Podcasts about workflows

Insurance organizations unlock the greatest value from AI not by improving algorithms alone, but by embedding AI into customer education, data intake and analysis, and workflow guardrails that … Read More » The post Embedding AI Into Insurance Workflows: Where the Real Transformation Happens appeared first on Insurance Journal TV.

Insurance organizations unlock the greatest value from AI not by improving algorithms alone, but by embedding AI into customer education, data intake and analysis, and workflow guardrails that … Read More » The post Embedding AI Into Insurance Workflows: Where the Real Transformation Happens appeared first on Insurance Journal TV.

How are beauty and wellness business leaders actually using AI today?  That was the question posed to three longtime industry executives on stage during Glossy's annual E-Commerce Summit in Miami Beach earlier this month — and the answers may surprise you.  For example, Jenna Manula Linares, vp of digital marketing and TikTok Shop at Tarte Cosmetics, has recently added 15-minute team check-ins at the end of each weekly meeting that require staffers to share how they used AI that week and whether or not it was successful.  “We're creating a culture of experimentation,” she said. “So, what I challenge my teams to do each week is to use AI in a new or different way.” The team then tracks these challenges and results using Tarte's internal AI program.  Meanwhile, David Baker, chief revenue officer of the skin-care brand Beekman 1802, has found success in identifying early AI adopters within the brand and empowering them to learn new skills and own tentpole projects. “First and foremost, it's finding the people who have an interest in it, and giving them the room and space to play,” he said.  Baker is teaching his team to think of AI as a colleague that works while the rest of the team is off the clock. “Finding and sourcing creators gets really hard, so we've built an agentic staffer. Her name is Zoe, and Zoe is designed to source [creators] and draft personalized outreach, so that we can find people who fit our ethos and fit our brand voice really, really well at scale, while we sleep,” he said.  “AI has permeated every team and workflow we have at Tarte,” Linares said. “I'm constantly telling my team, if it takes you longer than 15 minutes to do something, there's a faster way, and you should learn and try to figure it out via AI.” Then there is Ulta Beauty, which rolled out one of the largest AI partnerships within beauty retail last month, with Google Gemini. The team has spent the past few weeks learning how its consumers actually use the new AI-powered features, which include an on-site and in-app chatbot.  “We continue to find new data sets that we need to put into [the chatbot's knowledge base, like] store locations, store hours — a lot of those things where customers are just asking generic questions,” said Josh Friedman, svp of digital and e-commerce at Ulta Beauty. “They're asking lots of questions about the brand, and we're seeing some really good use cases with our customer care agent, as well.”  In today's episode of the Glossy Beauty Podcast, host Lexy Lebsack takes listeners live on stage with Ulta Beauty's Josh Friedman, Tarte's Jenna Manula Linares and Beekman1802's David Baker to learn about the actual impact of AI today. 

Wie hat dir die Folge gefallen?Gut

In this episode of The Dish on Health IT, Tony Schueth, CEO of Point-of-Care Partners (POCP), welcomes Pooja Babbrah, Executive Vice President of Strategy and Industry Alignment at NCPDP, and Anna Taylor, Associate Vice President of Population Health and Value-Based Care at MultiCare Health System and Steering Committee member of the HL7 Da Vinci Project, for a discussion on the relationship between standards development and policymaking.  Using the CMS “Interoperability Standards and Prior Authorization for Drugs” Proposed Rule (CMS-0062-P) as a backdrop, the conversation explores how standards communities, implementation accelerators, pilot programs, and industry collaboration influence healthcare interoperability long before requirements appear in federal regulations. Tony opens the discussion by asking how organizations should think about the relationship between standards development and policymaking today. Pooja and Anna explain that organizations such as the HL7 Da Vinci Project and NCPDP Standards are often viewed as technical standards bodies, when in reality they serve as collaborative forums where providers, payers, vendors, pharmacists, regulators, and other stakeholders work through real-world operational challenges. The conversation then shifts to the value of participating early. Tony asks what organizations miss when they wait for final rules before becoming involved. Anna discusses the operational, strategic, and financial advantages organizations can gain by participating in standards development activities, implementation guide development, pilots, testing events, and implementation communities. As part of that discussion, Tony and Anna touch on the growing body of production implementations supported by Da Vinci. Organizations interested in understanding how these implementation guides are being deployed across the industry can explore the Da Vinci In-Action Implementation Tracker, which documents real-world adoption efforts and implementation progress. Pooja expands on the importance of creating opportunities for broader industry participation. She describes NCPDP Collab, an interactive forum open to both members and non-members that provides a venue for discussing workflow challenges, implementation barriers, and emerging industry needs before formal standards development begins. The discussion naturally progresses into the CMS “Interoperability Standards and Prior Authorization for Drugs” Proposed Rule (CMS-0062-P), which directly references standards and implementation approaches developed by both NCPDP and Da Vinci. As Tony guides the conversation toward implementation, Anna discusses how Da Vinci's collaborative testing model and initiatives such as Trebuchet help organizations evaluate interoperability workflows in real-world settings before widespread adoption. The discussion then turns to one of the central themes of CMS-0062-P: the convergence of pharmacy and medical benefit workflows. Pooja explains that while patients and providers simply want access to treatment, healthcare organizations continue to operate within separate medical and pharmacy benefit structures. She argues that future interoperability efforts must focus less on the underlying standards and more on creating workflows that deliver a seamless experience for providers and patients regardless of where coverage resides. Building on that theme, Tony asks how healthcare organizations should think differently about workflow design. Drawing on her background in human factors engineering, Anna argues that healthcare has historically allowed technology to dictate workflows rather than designing technology around how people actually work. She advocates for starting with desired outcomes and user experience, then working backward to determine how standards, automation, and technology can support those goals. The conversation then moves to trust, adoption, and data quality. Tony observes that interoperability is no longer simply about moving data but about delivering the right information at the right time and within the right workflow. Anna discusses the importance of consistency and reliability in building trust, while Pooja shares examples of how incomplete implementations can undermine provider confidence even when standards and technology are technically available. Together, they argue that adoption depends as much on usability and trust as it does on technical capability. Returning to CMS-0062-P, Tony asks where organizations should focus their feedback beyond timelines and compliance concerns. Both guests encourage stakeholders to look closely at the broader strategic questions embedded throughout the proposed rule, particularly the requests for information that may signal future policy priorities. Rather than focusing solely on implementation challenges, they encourage organizations to use the comment process as an opportunity to help shape how healthcare workflows should function in the future. The episode concludes with Tony's signature question: what should healthcare stakeholders think differently about or start doing differently tomorrow? Pooja highlights the expanding role pharmacists can play in care coordination, medication management, and prior authorization workflows, arguing that pharmacists remain an underutilized resource within the healthcare ecosystem. Anna closes with a call for broader participation across healthcare, encouraging providers, employers, patients, vendors, and other stakeholders to engage with standards communities and implementation efforts. She emphasizes that meaningful progress happens when stakeholders move beyond identifying problems and actively participate in building solutions. Throughout the discussion, Tony reinforces a central theme: the future of healthcare interoperability is not being shaped solely through regulation. It is shaped through the collaboration, testing, implementation, and problem-solving taking place every day within standards organizations, implementation accelerators, pilot programs, and stakeholder communities. Organizations that want to influence the future of healthcare should not wait for final rules to arrive. They should participate in the conversations that help create them.  

Alle wollen KI. Aber nur wenige bekommen sie wirklich skaliert. In dieser Folge von AI or DIE spricht Andreas Wiener mit Laurenz von valantic über die Studie „AI at Scale“, die valantic gemeinsam mit dem Handelsblatt Research Institute durchgeführt hat. Befragt wurden 1.000 C-Level-Entscheider aus deutschsprachigen Unternehmen. Die zentrale Erkenntnis ist eindeutig: KI ist kein Zukunftsthema mehr. Sie wird bis 2030 als wichtigste Technologie für Wettbewerbsfähigkeit gesehen. Aber zwischen Strategie, Pilotprojekten und echter Skalierung klafft noch eine massive Lücke. Laurenz erklärt, warum Unternehmen KI auf zwei Ebenen denken müssen: als Breitensport für alle Mitarbeitenden – etwa durch Copilot, ChatGPT oder Claude – und als Spitzensport für geschäftskritische Workflows, Agenten und automatisierte Prozesse. Dabei wird klar: KI-Reife entsteht nicht durch Tools allein. Sie braucht Führung, Umsetzungskompetenz, befähigte Mitarbeitende, Governance, skalierbare Architektur und vor allem eine qualitätsgesicherte Datengrundlage. Oder einfacher gesagt: Daten sind nicht alles. Aber ohne Daten ist alles nichts.

Kill The Noise breaks down his evolving creative process—from couch-surfing bass producer to film scores—while navigating an AI-heavy landscape and real-life deadlines. We dive into his Ableton Live workflow for sidechaining and sound design, “stink mode” bass concepts, and the mindset to finish records without getting stuck in perfectionism.From film scores to studio production and major festival stages, Jake Stanczak—better known as Kill The Noise—has built a career defined by evolution and experimentation. Influenced early on by visionary filmmakers and boundary-pushing artists, his sound bridges cinematic intensity and forward-thinking electronic music, with collaborations ranging from Skrillex and Deadmau5 to Tom Morello, plus contributions to major film scores like Teenage Mutant Ninja Turtles and xXx: Return of Xander Cage alongside Brian Tyler.Follow Kill The Noise:https://www.instagram.com/killthenoiseGrab limited-edition Producer Merch & save 10% with the code "podcast":https://www.abletonpodcast.com/merchJoin the newsletter to get free downloads, early episode access, and upcoming events.https://www.abletonpodcast.com/newsletter

Send us an inquiry through a text message here!Buy VRT LIVE 2026 tickets here: https://www.axs.com/events/1451690/the-veterinary-roundtable-ticketsWelcome to another episode of The Veterinary Roundtable! In this episode, we sit down with Danielle Heberle, CVT, VTS-H Dentistry,Senior Manager of Clinical Services at Midmark Corporation, to talk about why so many veterinary teams feel overwhelmed even when they love the medicine, the workflow mistakes clinics don't even realize they're making, technician underutilization in anesthesia and dentistry, and so much more!Do you have a question, story, or inquiry for The Veterinary Roundtable? Send us a text or voicemail from the link above, ask us on any social media platform, or email theveterinaryroundtable@gmail.com!Episodes of The Veterinary Roundtable are on all podcast services along with video form on YouTube!YouTube: https://www.youtube.com/@TheVeterinaryRoundtableInstagram: https://www.instagram.com/theveterinaryroundtable/TikTok: https://www.tiktok.com/@theveterinaryroundtableTimestamps:00:00 Intro02:05 Introducing Danielle & Her Journey09:44 Industry Patterns and Burnout13:11 AAHA's Stay, Please Study16:57 Best Dentistry Workflow22:24 Overcoming Resistance to Standardized Care29:38 Client Compliance & Preventive Care34:15 Optimizing Clinic Physical Design41:02 Preventing Anesthesia Mistakes49:13 Midmark's Training Academy54:14 Real-Life Anesthesia Simulation01:01:55 The Future of Veterinary Dentistry01:11:33 Outro

Et si l'IA permettait à un ingénieur de passer d'un mois à une semaine pour concevoir une solution industrielle ?C'est l'une des réalités que partage Pierre-Emmanuel Dumouchel, fondateur et directeur général de Dessia, dans cet épisode de Trajectoires.De l'adoption de l'IA aux enjeux méthodologiques pour savoir par où commencer, il décrypte ce que signifie réellement déléguer à des agents dans des environnements critiques. Il montre aussi comment l'émergence d'agents capables de produire, vérifier et valider ouvre une nouvelle ère pour l'ingénierie industrielle.Et pourquoi, dès aujourd'hui, les entreprises doivent structurer leur savoir pour concevoir les agents de demain.

In this episode of Revenue Cycle Optimized, Christina Harkins, Director of Customer Success at Infinx, discusses how prior authorization workflows can be optimized through automation, custom queues, workflow discovery, and ongoing operational support. She explains how the right mix of AI, human oversight, reporting, and implementation planning can reduce manual work, prevent avoidable denials, and improve revenue cycle performance.

Allan Kazakh runs an agency specialises in generating exclusive, high-intent leads for annuity products. It is called Vroom Media Group. Annuity leads are a type of financial product that provides a guaranteed stream of income in retirement. Summary of PodcastAllan's marketing agency and annuity leadsAllan runs a marketing agency that helps life insurance agents and financial advisors get more customers online. His agency specializes in generating exclusive, high-intent leads for annuity products, which are a type of financial product that provides a guaranteed stream of income in retirement. Allan explained how his team crafts targeted ads based on the specific pain points and needs of different customer profiles, such as affluent clients concerned about taxes versus average consumers looking for income stability.Annuity products and the US marketAllan provided an overview of annuity products in the US market, explaining how they differ from traditional investments and serve as a "safety vehicle" for retirees looking to preserve their capital. He discussed how annuities have become more popular during economic downturns when the stock market is volatile, as they offer a guaranteed return. Allan also highlighted the importance of understanding the macroeconomic climate and how it impacts consumer sentiment when developing marketing strategies.Allan's ad strategy and targetingAllan detailed his agency's approach to advertising, which primarily utilizes Meta (Facebook and Instagram) ads. He explained how they target specific customer profiles and tailor the ad creative and messaging to resonate with each group's unique pain points and needs. This includes using podcast-style ads, video ads, and other formats to grab attention. Allan also discussed the importance of testing multiple creatives to find what works best.Scaling the business with AIAllan discussed how his agency has leveraged AI to improve productivity and scale the business. By automating certain tasks like video creation, his team can produce more content and test more ad variations. Allan believes AI will continue to change the nature of work, but sees it as a tool to empower his team rather than replace jobs.Recap and closing thoughtsIn the closing segment, Graham and Kevin reflected on the key insights from the discussion, including Allan's ability to identify and target specific customer pain points, his data-driven approach to advertising, and his use of AI to drive efficiency. They noted Allan's expertise in a niche market and his success in outperforming competitors through his marketing strategies.The Next 100 Days Podcast Co-HostsGraham ArrowsmithGraham founded Finely Fettled in 2014 to provide data from The UK High Net Worth Database to marketers targeting affluent and high-net-worth customers. He's the founder of MicroYES, a Partner for MeclabsAI, creating lead generation AI Agents & Workflows and introducing the MeclabsAI Platform. Graham also provides an Answer Engine Optimisation solution to get your website in shape to be found by LLMs.Kevin ApplebyKevin specialises in finance transformation and implementing business change. He's the COO of GrowCFO, which provides both community and CPD-accredited training designed to grow the next generation of finance leaders. You can find Kevin on LinkedIn and at kevinappleby.com

Eine Mobile App ist weit mehr als ein zusätzlicher Marketingkanal und kann zum zentralen Hebel für Kundenbindung, Umsatzsteigerung und effizientere Workflows werden. Im Gespräch zeigen Sam und Stefan, warum Apps 2026 relevanter denn je sind, wo sie sich wirklich von responsiven Websites unterscheiden und ab wann sich die Investition lohnt.Anhand konkreter Beispiele aus Retail und B2B wird deutlich, wie Commerce-Apps, Spezial-Use-Cases (z.B. Lager, Wartung, Bibliotheken) und Loyalty-Programme zusammenspielen, welche Kosten- und Zeitrahmen realistisch sind und wie Unternehmen mit MVP-Ansätzen, Beta-Phasen und klugem Nutzerfeedback-Rollout das Risiko minimieren und den Mehrwert maximieren.Dein Start zur eignen App: https://s.dotsource.de/appsHier findest du Stefan auf LinkedIn: https://www.linkedin.com/in/stefan-renz/

Riley Hill and Tim Chaten discuss the year that was for iPadOS 26. Make sure to listen to the previous episode for more on this discussion. We also discuss the recently released version of CapCut for iPad. Early episodes 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://slatepad.org/2026/05/27/capcut-pad-now-available-us-ipad-android-tablets/- https://slatepad.org/2026/05/23/what-i-want-from-ipados-27-wwdc-2026/ Hosted on Acast. See acast.com/privacy for more information.

In this episode of FP&A Unlocked, Paul Barnhurst sits down with David Dors to explore how artificial intelligence, particularly Claude, is transforming the future of FP&A. David shares his journey from banking and FP&A into finance transformation, where he now helps finance teams implement AI-powered workflows, automate repetitive processes, and rethink how work gets done in the Office of the CFO. David Dors is a finance transformation consultant and AI educator specializing in helping finance teams adopt Claude, AI agents, and workflow automation. After beginning his career in banking and FP&A, David shifted his focus to helping finance professionals use AI to improve reporting, analysis, forecasting, and decision-making. Through workshops, training programs, and content creation, he teaches finance teams how to build AI-powered systems that save time and allow analysts to focus on higher-value strategic work. Expect to Learn:How AI is changing the future of FP&APractical ways to automate reporting and recurring finance tasksThe difference between Claude Chat, Claude Code, and AI agentsWhy finance professionals should think of AI as a digital teammateKey skills FP&A professionals need in an AI-driven worldHere are a few relevant quotes from the episode:"Every forecast, variance analysis, or deck you build should help somebody make a different decision." – David Dors"If nothing changed from the analysis you're providing, there's not much value in what you're doing every day." – David DorsDavid explains how finance teams can use AI to eliminate repetitive work, improve efficiency, and spend more time supporting business decisions. He also shares his perspective on the future of FP&A, where professionals will increasingly manage AI agents that handle routine tasks and reporting. non-traditional organizations. Follow Dave:LinkedIn: https://www.linkedin.com/in/daviddors/Website: https://vantagepointconsulting.com/ Earn Your CPE Credit For CPE credit, please go to earmarkcpe.com, listen to the episode, download the app, answer a few questions, and earn your CPE certification. To earn education credits for the FPAC Certificate, take the quiz on earmark and contact Paul Barnhurst for further details.In Today's Episode[00:00] – Trailer[04:13] – Discovering Claude[10:27] – AI Training for Finance Teams[15:19] – Skills & AI Agents[18:13] – AI Productivity Gains[22:23] – Quick AI Wins in FP&A[25:23] – AI Accuracy & Validation[28:29] – Automating Reporting[32:35] – The Future of FP&A[39:01] – Excel Lessons Learned[42:57] – Final Thoughts

AI is already shaping how data in healthcare is accessed, exchanged, and used across clinical, operational, and development workflows. In this episode of #shifthappens, Kuma Partner and Executive Vice President of Privacy & Security Jenn Johnson explains why traditional governance approaches are being stretched — and where leaders need to respond differently. Drawing on real-world experience, Jenn outlines how established HIPAA foundations still matter, yet why AI forces organizations to rethink long‑held assumptions about consent, authorization, vendor risk, and data transparency.

Microsoft Copilot in Microsoft 365 kann Dir heute schon E-Mails, Kalender und Dateien abnehmen – wenn Du ihn richtig nutzt. In dieser Interview-Folge mit Florian Sandmann-Reetz bekommst Du konkrete Workflows, die sofort Zeitfresser® und Geldfresser® stoppen. In dieser Episode hörst Du, wie Du KI im Mittelstand wirklich produktiv einsetzt, wenn:

In this episode, Cyndi sits down with Certified Travel Agency Owner ® Heather Schramm to discuss one of the most important foundations of a successful travel business: workflows and organization.Together, they explore why operational workflows are critical for growth, efficiency, and delivering an exceptional client experience. Heather shares practical insights on which workflows travel advisors should prioritize first, how to begin building systems even if none currently exist, and how to avoid common organizational pitfalls as your business scales.The conversation also dives into the balance between automation and personalization, including where travel professionals should incorporate their unique brand voice and personal touch within their workflow processes to create a more memorable client experience.Whether you're a new advisor creating systems for the first time or an established agency owner looking to streamline operations, this episode is packed with actionable strategies to help you build a more organized, scalable, and service-focused travel business.Resources Mentioned:Wanderlust CampusCareers on Vacation Enrollment InformationKey Topics Covered:The importance of workflows in a growing travel businessWhere to start when creating operational systemsEssential workflows every travel advisor should implementOrganization strategies for scaling efficientlyPersonalization vs. automation in client serviceBranding opportunities within your workflow processImproving the overall client experience through systems and structure

In this 100th episode of Swimming with Alligators, Earnest and Alexa dive into how emerging managers and VCs can truly differentiate in a world where everyone shows the same logos and track records. They unpack why LPs increasingly care about who actually sourced and led deals, why personal differentiation matters more than over-explaining strategy, and how consumer investing is quietly coming back into favor. They explore the limits of “AI strategies” that are more theater than edge, the shifting career paths for 30–40-something VCs, and whether the popular barbell approach to venture (tiny funds + megafunds) still fits a rapidly changing market. They also discuss how diligence is evolving, why moats now look more like trust, data, and distribution than pure tech, and what a wave of large IPOs could mean for angels, new funds, and early-stage competition. Highlights from this week's conversation include: Celebrating 100 Episodes and DDQ Format (0:33)   Differentiation in Fund Decks and Shared Logo Problem (2:12) Why Sourced vs Led Matters and Back-Channel Relationships (3:56) Overemphasis on Strategy vs True Differentiation and Team Cohesion (6:25) Pressure to Go Public, Headaches of Being Public, and Lawsuit Risk (10:14) OpenAI, Anthropic, SpaceX, and Logic of If They Do It, We Have to Do It (12:26) Enterprise VCs Moving into Consumer and Founders Rethinking Moats (14:11) Distribution, Brand, Trust, and Proprietary Data as Defensible Moats (16:25) Google, Personal Data, and Unseen Costs of Using LLMs (18:15) LPs Asking About AI Strategy and Congruent Use of AI Tools (20:44) Start ,Bench, Cut, Trade, and Suspend for 30s and 40s VCs (24:46) Allocators Following a Barbell Approach and Conventional Wisdom (27:11) LPs Diligencing Firm Strategy, Hiring, and Seed Creep at Large Funds (34:56) Audience Q&A Segment Introduction and Contact Information (37:13) Tinkering, Experimenting with Workflows, and Evaluating AI Tool Impact (39:07) Durability of Business Models, Trust, Distribution, and Manufactured Momentum (41:02) Post-IPO Talent Leaving, Mafias, and Angel-Backed New Founders (44:11) Closing Reflections on 100 Episodes and Looking Ahead to the Future (46:24) Swimming with Allocators is a podcast that dives into the intriguing world of Venture Capital from an LP (Limited Partner) perspective. Hosts Alexa Binns and Earnest Sweat are seasoned professionals who have donned various hats in the VC ecosystem. Each episode, we explore where the future opportunities lie in the VC landscape with insights from top LPs on their investment strategies and industry experts shedding light on emerging trends and technologies.  The information provided on this podcast does not, and is not intended to, constitute legal advice; instead, all information, content, and materials available on this podcast are for general informational purposes only. Learn more about your ad choices. Visit megaphone.fm/adchoices

In today's Cloud Wars Minute, I look at Microsoft's latest moves to help organizations deploy and scale AI agents without sacrificing control. Highlights 00:10 — In the latest updates to Copilot Studio, Microsoft has introduced a series of improvements focusing on visibility and governance, allowing users to expand automation while maintaining control. Regarding visibility, the new analytics viewer role provides read-only access to an agent's analytics page. 00:36 — On top of this, Microsoft has expanded its agent usage estimator to include Dynamics 365 agents, enabling users to forecast Copilot credit consumption across both Copilot Studio and Dynamics 365 from one place. Microsoft already enables users to embed Copilot Studio agents into workflows using its agent node function. 01:16 — Other updates to workflows are designed to enable scaling without introducing governance risk. Workflows can connect to a larger toolkit, such as MCP server-enabled tools, to make it easier to take actions in systems, yet still within the Microsoft Security Framework. Users can also utilize agents built in Copilot Studio to bring interactive app experiences directly into Copilot Chat. 01:48 — This means they can review data, update records, approve requests, or create assets, all without having to switch tools. These are just some of the updates that Microsoft has been working on throughout April, and I really enjoy following the trajectory of these updates because they illustrate to me the current stage of our collective journey with AI. 02:11 — It's clear that agents are integrated into many systems, and now is the time to scale them securely. So, if you're still considering when and if to introduce AI-driven practices into your business, major directional changes like this should serve as a cautionary tale. Visit Cloud Wars for more.

Elizabeth Blosfield speaks with Sean Eldridge about how embedded AI is helping claims teams automate manual tasks, surface critical insights faster, and free adjusters to focus on higher-value … Read More » The post How AI Is Quietly Transforming Insurance Claims Workflows appeared first on Insurance Journal TV.

https://clearmeasure.com/developers/forums/ Jonathan Tower — known to friends and colleagues simply as "J." — is the founding partner of Trailhead Technology Partners, a custom software consulting firm with employees across the U.S., Europe, and South America. A 12-time Microsoft MVP for .NET and a Telerik Developer Expert, J. brings nearly 25 years of industry experience spanning roles from senior architect to director of development. He was recently elected to the .NET Foundation Board of Directors for the 2026–2027 term and is the driving force behind Beer City Code, Western Michigan's largest professional software conference. J. is also a LinkedIn Learning course author and an active speaker at software conferences around the world; including being a speaker at the most recent .NET Conf. LinkedIn - https://www.linkedin.com/in/jtower/ Website - https://www.jtower.com/ Trailhead Technology Website - https://trailheadtechnology.com/ Trailhead Technology Events - https://trailheadtechnology.com/events Trailhead Technology Blogs - https://trailheadtechnology.com/blog Beer City Code- https://beercitycode.com/ Previous Appearances on the Azure & DevOps Podcast: Episode 371 - Software Leadership with Jonathan "J." Tower https://azuredevopspodcast.clear-measure.com/software-leadership-with-jonathan-j-tower-episode-371 Episode 263 - J. Tower: Modernization Strangler Fig Pattern https://azuredevopspodcast.clear-measure.com/j-tower-modernization-strangler-fig-pattern-episode-263 ---------------------------------------- Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

Was passiert, wenn ein Startup-Investor die Versicherungsbranche auseinander nimmt – und daraus eine KI-Plattform für Makler baut?In dieser Folge spricht Simon Moser mit Daniel Dierkes, Gründer von SureIn, über die vielleicht größte Transformation der Versicherungsbranche seit der Digitalisierung. Warum verbringen Makler heute noch bis zu 50% ihrer Zeit mit Verwaltung? Weshalb reichen klassische MVPs und CRM-Systeme künftig nicht mehr aus? Und warum könnte KI darüber entscheiden, wer in den nächsten Jahren gewinnt – oder verschwindet?Daniel gibt exklusive Einblicke in:die Entstehung von SureIn & der neuen KI-Plattform Moduswarum Maklerbetriebe heute massiv ineffizient arbeitenwie KI komplette Workflows automatisieren kannweshalb Spezialisierung trotz KI wichtiger wird als je zuvordie Zukunft von Beratung, Service & Skalierung im Maklermarktwarum KI nicht wie ein „Praktikant“, sondern wie ein digitaler COO gedacht werden sollteEine Folge über operative Überforderung, digitale Geschäftsmodelle, KI-Agenten, Wachstumsschmerzen – und die unbequeme Wahrheit darüber, wie sich Maklerarbeit in den nächsten Jahren radikal verändern wird.Für alle Vermittler:innen, Makler:innen, InsurTechs und Entscheider:innen, die verstehen wollen, wohin sich die Branche wirklich bewegt.Schreibt uns gerne eine Nachricht!Folge uns auf unserer LinkedIn Unternehmensseite für weitere spannende Updates.Unsere Website: https://www.insurancemondaypodcast.de/Du möchtest Gast beim Insurance Monday Podcast sein? Schreibe uns unter info@insurancemondaypodcast.de und wir melden uns umgehend bei Dir.Dieser Podcast wird von dean productions produziert.Vielen Dank, dass Du unseren Podcast hörst!

Are we officially entering the "Eternal Sloptember"? This week on the Friday Deploy, Ben and Andrew unpack the quiet rebellion against skyrocketing API costs as teams transition to fine-tuned local models. They also explore the changing physical architecture of AI data centers, the dangers of using autonomous tools as a crutch for broken workflows, and why spec-driven development is critical for keeping agentic code in check. Finally, the hosts share their latest personal agent experiments, from benchmarking open-source models on a local Mac Studio to taming an AI-generated second brain.Learn why: LinearB is a Leader in the 2026 Gartner® Magic Quadrant™ for Developer Productivity Insight PlatformsFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:Outsourcing plus LocalAI will soon become more economical vs Frontier labsAI Datacenters Were Built for GPUs. What Happens When You Remove the GPUs?"The AI Can Do It" Is Not an Excuse To Tolerate a MessThe Eternal SloptemberI'm tired of talking to AIIf you let AI do your writing, I will come to your house and kill youA Blast from the Past: SDD and the Illusion of Known ScopeAndrew's paper: Mise en Place for Agentic Coding: Deliberate Preparation as Context Engineering MethodologyOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

How can interoperability, policy, and technology come together to solve some of healthcare's most stubborn challenges? On episode 108 of Astonishing Healthcare, host Justin Venneri sits down with Brendan Keeler, Interoperability Practice Lead at HTD Health and author of the popular Health API Guy Substack. Brendan shares his journey from working at Epic Systems to becoming a leading voice in healthcare interoperability, offering insights into the intersection of policy, technology, and workflows.Together, they explore the current state of interoperability in healthcare, the impact of CMS rulemaking on prior authorizations, and the challenges of modernizing entrenched systems of record. Brendan also highlights the importance of empathy in solving healthcare's complex problems and shares his thoughts on the future of digital identity and patient data access.Key TakeawaysInteroperability is about ubiquity, not just standards. While digital standards like FHIR and NCPDP are important, true interoperability requires widespread adoption across all stakeholders to ensure seamless data exchange.CMS rulemaking is driving change in prior authorizations. New regulations aim to digitize and standardize prior authorization processes, reducing manual burdens while potentially increasing overall transaction volumes.Modernizing healthcare infrastructure is a monumental challenge. Systems of record like EHRs and claims processing platforms are deeply entrenched, making change costly and complex. Leaders often opt for incremental improvements, such as layering AI on top, rather than full-scale replacements.Empathy is key to solving healthcare problems. Bridging the "empathy gap" by making complex issues like benefit design and regulation accessible to non-experts is essential for attracting talent and driving innovation.Digital identity is foundational for the future of healthcare. Strong identity verification systems unlock trust and enable secure, seamless data sharing between patients, providers, and payers, paving the way for better outcomes.Related ContentHow to obtain Rx data and what to do with itReplay - Unified Care Navigation: A Critical Component of the Future of Health Benefits DesignAH064 - Empowering Plan Sponsors: Data Access & Analysis, with Bridget MulvennaJudi Health Policy Update – It's a Tangled Web of ProgressDisclaimerThis podcast is for informational and entertainment purposes only. The views expressed are those of our guests, do not constitute professional advice, and may not represent Judi Health's/Capital Rx's position on any matters discussed. We make no representations or warranties regarding the accuracy or completeness of the content; information is subject to change and may not be updated.

Steve Turner is a multimedia PR expert. Solomon/Turner has managed and executed dozens of targeted campaigns for clients of all sizes. The firm enjoys a special expertise in both businesses to business and business to consumer publicity, as well as reputation management. Solomon Turner maintains an extensive list of relationships with many key members of the media from television, newspapers and trade journals.Summary of PodcastIntroducing Steve TurnerKevin and Graham introduce their guest Steve Turner, an expert in public relations who has written a book on the subject. They highlight his background in sports commentary and media work.Steve's PR firm originsSteve shares the history of how he founded his PR firm Solomon Turner, starting in radio and advertising before transitioning to PR and merging with an advertising agency run by his now-wife Shelly.Developing thought leadershipSteve explains the concept of thought leadership and how he has helped clients like an author on Jeep history establish themselves as experts in their fields through media appearances, speaking engagements, and other PR tactics.Effective PR strategiesSteve outlines a 5-step process for developing an effective PR campaign: 1) Defining clear objectives, 2) Identifying the target audience, 3) Crafting the right messaging, 4) Selecting the right delivery channels, and 5) Measuring the results and ROI.Adapting PR for the digital ageSteve discusses how PR has evolved in the digital age, with the rise of social media and podcasts providing new channels for thought leadership and third-party endorsement. He cautions against over-reliance on AI-generated content. The Next 100 Days Podcast Co-HostsGraham ArrowsmithGraham founded Finely Fettled in 2014 to provide data from The UK High Net Worth Database to marketers targeting affluent and high-net-worth customers. He's the founder of MicroYES, a Partner for MeclabsAI, creating lead generation AI Agents & Workflows and introducing the MeclabsAI Platform. Graham also provides an Answer Engine Optimisation solution to get your website in shape to be found by LLMs.Kevin ApplebyKevin specialises in finance transformation and implementing business change. He's the COO of GrowCFO, which provides both community and CPD-accredited training designed to grow the next generation of finance leaders. You can find Kevin on LinkedIn and at kevinappleby.com

In this episode of The Insuring Cyber Podcast, two guests discuss how artificial intelligence is reshaping the insurance industry. First, Michael Streit, president of Ivans at Applied Systems, … Read More » The post EP. 114: Underwriting, Workflows, and Digital Transformation appeared first on Insurance Journal TV.

In this episode of The Insuring Cyber Podcast, two guests discuss how artificial intelligence is reshaping the insurance industry. First, Michael Streit, president of Ivans at Applied Systems, … Read More » The post EP. 114: Underwriting, Workflows, and Digital Transformation appeared first on Insurance Journal TV.

In this episode of The Insuring Cyber Podcast, two guests discuss how artificial intelligence is reshaping the insurance industry. First, Michael Streit, president of Ivans at Applied Systems, … Read More » The post EP. 114: Underwriting, Workflows, and Digital Transformation appeared first on Insurance Journal TV.

Lauren Livak Gilbert, lead of the Digital Shelf Institute, joins the podcast to explore how agentic commerce and AI tools like Amazon's Rufus are transforming product discovery. As the industry shifts from traditional SEO keyword stuffing to natural language and Answer Engine Optimization (AEO), sellers must optimize their Product Detail Pages by directly answering consumer Q&As to feed context-driven AI recommendations. Currently, nimble challenger brands are capturing market share by adapting quickly and building off-site trust signals, while large legacy brands are often bogged down by massive SKU counts, messy data taxonomy, and regulatory hurdles. To overcome these challenges and safely scale AI content generation, Lauren emphasizes the critical need for strict E-commerce hygiene and a single source of truth for product data using Product Experience Management platforms like Salsify. Episode Notes: 00:00 - Introduction to Lauren Gilbert and the Digital Shelf Institute (DSI) 01:48 - Defining the "Digital Shelf" and the Data Explosion 03:51 - What is Agentic Commerce? 08:12 - Amazon Rufus, Natural Language, & Answer Engine Optimization (AEO) 14:16 - Why Challenger Brands are Winning Market Share 18:01 - The Core Data and Taxonomy Problem for Large Brands 21:40 - Solving Content Chaos and Workflows with Salsify 24:42 - Legal, Compliance, and the Importance of Trust Signals 28:08 - How to Join the Digital Shelf Institute Related Post: How to Build a Repeatable Amazon Competitor Analysis Workflow How to Reach Lauren: LinkedIn: linkedin.com/in/laurenlivak Scott's Links: LinkedIn: linkedin.com/in/scott-needham-a8b39813 X: @itsScottNeedham Instagram: @smartestseller YouTube: www.youtube.com/@smartestamazonseller2371 Newsletter: https://www.smartscout.com/newsletter-sign-up Blog: https://www.smartscout.com/blog

Clinical innovation in orthodontics is moving faster than ever, but many practices are still relying on workflows built for a different era. In this episode of The Golden Age of Orthodontics, Dr. Leon Klempner and Amy Epstein sit down with Jake Gulick, president of GreyFinch, to discuss how outdated systems, disconnected tools, and manual processes may be quietly limiting practice efficiency and growth.Jake shares his perspective from nearly two decades in the orthodontic technology space, from helping scale Cloud9Ortho in its early years to leading innovation at GreyFinch, and explains how modern cloud-based practice management systems, AI-assisted workflows, automation, and smarter integrations are reshaping the operational side of orthodontics. The conversation explores how practices can reduce workflow friction, improve patient communication, gain better visibility into marketing performance, and rethink long-standing processes that no longer serve today's digital orthodontic practice.In this episode, you'll learn:Why many orthodontic practices are still operating with outdated workflow modelsHow AI can improve efficiency without replacing the human side of the practiceThe difference between cloud-based and truly browser-based softwareHow automation can streamline patient follow-up and case acceptanceWhy disconnected systems create hidden operational frictionThe importance of workflow design when implementing new technologyHow practices can better track marketing performance and patient conversion dataWhy practice management software should evolve alongside modern orthodonticsGo to www.pplpractice.com for more!

Fabian Alefeld welcomes back Thomas Pomorski of Ursa Major to discuss developments over the past year across three focus areas: hypersonics, solid rocket motors, and in-space propulsion. Pomorski reports more than nine hypersonic missions flown with the reusable, ~80% 3D-printed Hadley engine and two successful test flights of the storable Draper engine with AFRL, plus progress on Ursa's LINX solid rocket motor manufacturing approach using additive for tooling and cases to enable flexible “unit cell” scaling. They cover key hypersonics challenges around affordability and manufacturability and why a storable liquid rocket approach can reduce testing complexity. Much of the conversation focuses on AI's current value in development: rapidly prototyping slicer features and scan strategies, building data-fusion and monitoring tools via EOS APIs, and enabling small teams to operate with much higher productivity, while noting production validation remains challenging.00:00 Welcome Back Thomas01:48 Ursa Major Year Update02:37 Hypersonic Flight Milestones04:05 Solid Motors and LINX05:21 Additive Scale Up Tools06:39 Hypersonic Cost Challenge11:58 Solid Motor Unit Cells15:37 Additive Geometry vs Supply18:01 AI in Additive Workflows24:33 AI Productivity Multiplier29:33 Live Claude Slicer Demo35:13 Prompting Claude Code36:35 Sharing Team Workflows38:40 Production AI Readiness42:20 Slicer Feature Results44:49 Closed Loop Optimization46:46 AI Built Web Monitor52:59 Automation Roadmap01:00:12 Verifying Hatch Strategy01:03:07 Advice For Students01:08:29 Wrap Up And Thanks

What happens when you stop focusing on human resources and start focusing on the human experience? Technology is advancing faster than human nature can keep up. If you want to stay relevant, you need a fundamental cultural reset, not just new software.  In this interview, Laura Cushing, the Chief People Experience Officer at Pacific Life, discusses the evolving intersection of organizational culture, employee engagement, and artificial intelligence. She emphasizes a strategic shift toward accountability and transparency as the balance of power moves back toward employers in a post-pandemic landscape. To prepare for an AI-driven future, Pacific Life has implemented a Gen AI Academy and Innovation Labs to demystify technology and help staff reimagine their workflows. Cushing highlights the rising importance of "power skills"—human-centric abilities like coaching and visionary leadership—which remain essential as technical tasks become automated. Ultimately, she argues that HR leaders must cultivate deep business acumen and proactive trust-building to successfully guide their workforces through digital transformation. Watch the full video on YouTube ---------- Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/ Quick heads-up: my new book, The 8 Laws of Employee Experience, is a practical playbook for building an environment where people do their best work—order a copy here: https://bit.ly/8exlaws

What does AI transformation actually look like inside one of the world's largest engineering organizations? At Team '26 in Anaheim, I recently sat down with Jason Andrews to unpack how Cisco transformed decades of fragmented tooling, disconnected workflows, and spreadsheet-driven operations into a unified system of work built around Jira, Confluence, Jira Service Management, automation, and AI-ready workflows. And honestly, this conversation felt refreshingly practical. Jason oversees engineering operations across Cisco Networking, a business unit with around 22,000 engineers and product managers representing roughly $40 billion in annual revenue. So when he talks about transformation, this isn't theory. This is operational change happening at enterprise scale. We discuss how Cisco consolidated more than 85 Jira instances, reduced tooling spend by 54%, and accelerated reporting by 40x while creating a far more scalable engineering organization. But as Jason explains throughout the conversation, the real challenge was never the technology itself. It was getting teams to rethink how they wanted to work moving forward rather than simply migrating years of technical debt into modern systems. One of the strongest themes in this episode is the difference between transformation and migration. Jason explains why organizations often fail when they focus only on moving systems rather than changing workflows, behaviors, and operational culture at the same time. We also dive deep into AI adoption inside engineering organizations. Jason shares how Cisco is already seeing significant productivity gains from AI-assisted development, why organizational context matters so much for enterprise AI success, and why he believes the industry is still massively underestimating how much structured data and workflow consistency AI systems actually require. Along the way, we unpack scenario planning in the AI era, why annual planning cycles are becoming increasingly fragile, and how leaders can move from rigid long-term roadmaps toward more agile operational playbooks capable of adapting to constant disruption. There's also a fascinating discussion around the so-called "SaaS apocalypse," the limits of AI-generated software, and why Jason believes humans will remain central to enterprise operations for years to come, especially in organizations managing millions of lines of legacy code and decades of accumulated institutional knowledge. If your organization is currently navigating modernization, operational complexity, AI adoption, or large-scale systems transformation, this episode is packed with lessons learned from the front lines of enterprise change. And perhaps most importantly, Jason offers a reminder that AI alone is not the strategy. The real opportunity comes from reducing friction, improving context, and helping teams spend more time solving meaningful problems instead of manually stitching systems together.

Send us Fan MailGet vidIQ Boost for an exclusive price! https://vidiq.com/podcastWant a 1 on 1 coach? https://vidiq.ink/theboost1on1Join our Discord! https://www.vidiq.com/discordWatch the video: https://youtu.be/_kUOrWhNynwWe sit down with Hafu Go to unpack how he keeps a channel growing year after year without getting crushed by day-to-day stats. We dig into evergreen strategy, visual-first storytelling, and the AI workflows he uses to speed up research, scripting, and editing without turning videos into soulless slop. • measuring progress year over year to avoid burnout • why evergreen ideas drive long tail views and back catalog traffic • building edutainment by starting with a visual hook • the exploding bubble demo as a perfect science package • using AI for scripts, shot lists, and repeatable templates • keeping a human in the loop so AI outputs stay high quality • automating the biggest time sinks instead of tiny tasks • outsourcing editing by systematizing creative decisions • using AI to analyse thousands of edit notes into a checklist • AI research that pulls videos, splits frames, and organises ideas • why AI shrinks the gap between small teams and big studios • what earns a bigger creator's attention: proof of consistent improvement • quantity first for beginners to get faster feedback If you like that, you can hit that subscribe button. If that was something that helped you, of course, hit that like button. There's a link in the description below and in the show notes that gives you a special price on that. 

Daniel is joined by Stuart Audley, vice president and general manager of product management at Caspia Technologies, where he focuses on agentic security workflows. He has decades of experience designing and deploying cryptographic hardware and security IP for top defense and leading semiconductor companies. He previously… Read More

Nishant Sharma is the founder of Rutland Square. Their Chai Spiced Scottish Gin combines a unique recipe with a captivating story that sets it apart in the world of premium spirits. This extraordinary gin blends modern business principles with deep respect for tradition—a perfect fusion of two cultures. Our journey begins in India and traverses the globe to Scotland, resulting in a truly unique, complex, and luxurious sipping gin.Summary of PodcastNish's background and businessNish shares his background, explaining how he migrated from India to Scotland and how his family history with distilling led him to start his spirits company Rutland Square. He discusses the process of developing his flagship gin product, which blends Indian and Scottish influences.Rutland Square's growth and marketingNish describes the early challenges of getting Rutland Square's gin accepted by retailers, and how he overcame this by directly engaging with consumers at markets and events. He discusses the company's growth, including expanding into new markets and product lines like rum and whisky.Balancing passion and scaling the businessThe group discusses the importance of Nish maintaining the passion and authenticity of Rutland Square as the company grows, and explores ideas around how he can position the brand distinctively in the market. They also touch on Nish's plans to use Rutland Square's success to support other entrepreneurs.VISIT RUTLAND SQUARE: https://rutlandsquare.com/The Next 100 Days Podcast Co-HostsGraham ArrowsmithGraham founded Finely Fettled in 2014 to provide data from The UK High Net Worth Database to marketers targeting affluent and high-net-worth customers. He's the founder of MicroYES, a Partner for MeclabsAI, creating lead generation AI Agents & Workflows and introducing the MeclabsAI Platform. Graham also provides an Answer Engine Optimisation solution to get your website in shape to be found by LLMs.Kevin ApplebyKevin specialises in finance transformation and implementing business change. He's the COO of GrowCFO, which provides both community and CPD-accredited training designed to grow the next generation of finance leaders. You can find Kevin on LinkedIn and at kevinappleby.com

Want better AI results? The answer isn't to prompt better. (At least, not anymore.) As AI has changed drastically, so too must your company's strategy and implementation plan. Section's Bobby Isaacson joins Everyday AI to lay out the roadmap: helping guide organizations from running like hamsters on the AI treadmill to actually redefining workflows toward agentic automation. How Smart Teams Stopped Prompting AI and Started Automating Workflows -- An Everyday AI chat with Jordan Wilson and Section's Bobby IsaacsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:AI Success Metrics in Modern OrganizationsShift from Prompting to Workflow AutomationAdopting Autonomous Agents in EnterprisesImportance of Context Engineering with AITop-Down Leadership for AI TransformationBuilding AI Manifestos vs. AI PoliciesTraining Challenges: Chatbots to Agents EraClosing Skill Gaps: Elite vs. General AI UsersOvercoming Change Management in AI AdoptionFostering Curiosity and Experimentation in AI TeamsTimestamps:00:00 Defining AI success metrics05:19 The shift to context engineering08:16 Leadership setting AI adoption example11:58 CEO commitment to AI integration14:17 Setting clear AI goals19:06 Discussing automation and its challenges20:48 Enterprise AI usage challenges26:00 Leveraging AI for learning27:45 Closing and contact informationKeywords: AI workflow automation, autonomous agents, automating workflows, AI agents, enterprise AI transformation, custom GPTs, prompting AI, context engineering, AI proficiency, AI training, leadership in AI adoption, change management, AI strategy, employee enablement, AI integration, top-down AI approach, organization-wide AI, business process automation, AI-powered briefs, sales automation with AI, agent-based automation, workflow optimization, context sharing, repeatable AI workflows, AI change management strategy, AI use cases, AI in finance, ROI calculator with AI, personalized AI training, skill gap in AI, scaling AI solutions, technology adoption, digital transformation, AI challenges in enterprises, curiosity-driven learning, creative freedom in AI, AI enablement, AI policy vs manifesto, fostering innovation with AI, learning and development AI, AI champions, process innovationSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

Healthcare is drowning in documentation and fragmented data, but what if the system worked for clinicians rather than against them? In this episode, Dr. Richa Gupta, Vice President of Care Transformation at Ambience Healthcare, explains how Ambience provides a layer of intelligence on top of electronic medical records to optimize clinician workflow and patient interactions. Ambience's ambient listening system captures physician-patient interactions, supports documentation, and ensures accurate coding and billing, boosting clinician satisfaction and reducing revenue leakage. ROI is driven by high clinician utilization, validated outcomes, and measurable improvements in documentation burden, coding accuracy, and physician retention. In 2026, Ambience is expanding across the full care continuum, including ambulatory, emergency, and inpatient settings, offering a platform that surfaces real-time insights and enhances patient care. Tune in to hear how Ambience is transforming physician workflows and delivering real ROI across the care continuum! Resources: Connect with and follow Dr. Richa Gupta on LinkedIn. Follow Ambience Healthcare on LinkedIn and visit their website!

Riley Hill and Tim Chaten discuss the year that was for iPadOS 26. We needed to cut this conversation short and will finish this discussion for the next episode releasing just before WWDC 2026. Early episodes 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://www.youtube.com/watch?v=2BVzAdm7Kx4- https://www.apple.com/os/pdf/All_New_Features_iPadOS_26_Sept_2025.pdf- https://slatepad.org Hosted on Acast. See acast.com/privacy for more information.

Deepfake voice fraud is not bypassing enterprise security technology, it is beating the workflows agents rely on to make trust decisions in real time. In this episode, Jon-Rav Shende, Global CTO for Data and AI at Thales Group, outlines where enterprise voice channels are most exposed, why identity, urgency, and business action converging in a single call represents the highest risk point, and what a practical four-step response framework looks like for regulated organisations. The discussion covers how to map risky voice journeys, define escalation decision points, build the evidence chains auditors and cyber insurers will require, and deploy AI as a risk signal layer without automating high-risk actions beyond appropriate controls. ​ This episode is sponsored by Modulate. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

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: Why are prior predictive checks so underused in practice, and how do simulations help?A: They're underused because researchers don't always think to run them before seeing data -- but also because doing them rigorously (in the style Michael Betancourt advocates, with prior push-forward checks on interpretable summaries) takes effort. Simulations make it cheap to generate thousands of “what-if world” datasets from your model and check whether they look plausible, catching bad priors before you ever touch real data.Q: How can generative AI help with prior elicitation?A: Rather than forcing a domain expert to choose a distributional family and parameterize it, you can use a generative model to translate their qualitative knowledge directly into a prior. The expert describes what realistic data should look like; the generative model produces synthetic datasets matching that description; those datasets are used to fit a prior distribution. It removes the assumption that experts can think in terms of parameters and replaces it with the more natural question: does this look like your data?Q: What would a foundation model for Bayesian inference actually look like?A: Stefan's bet is that it won't be a fine-tuned general LLM. The right analogy is chess: you don't fine-tune GPT to play chess, you teach it when to call Stockfish. For Bayesian inference, you'd want a semantic layer – an LLM that understands the analysis goal – calling specialized numerical engines (MCMC samplers, amortized inference networks) that do the actual computation. Agent skills are already a step in this direction; the longer-term vision is engines that have been trained from scratch to generalize across large families of models and priors.Full takeaways here.Chapters:00:00 How does amortized inference fit into modern Bayesian workflows?06:01 What role do simulations play across the full Bayesian workflow?12:12 How do you elicit priors from a domain expert who doesn't think in distributions?19:01 What would a foundation model for Bayesian inference actually look like?35:32 What is self-consistency in amortized inference and why does it matter?39:22 How does semi-supervised learning improve simulation-based inference?43:16 Why is sensitivity analysis so important yet so underused in Bayesian practice?47:40 What is multiverse analysis and how does it change how we report Bayesian results?51:32 How does amortized inference make sensitivity and multiverse analysis affordable?01:02:47 How do amortized inference and classical MCMC complement each other?01:10:08 What are the next major directions for BayesFlow and amortized inference research?Thank you to my Patrons for making this episode possible!Links from the show here.

Are you still carrying your business entirely in your head?If you have been watching other online coaches grow faster and wondering what you are missing, a lot of it comes down to one shift that most people keep putting off.In this episode, I share the ai for small business tools I use in my day to day workflows as a busy mom in the ai renaissance who does not spend all her time at a laptop. I talk about what using ai in business has actually changed for me, the time freedom it gave me, and what I wish I had known sooner.In this episode, you'll discover:How to work smarter with workflows that keep you focused on the work only you can doWhat business automation actually looks like inside a coaching business that is actively growingHow ai productivity can give you back hours without adding more to your plateHow to use Claude as a beginner, including the simple starting point that made everything click for meWhich ai tools for coaches I actually use for content creation, SOPs, CRM, and podcast planningIf you're ready to stop doing everything on your own, this episode will give you a tangible starting point and a clearer picture of what your business can look like on the other side of that decision. Pull up your notes app because you are going to want to write this down.To being heard and seen, CarlyJoin the FREE 5-Day Workshop | JUNE 22-26 (Live Experience) | Escape the Therapy Grind & Build Your Coaching Business Resources from this episode:Therapreneur: A Therapist's Guide to 3x Your Therapy IncomeThe Coach IntensiveListener Giveaway!If you've been loving the podcast, this is the best way to support it and get something amazing back. Visit carlyhillcoaching.com/podcast, scroll down, fill out the 3-question form, and unlock Social Media Mastery instantly.Get 2 FREE months of TherapyNotes and streamline your notes, scheduling, and billing.Use promo code: CarlyExplore More SupportCarly AILooking for more support? Click here to explore different options to work with CarlyWant to start a podcast or grow your existing one? Visit https://julianabarbati.com/ and let them know I sent you!What was your biggest takeaway from this episode? Drop me a DM on Instagram - I'd love to hear from you!

-Gemini for Science includes three primary features: Hypothesis Generation, Computational Discovery and Literature Insights. -Minnesota Governor Tim Walz signed a bill that bans prediction markets operating within the state, but they are already facing challenges. -Kickstarter has retracted the new set of rules around mature content that it released last week. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Sam Yeruva is Founder and CEO of PyCube, a company that provides software solutions to US hospitals to digitize workflows and improve operational efficiency.  He points out that many hospital processes still rely on paper, which hinders the collection of data necessary for operational intelligence and forecasting. The key to success is breaking down data silos across departments to better track assets, samples, and pharmaceuticals, improving patient care, reducing clinician burnout, and driving cost savings.  Sam explains, "PyCube is a software solutions company serving US health systems across the Continental States. We provide solutions with digitized workflows around operational efficiency of the hospitals because there are a lot of things that happen in the hospitals.  A lot of things move, a lot of patients move, a lot of samples move, assets move. There are many moving parts in service environments, such as hospitals, which are well-equipped to care for patients. We help them to digitize those workflows and be more efficient. They're hearing hospitals actually running on thin margins. We assist the hospitals to utilize technology, to be more efficient, cut down the cost, improve revenue, and do what they're supposed to do normally, which they do really well, and take care of the patients. So that's where we try to assist hospitals in adopting technology, especially AI, as it is growing these days as well."   "Operational intelligence is a term coined to mean being smarter or doing things more smartly. You'll see when you go to a hospital, most of the things are still written on pen and paper. You don't get intelligence when you don't know where things are, and you don't know where data is not flowing. So we digitize those workflows so that, first of all, you use the right tools for digitizing the workflows. And then once you have that, we will instill some intelligence into the operation as well."  #PyCube #HealthcareInnovation #HospitalOperations #DigitalHealth #WorkflowAutomation #AIinHealthcare #OperationalIntelligence #PatientSafety #NurseWorkflow #InventoryManagement #HealthIT pycube.com Download the transcript here

Sam Yeruva is Founder and CEO of PyCube, a company that provides software solutions to US hospitals to digitize workflows and improve operational efficiency.  He points out that many hospital processes still rely on paper, which hinders the collection of data necessary for operational intelligence and forecasting. The key to success is breaking down data silos across departments to better track assets, samples, and pharmaceuticals, improving patient care, reducing clinician burnout, and driving cost savings.  Sam explains, "PyCube is a software solutions company serving US health systems across the Continental States. We provide solutions with digitized workflows around operational efficiency of the hospitals because there are a lot of things that happen in the hospitals.  A lot of things move, a lot of patients move, a lot of samples move, assets move. There are many moving parts in service environments, such as hospitals, which are well-equipped to care for patients. We help them to digitize those workflows and be more efficient. They're hearing hospitals actually running on thin margins. We assist the hospitals to utilize technology, to be more efficient, cut down the cost, improve revenue, and do what they're supposed to do normally, which they do really well, and take care of the patients. So that's where we try to assist hospitals in adopting technology, especially AI, as it is growing these days as well."   "Operational intelligence is a term coined to mean being smarter or doing things more smartly. You'll see when you go to a hospital, most of the things are still written on pen and paper. You don't get intelligence when you don't know where things are, and you don't know where data is not flowing. So we digitize those workflows so that, first of all, you use the right tools for digitizing the workflows. And then once you have that, we will instill some intelligence into the operation as well."  #PyCube #HealthcareInnovation #HospitalOperations #DigitalHealth #WorkflowAutomation #AIinHealthcare #OperationalIntelligence #PatientSafety #NurseWorkflow #InventoryManagement #HealthIT pycube.com Listen to the podcast here

This week, Dave speaks with Eldar Sadikov, co-founder and CEO of Field Materials AI.Eldar has spent his career building AI companies — first in retail and ecommerce personalization with Jetlore, and now in commercial construction procurement with Field Materials AI.In this episode, Eldar shares how AI has changed from classical machine learning to modern LLMs and agents, why vertical AI companies need to start with deep industry pain points, and how AI-native software changes the way teams think about workflows, user interfaces, and automation.He also shares practical advice for anyone trying to move beyond basic AI use cases and start using AI agents to automate real work.Connect with Eldar on LinkedInFollow Beyond the Shelf on LinkedInLearn More about It'sRapidGet the It'sRapid Creative Automation PlaybookTake It'sRapid's Creative Workflow Automation with AI surveyEmail us at sales@itsrapid.io to find out how to get your free AI Image AuditTheme music: "Happy" by Mixaud - https://mixaund.bandcamp.comProducer: Jake Musiker

Enterprise teams struggle with AI content quality at scale. Holly Enneking, VP of Marketing at Markup AI, brings proven experience scaling content operations across multiple B2B companies from startups to $100M+ enterprises, including successful SEO-driven lead generation programs. The discussion covers implementing Content Guardian agents for automated brand voice and accuracy validation, establishing publish-ready checklists that separate objective compliance checks from subjective editorial decisions, and building guardrails that enable teams to focus human expertise on strategic differentiation rather than manual quality control.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most businesses are still doing everything manually… and that's exactly why they're stuck.Right now, you either figure out how to move faster or you fall behind. AI gives you the ability to create more content, fix your messaging, and improve your systems without adding more hours to your day.In this video, I walk you through 5 simple ways to use AI inside your business right now. From generating content ideas when you feel stuck, improving your offer so it actually converts, and analyzing competitors to fix what's broken in your funnel.If your conversion rate is low, that's not random. There's always a reason. Even a small improvement can change everything.This is about working smarter, not harder. Use tools that help you think faster, write faster, and execute faster.If you're not doing that yet, you're leaving a lot of opportunities on the table.#AIforBusiness #DigitalMarketing #Entrepreneurship #ContentCreation #Marketing #BusinessGrowth #MarketingStrategy---------------About Manuel Suarez:Manuel Suarez, known as the Marketing Ninja and a best-selling author of Marketing Magic, leads Attention Grabbing Media (AGM), a marketing agency honored three times on the Inc 5000 list. With a team of over 120, AGM specializes in turning attention into profit for a wide range of brands. In 2023 alone, brands managed by AGM exceeded 250 million USD in revenue.Manuel is also the co-founder of NaturalSlim, a self-funded high-9-figure brand. He has helped elevate thousands of businesses across multiple industries and has directed marketing campaigns for industry leaders such as Grant Cardone and Daymond John.He is also responsible for building and scaling one of the largest health-focused YouTube channels in the U.S., MetabolismoTV, which alone has over 10.7 million subscribers. Over the past seven years, Manuel's strategies have generated more than 8 billion views, 5 million leads, and over 500 million USD in tracked revenue across digital platforms.Follow Manuel Suarez on Social Media:Facebook: https://www.facebook.com/theninjamarketer/Instagram: https://www.instagram.com/mrmanuelsuarez/TikTok: https://www.tiktok.com/@mrmanuelsuarezX (formerly Twitter): https://x.com/MrManuelSuarezLinkedIn: https://www.linkedin.com/in/mrmanuelsuarez/Learn More About AGM:Visit our website: https://www.agmagency.comNeed Help with Your Marketing?Talk to a Ninja: https://www.talktoaninja.comCheck Out Manuel's Book, a #1 Seller on Amazon:Marketing Magic by Manuel Suarez: https://a.co/d/gbwHKSf

Sun, 10 May 2026 15:00:00 GMT http://relay.fm/mpu/848 http://relay.fm/mpu/848 eReaders and Workflows with Jason Snell 848 David Sparks and Stephen Robles Jason Snell joins the show to discuss the state of e-readers, why dedicated reading devices still beat the iPad, and whether Kindle or Kobo is the better ecosystem today. We also dive into libraries, physical books, note-taking devices, and color e-ink. Jason Snell joins the show to discuss the state of e-readers, why dedicated reading devices still beat the iPad, and whether Kindle or Kobo is the better ecosystem today. We also dive into libraries, physical books, note-taking devices, and color e-ink. clean 5276 Jason Snell joins the show to discuss the state of e-readers, why dedicated reading devices still beat the iPad, and whether Kindle or Kobo is the better ecosystem today. We also dive into libraries, physical books, note-taking devices, and color e-ink. This episode of Mac Power Users is sponsored by: Mercury Weather: Forecasts, beautifully done. Download now for free. Ecamm: Powerful live streaming platform for Mac. 1Password: Never forget a password again. Links and Show Notes: Sign up for the MPU email newsletter and join the MPU forums. You can watch the podcast over on YouTube. Credits The Mac Power Users Stephen Robles David Sparks The Editor Jim Metzendorf The Fixer Kerry Provanzano More Power Users: Ad-free episodes with regular bonus segments Submit Feedback Kobo Libra Colour Review: Color, but at what cost? – Six Colors Boox Palma review: A phone-shaped e-reader – Six Colors Shop all Kindle | Amazon Kobo Sage | Rakuten Kobo eReader Store United States Libby - Library hoopla | streaming audiobooks, music, video & ebooks GitHub - crosspoint-reader/crosspoint-reader: Firmware for the Xteink X4 e-paper display reader · GitHub Daylight | A More Caring Computer calibre - E-book management Goodreads | Meet your next favorite book The Incomparable - Smart, funny pop culture podcasts Apple in China | Book by Patrick McGee | Official Publisher Page | Simon & Schuster Rethinking RSS, newsletters, and how I read every morning – Six Colors