dentrix community: Perfect Day Scheduling. She explains how thoughtfully mapping your Dentrix schedule can support online booking, improve patient access, simplify team workflows, and create a more productive day. Pasted text With patients increasingly using AI tools to search for dental practices, convenient access and online scheduling are becoming even more important. Dayna shares how Dentrix Perfect Day Scheduling can help practices prepare for this shift while still maintaining control over where patients can book. ✅ Key Takeaways - Why Dentrix Perfect Day Scheduling is becoming even more important as online booking and AI-powered search evolve. - How patients may use conversational AI tools to search for a dentist based on insurance, family needs, location, and appointment availability. - Why reducing barriers between finding your practice and booking an appointment online can improve the patient experience. - How to use Dentrix Perfect Day blocks to control which appointment times are available for online scheduling. - Why new patient blocks should be strategically positioned alongside procedures where the doctor is less captive. - How mapping your schedule horizontally can help your clinical team work more efficiently. Pasted text - How Perfect Day Scheduling can help new team members understand where specific procedures belong. - Why schedule blocks can support your daily dental production goals and create more consistency across the team. - How strategic scheduling can help protect lunch breaks and keep your team from routinely running late at the end of the day. - Why a well-designed Dentrix schedule can improve both practice productivity and the patient experience.

“Dictation can be a creative process partner, meaning it can help you think through ideas at the idea phase.” — Beth BaranyIn the latest How To Write the Future podcast episode, titled “Dictating Fiction: Tools and Workflow,” host, Beth Barany shares how she uses dictation as a tool in her fiction and nonfiction writing process and why it's been helpful to how she writes, plus she shares the apps or websites she's found most useful. There's also a special mention of the fiction dictation app from Sarah Elisabeth Sawyer. ABOUT THE HOW TO WRITE THE FUTURE PODCASTHow To Write The Future is a podcast for science fiction and fantasy writers who want to imagine better worlds—and write stories that bring those futures to life. Each episode offers practical craft guidance, creative prompts, and big-picture inspiration to help you draft, revise, and publish with purpose.ABOUT BETH BARANYBeth Barany is an award-winning fantasy and science fiction novelist and creativity coach for writers. She helps science fiction and fantasy novelists write, revise, and publish stories that matter by blending practical craft guidance with a commitment to imagination, possibility, and how stories shape our world.RESOURCESSarah Elisabeth Sawyer's Fictation resources:Her app: https://www.fictateapp.com/r/RF3GGCAKFree Dictation for Authors Quick Start Guide is here.Fictation® course, the full digital course: (30% off for my audience) https://fictioncourses.thrivecart.com/fictation/?coupon=WRITETHEFUTURE (code: WRITETHEFUTURE)Her podcast: “The Confident Fiction Author”: https://fictioncourses.substack.com/s/the-confident-fiction-author-podcast***Support the podcast! https://ko-fi.com/bethbaranyGet the workbook: https://writersfunzone.com/blog/world-building-resources/Join the Edit Lab! https://bethbarany.com/editlab***SHOW PRODUCTION BY Beth BaranySHOW CO-PRODUCTION + NOTES by Kerry-Ann McDadeEDITORIAL SUPPORT by Iman Llompartc. 2026 BETH BARANYhttps://bethbarany.com/Questions? Comments? Send us a text!Support the show---♦︎ JOIN THE MEMBERSHIP: For fiction writers! You've finished your first draft! Congrats! Now what?Join the Edit the Future: Sci‑Fi/Fantasy Revision Lab. Get premium weekly lessons and a monthly Q&A on Zoom. Subscribe: https://www.buzzsprout.com/2012061/subscribe♥︎ FREE: Sign up here for the Edit Your Novel ChecklistHelps writers revise faster with less overwhelm by focusing first on diagnosis, not fixing. Get yours at http://edityournovelchecklist.com.♡ SHOP: Sci‑Fi & Fantasy 24 Writing Prompts: https://ko-fi.com/s/4ac9160a74❤️ Want to be interviewed on the podcast? => Email us!CONNECT WITH BETHvia emailvia LinkedInCREDITSEDITED WITH DESCRIPT (Affiliate link)MUSIC: Uppbeat.ioDISTRIBUTED BY BUZZSPROUT: https://www.buzzsprout.com/?referrer_id=1994465

In today's Cloud Wars Minute, I unpack Workday's move toward agentic contract lifecycle management and greater workflow automation.Highlights00:03 — Workday has announced that its next mission is to bring agentic AI across the entire contract lifecycle, instead of just AI for individual contract-related tasks. The company is launching the Workday Contract Workflow Agent, which is now in early access.00:22 — But before I get into that, I want to share some other findings that kind of support Workday's intentions here. The company recently conducted a survey of nearly 7,000 professionals and found that 89% said their organizations routinely absorbed financial losses from vendor contracts that auto-renew without anybody's knowledge.00:44 — So, to support this and other processes across contract creation, negotiation, execution, management, compliance, and renewal, the company has launched the Workday Contract Workflow Agent, which is one of a series of major enhancements coming to Workday Contract Lifecycle Management, or CLM, and described as the 'beginning of a new era of agentic CLM."01:09 — The overall goal is to automate more of the manual work involved in managing contracts, connect those tasks with broader business workflows, and it really chimes with Workday's wider vision, which is to embed agentic AI into enterprise workflows, rather than treating AI as a separate tool.01:31 — I think that's what makes the company's approach particularly interesting in the enterprise AI space. It's not just about giving employees another AI assistant, but about embedding agents directly into the workflows that run the business. Visit Cloud Wars for more.

ABSTRAKTE FOTOGRAFIE: https://www.eventbrite.nl/e/fotowalk-abstrakte-fotografie-tickets-1999691209237?aff=vitalibrikmann PORTRAITS: https://www.eventbrite.nl/e/fotowalk-portraits-mit-vorhandenem-licht-tickets-1999687663632?aff=vitalibrikmann LICHT & GLAS: https://www.eventbrite.nl/e/fotowalk-licht-glas-kreative-straenreflexionen-tickets-1999693147033?aff=vitalibrikmann

In diesem Nuendo-Tutorial zeige ich die adaptive Hintergrundabsenkung an einem Ausschnitt aus einer Planetariumsshow. Mit Sprache als Vordergrundsignal sowie Musik und Effekten im Hintergrund lasse ich im Profil Audio Description automatisch Lautstärkeautomation erzeugen. Hörbeispiele zeigen, wie die Stimme verständlich bleibt und die Musik in Sprachpausen wieder Raum bekommt. Außerdem zeige ich, dass Musik und Effekte gemeinsam abgesenkt werden, welchen Einfluss der Clip-Gain-Pegel auf das Ergebnis hat und wie sich der Workflow von klassischem Sidechain-Ducking unterscheidet. Die erzeugten Automationsdaten bleiben nachträglich editierbar. Wenn ich Dir helfen konnte, freue ich mich über einen virtuellen Kaffee ;-) https://ko-fi.com/timheinrich Zum kostenlosen Cubase-Stammtisch anmelden: https://subscribepage.io/1D69jt Podcast: https://sounthcast.podbean.com/ https://sounth.de https://www.facebook.com/tim.heinrich.524/ https://www.instagram.com/tim_heinrich/ Facebook-Gruppe „Filmmusik komponieren & Sounddesign“: https://www.facebook.com/groups/309751689699537 Mein Shop: https://www.audiobrix.de Dieses Video ist auch auf YouTube zu sehen: https://youtu.be/IuOeSEYFNNI?si=hEOhwTKRQSR_3-vY

In this episode, Graciana Garces, Chief Strategy & External Affairs Officer, Tejano Center for Community Concerns, Susan Boland, Manager of Nursing Operations, Avenue 360 Health & Wellness, and Eryn Sims, LVN & Hypertension Nurse Champion, Avenue 360 Health & Wellness, discuss building sustainable, community-centered approaches to hypertension care through food access, education, remote monitoring and personalized patient support. They also share lessons on overcoming transportation, technology and care coordination barriers while strengthening partnerships between community organizations and healthcare providers. 

AI hype makes it sound like the future is a winner-take-all race between humans and machines. We take a different angle: AI is becoming a mirror that shows organizations the truth about how work gets done, including the messy, undocumented parts nobody puts in the handbook. When you connect AI to the tools where work actually lives (email, chat, meeting transcripts, spreadsheets, shared docs), you are not just adding productivity software. You are turning daily behavior into something that can be searched, summarized, and questioned. That can be liberating, and it can also be uncomfortable. My guest, enterprise technologist and author David Dean, explains why the “inbox” is really a behavioral record and why the gap between the official process and the real process is where most companies get stuck. We dig into approval bottlenecks, meeting overload, and the quiet workarounds people build to keep things moving. Then we tackle the hard warning: if you automate a bad process, you do not get efficiency, you get faster dysfunction, and you pay for it at scale. AI can also create an illusion of productivity, producing polished outputs while goals stay unchanged, unless leaders and teams keep judgment and accountability where they belong. We also talk about what AI reveals inside culture: missing decision ownership, uneven responsiveness, and the kind of behavioral analytics that forces authenticity from leaders. For employees, we explore a practical “step zero” approach to organizational self-discovery, plus why lived experience and lived consequence still matter even in a world of powerful models. If you want a smarter, more realistic AI strategy for modern work, listen now, then subscribe, share this with a teammate, and leave a review with your biggest takeaway. What would AI uncover in your organization if you let it look at how work really happens?Join the What if it Did Work movement on FacebookGet the Book!www.omarmedrano.comwww.calendly.com/omarmedrano/15min

How do you balance the mindset of a recording artist with the vision of a video director? In Episode 4 of The Up LINC, host Josh sits down with Dante Garcia, who is utilizing the studio to tackle a massive creative milestone: recording his debut studio album and shooting his entire visual marketing rollout at the same time. Dante breaks down the sonic inspiration behind his upcoming record, his strategy for batch-creating short-form video content during tracking sessions, and shares a golden "Pro Tip" for independent musicians looking to streamline their workflow and build hype. In this episode: Capturing the right vibe for a debut studio album. Strategies for executing simultaneous audio recording and visual marketing. Workflow and pacing tips for independent creators. Inspired by Dante's story? The LINC Studio at the High Plains Library District in Greeley is equipped for your next big project. Book your session today to track an album, shoot a video, or launch your own podcast.

Is your reselling business organized—or are you constantly wondering where you put that sold item? In this episode of Consignment Chats, we're talking about how to organize your reselling business to save time, reduce stress, and get more done.From inventory management and listing workflows to shipping stations, time management, and your Money Mountain, we're sharing simple reseller organization systems that actually work.Because organization isn't about having a Pinterest-perfect workspace—it's about making your business easier to run and easier to grow.

The Big Unlock · Don Woodlock, President, InterSystems In this episode, Don Woodlock, President of InterSystems, discusses what it takes to make AI work effectively in healthcare. He emphasizes that organizations need to look beyond models and focus equally on use cases, ROI, change management, data, and integration. AI needs to be connected to the right data, context, procedures, and skills to deliver value within an organization. Don emphasizes that healthcare remains a human endeavor. AI can summarize complex patient information and help clinicians consider additional possibilities, but it should support human decision-making rather than replace it. He sees agentic AI helping with administrative tasks, reducing burden, and improving access, with human oversight remaining essential. Don believes AI-native healthcare requires AI to be embedded directly into products and workflows. Rather than bolting AI onto existing software, the opportunity is to rethink how users interact with systems, allowing them to state what they want accomplished while the technology handles the underlying work. Take a listen. This guest appearance was facilitated through conversations initiated at HIMSS.

Kane Parsons was 19, had never worked inside a professional visual effects pipeline, and had taught himself the shots he needed in Blender in his bedroom. Edward Douglas, VFX supervisor on Backrooms (also Long Legs, Keeper, and multiple Oz Perkins films), built the production pipeline to fit him: direct access to vendor files, animation, and cameras, so Kane could work the same way he always had. The film delivered 600 VFX shots inside an 830 shot runtime, on an indie budget and timeline. Chris and Daniel connect this to the same shift they discussed with Peter Timberlake on Obsession: movies built on constraint outperforming movies built on scale. Douglas walks through the CG grounding rule that shaped the film (the practical hat that never gets replaced), the VHS pass every found footage frame ran through, and why horror keeps producing the year's most interesting visual effects work while franchise budgets keep climbing. Guest links Edward Douglas on IMDB > Edward Douglas on LinkedIn > Tools and companies mentioned Blender, A24, Roxel Creative, Zoic, Red Komodo, After Effects, Electronic Arts, BioWare, Long Legs, Pig, The Monkey, Keeper, Oz Perkins films Special thanks to our premier sponsor: CenterGrid Virtual Studio >

Hoy en el episodio 833 te traigo algo que llevaba tiempo queriendo hacer: montar workflows de IA que funcionen de verdad en tu Linux, sin depender de servicios externos, sin GPUs, y sobre todo, sin malgastar tokens en tonterías.Hasta ahora hemos hablado de piezas sueltas: Ollama, skills, MCPs, agentes... pero todo eso suelto no te sirve para nada. La gracia está en combinarlo. En este episodio te enseño 4 workflows completos implementados en Rust que he puesto a funcionar en mi propio equipo, y que puedes adaptar al tuyo sin necesidad de ser un experto.La base del sistema es sencilla: Llama 3.2 3B para generación de texto (~2 GB, funciona en CPU), bge-m3 para embeddings multilingües (~1.2 GB), y binarios Rust compilados estáticamente que no necesitan ninguna dependencia del sistema. Con 8 GB de RAM tienes de sobra.Workflow 1 — noticias-bot: un bot que monitoriza feeds RSS, los filtra por palabras clave, los resume con Llama 3.2 local, y los publica automáticamente en Telegram. Funciona como servicio persistente 24/7, no como un script que ejecutas a mano. Cada feed tiene su propio intervalo de actualización y sus propias keywords. Lleva deduplicación con SHA256 y SQLite para no repetir artículos.Workflow 2 — tareas-bot: un gestor de tareas GTD vía Telegram. Le escribes un mensaje al bot, y la IA lo clasifica al instante: decide si es una tarea, le asigna prioridad y categoría, lo guarda en SQLite, y te confirma en el chat. Sin abrir ninguna app de tareas, sin salir de Telegram.Workflow 3 — monitor-bot: un monitor de sistema inteligente con 5 tipos de chequeo: disco, servicios, memoria, logs del sistema y contenedores Docker. Y aquí viene lo interesante: solo usa la IA cuando realmente hace falta, para analizar logs. Los checks normales son deterministas, sin LLM. Así no malgastas recursos ni tokens. Incluye rate limiting y remediación automática.Workflow 4 — investigador RAG: un asistente de investigación con RAG local. Le haces una pregunta, genera consultas de búsqueda, las lanza contra SearXNG, descarga las páginas en paralelo con tokio, las procesa con embeddings de bge-m3, y te da una respuesta con sus fuentes. Todo en un solo binario Rust, sin Python, sin dependencias del sistema.Todo esto desplegado con systemd o Docker, como servicios que arrancan solos y se mantienen funcionando. Y lo mejor: con modelos que caben en cualquier máquina con 8 GB de RAM y sin GPU.Capítulos del episodio:0:00 — Introducción: del caos de herramientas a los workflows IA2:30 — ¿Qué es un workflow de IA? Skills, MCPs y prompts combinados5:00 — Arquitectura: Rust, Ollama y Docker como base del sistema8:00 — Ejemplo 1: noticias-bot — RSS filtrado a Telegram11:30 — Demo del noticias-bot: publicación automática de noticias14:30 — Ejemplo 2: tareas-bot — clasificación GTD vía Telegram17:30 — Demo del tareas-bot: "hola" vs "comprar ciruelas"20:00 — Ejemplo 3: monitor-bot — alertas de sistema con IA22:30 — Ejemplo 4: investigación asistida con RAG local26:00 — Demo del investigador: consulta sobre Podman 629:00 — Ventajas, conclusiones y despedidaMás información y enlaces en las notas del episodio

Easy Email Marketing is now That Systems Show. Same Yael, wider lane.In this short one I share why the name changed, what I kept finding under the bonnet of every email marketing job, and what you can expect from here: your strategy, your tech and tools, mixed with a dose of reality.There's plenty coming. Episodes on what a system is and the misconceptions that trip people up, behind the scenes of this repositioning (which threw up a fair few systems problems of its own), and interviews inside other business owners' setups so you can see what's possible and pinch what works. Follow the show in your favourite podcatcher so you don't miss one.

Have you ever had someone review your pull request, make changes without telling you, and just merge it in?In the latest episode of the No Compromises podcast, we discuss whether the traditional code review workflow still makes sense in a world where AI tooling lets developers move faster than ever.Aaron shares two real situations where a reviewer fixed and merged code without discussion, and we dig into why the lack of communication is the real problem, not the act of fixing things itself.We also get into commit strategies, how friction in reviewing someone else's changes kills the learning, and why well-worn workflows deserve a fresh look when the tools around them have changed.(00:00) - When a reviewer merges your PR without asking (03:31) - How we handled it differently with time pressure (05:43) - Should the reviewer just fix it and merge? (08:02) - Too many commits create friction for the author (13:44) - Silly bit Get the kind of dev insights that make you rethink everything, delivered to your inbox via the Mastering Laravel newsletter. Your team is not the only one figuring this out. Join the conversation in the No Compromises community. 

Discover the overlooked advanced settings in Windows 11 that can transform how you manage apps, files, and even the command line. These features aren't just for developers—every power user should know about them. Host: Paul Thurrott Download or subscribe to Hands-On Windows at https://twit.tv/shows/hands-on-windows Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsors: trustedtech.team/twit bitwarden.com/twit

Discover the overlooked advanced settings in Windows 11 that can transform how you manage apps, files, and even the command line. These features aren't just for developers—every power user should know about them. Host: Paul Thurrott Download or subscribe to Hands-On Windows at https://twit.tv/shows/hands-on-windows Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: trustedtech.team/twit

Discover the overlooked advanced settings in Windows 11 that can transform how you manage apps, files, and even the command line. These features aren't just for developers—every power user should know about them. Host: Paul Thurrott Download or subscribe to Hands-On Windows at https://twit.tv/shows/hands-on-windows Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsors: trustedtech.team/twit bitwarden.com/twit

**In Session 5 of the Ahead of the Curve – Summer Webinar Series, Heather sits down with Vince Costanzo and Ronald Collins of RxBLU to talk about the Pharmacy Operating Platform, or POP™, and why this approach could change the way independent pharmacies think about their technology.**   **Show Notes:** 1. **Introduction** [0:00] 2. **RX Blue Product Overview** [4:18] 3. **Workflow and Customization** [9:04] 4. **Cloud Security and Connectivity** [15:13] 5. **Ownership and Onboarding** [21:07]   ----- #### **Becoming a Badass Pharmacy Owner Podcast is a Proud to be a part of the Pharmacy Podcast Network**

The Big Unlock · Roberta L. Schwartz, PhD, EVP, Houston Methodist Hospital and CIO, Houston Methodist In this episode, Roberta Schwartz, Executive Vice President at Houston Methodist Hospital and Chief Innovation Officer at Houston Methodist, explores how healthcare is moving from AI hype toward a more mature, outcomes-driven approach to innovation. She argues that as technology companies expand beyond traditional “swim lanes,” health systems must become more thoughtful about selecting platforms that can address multiple needs while avoiding fragmented solutions. Roberta emphasizes that technology alone does not create transformation. Successful AI adoption requires rethinking workflows, redesigning processes, and measuring whether technology improves care, strengthens the workforce, and reduces costs. She shares Houston Methodist's approach of bringing operators and IT leaders together to evaluate innovation through both frontline impact and ROI. She also discusses agentic AI, virtual care, and centralized specialty services as ways to expand access and improve workforce efficiency. Her message to healthcare leaders is to remain optimistic but skeptical: define trials, measure outcomes, question assumptions, and ensure every technology investment delivers meaningful value. Take a listen.

See what the team at The Successful Bookkeeper has on right now → If you have ever wondered what it actually looks like to build AI into your accounting practice — not in theory, but day-to-day — this episode is for you. Sam Leon, CPA and founder of TaxWeave, joined guest host Louie Prosperity to share exactly how he went from experimenting with ChatGPT to building his own secure AI platform for tax professionals. The conversation is practical, honest about the risks, and full of ideas you can act on right away. Chapters [00:00] Introduction and Sam's Background [02:45] Why Sam Chose Claude Over Others [06:30] Claude Code: Beyond Just Chatting [09:30] Workflow Automation for Bookkeepers [12:30] The Data Security Problem [16:30] Building TaxWeave as a Secure Platform [20:00] Top AI Tasks to Tackle First [24:00] Keeping Up as AI Models Evolve [26:30] How Sam Checks His AI Outputs [28:30] Where to Find Sam and TaxWeave Here's a special gift for YOU. Visit Plooto.com/TSB and try it for FREE for two months! That's a FREE 30-day trial, plus an extra free month for Successful Bookkeeper podcast listeners! Don't miss out, sign up TODAY! From Curiosity to Real Workflows Sam has been watching technology waves roll through the accounting profession for years — cryptocurrency, machine learning, practice management software. When AI chatbots arrived, he started testing them immediately, but it was a specific feature of Claude that changed how he worked: the ability to connect the tool directly to files on his computer. "That's how I got started with a lot of the more time-saving workflows that I was doing," he explains. The shift from chatting with AI to feeding it real documents opened the door to genuine time savings rather than novelty. The Tasks Best Suited for Automation Sam is direct about where AI earns its keep: document summarization, transaction categorization, and building QuickBooks rules. He recently spoke with a bookkeeper who used AI to generate an extensive list of transaction rules that could be imported straight into QuickBooks — a task that would have taken hours to build manually. His broader advice is to start with tasks that are data-heavy and repeatable, then layer AI on top of the tools you already use rather than replacing them outright. Handling Sensitive Data the Right Way This is where Sam slows down and gets careful, and so should you. For tax professionals in the US, IRS Code Section 7216 governs what client information can be shared with third-party systems — and most AI platforms have not yet been through the kind of SOC 2 certification process that established tax software has. Sam's personal rule: never upload anything containing Social Security numbers, EINs, or last names. For bookkeeping work, he sees a slightly lower barrier since transaction lists are often less personally identifying, but the principle holds. "Being more cautious than not — if you're unsure about it, probably take another step to make sure that information really doesn't have any personal identifying information on it." Upgrading to a Teams or Business plan on these platforms also adds a layer of data protection over personal accounts. Building TaxWeave: From Workaround to Platform The manual redaction problem — using Adobe to black out client details before running documents through AI — was slow and error-prone. That frustration pushed Sam to start building TaxWeave, a platform designed to handle the redaction automatically inside a secure environment, then run AI workflows on the cleaned documents. He built the initial prototype using Claude Code, which lets you describe what you want in plain language and generates the underlying code. "The barrier where you had to understand how to do that — it's removing that," he says. TaxWeave currently focuses on tax practice project management and client organization, with AI workflow integration being the layer built on top. Keeping Up as the Models Keep Changing AI models update constantly, and Sam's advice is to treat your workflows the same way you treat your engagement letters — review them periodically and adjust. He recommends using the Projects feature in Claude to maintain context across sessions, and revisiting your saved instructions whenever a new model version drops. You can even ask the AI itself what needs updating. For quality control, Sam still does his own research to verify AI-generated answers and checks outputs manually, paying attention over time to where the tool is weakest. "You can start to see what it's weaker on — what kind of things does it always miss — and what you can start trusting it with." Links Mentioned TaxWeave: taxweave.ai Sam Leon on LinkedIn: search Samuel Leon CPA Claude (Anthropic): claude.ai PureBookkeeping: purebookkeeping.com Pluto (sponsor): pluto.com/tsb About the Guest Sam Leon is a CPA with 14 years of experience in tax accounting, specializing in corporate tax, startup tax issues, R&D credits, and individual returns. After building his solo firm, The Millennial CPA, he was recognized in the 2026 Accounting Today Best Firms for Technology Awards. He is currently developing TaxWeave, an AI-powered platform built specifically for tax practices, and is active in conversations across the profession about safe, practical uses of AI in accounting.

In this episode, we revisit four powerful JAWS features that can make everyday computer tasks more efficient and accessible: Skim Reading, Speech and Sound Schemes, Dictionary Manager, and Text Analyzer. Whether you're a longtime JAWS user looking for a refresher or discovering these tools for the first time, you'll learn how these often-overlooked features can help you navigate documents, customize how JAWS presents information, catch formatting and spacing issues, and tailor speech and pronunciation to your needs. The episode also explores practical questions from JAWS users, including working with these features in Microsoft Word, Outlook, Excel, Google Docs, and web applications, as well as tips for managing settings and preserving customizations. Discover how these classic JAWS tools can help you work more efficiently, troubleshoot common document issues, and get even more out of your screen reader.

In a turbulent, over-hyped, and deeply human AI era, what does it actually take to lead well? In this episode of DisrupTV, hosts R "Ray" Wang and Vala Afshar bring together four leaders whose work spans human psychology, national security crisis response, enterprise AI strategy, and M&A IT leadership — and who all arrive at the same essential insight: the technical and the human are not separate problems. Maria Ross, author of The Empathy Dilemma, reframes empathy as information gathering — a performance multiplier, not a distraction — and shares the five pillars of empathetic and effective leadership: self-awareness, self-care, clarity, decisiveness, and joy. She explains why clarity is itself an act of empathy, why ambiguity keeps people in survival mode, and what CEOs and boards should actually do differently to lead through change fatigue and workforce transformation. David Bray draws on his experience leading technology crisis response during 9/11 and the anthrax attacks to surface enduring lessons about agency, joy, and the tunnel vision that makes crises worse. He explains why teams that cannot find moments of lightness are neurologically unable to absorb what is coming next — and why the most powerful question a leader can ask in chaos is not what do we do, but why are we here and where do we want to go together. Hiral Chandrana, CEO of Veltris, makes the case that true AI ROI only materializes when you change the economics of specific industry workflows — not when you deploy AI broadly and hope for the best. He breaks down the healthcare opportunity (where 25% of a $4 trillion industry is administrative overhead), the emergence of physical AI in robotics and industrial automation, and why the CIOs who become genuine growth partners will be the ones considered for CEO and Chief Strategy Officer roles. Jason James, CIO of Aptos and author of Make IT Work, introduces the concept of Eclipse IT — the phase beyond shadow IT where AI is not lurking in the background but eclipsing every process and governance structure in the organization. He shares what the pre-deal secrecy phase of M&A really looks like, why no playbook survives first contact with reality unchanged, and why his hiring philosophy for turbulent environments is simple: I can beats IQ. Whether you lead people, deploy AI, navigate M&A, or simply want to understand what great leadership looks like in a world that has no historical playbook, this episode offers four of the most grounded and complementary perspectives DisrupTV has brought together in a single conversation.

“Every phone call is revenue.” Connect With Our SponsorsSolventum - https://go.solventum.com/clarityGreyFinch - https://greyfinch.com/jillallen/A-Dec - https://www.a-dec.com/orthodonticsSmileSuite - https://getsmilesuite.com/ Summary In this episode of the Hey Docs! Podcast, Jill Allen welcomes back Richard May, VP of Business Development at Mango Voice, to discuss how AI-driven communication tools are helping orthodontic practices handle staffing challenges, reduce administrative burden, and improve patient experience. Richard explains Mango Voice as an AI voice platform covering phone systems, call recordings, virtual fax, and AI features like automated note-taking, sentiment analysis, and call filtering to identify both strong and problem calls for coaching. They explore how missed calls and voicemails cost practices revenue, and how Mango's AI receptionist “Margo” increases engagement compared to traditional voicemail. Jill and Richard also highlight AI-powered role-play phone training modules and integrated call summaries and transcripts that can auto-log into patient charts, improving workflow, documentation accuracy, and team development. Connect With Our Guest Mango Voice - https://mangovoice.com/ Takeaways Mango Voice focuses on AI voice solutions.Reliability and support are crucial for effective phone systems.AI note-taking can save time and improve patient documentation, reducing human error.AI receptionists can enhance patient engagement and reduce missed calls.Training front office staff is essential for maximizing revenue opportunities.AI tools can provide real-time feedback for improving communication skills.Role-playing with AI can enhance training for front office teams.Balancing AI and human interaction is key in healthcare settings. Documentation is crucial for effective healthcare communication.Recognizing team members boosts morale and productivity.Incremental improvements can lead to long-term success.Chapters 00:00 Introduction04:09 Why Phones Matter Now07:22 AI Notes and Call Coverage10:18 Call Data and Coaching Insights15:20 AI Roleplay Training Program19:24 Using AI Without Replacing Staff23:36 AI Notes for Clinics26:21 Standardized Call Summaries29:29 Workflow and Training Wins33:14 Culture and Team Recognition38:00 Small Changes Big Gains39:42 How to Get In Touch Episode Credits:  Hosted by Jill AllenProduced by Jordann KillionAudio Engineering by Garrett LuceroAre you ready to start a practice of your own? Do you need a fresh set of eyes or some advice in your existing practice?Reach out to me- www.practiceresults.com.    If you like what we are doing here on Hey Docs! and want to hear more of this awesome content, give us a 5-star Rating on your preferred listening platform and subscribe to our show so you never miss an episode.    New episodes drop every Thursday!   

FLOW Prayer Meeting at the FLOW Studio, 10th February 2026

FLOW Prayer Meeting at the FLOW Studio, 10th February 2026

What happens when the system goes down in a cyberattack? Ichiro Ikuta, MD, MMSc, speaks with cohosts Lindsey Negrete, MD, and Amy Maduram, MD about real-world vulnerabilities and consequences of cyberattacks in radiology. Listen to their discussion in episode 3 of Extreme Radiology, an AJR Podcast Series.  https://www.ajronline.org/doi/10.2214/AJR.26.35847 *Key Takeaways The Power Dynamics of Phishing: Hackers may impersonate department chairs or hospital CEOs using spoofed emails to pressure staff into handing over login credentials. Always verify suspicious requests via a direct phone call or in-person conversation. The Threat of Outside CDs: Discs containing outside imaging studies are major vectors for malware. To help prevent spreading a digital infection, outside CDs should be uploaded in isolated, dedicated environments rather than directly on standard clinical workstations. AI and Blockchain in Cybersecurity: While blockchain technology offers decentralized tracking to protect financial and patient data, artificial intelligence is a double-edged sword, equipping both cybersecurity defenders and malicious hackers with significantly more powerful tools. *Chapters 0:00 - Opening 2:07 - Why Cybersecurity Matters 4:15 - How Hospitals Get Hacked 8:31 - Spotting Phishing Tricks 11:24 - When Systems Go Down 14:40 - Legal Duties and Training 16:25 - Recovery and Backlog Reality 20:01 - AI and Blockchain Threats 22:39 - Can You Hack It? Game 27:32 - Radiology Targets and Defenses 30:05 - Wrapping Things Up Follow AJR on Social Media LinkedIn: https://www.linkedin.com/showcase/ajr-radiology/ YouTube: https://www.youtube.com/channel/UCfFAYezkLMxJGMgIJLN0Dpg Instagram: https://www.instagram.com/ajr_radiology/ TikTok: https://www.tiktok.com/@ajr_radiology X: https://x.com/AJR_Radiology BlueSky: https://bsky.app/profile/ajrradiology.bsky.social *These sections were generated using artificial intelligence (Descript and Google Gemini) and then reviewed for accuracy.

Most creators think growing a podcast means piling on more work and chasing a bigger audience. Maggie Perotin built her coaching business on the opposite move: simplify the work, show up on a steady schedule, and let a small, loyal audience find her.In this episode of Podcasting Secrets with host Nathan Gwilliam, Maggie shares how an AI transcript workflow cut hours off her editing without wrecking the quality, how publishing on a steady schedule for years built the credibility that quietly brings her coaching clients, and why your values, not your logo or your color palette, are the real brand your audience feels in each interaction.What if the highest-leverage way to grow your show is to do less of the work that drains you?Maggie's answer starts with the task most creators dread, editing, and it points straight at the hours you can win back. Subscribe and follow Podcasting Secrets on Apple, Spotify and YouTube for weekly strategies from creators building shows that last.Grab your FREE copy of the 101 Podcasting Secrets Guide by signing up for the newsletter at podcastingsecrets.com.Follow, Like & Subscribe: Podcasting Secrets:Website: https://podcastingsecrets.com/YouTube: https://www.youtube.com/@podcasting-secretsInstagram: https://www.instagram.com/podcastingsecrets/LinkedIn: https://www.linkedin.com/company/poduppodcasting/Apple: https://podcasts.apple.com/us/podcast/podcasting-secrets/id1726056241Spotify: https://open.spotify.com/show/0edA45tyPxFRfiUmDxYSUjNathan Gwilliam:LinkedIn: https://www.linkedin.com/in/nathangwilliam/Website: https://podup.com/Podcasts: Why We Believe: https://whywebelieve.com/Podcasting Secrets: https://podcastingsecrets.com/Maggie Perotin:Website: https://stairwaytoleadership.com/LinkedIn: https://www.linkedin.com/in/maggie-perotin-business-and-leadership-coach/YouTube: https://www.youtube.com/channel/UCy6UbOMC2rosihF-aQPPRgQ

What happens when a one-hour conversation with a financial advisor creates an entire day of paperwork behind the scenes? In this episode of Tech Talks Daily, I speak with Hardy Michel, Co-Founder of Marloo, about the administrative load limiting how many clients financial advisors can support. Hardy previously helped build retail investing platforms in New Zealand and the UK, where he saw people gain easier access to investments while personal financial advice remained harder to obtain. Before building Marloo, Hardy and his co-founders spent months inside financial advice firms. They interviewed managing directors, compliance leaders, support teams and advisors, then worked beside them as they moved between inboxes, planning tools, client records and compliance systems. This "go slow to go fast" approach helped the team map the complete advice process before deciding where software could remove friction. Hardy says a 60-minute client meeting can produce 10 to 14 hours of follow-up work. An advisor may need to document the discussion, demonstrate why the advice was suitable, complete product research and cash-flow modeling, record fees and disclosures, and prepare a client-facing report that can run to dozens of pages. According to Hardy, the cost and time involved have left some advisors unable to accept new clients for several years. Marloo began as a specialist meeting assistant because note-taking is frequent, painful and driven by regulation. Hardy explains how transcripts created a current source of client context that was often absent from static records. The company then expanded into the work that follows a meeting, including advice documents and presentations, with the longer-term aim of becoming a central working environment for an advice firm. We also discuss the trust required when AI handles personal and financial information. Hardy describes Marloo's zero-data-retention arrangements for certain model APIs and the security information it provides to firms. He argues that specialist systems need to demonstrate how client data is handled and give advisors language they can use to explain recording and transcription to clients. Adoption is another major theme. Hardy recommends a focused two-week trial with three to five likely power users, a defined goal and a clear measure of value. Rather than relying on a successful demonstration, firms should examine whether advisors continue using the product and are prepared to recommend it to colleagues. The strongest business outcome may be what advisors choose to do with the time returned to them. Hardy says some Marloo users have increased client meeting frequency from once or twice a year to five or six times. Should AI in financial advice be measured by the volume of cases completed, the quality of client relationships, or a combination of both? Listen to the episode and share your thoughts with me.

AI delivers value in the revenue cycle when it is built into well-designed workflows supported by reliable data, governance, and clear measures of performance. Navaneeth Nair, Chief Product Officer at Infinx Healthcare, joins Stuart Newsome to discuss where AI is working today, from prior authorization and coding to denial prevention, recovery, and enterprise workflow orchestration.

Thanks to our Partners: NAPA TRACS, Today's Class, KUKUI, and Pit Crew Loyalty Watch Full Video Episode What does a strong shop culture look like when you're the people living it every day? Bree Wismer, Service Advisor and Frontline Culture Leader, and Trevor Hinds, Operations Manager and Dispatcher at Empower Automotive in Traverse City, Michigan, take us inside the daily habits and communication practices that keep their team aligned, productive, and focused on the customer. Rather than approaching culture from the owner's perspective, Bri and Trevor share what happens on the front lines. They explain how Empower Automotive breaks down the traditional divide between the front counter and the bays, keeps everyone on the "same bus," and creates a workplace where every person understands their role, respects the team around them, and contributes to the same goal. What You'll Learn Why the front counter and specialists must operate as one team.How daily huddles and short training sessions keep the team aligned.Why the 1:00 PM check-in can prevent late-day customer surprises.Why a "no-update" update can be one of the most valuable customer communications.How to respond when customers arrive with AI-generated or parts-store diagnoses.How respect, communication, and accountability create confident professionalism. Building a world-class shop culture doesn't require a massive budget or a complicated organizational overhaul. By committing to these small, consistent actions, you can transform your shop from a high-stress environment into a thriving, unified business that both your team and your customers enjoy. Bree Wismer, Service Advisor, Frontline Culture Leader, Empower Automotive, Traverse City, MI Trevor Hinds, Operations Manager, Dispatcher, Workflow and Culture, Empower Automotive, Traverse City, MI NAPA TRACS will move your shop into the SMS fast lane with onsite training, six days a week of support, and local representation. http://napatracs.com/ Optimize training with Today's Class: In just 5 minutes daily, boost knowledge retention and improve team performance. https://www.todaysclass.com/ Stop juggling multiple marketing tools. KUKUI's integrated platform delivers 4x better website conversions, automated follow-up, and real-time ROI tracking. https://www.kukui.com/ You're probably tired of chasing new customers who never return. Pit Crew Loyalty ends the one-and-done cycle, turning first visits into lasting, reliable revenue at https://www.pitcrewloyalty.com/ Connect with the Podcast: Download and Listen on Our Mobile App: https://automotiverepairpodcastnetwork.com/app/Visit the Website:https://remarkableresults.biz/Subscribe on YouTube:https://www.youtube.com/carmcapriottoFollow on Facebook:https://www.facebook.com/RemarkableResultsRadioPodcast/Follow on LinkedIn:https://www.linkedin.com/in/carmcapriotto/Follow on Instagram:https://www.instagram.com/remarkableresultsradiopodcast/Join Our Virtual Toastmasters Club:https://remarkableresults.biz/toastmastersJoin Our Private Facebook Community:https://www.facebook.com/groups/1734687266778976Join our Insider List:https://remarkableresults.biz/insiderAll books mentioned on our podcasts:https://remarkableresults.biz/booksOur Classroom page for personal or team learning:https://remarkableresults.biz/classroomBuy Me a Coffee:https://www.buymeacoffee.com/carmSpecial episode collections:https://remarkableresults.biz/collections The Automotive Repair Podcast Network: https://automotiverepairpodcastnetwork.com/ Remarkable Results Radio Podcastwith Carm Capriotto:https://remarkableresults.biz/Automotive Field Theorywith Matt Fanslow https://mattfanslow.captivate.fm/Business by the Numberswith CPA Hunt Demarest: https://huntdemarest.captivate.fm/The Auto Repair Marketing Podcastwith Brian and Kim Walker:

Episode 11 If I took a look at your website, would I get a sense of who you are as a person or brand? Many experts struggle with putting themselves in their marketing because they are so focused on what they do. Why? Most people start with marketing, when they should start with their POV. This episode opens at Shawn's desk, mid website audit: a local therapist whose only line of personality ("If I ever ask you if you're fine, you can fire me") sits buried in a template from the late-90s internet. Her voice exists. The site hides it. And a stranger who can't see who you are won't buy. The usual fixes make this worse. AI polishes a site into sounding like everyone else. Outsourcing can run long and expensive; one coach paid five years of hosting and maintenance for a website that never brought her a client. Both fail for the same reason: AI, agencies, and teams are amplifiers, not sources. An empty input produces expensive generic output. Marketing is downstream of your voice. Shawn lived the upstream version of this. Ten years on YouTube, two into a podcast, and he could not say what made his content different from any other high-performance coach. The search that followed ran through show-premise work with Kevin from Grow The Show and Jeremy Enns of Scrappy Podcasting, and each fix moved further upstream: the premise was wrong because his voice was not in it. The Input/Output rebrand came out of that work, along with a rubric for auditing how voice, workflow, and confidence show up on an expert's website. Across coaches and therapists, three failure modes keep appearing: experts who can't explain what they do (voice), sites that say everything to catch everyone (confidence), and offer sprawl or no offers at all (workflow). Shawn ran the rubric on himself and found 420-some landing pages. The answer gets its first public airing here: the POV framework. Perspective is the lens, how you approach problems and what your prior career taught you. Opinions are the claims, where you break from your field's defaults. Vision is the direction, what you see for your clients that they can't yet see for themselves. Your voice is your POV expressed, and with those three in place, the same AI, the same designer, and the same website finally have something to amplify. The episode closes with the 3x3 exercise. Write three ways your perspective is unique, three opinions your peers would push back on, and three things you wish for your clients going forward. That page is the core of your POV and the guiding light for every piece of marketing you touch. → Want to go deeper? Book a Creator Diagnostic at shawnbuttner.com/clarity-call — a free half-hour call. Shawn reviews your website through the Voice, Workflow, and Confidence lens before you talk. Input/Output is the creator system for experts: people who built a track record in another career and are now turning that into a creator business. Hosted by Shawn Buttner, certified high performance coach. The premise is simple. You are the ultimate input into your creator system. Get yourself clear, and the tools, team, and content follow.0:00 Cold open — the therapist audit1:31 Show intro2:09 What experts want when it comes to marketing3:46 How experts undercut themselves (the failed fixes)6:25 Reorientation — I lived it (the search + the three failure modes)11:27 The POV framework (Perspective, Opinions, Vision)18:22 Wrap-up — the 3x3 + Creator Diagnostic

Live from ILTACON | Sponsored by Steno What if the next path for a lawyer isn't the traditional path to partnership? Live from ILTACON, David Cowen sits down with Megan McMillin, Legal Innovation Partner at Harvey, to explore one of the most important shifts happening in legal: the emergence of an entirely new career ladder around Legal AI. From Forward Deployed Legal Engineers to Legal Innovation Partners, firms and technology companies are building roles that combine legal expertise, workflow knowledge, technology and client value. The challenge? There is no established playbook yet. In this episode: Why Forward Deployed Legal Engineers are becoming an important new role Why firms need internal experts working alongside vendor engineers The power of combining legal workflow expertise with technical expertise Why successful AI implementation requires understanding the "why," not just the tool What it really means to embed AI talent inside a law firm How Forward Deployed Engineers could progress from building to managing, leading and setting strategy Why Legal AI could create a second career path for lawyers Why firms need to stop treating these roles as "off track" What law schools and firms need to rethink about developing future lawyers Why intellectual curiosity may be one of lawyers' greatest advantages in the AI era Chapters 00:10 | From Cleary to Legal Innovation Partner at Harvey 01:23 | The Rise of the Forward Deployed Legal Engineer 02:10 | Why Firms Need Their Own Embedded AI Expertise 03:18 | Pairing Vendor Engineers With Firm Experts 03:46 | Understanding the Tool, the Workflow and the Why 04:17 | Moving From AI Use Cases to Client Value 05:15 | Why Legal AI Isn't "Choose Your Own Journey" 06:04 | What Embedded AI Talent Really Means 07:09 | Building With the Customer, Not Just for Them 08:21 | The Five-Year Career Path for Forward Deployed Engineers 09:20 | Could Legal AI Become a Second Path to Partnership? 10:16 | Why New Legal AI Roles Command New Compensation 10:46 | There Is No Clear Career Path Yet 11:51 | Stop Trying to Fit New Roles Into Old Structures 12:37 | What Law Schools Need to Rethink 13:41 | The Lawyer's Superpower in the AI Era 14:36 | Why Intellectual Curiosity Matters More Than Ever The Career Signal There is no clear path. It's white space. It's a green field. That's exactly what makes this moment so important. The Legal AI career ladder is being built in real time. You can enter as a builder. Then manage. Then lead. Then set strategy and vision. For lawyers who don't see themselves following the traditional route to partnership, these roles may represent something much bigger than an alternative career. They may be the beginning of an entirely new path. And as Megan puts it, when lawyers and engineers bring their respective expertise together: "The best is yet to come. And we're building it together." Follow SOLID for more conversations with the leaders shaping what comes next in legal: https://solid.legal/

Campaign management still relies on manual, segment-based work. Isaac Ferreira, VP of Growth Systems and AI at Shift Paradigm, explains how to rebuild it with AI from scratch. He covers automating project scheduling and resource calendars, tracking completion across platforms, and moving from segment-based campaigns to true one-to-one personalization at scale.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Campaign management still relies on manual, segment-based work. Isaac Ferreira, VP of Growth Systems and AI at Shift Paradigm, explains how to rebuild it with AI from scratch. He covers automating project scheduling and resource calendars, tracking completion across platforms, and moving from segment-based campaigns to true one-to-one personalization at scale.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Being a content creator or influencer means wearing ALL the hats. Creating content, pitching brands, answering emails, researching opportunities, posting across platforms... the list never ends.But working hard doesn't mean you need to waste hours on tasks that could be batched, automated, or streamlined. In this episode, I'm sharing the time-saving strategies that I use at Sidewalker Daily, along with the productivity tips creators in our community are using to make their workflows more efficient. We're talking about everything from finding brand opportunities without hours of research and building a pitch template that actually works to batching your outreach, creating a content idea bank, repurposing content, automating emails, limiting distractions, and using accountability to actually get things DONE.The goal isn't to work less. It's to stop wasting your time on things you don't need to be doing manually.

Today's clip is from Episode 164, featuring Andrew Gelman, Aki Vehtari & Richard McElreath. In this conversation, Andrew explains why a Bayesian workflow goes far beyond simply fitting a model. He discusses the importance of building, fitting, and checking models, and why moving between simpler and more complicated models can reveal insights that a single model might miss. He also explores how simulation and generative modeling can help researchers evaluate new models and gain confidence in their results, even when there isn't an established method or published study to rely on. It's a look at why good statistical practice isn't just about getting an answer, but knowing how much you can trust it. Full discussion hereSupport & Resources→ Support the show on Patreon→ Bayesian Modeling Course (first 2 lessons free): Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!

You’re busy all day but still feel like you’re not getting enough done. The culprit isn’t your to-do list — it’s hidden workflow friction. In this episode, Thanh and Brooks walk you through a practical Workflow Friction Audit: how to spot the invisible drains like context switching, setup overhead, unclear handoffs, and rework — and […]

In this episode, Aleah Johnson, Senior Program Lead, American Heart Association, and Jilyana Miklos, Community Health Director, YMCA Buffalo Niagara, discuss how the YMCA is supporting hypertension awareness through blood pressure kiosks, self-monitoring programs, education and community partnerships. They also explore how community-based organizations can help connect patients with clinical care and promote heart health.This episode is sponsored by American Heart Association

Support & Resources→ Support the show on Patreon→ Bayesian Modeling Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome workTakeaways:Q: What is the "Bayesian Workflow" book about, and who is it for?A: It covers what the three authors know that isn't already in Bayesian Data Analysis (BDA3) or Statistical Rethinking, organized around case studies that walk through full analyses end to end rather than just giving a recommendation. It's not an introduction to Bayesian inference -- it assumes you already know the basics -- but a guide to making theoretically informed, professional decisions at the many branching points a real analysis involves that source books rarely acknowledge.Q: What's a concrete way to report Bayesian results without just handing over a posterior distribution?A: Report a few named scenarios from the distribution, such as pessimistic, median, and optimistic. This is easier to discuss than a full posterior and helps shift the conversation toward what would move outcomes from the median toward the optimistic case.Chapters:00:00:00 Who are this episode's three guests, and what is Bayesian Workflow?00:02:35 What's new: the LBS Instagram account and the Carnegie Mellon workshop?00:05:22 What is Richard McElreath's origin story, from anthropology to statistics?00:18:22 What is the elevator pitch for the Bayesian Workflow book?00:20:12 Where does workflow sit between statistical theory and case studies?00:27:21 Why express your scientific background in a generative model?00:35:04 What came out of the LBS listener contest?00:36:43 How is a Bayesian workflow different from a pipeline?00:39:03 What is reverse Bayes, and how does it help with prior sensitivity?00:43:53 How do Bayesians reinterpret non-Bayesian methods?00:45:02 How is the Bayesian Workflow book structured?00:46:51 Who is Dorota, the LBS contest grand prize winner?00:52:24 When does a hierarchical model stop being an innocuous assumption?00:58:17 Can multilevel regression and poststratification pool detection across sites?00:59:32 Why start with a big generative simulation before the statistical model?01:02:05 What is the "secret weapon" of comparing shrinkage to fixed-effects estimates?01:11:02 How do you detect which assumptions are actually driving your inference?01:15:24 How do you get regulated industries to accept a posterior instead of a score?01:22:04 Should statisticians soften uncertainty for decision makers?01:23:11 Why report three scenarios instead of a single number?01:25:16 How do you communicate survival probabilities to cancer doctors?01:27:51 How do you handle a leaky instrument in causal inference?01:29:16 What is a principal stratification model?01:34:47 What are the three authors working on next?01:39:53 If you had unlimited time and resources, which problem would you solve?01:41:26 Could statistical workflow be made more axiomatic?01:42:03 Which great scientific mind would you have dinner with?Thank you to my Patrons for making this episode possible!Links from the show

Should you text or email? Well, think about it. Who texts you that actually reads them - friends, right? Have you tested the SMS process?  Is it automated or manual? These make a difference for your high-end customers. Jim and Stew discuss the process and steps to help you make the most of the variety of ways you communicate with customers. For More info- Facebook Group – Sales Copy and Content Marketing Hacks at https://www.facebook.com/groups/copywritingandcontenthacks and for more information on the wizards used to make outstanding sales copy check out https://www.CopyandContent.ai