Podcasts about technologists

Brittany Brown and Mei Fong from Windfall Trust talk with Paul Fain about how the U.S. should be preparing for AI-driven job displacement. Windfall Trust is a policy research organization that runs scenario planning exercises to help governments and institutions prepare for AI—comparing the potential economic disruption to a natural disaster. Brown worked at the White House and the Pentagon during four presidential administrations. Fong is a former reporter who won a Pulitzer Prize for her work at The Wall Street Journal. Chapters 00:00 What Windfall Trust does: preparing for AI's economic disruption and making sure the benefits are broadly shared. 01:15 How prepared is the U.S.? The hurricane analogy: disasters hit hardest where systems are already broken. 03:40 How close is the tsunami? A "low hire, low fire" job market, hiring drops in exposed fields, and why current data misses it. 06:10 "The dam broke": The existential-risk debate, the either/or framing, and Mei's comparison to China's one-child policy. 09:10 Scenario planning, not prediction: Brittany on tabletop exercises at the Pentagon and White House, and the Russia–Ukraine example. 14:55 Inside a Windfall scenario exercise: 2028–2030 forecasts, a K-shaped economy, South Korea's chip windfall, and the U.S. tying health insurance and benefits to jobs. 16:55 Beyond unemployment numbers: Job quality, gig work, and who holds power and benefits from AI. 19:10 Getting everyone in the room: Technologists, economists, policymakers, and labor leaders, an 11-year-old's view of an AI documentary, and how similar D.C. and Silicon Valley turn out to be. 27:00 Has the Overton window shifted? Going beyond retraining: portable benefits, apprenticeships, incentives, and whether job training belongs in the solution. 32:55 Acting now: College costs and debt, states as policy testbeds, and whether support is framed as welfare or as something people are owed. 35:55 Trust in government: Findings from a 60+ country survey, including that most people would choose a job over a basic income. 37:55 Reasons for hope: The Great Society, the CDC's fight against malaria, and a window that's still open. 41:40 The data center backlash: Can grassroots opposition turn into a positive push on economic impacts? The "tip of the iceberg" idea. 45:05 How fast this needs to happen: Speed compared with past technology shifts, "no regrets" moves, and AI already affecting low-wage workers. 48:35 How to get involved: The midterms, AI in your own workplace, Flock cameras, and holding elected officials accountable. 51:05 Wrap-up: Meeting Brittany's puppy, Beats. Mentioned in this episode Windfall Trust: Brittany Brown and Mei Fong from Windfall Trust talk with Paul Fain about how the U.S. should be preparing for AI-driven job displacement. Windfall Trust is a policy research organization that runs scenario planning exercises to help governments and institutions prepare for AI—comparing the potential economic disruption to a natural disaster. Brown worked at the White House and the Pentagon during four presidential administrations. Fong is a former reporter who won a Pulitzer Prize for her work at The Wall Street Journal. Chapters 00:00 What Windfall Trust does: preparing for AI's economic disruption and making sure the benefits are broadly shared. 01:15 How prepared is the U.S.? The hurricane analogy: disasters hit hardest where systems are already broken. 03:40 How close is the tsunami? A "low hire, low fire" job market, hiring drops in exposed fields, and why current data misses it. 06:10 "The dam broke": The existential-risk debate, the either/or framing, and Mei's comparison to China's one-child policy. 09:10 Scenario planning, not prediction: Brittany on tabletop exercises at the Pentagon and White House, and the Russia–Ukraine example. 14:55 Inside a Windfall scenario exercise: 2028–2030 forecasts, a K-shaped economy, South Korea's chip windfall, and the U.S. tying health insurance and benefits to jobs. 16:55 Beyond unemployment numbers: Job quality, gig work, and who holds power and benefits from AI. 19:10 Getting everyone in the room: Technologists, economists, policymakers, and labor leaders, an 11-year-old's view of an AI documentary, and how similar D.C. and Silicon Valley turn out to be. 27:00 Has the Overton window shifted? Going beyond retraining: portable benefits, apprenticeships, incentives, and whether job training belongs in the solution. 32:55 Acting now: College costs and debt, states as policy testbeds, and whether support is framed as welfare or as something people are owed. 35:55 Trust in government: Findings from a 60+ country survey, including that most people would choose a job over a basic income. 37:55 Reasons for hope: The Great Society, the CDC's fight against malaria, and a window that's still open. 41:40 The data center backlash: Can grassroots opposition turn into a positive push on economic impacts? The "tip of the iceberg" idea. 45:05 How fast this needs to happen: Speed compared with past technology shifts, "no regrets" moves, and AI already affecting low-wage workers. 48:35 How to get involved: The midterms, AI in your own workplace, Flock cameras, and holding elected officials accountable. 51:05 Wrap-up: Meeting Brittany's puppy, Beats. Mentioned in this episode Windfall Trust: https://windfalltrust.org/ Policy atlas: https://windfalltrust.org/policy-atlas Scenario exercises: https://windfalltrust.org/scenarios Survey results: https://windfalltrust.org/global-dialogues-survey Stanford data: https://digitaleconomy.stanford.edu/publications/canaries-in-the-coal-mine Apollo on wages: https://www.apollo.com/wealth/insights-news/insights/daily-spark/ai-lowers-wages-but-doesnt-cut-jobs Mei Fong's book: https://www.nbcnews.com/news/asian-america/one-child-policy-ends-new-book-examines-chinas-most-radical-n462401 Gina Raimondo interview: https://thecontextwindowpodcast.substack.com/p/gina-raimondo-on-what-companies-owe NPR on The AI Doc: https://www.wwno.org/npr-news/2026-04-21/ai-doc-explores-promises-and-risks-of-rapidly-developing-artificial-intelligenc American Compass: https://americancompass.org/worker-power-in-the-age-of-ai/ About The Cusp This podcast explores how the U.S. should be preparing for potential AI-driven disruption to jobs. Host Paul Fain talks with top experts about how the U.S. education and workforce systems can be part of the solution, what sort of policies will be needed, and who should pay for all this. The Cusp is produced by Work Shift, an independent, nonprofit newsroom reporting on connections between education and work. Get The Job, Paul Fain's weekly newsletter: https://workshift.org/the-job/ All episodes: https://workshift.org/the-cusp/ Work Shift on LinkedIn: https://www.linkedin.com/company/workshiftnews

What exactly does a sleep technologist do? And how does someone build a career in the world of polysomnography?On this episode of SleepTech Talk, we sit down with Khem Ballaho, MBA, RPSGT, to talk about his personal journey into the sleep field—and his mission to make sleep technology easier for others to understand.Khem shares his journey from moving to the United States and beginning his career as a sleep technologist, to earning his MBA and taking on leadership responsibilities within a sleep department.We also explore the educational work he does through his YouTube channel and social media, where he helps introduce people to the world of sleep technology and gives those interested in the profession a better understanding of what a career in polysomnography can look like.In this episode, we discuss:• Khem's journey from overseas to the United States• His experience as a sleep technologist and how his career evolved• Going from the sleep lab to earning an MBA and leading a department• What a career in polysomnography and sleep technology can look like• Why educating people about the profession is so important• How social media and YouTube can help introduce the next generation to sleep technology• Resources for people who are curious about becoming a sleep technologistWhether you're already working in sleep medicine, considering a career in polysomnography, or simply curious about what happens behind the scenes in a sleep lab, this conversation offers an inside look at the people and technology that make sleep medicine possible.You can learn more about Khem here:YouTube: https://www.youtube.com/@khemballahoRPSGTInstagram: @nightshiftacademyLinkedIn: https://www.linkedin.com/in/khem-ballaho-2b02064a/A huge thanks to our sponsors:Fisher & Paykel Healthcare  Discover how F&P full-face masks have led millions of people to a great night's sleep at https://www.fphcare.com/curiosityhttps://www.fphcare.com/us/homecare/sleep-apnea/Philips Healthcare   See how Philips is supporting you and your patients with meaningful innovation. Visit https://www.philips.com/matters Soliish https://www.soliish.com/React Health  https://www.reacthealth.com/More resources for clinicians can be found at Sleep Review Magazine  https://sleepreviewmag.com/Credits:Audio/ Video: Diego R Mannikarote; Music: Pierce G MannikaroteHosts: J. Emerson Kerr, Robert Miller, Gerald George MannikaroteCopyright: ⓒ 2026 SleepTech Talk ProductionsEpisode 132The views and opinions expressed by guests on SleepTech Talk are their own and do not necessarily reflect those of the podcast hosts or SleepTech Talk as a whole. This podcast is intended for educational and informational purposes only and should not be considered medical advice. Listeners are encouraged to consult with a qualified healthcare professional for any medical concerns or questions.#SleepTechTalk #SleepTechnology #Polysomnography #SleepTechnologist #RPSGT #SleepMedicine #SleepTech

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

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Lyle Maxson is the founder and CEO of ABOVE, a technology company pioneering Reflective AI. His work explores how AI, wearables, and immersive technology can strengthen self-awareness, emotional intelligence, personal growth, and human connection. Connect with Lyle: Go Above AI: https://goabove.ai/ Website: https://lylemaxson.com/ Linkedin: linkedin.com/in/lylemaxson Instagram: https://www.instagram.com/lylemaxson/

Today, we're joined by David Dean, a technology and AI leader with 20 years of experience helping organizations move from ambiguity to execution. David's career has evolved from hands-on technology and infrastructure into enterprise architecture, intelligent automation, AI strategy, governance, and organizational transformation. He has led AI and automation initiatives in complex, regulated environments, including work that reduced processing times by more than 90%.Today, David advises senior leaders on AI strategy, governance, automation, and responsible AI adoption. He is also an author and speaker whose work explores what AI reveals about how organizations - and the people inside them - actually work. That perspective is especially relevant for people in transition because AI isn't just changing jobs; it's changing how candidates need to communicate the experience, judgment, accountability, and lessons they bring to their next opportunity.In our conversation, David and I explored what that means for candidates as AI becomes part of both sides of the hiring process:From “what you did” to “how you did it”How will AI change the way candidates demonstrate the value of their experience?Your “how” as your competitive advantageWhen both companies and candidates use AI, how do you make your lived experience and judgment stand out?Building your “how” inventory – Dictate this to get the real flavor/feelingHow can challenges, mistakes, and lessons learned help you uncover and articulate what you actually know how to do?Adversity, failure, and accountabilityHow can overcoming adversity—and learning from failure—become powerful evidence of your value to a hiring manager?AI as a tool for self-realizationHow can you use AI to test whether your stories answer the “how” completely and compellingly?The new personal brand for candidatesAs AI makes keywords and polished résumés easier to produce, how will your judgment, accountability, and authentic experience define your next great opportunity?As we close, this is a fascinating time to be watching the recruiting scene. AI will continue to change how companies identify talent and how candidates present themselves. Successful candidates will need to adapt their style, clarify the “how” behind their experience, and define their next great opportunity. For more questions and to learn more about David's work, visit his LinkedIn profile and personal website davidchristopherdean.com Send us Fan Mail

Danish below What happens to design when everyone can suddenly code? Tina Tarighian is a senior creative technologist at Google Creative Lab in New York. She works at the intersection of technology, design, code and art, right in the middle of the changes AI is already bringing to the creative industries. As AI makes it easier to code, design and create, does that mean we'll need fewer creative people? Or will the ability to think independently, have taste and ask the right questions become more important? Tina is already seeing the boundaries between designer, developer and creative technologist blur. She doesn't necessarily see that as a threat, but as an opportunity for creative people to have more control over their own ideas. At the same time, she is concerned about the other side of the equation: a job market where it's harder for juniors to get started, a growing distrust of designers, and technology that can affect people in ways we don't fully understand yet. Tina also works as an artist, using technology to explore AI, identity, surveillance and our increasingly intimate relationship with technology. Because when technology becomes easier to use, it may become even more important to know why you're using it. We talk about AI, design, art, vibe coding, design education, and why Tina believes you should “take the unlikely path.” With: Tina Tarighian Host: Kristina May   Hvad sker der med design, når alle pludselig kan kode? Tina Tarighian er senior creative technologist hos Google Creative Lab i New York. Hun arbejder i krydsfeltet mellem teknologi, design, kode og kunst og står midt i den forandring, AI allerede skaber i de kreative fag. For når AI gør det lettere at kode, designe og skabe, betyder det så, at vi får brug for færre kreative mennesker? Eller bliver evnen til at tænke selvstændigt, have smag og stille de rigtige spørgsmål vigtigere? Tina oplever allerede, hvordan grænserne mellem designer, udvikler og creative technologist flyder sammen. Hun ser det ikke nødvendigvis som en trussel, men som en mulighed for, at kreative mennesker får mere kontrol over deres egne idéer. Samtidig er hun optaget af bagsiden: et arbejdsmarked, hvor juniorer har sværere ved at komme ind, en voksende mistillid til designere og en teknologi, der kan påvirke mennesker på måder, vi endnu ikke forstår. Tina arbejder også som kunstner og bruger teknologi til at undersøge bl.a. AI, identitet, overvågning og vores stadig mere intime forhold til teknologien. For når teknologien bliver lettere at bruge, bliver det måske endnu vigtigere at vide, hvorfor man bruger den. Vi taler om AI, design, kunst, vibe coding, designuddannelser og om, hvorfor Tina mener, at man skal “take the unlikely path.”

Mentor Sessions 092: Michael Sullivan explains Bitcoin sentiment analysis, emotional cohort signals, OG optimism, narrative shifts, and why the data may point to a bottom.Bitcoin sentiment just did something it rarely does after a 22% rip: it stayed calm. No euphoria, no desire spike, no retail flooding back — and that gap between the price move and the emotional data is where the real signal lives.Michael Sullivan — an engineer and fiction writer turned Bitcoin sentiment analyst — breaks down how he tracks 14 distinct emotions across cohorts of Bitcoiners, from OGs and technologists to MSTR treasury speculators. You'll learn why he cohorts the crowd instead of scraping social media, why the Fear & Greed Index misses all the nuance, and why he reads OG optimism as one of the most reliable early signals that positive things are on the horizon. You'll see why 'desire' language sits inversely correlated with price, why the near-total absence of a new narrative can be wildly bullish near a bottom, and how the BIP-110 debate produced algorithmic engagement patterns that looked artificially farmed. He also lays out the AI-bubble-to-Bitcoin thesis and why he's personally bearish by instinct but bullish on the data.⏱️ Timestamps:0:00 - Intro0:38 - Why this rally feels like disbelief1:09 - Massive sentiment phase shift after crash2:01 - Rally lacks expected euphoria levels3:05 - Tracking caring language in ColdCard event3:58 - Technologists impressed most during crisis5:12 - Studying Saylor's four Bitcoin cohorts6:33 - MSTR shareholders as conviction outlier7:18 - OG optimism as reliable bullish signal7:59 - Are OGs turning optimistic now9:56 - Emotions linked to time and excitement11:40 - Downturn negative language uniquely severe12:40 - Desire language at market tops and bottoms16:52 - How language analysis became his focus19:11 - BIP-110 debate through psychology lens21:09 - Algorithmic engagement that felt farmed26:55 - AI bots distorting sentiment data29:47 - Spotting leaders and narrative first movers32:56 - Narratives shaping markets and price34:37 - Absence of narrative as bullish signal36:42 - Does price or emotion move first40:03 - AI deflation versus Bitcoin scarcity thesis40:30 - Euphoria missing at prior all-time high45:17 - Bitcoiners versus treasury company speculators50:07 - Conviction language versus hedging explained54:03 - Denoising sarcasm with cohort analysis59:31 - Signals needed to confirm bearish view1:00:06 - Data pointing bullish over coming months1:02:10 - Where to follow Michael's latest workMichael writes deep analysis on Bitcoin sentiment and shares it on X and Substack — links below.

This week we're diving into a challenge that's becoming increasingly important: how do we make sure our engineering workflows, software, data, and AI can all work together reliably? My guest is Jonathan Wright, Chief Technologist at Keysight. Jonathan and I chat about the industry's shift toward multi-physics and application-specific workflows and how that evolution is changing the way engineering teams tackle system complexity. We also explore the biggest 'hidden' risks engineering teams face today and delve into that "AI Assurance" void that is slipping under the radar of so many engineering teams today.

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"Our own personal longevity is only 25% genetic. So the other 75% are in our control." — Michael Clinton  KEY LINKS  Learn more about “Longevity Nation: The People, Ideas, and Trends Changing the Second Half of Our Lives” HERE  Michael Clinton's Roar Forward, including the Reimagineers stories and free monthly newsletter is HERE  Connect with Michael Clinton on LinkedIn HERE   Read Age Better Cheat Sheet on Substack HERE  Barbara's Website is HERE   ABOUT THIS EPISODE  Michael Clinton ran Hearst Magazines. Then he left, wrote ROAR, built a company, and ran a marathon on every continent — most of it after 60.  For his new book – Longevity Nation -- he interviewed more than 70 experts. Not just doctors. Technologists, urban planners, dermatologists, wealth strategists. What came back was a single, connected picture of what it actually takes to live a long life well — and it is far more in your hands than you have been led to believe.  Here's what you'll take away:  Life layering. Why the old sequence — school, work, retire — is obsolete, and how to build a second set of identities in your 50s, 60s, and beyond. The 57-year-old with the kids gone and the job gone is at a beginning, not an end.  Proof it's never late. A woman took her first welding class at 70 and launched a business at 81. A veterinarian started school at 56.  Baby steps, not overhauls. Michael's exact instruction for starting anything new — and why nobody solves this in a weekend.  The money conversation nobody has. The one question to ask your bank that tells you whether your money outlives you. Plus a statistic about women and their finances that will make you sit up.  Loneliness and frailty. Why your world quietly shrinks, how that becomes a physical problem, and the single habit every expert on this show agrees on.  What's actually here now. Wearables, early-detection testing, GLP-1s beyond weight loss, and precision medicine built around your biology, not the average.  And one thing to do this week. Just one. You'll know it when you hear it.  You can't control getting older . . . but you can control how you do it.

In this engaging episode, Pipeman sits down with progressive heavy metal band Technologist from Manchester, UK, for a dynamic discussion about concept-driven music, their journey through the UK metal scene, and the hard work behind being an independent band. Listeners get insights into the band's origins, their path to performing at the renowned Bloodstock Festival, and the realities of DIY success in the music industry. The conversation is lighthearted, filled with music fan stories, and offers valuable advice for musicians.Main Topics CoveredThe origin and meaning of the band name "Technologist"Conceptual storytelling in music and environmental themesRealism in sci-fi and its overlap with realityCelebrity musicians in heavy metal and rockPerseverance in the competitive Manchester metal sceneMetal to the Masses competition and Bloodstock Festival experienceCrafting progressive metal that's technical yet accessibleImportance of collaboration, feedback, and humility within bandsThe hard work behind DIY releases and promotionThe value of delegating tasks and building a solid teamTrust and open-mindedness in the creative processWays fans can support Technologist and upcoming music releasesKey Discussions & StoriesBand Origins & ConceptThe story behind Technologist is set 40 years in the future, focusing on a world suffering from environmental neglect. The titular Technologist tries to build life-generating machinery, only to have it stolen, prompting a quest to reclaim it for the planet's good (00:53).The band prioritizes creating a realistic story that mirrors real-life issues and keeps sci-fi elements grounded (01:07).Celebrity Metal Fans and MusiciansDiscussion about William Shatner (James T. Kirk) performing with a metal band at age 95, including his quirky demands such as traveling to the stage in a DeLorean and requesting sauerkraut in his dressing room (02:06).Other rock/actor crossovers mentioned, including Christopher Lee and Keanu Reeves (04:04).Story about Taylor Momsen leaving acting to pursue her passion for rock music (04:35).Bloodstock Festival and Metal to the MassesTechnologist describes their years-long journey through the highly competitive Manchester scene, winning the Metal to the Masses competition and finally playing Bloodstock after almost 20 years of attending (07:08).Pipeman highlights the inclusive, supportive environment at Bloodstock, contrasting it with other festivals (08:50, 09:26).Panel discussion on how healthy competition advances musicianship and fosters community (10:01).Musicianship & ProgressTechnologist is committed to progressive heavy metal with complex time signatures and dynamics while keeping the music energetic and headbangable (06:23).The band credits ongoing self-critique, applying judges' feedback, and persistence for their growth (13:33).The importance of practicing and the realities behind being a "working musician"—the hours not just in playing, but in social media, promotion, and logistics—and doing everything independently for their debut album (15:21, 16:32).Collaboration & TeamworkBoth band and interviewer emphasize the need to delegate and work as a team, recognizing one's own strengths and weaknesses. Having trusted collaborators or producers makes for better results, both for bands and interviewers (17:41, 18:43).Notable examples include Metallica's evolution with producer Bob Rock and Paul McCartney's perspective on The Beatles (19:01).Trust and humility in the creative process: band members discuss open-mindedness to feedback, not being afraid to try out new ideas, and letting go of ownership for the good of the song (23:19).Notable Quotes"The more we try and fix shit, the more we break it." — Pipeman (01:34)"Music is not a competition, really." (07:43)"It takes about 20 years to become an overnight success." — Pipeman (12:03)"You have to absolutely love all of it, you know." — Pipeman (16:27)"If you stifle [creativity], it's not gonna be good… you're all artists." — Pipeman (24:47)"We're not afraid of being wrong sometimes... that's how some of our best music was written." (23:36)Resources & LinksTechnologist on Streaming Platforms: Search for Technologist on Spotify and major streaming services.Support on Bandcamp: For merch, physical CDs, and digital support, visit their Bandcamp page.Social Media: Follow and connect on Facebook and Instagram for music updates and live dates.Upcoming Release: New single "Rearrange" and accompanying music video slated for release in about a month (25:57).Become a supporter of this podcast: https://www.spreaker.com/podcast/the-adventures-of-pipeman--941822/support.Click Here to Subscribe for PERKS, BONUS Content & FREE GIVEWAYS!Follow @pipemanradio on all socials & Pipeman Radio Requests & Info at www.linktr.ee/pipemanradioStream The Adventures of Pipeman daily & live Mondays, Tuesdays, Wednesdays at 1PM ET on W4CY Radio & Talk 4 TV. Download, Rate & Review the Podcast at The Adventures of Pipeman, Pipeman Radio, Talk 4 Media, iHeartRadio, Apple Podcasts, YouTube & All Podcast Apps.

In this engaging episode, Pipeman sits down with progressive heavy metal band Technologist from Manchester, UK, for a dynamic discussion about concept-driven music, their journey through the UK metal scene, and the hard work behind being an independent band. Listeners get insights into the band's origins, their path to performing at the renowned Bloodstock Festival, and the realities of DIY success in the music industry. The conversation is lighthearted, filled with music fan stories, and offers valuable advice for musicians.Main Topics CoveredThe origin and meaning of the band name "Technologist"Conceptual storytelling in music and environmental themesRealism in sci-fi and its overlap with realityCelebrity musicians in heavy metal and rockPerseverance in the competitive Manchester metal sceneMetal to the Masses competition and Bloodstock Festival experienceCrafting progressive metal that's technical yet accessibleImportance of collaboration, feedback, and humility within bandsThe hard work behind DIY releases and promotionThe value of delegating tasks and building a solid teamTrust and open-mindedness in the creative processWays fans can support Technologist and upcoming music releasesKey Discussions & StoriesBand Origins & ConceptThe story behind Technologist is set 40 years in the future, focusing on a world suffering from environmental neglect. The titular Technologist tries to build life-generating machinery, only to have it stolen, prompting a quest to reclaim it for the planet's good (00:53).The band prioritizes creating a realistic story that mirrors real-life issues and keeps sci-fi elements grounded (01:07).Celebrity Metal Fans and MusiciansDiscussion about William Shatner (James T. Kirk) performing with a metal band at age 95, including his quirky demands such as traveling to the stage in a DeLorean and requesting sauerkraut in his dressing room (02:06).Other rock/actor crossovers mentioned, including Christopher Lee and Keanu Reeves (04:04).Story about Taylor Momsen leaving acting to pursue her passion for rock music (04:35).Bloodstock Festival and Metal to the MassesTechnologist describes their years-long journey through the highly competitive Manchester scene, winning the Metal to the Masses competition and finally playing Bloodstock after almost 20 years of attending (07:08).Pipeman highlights the inclusive, supportive environment at Bloodstock, contrasting it with other festivals (08:50, 09:26).Panel discussion on how healthy competition advances musicianship and fosters community (10:01).Musicianship & ProgressTechnologist is committed to progressive heavy metal with complex time signatures and dynamics while keeping the music energetic and headbangable (06:23).The band credits ongoing self-critique, applying judges' feedback, and persistence for their growth (13:33).The importance of practicing and the realities behind being a "working musician"—the hours not just in playing, but in social media, promotion, and logistics—and doing everything independently for their debut album (15:21, 16:32).Collaboration & TeamworkBoth band and interviewer emphasize the need to delegate and work as a team, recognizing one's own strengths and weaknesses. Having trusted collaborators or producers makes for better results, both for bands and interviewers (17:41, 18:43).Notable examples include Metallica's evolution with producer Bob Rock and Paul McCartney's perspective on The Beatles (19:01).Trust and humility in the creative process: band members discuss open-mindedness to feedback, not being afraid to try out new ideas, and letting go of ownership for the good of the song (23:19).Notable Quotes"The more we try and fix shit, the more we break it." — Pipeman (01:34)"Music is not a competition, really." (07:43)"It takes about 20 years to become an overnight success." — Pipeman (12:03)"You have to absolutely love all of it, you know." — Pipeman (16:27)"If you stifle [creativity], it's not gonna be good… you're all artists." — Pipeman (24:47)"We're not afraid of being wrong sometimes... that's how some of our best music was written." (23:36)Resources & LinksTechnologist on Streaming Platforms: Search for Technologist on Spotify and major streaming services.Support on Bandcamp: For merch, physical CDs, and digital support, visit their Bandcamp page.Social Media: Follow and connect on Facebook and Instagram for music updates and live dates.Upcoming Release: New single "Rearrange" and accompanying music video slated for release in about a month (25:57).Pipeman in the Pit is a music, festival, and interview segment of The Adventures of Pipeman Radio Show (#pipemanradio) and from The King of All Festivals while on The Pipeman Radio Tour. Become a supporter of this podcast: https://www.spreaker.com/podcast/pipeman-in-the-pit--2287932/support.Click Here to Subscribe for PERKS, BONUS Content & FREE GIVEWAYS!Follow @pipemanradio on all socials &  Pipeman Radio Requests & Info at www.linktr.ee/pipemanradioStream The Adventures of Pipeman daily & live Mondays, Tuesdays, Wednesdays at 1PM ET on W4CY Radio & Talk 4 TV. Download, Rate & Review the Podcast at The Adventures of Pipeman, Pipeman Radio, Talk 4 Media, iHeartRadio, Apple Podcasts, YouTube & All Podcast Apps.

Paris McCoy is the Executive Director of Tec Leimert. Ms. McCoy is a multifaceted professional, who transforms intricate ideas into visually compelling narratives as a Transmedia Creative Producer and Technologist, Cinematographer, and Business Strategist. Tec Leimert is a hub of Technology Entertainment Convergence, of Art & Tech leaders in South LA. https://www.instagram.com/TECLeimert/ https://www.instagram.com/diprimaradio/

Paris McCoy is the Executive Director of Tec Leimert. Ms. McCoy is a multifaceted professional, who transforms intricate ideas into visually compelling narratives as a Transmedia Creative Producer and Technologist, Cinematographer, and Business Strategist. Tec Leimert is a hub of Technology Entertainment Convergence, of Art & Tech leaders in South LA. https://www.instagram.com/TECLeimert/ https://www.instagram.com/diprimaradio/

What makes a country truly AI-ready in 2026? In this episode of UC Today, host Christopher Carey sits down with John Durcan, Chief Technologist at IDA Ireland — Ireland's Foreign Direct Investment Agency — to explore how enterprises are approaching AI adoption, what's driving global tech investment decisions, and why regulation might actually be Europe's secret weapon.John shares insights from his conversations with multinational companies on the ground in Ireland, covering:What separates AI-ready countries from the restHow the EU AI Act is shaping enterprise strategyThe rise of agentic AI across financial services, MedTech, and life sciencesWhy digital sovereignty is now a boardroom conversationThe real impact of AI on jobs — and what companies are doing about itWhether you're a technology leader, investor, or enterprise decision-maker, this is a conversation you won't want to miss.

Karen Anderson shares how she moved from mammography into leadership, mobile breast imaging, community outreach and a corporate career with Siemens Healthineers.Sponsored by Siemens HealthineersLet me be real with you, this episode is the kind that makes a Mammography and Radiologic Technologist stop and go "wait, what?" I sat down with Karen Anderson, Scientific Marketing Manager and Key Opinion Leader Manager for North American Women's Health at Siemens Healthineers. She's been a mammographer for 37 years and still scans on Saturdays. Karen walked me through how she turned a 3-to-6-month wait at her old breast center into a 3-day turnaround, how she raised $42 million to build a new one from the ground up, and how Siemens' mobile units are now bringing 15-minute screenings, 4.8-second image sweeps, and 50-degree wide-angle tomosynthesis straight into communities that need it most.If you're a tech thinking about mammography, mobile imaging, or community health as your next move, this one's for you.Bring a mobile unit to your community → Community Outreach Program linkIn this episode:How Karen turned a 3-to-6-month mammogram backlog into a 3-day wait, then raised $42 million to expand access even furtherWhat actually happens during a 15-minute mobile mammogram, from registration to resultsWhy Siemens' 50-degree wide-angle tomo and 4.8-second scan time matter for image quality and patient comfortHow hospitals and health systems can partner with Siemens to bring a mobile mammography unit into their own communityReal patient stories from the Philadelphia mobile unit, including a woman too afraid of radiation to get screened, and a man who showed up with a mammogram referral in handCareer advice for technologists considering mammography or mobile/community imaging as their next moveGuest: Karen Anderson, Scientific Marketing Manager and Key Opinion Leader Manager for North American Women's Health, Siemens Healthineers. Registered radiologic technologist and mammographer with 37 years of experience, former breast center director who raised $42 million to fund a new facility.Resources mentioned:Learn more about Siemens Healthineers mobile mammography and how to request a unit: PennMedicine.org/MobileMammoMQSA 30-day results reporting standard (referenced in episode)mobile mammography, mammogram screening, women's health, breast cancer awareness, community health outreach, free mammograms, Philadelphia health initiatives, breast imaging technology, Siemens Healthineers, healthcare access, mammography technologists, early detection breast cancer, mobile health units, patient education mammography, mammography partnerships, healthcare equity, women's health screenings, radiologic technologist career, mammogram process, mobile health programsMentioned in this episode:Rachel the Radiographer

this week. We'll be finding out what exactly is the professional association of assistive technologists, Toby Davey will be finding out about some new products in the RNIB shop, and Amelia Hilton hears about an app to provide discrete feedback on people's facial expressions. You can hear the show each Tuesday at 1pm, listen on Freeview channel 730, online or on smart devices. If you have any thoughts, questions or suggestions, drop us an email at techtalk@rnib.org.uk 

A good research idea is not always a good research question. Bruno Hochhegger, MD, PhD, speaks with host Amit Gupta, MD, about choosing research questions that are clinically relevant, feasible, and worth pursuing in real-world settings. Listen to their discussion in episode 1 of The Early Career Researcher's Playbook, an AJR Podcast Series. Full article: https://www.ajronline.org/doi/10.2214/AJR.26.35586 *Key Takeaways Defining Clinical Relevance: A strong research question must answer a direct patient management issue, such as determining if a nodule is benign or malignant. The Feasibility and Sustainability Matrix: Moving from simple case reports to professional science requires navigating EMRs, securing IRB authorizations, and finding reliable grant funding. The AI Implementation Trap: While building artificial intelligence models on GitHub has become more accessible, adequately validating these tools for real-world clinical practice remains a massive, frequently underestimated hurdle. Multidisciplinary Research Networks: True feasibility requires nonmedical input; successful projects demand early feedback from IT departments, technologists, and referring surgeons to ensure workflows survive reality. *Key Moments 00:00 Intro and Welcome 01:18 The Importance of Small Steps: Lessons from a Failed MRI Lung Cancer Screening Trial. 04:30 Defining Clinical Relevance and the Crucial Role of the Physician-Researcher. 07:47 Assessing Feasibility: Navigating EMRs, IRB Approvals, and Data Access. 08:45 Research Sustainability: Securing Grants and Transitioning from Voluntary to Professional Science. 10:50 The AI Feasibility Trap: Why Validating Models is Harder Than Coding on GitHub. 16:08 Identifying the Key Indication: Solving Direct Patient Management Questions. 21:51 Beyond Mentorship: Building a Network Across IT, Technologists, and Referring Clinicians. 28:51 Establishing Niche Expertise: Strategic Advice for Radiology Residents and Fellows 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 Threads: https://www.threads.com/@ajr_radiology *These portions of the page were generated using artificial intelligence (Google Gemini) and then reviewed for accuracy.

TechSurge is sponsored by Notion. From product roadmaps to investor updates, Notion is where modern teams plan, write, and ship together. Get started at http://notion.dev/techsurge.Search began as a way to find pages. AI is turning it into a way to ask, reason, decide, and act.Search has always been more than a technical problem. It is a way of organising knowledge, connecting intent with information, and increasingly, turning questions into actions. In the age of artificial intelligence, that basic function is being redefined.In this episode of TechSurge, host Sriram Vishwanath speaks with Prabhakar Raghavan, Chief Technologist at Google, about the long arc of search: from the early web and link analysis to knowledge graphs, language models, transformers, Gemini, and the unresolved question of how AI will change the way we find, trust, and use information.Prabhakar reflects on his career as a computer scientist, researcher, and technology leader, beginning with his time at IBM Research, where he worked on algorithms, optimization, databases, and early information retrieval. He explains how the explosion of unstructured data on the web created a new class of technical and economic problems. Search was not simply about indexing pages; it was about imposing structure on a chaotic information environment and building mechanisms that could connect supply, demand, relevance, authority, and trust.The conversation traces how early search evolved through link analysis and PageRank, drawing on ideas from scholarly citation analysis, graph theory, and algorithmic ranking. Prabhakar describes why authority and trust became central to search as the web grew, and why users themselves changed alongside the technology. As search engines became more capable, people moved from looking for simple webpages to asking richer, more contextual questions that required intent understanding rather than mere document retrieval.Sriram and Prabhakar then explore the transition from classical search to AI-infused products. Through examples such as Gmail Smart Reply, Smart Compose, Google Drive recommendations, and knowledge graphs, Prabhakar shows how prediction, context, and language modelling were already reshaping user experiences well before the current generative AI wave. These systems were early signals of a broader shift: computers moving from retrieving information to anticipating what users might need next.The episode also offers a technical tour of the major algorithmic milestones that led to today's AI systems, including deep learning, sequence-to-sequence models, attention mechanisms, transformers, and the compute architectures needed to train and serve large models. Prabhakar explains why attention changed the quality of language modelling, why AI systems appear increasingly conversational, and why compute remains one of the central constraints in the field.At the heart of the discussion is the central tension facing search today: if AI systems can generate answers directly, what becomes of search as we know it? Prabhakar does not frame AI as the end of search, but as its next transformation. The future of search may be less about finding a page and more about understanding intent, synthesising knowledge, reasoning through ambiguity, and helping users complete complex tasks.The conversation closes with deeper questions about AI world models, hallucination, test-time compute, diffusion models, recursive self-improvement, theorem proving, and whether AI systems can ever reason with the same grounded understanding as humans. For Prabhakar, the challenge is not only to build more powerful models, but to understand their limits, failure modes, and relationship to truth.This episode is a wide-ranging exploration of how search became one of the defining technologies of the internet age—and how artificial intelligence may now force us to rethink what it means to search at all.Sign up for our newsletter at techsurgepodcast.com for updates on upcoming TechSurge Live Summits and future episodes.Links:Prabhakar Raghavan - Google Research profile: https://research.google/people/prabhakarraghavan/?&type=googlePrabhakar Raghavan - Google blogs and writing: https://blog.google/authors/prabhakar-raghavan/References Mentioned During the DiscussionBrin and Page - The Anatomy of a Large-Scale Hypertextual Web Search Engine: https://research.google/pubs/the-anatomy-of-a-large-scale-hypertextual-web-search-engine/Page, Brin, Motwani and Winograd - The PageRank Citation Ranking: https://ilpubs.stanford.edu:8090/422/1/1999-66.pdfJon Kleinberg - Authoritative Sources in a Hyperlinked Environment: https://www.cs.cornell.edu/info/people/kleinber/auth.pdfManning, Raghavan and Schutze - Introduction to Information Retrieval: https://nlp.stanford.edu/IR-book/ Google - Introducing the Knowledge Graph: things, not strings: https://blog.google/products-and-platforms/products/search/introducing-knowledge-graph-things-not/Google Help - How Google's Knowledge Graph works: https://support.google.com/knowledgepanel/answer/9787176Further ReadingKrizhevsky, Sutskever and Hinton - ImageNet Classification with Deep Convolutional Neural Networks: https://proceedings.neurips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.htmlVaswani et al. - Attention Is All You Need: https://papers.neurips.cc/paper/7181-attention-is-all-you-needDevlin et al. - BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding: https://aclanthology.org/N19-1423/Chen et al. - Gmail Smart Compose: Real-Time Assisted Writing: https://arxiv.org/abs/1906.00080Kannan et al. - Smart Reply: Automated Response Suggestion for Email: https://arxiv.org/abs/1606.04870Hoffmann et al. - Training Compute-Optimal Large Language Models: https://arxiv.org/abs/2203.15556 Tay et al. - Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers:

Segment 1: Craig Bolanos, Founder and Wealth Advisor at VestGen Wealth Partners, joins John Williams about the SpaceX IPO, why people are excited about this IPO, and if you should consider buying some of SpaceX right now. Segment 2: Carl Prouty, “The Technologist” at Abt Electronics in Glenview, tells John about some of the best gifts for Father’s Day.

Summer gadgets are moving outdoors - from misting fans to backyard movie screens. Tech is bringing more comfort, sound, and entertainment to the patio. Carl Prouty, The Technologist at Abt Electronics here in Chicago, joins Rob Hart on the WBBM Noon Business Hour to explain what's hot for outdoor living this season.

Segment 1: Craig Bolanos, Founder and Wealth Advisor at VestGen Wealth Partners gives gas price updates and analyzes how the stock market has responded to uncertainty over the Iran war. Segment 2: Carl Prouty, ‘The Technologist,' at Abt Electronics in Glenview talks about the best deals on grills and graduation gifts.

Radiologic Technologist Career Options Nobody Told You AboutLet me ask you something. When you got into imaging, how many doors did somebody show you?If your answer is three — management, travel, or keep scanning — you were working from the same incomplete menu most of us were handed. And that menu has been passed down from director to tech to student for decades.This episode is about what's been sitting in the back of the kitchen the whole time.In this episode:Why the career options most radiologic technologists know are not a reflection of what actually exists — they're a reflection of what the person giving advice was shownWhy hospitals were never designed to be your career development center — and what that means for how you plan your next moveThe full expanded menu: application specialists, clinical education roles, PACS administration, imaging informatics, healthcare sales, leadership tracks that don't require managing people, and travel and per diem strategy done rightWhy feeling stuck is not a character flaw — it's a curriculum gapHow to start investigating roles inside your own institution right now, before you make any big movesTake the free Career Pivot Assessment → here 7 questions. 3 minutes. It shows you exactly where you are and what your next move could look like.Follow A Couple of Rad Techs so you never miss an episode:

Ku's got the full mid life handbook…new hair? New hormones? Get into it! And Su has only one thing in her cart specifically for dear friend @caseyrosewilson. For anyone that wants to take a ride into the future of urine technology, park in front and get your VIP seating here.Su's single greatest link for 2026:Disposable Urine Bags with “ATC Urine Technology (™)”See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ku's got the full mid life handbook…new hair? New hormones? Get into it! And Su has only one thing in her cart specifically for dear friend @caseyrosewilson. For anyone that wants to take a ride into the future of urine technology, park in front and get your VIP seating here.Su's single greatest link for 2026:Disposable Urine Bags with “ATC Urine Technology (™)”See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of C-Sweet Talks, Kruti Kapadia, Leadership Coach for Technologists and Founder of Kapadia Coaching, joins C-Sweet Co-CEOs Dianne Gubin and Beth Hilbing to break down the critical gap between technical excellence and strategic leadership. From translating complex ideas into business impact to influencing across functions and leading with executive presence, Kruti shares what it truly takes to operate at the next level. For leaders navigating AI transformation, cross-functional alignment, and high-stakes decision-making, this conversation reveals why communication—not capability—is the ultimate differentiator. Join the community!www.CSweet.org

JD Dillon is a Speaker, Technologist, and Author of The Frontline Enablement Playbook, a new book focused on helping organizations better support frontline and deskless workers. In this conversation, JD shares why frontline managers are some of the most important and overlooked people in the workplace. He unpacks the challenges they face every day, from constant unpredictability to limited support, and explains why traditional leadership development often misses the mark. Finally, JD also explores what organizations can do differently to better enable frontline teams, build stronger workplace communities, and create environments where people can thrive. LinksJD's LinkedIn: https://www.linkedin.com/in/jddillon/JD's Book: https://jddillon.com/frontlinebook/

Segment 1: Steven Esposito, President of Yellowstone Wealth Management in Lake Forest, joins John to talk about the ‘green on screen,’ why the stock market continues to break records, the better than expected job report, and what he’s telling investors about this rally. Segment 2: Carl Prouty, “The Technologist” at Abt Electronics in Glenview, tells John about some great items […]

This is a fireside chat hosted by Rajeev Srinivasan of the IIT Madras Alumni Association, featuring Dr. Suraj Rengarajan, MD and Principal Technologist, Applied Materials India. The discussion centers on the current renaissance of India's semiconductor industry, highlighting how favorable government policies and shifting global geopolitics have created a unique window for domestic manufacturing. They discuss how supportive government policies, shifts in global geopolitics, and a massive domestic consumer market are creating a unique opportunity for India to establish a manufacturing ecosystem. The dialogue emphasizes the necessity of developing specialized talent and hands-on training to move beyond semiconductor design into actual fabrication. Dr. Rengarajan highlights the potential of AI-driven manufacturing and predictive analytics to improve production efficiency and material discovery. He also explains the critical need to build a supporting ecosystem of suppliers, specialized power, and ultrapure water around newly announced fabrication plants. He emphasizes that while India possesses significant design talent, the country must now focus on hands-on technical training and leveraging AI for manufacturing efficiency. The conversation also addresses the challenges of competing with established global players and the importance of niche applications in the domestic market. Ultimately, the source portrays a hopeful yet realistic outlook on India's journey toward becoming a global electronics manufacturing hub over the next decade.Here's a brief profile of Dr. Suraj Rengarajan:Dr. Suraj Rengarajan is the Managing Director and Principal Technologist at Applied Materials India, Bangalore. In this role he drives strategic engagement between Applied Materials India and external technology ecosystems, including universities, research institutions, the start-up eco-system and industry forums. He serves as a key spokesperson for Applied Materials in technology-related events and manage programs that foster innovation, collaboration, and talent development.Suraj started his career at Applied Materials, Santa Clara in 1997, where he held different roles ranging from process engineering, technology, program management, and product marketing for thin film deposition and metallization for interconnects silicides and novel memories.He moved to India in 2007 to head the SunFab group for Applied Materials in India. Later he headed the engineering group for dielectric deposition. As the India CTO, he worked on materials engineering driven inflections to develop and commercialize new technologies. As Semiconductor Products Group India head he drove SPG strategic objectives in India, planning and growing a customer focused organization, building local leadership talent, enabling collaboration across India & Asia region, and strengthening university and ecosystem partnerships.Suraj holds a B. Tech from IIT Madras in Metallurgical Engineering and earned his M.S and Ph.D. from the University of Texas at Austin in Materials Science. Suraj holds over 15 US patents and has more than 20 publications.The following are courtesy Google notebook LM. Audio podcast (a good summary of the conversation with some AI masala): This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit rajeevsrinivasan.substack.com/subscribe

Xena Ni, Co-Founder of the Trestle Collaborative joins Deepak Puri, Founder of The Democracy Labs, to discuss the world of civic technologists and the need to help progressive organizations and campaigns to use technology safely and effectively. She contrasts the resources and mandates of commercial tech with those of the political and non-profit sectors. The mission of Trestle is to provide resources and support to leverage technology, build a strong campaign infrastructure, and protect against cyberattacks. Deepak and Xena talk about Motivation for entering civic tech from Silicon Valley success Using free and low-cost digital technology as an amplifier Overcoming the severe underfunding of technology by campaigns and advocacy groups Security and campaign tech #TrestleCollaborative #TheDemLabs #CivicTech #CampaignTechnology #VoterEngagement #GrassrootsActivism #ProgressiveActivism #CivicEngagement #GOTV #GetOutTheVote #PoliticalActivism #DemocracyInAction #VoterOutreach #DemocracyMatters #ElectionSecurity #ElectionIntegrity #ProgressivePolitics #CampaignManagement Trestle.us TheDemocracyLabs.org

Welcome to the very first video episode of Rx for Success! After nine years as an audio-only podcast, host Dr. Randy Cook is thrilled to launch the videocast format with two extraordinary guests: Shayan Mashatian, a serial entrepreneur and technologist, and Dr. Desmond Bell, a podiatrist, limb preservation advocate, and president of WoundScribe AI. Together, they share the fascinating origin story of WoundScribe AI and its patient-facing companion app, Pingoo. Shayan takes us on his remarkable journey from Iran—where he helped establish the first internet node in the country—to Canada, the U.S., and eventually into the world of health tech. Dr. Bell explains how this AI-powered platform is revolutionizing wound care by combining ambient listening, automated wound measurement, clinical decision support, and micro-learning for patients. The result? A tool that saves clinicians hours of documentation time, empowers patients through education, and creates a learning health system that gets smarter with every use. Key Topics Discussed: Shayan's journey from Iran to the West: launching the first internet node in Iran, the decision to emigrate, and adapting to new cultures. What it means to be a "technologist with a passion for social innovation"—and why technology is just a tool for change. The inspiration behind Pingoo: Duolingo-style micro-learning applied to health education, gamification, and daily engagement. The shocking statistic: every 20 seconds, someone loses a leg to diabetic foot ulcers—and 85% are preventable with education. How WoundScribe evolved from Pingoo to a comprehensive AI platform for clinicians. The three core problems WoundScribe solves: documentation burden, wound measurement inconsistency, and clinical decision support. Why predicting treatment response (like hyperbaric oxygen therapy) is the "juice" of clinical decision support. How generative AI and continuous learning create a system that improves with every patient interaction. The "dirty secret" of wound care: no formal training pathway exists—most clinicians learn on the job. Shayan's three prescriptions for success: volunteer work, adaptability, and resilience. Guest Information: Shayan Mashatian, Technologist, Serial Entrepreneur, Founder of WoundScribe AI & Pingoo Email: shayan@woundscribe.ai Website: woundscribe.ai Pingoo: pingoo.ai Dr. Desmond Bell, DPM, President of WoundScribe AI, Founder of Save a Leg, Save a Life Website: thesalsal.org Dr. Randy Cook, Host, Rx for Success – MD Coaches Relevant Links: MD Coaches: mymdcoaches.com WoundScribe AI: woundscribe.ai Save a Leg, Save a Life: thesalsal.org Companion podcast: Life-Changing Moments with Dr. Dael Waxman -+=-+=-+=-+= Join the Conversation! We want to hear from you! Do you have additional thoughts about today's topic? Do you have your own Prescription for Success? Record a message on Speakpipe   Unlock Bonus content and get the shows early on our Patreon Follow us or Subscribe: Apple Podcasts | Google Podcasts | Stitcher | Amazon  | Spotify --- There's more at https://mymdcoaches.com/podcast Music by Ryan Jones. Find Ryan on Instagram at _ryjones_, Contact Ryan at ryjonesofficial@gmail.com Production assistance by Clawson Solutions Group, find them on the web at csolgroup.com  

In this episode, Joel Selanikio, MD, Physician, former CDC Epidemiologist, TED/Keynote Speaker, Technologist, Entrepreneur, explores how consumer technology, AI, and new care models are reshaping demand for healthcare and why the industry must better understand these shifts to prepare for the future.

If you're trying to implement AI in your business, the best advice might sound counterintuitive: start small, think big AI. Most companies rush into AI expecting transformation, but without the right foundation, they end up accelerating broken processes instead of improving them. Why AI Fails Without a Foundation There's a growing pressure on organizations to adopt AI quickly—but most aren't ready. Most mid-market companies: Don't have documented processes Store data in scattered systems Lack of clarity in workflows Trying to implement a start small, think big AI strategy without fixing these issues leads to failure. AI doesn't create clarity. It amplifies whatever already exists—good or bad. How Start Small Think Big AI Actually Works The phrase start small, think big AI isn't just a mindset—it's a strategy. Instead of trying to automate everything: Start with one process Improve it incrementally Learn what works Expand from there This avoids the common mistake of trying to "AI everything" at once. AI Depends on Your Domain Expertise One of the most overlooked truths: You are already the AI expert in your domain. Whether you're in: Logistics Construction Operations Your knowledge provides the context AI needs. A start small, think big AI approach works because it leverages what you already know instead of replacing it. The value isn't in the AI tool—it's in the context you provide. Why Start Small Think Big AI Requires a Mindset Shift Traditional IT thinking: Hire experts Deliver solutions Move on AI changes this completely. With a start small think big AI mindset: Business users provide insight Technologists guide implementation Solutions evolve iteratively This is a shift from solution-first to problem-first thinking. Empathy: The Hidden Skill Behind Start Small Think Big AI The most important skill in AI adoption isn't coding—it's understanding. To succeed, you must: Identify real pain points Listen to users Understand workflows This is why modern technologists are becoming business analysts. If you don't understand the problem, AI won't give you the right answer. Start Small Think Big AI in the "AOL Era" of Technology We're still early. As described in the episode: "We're in the AOL days of AI." That means: Tools are immature Standards are evolving Opportunities are massive A good AI strategy positions you to grow as the technology matures. Conclusion The companies that win with AI won't be the ones who move fastest—they'll be the ones who build correctly. By following a start small, think big AI approach, you: Reduce risk Build momentum Create scalable systems Takeaway: Don't try to transform everything with AI. Start small, think big, and build forward. Stay Connected: Join the Developreneur Community

Peter Duke is a Creative Director, Technologist, and Photographer with a diverse background in technology, games, communications, and marketing. His clients include 20th Century Fox, Virgin Entertainment, Sega GameWorks, Universal Studios, SHOAH Foundation Institute, The United States Army, The National Security Agency, Microsoft, Lions Gate, Capitol EMI, IMAX, Vanity Fair, and Glamour magazines.In 2010, Peter met Andrew Breitbart and co-founded the outlet GotNews and the news-based crowdfunding sites WeSearchr and FreeStartr. All three enterprises were defunded and de-platformed for wrongthink. In 2017, he was featured in an attempted hit piece in the New York Times, where he was labeled "The Annie Leibovitz of the Alt-Right." While immersed in open-source journalism, he discovered a world of unreported stories, which led to a dizzying, eye-opening reframing of reality. Today, he continues to use his abilities to move the truth forward against the titanic forces of the Power Elite and their henchmen.His current focus is on examining revisionist history and finding ways to communicate with people hypnotized by media.PETER DUKE:Substack: https://thedukereport.substack.comBooks: https://DukeReportBooks.comX: https://x.com/thedukereportYouTube: https://www.youtube.com/@TheDukeReportRumble: https://rumble.com/user/TheDukeReportemail: contact@thedukereport.comTHE RIPPLE EFFECT PODCAST:WEBSITE: http://TheRippleEffectPodcast.comWebsite Host & Video Distributor: https://ContentSafe.co/SUPPORT:PATREON: https://www.patreon.com/TheRippleEffectPodcastPayPal: https://www.PayPal.com/paypalme/RvTheory6VENMO: https://venmo.com/code?user_id=3625073915201071418&created=1663262894MERCH: Store: http://www.TheRippleEffectPodcastMerch.comTHEORY 6 MUSIC: https://open.spotify.com/artist/1w91xRlB4b2MJYyXXhJcyFSPONSORS:OPUS A.I. Clip Creator: https://www.opus.pro/?via=RickyVarandasScott Horton Academy: https://scotthortonacademy.com/rippleeffectUniversity of Reason-Autonomy: https://www.universityofreason.com/a/2147825829/ouiRXFoLWATCH:OFFICIAL YOUTUBE: https://www.youtube.com/@TheRippleEffectPodcastOFFICIALYOUTUBE CLIPS CHANNEL: https://www.youtube.com/@RickyVarandasLISTEN:SPOTIFY: https://open.spotify.com/show/4lpFhHI6CqdZKW0QDyOicJiTUNES: http://apple.co/1xjWmlFTHE UNION OF THE UNWANTED: https://linktr.ee/TheUnionOfTheUnwanted

Peter Duke is a Creative Director, Technologist, and Photographer with a diverse background in technology, games, communications, and marketing. His clients include 20th Century Fox, Virgin Entertainment, Sega GameWorks, Universal Studios, SHOAH Foundation Institute, The United States Army, The National Security Agency, Microsoft, Lions Gate, Capitol EMI, IMAX, Vanity Fair, and Glamour magazines.In 2010, Peter met Andrew Breitbart and co-founded the outlet GotNews and the news-based crowdfunding sites WeSearchr and FreeStartr. All three enterprises were defunded and de-platformed for wrongthink. In 2017, he was featured in an attempted hit piece in the New York Times, where he was labeled "The Annie Leibovitz of the Alt-Right." While immersed in open-source journalism, he discovered a world of unreported stories, which led to a dizzying, eye-opening reframing of reality. Today, he continues to use his abilities to move the truth forward against the titanic forces of the Power Elite and their henchmen.His current focus is on examining revisionist history and finding ways to communicate with people hypnotized by media.PETER DUKE:Substack: https://thedukereport.substack.comBooks: https://DukeReportBooks.comX: https://x.com/thedukereportYouTube: https://www.youtube.com/@TheDukeReportRumble: https://rumble.com/user/TheDukeReportemail: contact@thedukereport.comTHE RIPPLE EFFECT PODCAST:WEBSITE: http://TheRippleEffectPodcast.comWebsite Host & Video Distributor: https://ContentSafe.co/SUPPORT:PATREON: https://www.patreon.com/TheRippleEffectPodcastPayPal: https://www.PayPal.com/paypalme/RvTheory6VENMO: https://venmo.com/code?user_id=3625073915201071418&created=1663262894MERCH: Store: http://www.TheRippleEffectPodcastMerch.comTHEORY 6 MUSIC: https://open.spotify.com/artist/1w91xRlB4b2MJYyXXhJcyFSPONSORS:OPUS A.I. Clip Creator: https://www.opus.pro/?via=RickyVarandasScott Horton Academy: https://scotthortonacademy.com/rippleeffectUniversity of Reason-Autonomy: https://www.universityofreason.com/a/2147825829/ouiRXFoLWATCH:OFFICIAL YOUTUBE: https://www.youtube.com/@TheRippleEffectPodcastOFFICIALYOUTUBE CLIPS CHANNEL: https://www.youtube.com/@RickyVarandasLISTEN:SPOTIFY: https://open.spotify.com/show/4lpFhHI6CqdZKW0QDyOicJiTUNES: http://apple.co/1xjWmlFTHE UNION OF THE UNWANTED: https://linktr.ee/TheUnionOfTheUnwanted

Segment 1: Faron Daugs, CFP, Founder and CEO, Harrison Wallace Financial Group, joins John to talk about the war in Iran and how it’s impacting the economy and stock market, what the Fed will do with interest rates, and what he’s telling his clients right now. Segment 2: Carl Prouty, “The Technologist” at Abt Electronics in Glenview, talks to […]

AI in Radiology: Are Radiologic Technologists Being Replaced or Redefined?If you've ever felt your stomach drop when someone mentions AI in your department, this episode is for you.Chaun sits down with Jordan Hermiller, MHA, RT(R)(QM), CPHQ — a radiologic technologist and Technical Manager at Agfa Radiology Solutions — to cut through the noise around AI in radiography. Jordan has been a working rad tech, a radiology manager, a university instructor, and a published researcher. Now he works at the intersection of clinical practice and real-world AI implementation. He gets both sides.In this episode:• Why AI feels so dominant in radiology right now — and what's actually driving it• The difference between real AI and rebranded automation — and how to tell them apart• What “autonomous x-ray” actually means in a real clinical environment• How workforce shortages and AI intersect — and what that means for your job• New roles opening up for radiologic technologists as AI becomes standard• When to trust an AI recommendation — and when to push backThis episode is brought to you in paid partnership with Agfa Radiology Solutions.Connect with Jordan Hermiller: LinkedIn Learn more about Agfa Radiology Solutions: Website LinkAI (CE) Webinar: https://agfaradiologysolutions.com/campaigns/https-agfaradiologysolutions-com-ai_impact_in_radiography/RadX Case Competition: https://agfaradiologysolutions.com/campaigns/radx-radiology-administration-challenge/Agfa Website: https://agfaradiologysolutions.com/Links referenced in this episode:ahra.orgasrt.orgclevelandclinic.orgThis episode was created in paid partnership with Agfa Radiology Solutions. All opinions expressed by Chaundria Singleton are her own.Keywords: AI in radiology, radiologic technologists and AI, autonomous X-ray technology, AI job impact in radiology, future of radiology jobs, AI implementation in imaging, radiology workforce shortage, AI and patient care, technology in radiology, Agfa Radiology Solutions, AI education for technologists, radiology imaging advancements, deep learning in healthcare, AI misconceptions in radiology, quality assurance in radiography, challenges of AI in radiology, AI and patient outcomes, continuing education for radiology techs, radiology automation, AI training data and accuracy.

​​After a short break, Peak Human returns with a powerful conversation about one of the biggest problems in modern healthcare: the sick care system. For decades, the system has been structured around treating illness rather than maintaining health. Incentives are misaligned across the entire industry—from insurance companies and employers to doctors and digital health startups. Despite technological advances, healthcare costs continue rising while population health declines. In this episode, Anil, a scientist, investor, and systems thinker, introduces a bold alternative: the Lifespan Model. Drawing on experience in biotechnology, Silicon Valley startups, digital health investing, and incentive design, Anil explains how healthcare could be rebuilt around the simple idea that people should be rewarded for keeping others healthy. Instead of replacing the current system overnight, the Lifespan Model proposes a parallel structure—one that aligns financial incentives with longevity, prevention, and long-term wellbeing. If implemented, this model could transform healthcare from a trillion-dollar illness industry into a system that actually rewards health.   SHOW NOTES: 00:00 – Peak Human Returns & Show Updates 04:30 – Anil's Background in Science and Startups 08:30 – Systems Thinking and Incentive Design 10:30 – Why the Healthcare System Is Broken 14:30 – The Incentive Problem in Medicine 17:00 – Employer-Based Health Insurance Issues 19:00 – Why Digital Health Hasn't Fixed Healthcare 21:00 – The Technologist's Journey Through Healthcare 23:30 – How Incentives Shape Entire Systems 26:00 – Introducing the Lifespan Model 29:30 – Learning From the Life Insurance Industry 33:00 – Aligning Financial Incentives With Health 36:30 – The Role of Lifespan Agents 40:00 – Technology's Role in Preventive Health 43:00 – Building a Parallel Health System 47:00 – Challenges to Implementing the Model 51:00 – The Future of Healthcare Incentives   BEEF TALLOW PRODUCTS: NosetoTail.org Preorder the film here: http://indiegogo.com/projects/food-lies-post    Film site: http://FoodLies.org YouTube: https://www.youtube.com/c/FoodLies   Follow along: http://twitter.com/FoodLiesOrg http://instagram.com/food.lies http://facebook.com/FoodLiesOrg

Technologist and Online Community builder Mark Lefebvre ( @NavigatingPatterns ) discusses his work, online and offhttps://www.youtube.com/@NavigatingPatterns https://shop.markofwisdom.org/products/navigating-wisdom-communityhttps://x.com/MarkALefebvre1Support this channel:https://www.paypal.me/benjaminboycehttps://cash.app/$benjaminaboycehttps://www.buymeacoffee.com/benjaminaboyce

Episode: 00308 Released on March 2, 2026 Description:  Artificial intelligence is rapidly changing how crime analysts work, but many analysts are still unsure where it truly fits in their role. In this episode, Christopher Cruz returns to Analyst Talk with Jason Elder to discuss AI's real impact on law enforcement analysis, the concept of the analyst as a technologist, and why AI should be viewed as a tool for efficiency rather than replacement. The conversation explores data cleaning automation, report generation, custom large language models, trust and verification, and how agencies are cautiously piloting AI solutions. Chris also shares insights on staffing gaps, vendor-driven AI deployments, and why analysts who learn to leverage AI will free up time for deeper analytical work instead of clerical tasks.

Send a textWant to see your PDFs think like a database and your chatbots answer with context, not guesses? We sit down with technologist and entrepreneur Max Riggsbee Jr., co-founder of Gadget Software, to unpack how compute-ready documents—what he calls semantic twins—turn unstructured content into structured, queryable knowledge that both humans and machines can trust. Max explains why simply chunking PDFs into a chatbot loses meaning, and how deep descriptors, QA pairs, and entity maps let you navigate ideas, not just pages.We go inside directed AI, where you choose the exact slices of content a model can touch, then generate summaries, outlines, or tables grounded in that selection. Max shares results from work with Signal65, Dell, and Broadcom showing fewer hallucinations, faster token throughput, and better energy use when AI is fed structured, contextual data. From there, we get practical about agentic workflows: the validator checks you need before any output ships downstream, and why human-in-the-loop review still matters. Max's “Georgia” test—person, state, country, or font—reveals how ambiguity explodes without metadata. He also breaks down a real failure in a political cartoon pipeline where an agent inferred a story from SEO slugs instead of reading the article, and how guardrails caught it.Our conversation widens to legacy and Black history. Grant traces family records from enslavement to land ownership, underscoring how caricatures like Jim Crow distort truth when they calcify into the story we're told. Maxwell introduces Then Is Now, the audio diary project he runs with his 90-year-old father, using authentic voice recordings and AI to frame the surrounding historical context. We talk about scanning non-digital originals like the Pentagon Papers as a stepping stone to microfiche, county archives, and the overlooked documents that can restore names, places, and property to the record. On the technical edge, Max shows how rich textual descriptions can stand in for heavy images, enabling vision models to re-render diagrams on demand, making insights lighter and more scalable.If you work with unstructured data, lead AI projects, or care about preserving the story with accuracy, this conversation gives you a roadmap: structure your sources, validate your agents, and keep humans in charge of meaning. Subscribe, share this episode with a friend who needs better answers from their data, and leave a review to help others find the show.Thanks for tuning in to this episode of Follow The Brand! We hope you enjoyed learning about the latest trends and strategies in Personal Branding, Business and Career Development, Financial Empowerment, Technology Innovation, and Executive Presence. To keep up with the latest insights and updates, visit 5starbdm.com. And don't miss Grant McGaugh's new book, First Light — a powerful guide to igniting your purpose and building a BRAVE brand that stands out in a changing world. - https://5starbdm.com/brave-masterclass/ See you next time on Follow The Brand!

Carl Prouty, “The Technologist” at Abt Electronics in Glenview, tells John what we should know about door security camera technology in light of the recently released security images of the “person of interest” in the Nancy Guthrie case. How do these security systems work? Where do the images live once they are recorded? How are people notified […]

Carl Prouty, “The Technologist” at Abt Electronics in Glenview, tells John what we should know about door security camera technology in light of the recently released security images of the “person of interest” in the Nancy Guthrie case. How do these security systems work? Where do the images live once they are recorded? How are people notified […]

An erratic President, a bungled raid on American cities, two fatal shootings by ICE agents, a massive protest by thousands of citizens in Minneapolis and other US cities, and flood of dishonest and misleading statements by Presidential aides and cabinet members: the United States begins 2026 in utter turmoil. Technologist and author Ramez Naam joins the Futurists to share his perspective on the political unrest in American civil society and the collapse of governance norms. Are populist forces fighting against a future defined by accelerating change? Is this a desperate attempt to restore society to a mythical past that never existed? Or is something more sinister afoot? What are the long term effects, domestically and internationally? The discussion includes a range of views on American chaos and some lively debate about the long term implications. 

Capital One operates less like a traditional bank and more like a "technology company that happens to do banking." Ameesh Paleja, EVP of Enterprise Platforms, joins the show to explain how this philosophy empowers their 14,000 technologists to innovate at the speed of a startup despite operating in a highly regulated industry.Watch: 2026 Benchmarks InsightsFollow 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 guest(s):Learn more: capitalone.com/techRead the blog: capitalone.com/tech/blog/Connect with Ameesh: LinkedIn | X (Twitter)OFFERS Start 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 LINEARB AI 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.

What if the same mindset that builds nine-figure businesses could also create a happier, healthier life?   In this episode of Sharkpreneur, Seth Greene interviews Pete Sacco, Entrepreneur, Technologist, Modern Day Mystic, is the author of Living in Bliss: Achieve a Balanced Existence of Body, Mind, and Spirit, who shares how his own low point—facing poor health and personal unhappiness despite career success—sparked a complete transformation that reshaped both his life and his company. He reveals the framework behind his “Commit, Learn, and Do” philosophy and how understanding superpowers, core values, and balance can turn ambition into fulfillment.   Key Takeaways: → How each stage of expansion requires new structures, mentors, and sometimes new team members. → Why it's vital for entrepreneurs to evolve from being business operators into strategic thinkers and investors → How professional success without personal fulfillment is a form of failure. → Why it's crucial to practice gratitude, reframe expectations, and find daily moments of wonder. → How clarity, collaboration, and alignment are more important than control.   Pete Sacco is a visionary entrepreneur, technologist, and modern-day mystic who blends conscious leadership with breakthrough innovation. As the founder of multiple ventures—including PTS Data Center Solutions, INTUVA, GRID7, InstaGuardIP, and Gray Wolf Data Centers—Pete has led transformative initiatives across AI, energy, blockchain, and digital infrastructure. His journey from electrical engineer to spiritual author and advisor reflects a rare fusion of high performance and inner awakening. Pete is the author of Living in Bliss: Achieve a Balanced Existence of Body, Mind, and Spirit, a guide for high achievers seeking fulfillment beyond success. A finalist for Ernst & Young's Entrepreneur of the Year, Pete holds a B.S. in Electrical Engineering from Fairleigh Dickinson University. He serves on the advisory board of its School of Computer Sciences and Engineering. Based in New Jersey, he helps purpose-driven professionals unlock clarity, vitality, and purpose—one system, one person, and one moment at a time.   Connect With Pete: Website: https://petesacco.com/ Instagram: https://www.instagram.com/petesaccoofficial TikTok: https://www.tiktok.com/@petesacco X: https://x.com/PeteSaccoCEO LinkedIn: https://www.linkedin.com/in/petertsacco/ YouTube: https://www.youtube.com/@PeteSaccoCEO   Learn more about your ad choices. Visit megaphone.fm/adchoices

What if the same mindset that builds nine-figure businesses could also create a happier, healthier life?   In this episode of Sharkpreneur, Seth Greene interviews Pete Sacco, Entrepreneur, Technologist, Modern Day Mystic, is the author of Living in Bliss: Achieve a Balanced Existence of Body, Mind, and Spirit, who shares how his own low point—facing poor health and personal unhappiness despite career success—sparked a complete transformation that reshaped both his life and his company. He reveals the framework behind his “Commit, Learn, and Do” philosophy and how understanding superpowers, core values, and balance can turn ambition into fulfillment.   Key Takeaways: → How each stage of expansion requires new structures, mentors, and sometimes new team members. → Why it's vital for entrepreneurs to evolve from being business operators into strategic thinkers and investors → How professional success without personal fulfillment is a form of failure. → Why it's crucial to practice gratitude, reframe expectations, and find daily moments of wonder. → How clarity, collaboration, and alignment are more important than control.   Pete Sacco is a visionary entrepreneur, technologist, and modern-day mystic who blends conscious leadership with breakthrough innovation. As the founder of multiple ventures—including PTS Data Center Solutions, INTUVA, GRID7, InstaGuardIP, and Gray Wolf Data Centers—Pete has led transformative initiatives across AI, energy, blockchain, and digital infrastructure. His journey from electrical engineer to spiritual author and advisor reflects a rare fusion of high performance and inner awakening. Pete is the author of Living in Bliss: Achieve a Balanced Existence of Body, Mind, and Spirit, a guide for high achievers seeking fulfillment beyond success. A finalist for Ernst & Young's Entrepreneur of the Year, Pete holds a B.S. in Electrical Engineering from Fairleigh Dickinson University. He serves on the advisory board of its School of Computer Sciences and Engineering. Based in New Jersey, he helps purpose-driven professionals unlock clarity, vitality, and purpose—one system, one person, and one moment at a time.   Connect With Pete: Website: https://petesacco.com/ Instagram: https://www.instagram.com/petesaccoofficial TikTok: https://www.tiktok.com/@petesacco X: https://x.com/PeteSaccoCEO LinkedIn: https://www.linkedin.com/in/petertsacco/ YouTube: https://www.youtube.com/@PeteSaccoCEO   Learn more about your ad choices. Visit megaphone.fm/adchoices

Erie Meyer, Senior Fellow at Georgetown Law's Institute for Technology Law & Policy and Senior Fellow at the Vanderbilt Policy Accelerator, and Laura Edelson, Assistant Professor of Computer Science at Northeastern University, who are coauthors of the recent toolkit, “Working with Technologists: Recommendations for State Enforcers and Regulators,” join Lawfare's Justin Sherman to discuss how state enforcers and regulators can hire and better work with technologists, what technologists are and are not best-suited to help with, and what roles technologists can play across the different phases of enforcer and regulator casework. They also discuss how to best attract technologists to enforcement and regulation jobs; tips for technologists seeking to better communicate with those lawyers, compliance experts, and others in government with less technology background; and how this all fits into the future of AI, technology, and state and broader regulation.To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.