Podcasts about Platform

- Christmas Eve Edition and Personal Digital Library Update (0:10) - Improvements in Search Function and AI Engine (1:09) - Upgrades and Future Features (3:53) - Citations and Contributions from Major Publishers (8:02) - Advanced Content Influence and AI Engagement (11:43) - Special Report on 2026 Predictions (23:51) - Impact of AI on the Economy and Society (57:20) - Interview with Doug Casey on Silver Market (1:08:29) - Challenges of Government Policies and Tariffs (1:16:50) - Education and Standard of Living in the US (1:20:26) - The Failure of Higher Education and the Introduction of "The Preparation" (1:27:41) - Alternative Education Paths and Practical Skills (1:30:00) - The BrighteLearn.ai Platform and Its Benefits (1:33:07) - The Role of Western Civilization and International Man.com (1:34:17) - Investment in Mining Stocks and Commodities (1:36:44) - The Decline of the US Dollar and Economic Predictions (1:42:03) - The Impact of AI and Technology on Education and Employment (1:48:21) - The Role of Nuclear Power in Addressing Energy Needs (1:54:16) - The Geopolitical Tensions Between the US and Russia (1:57:59) - Final Thoughts and Advice for the Audience (1:59:36) For more updates, visit: http://www.brighteon.com/channel/hrreport  NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

The Dems in Mass are trying to restrict gun rights in the state. Toby talks about this and more.  Visit the Howie Carr Radio Network website to access columns, podcasts, and other exclusive content.

TODAY'S TREASURE In the sixth month the angel Gabriel was sent from God to a city of Galilee named Nazareth, to a virgin betrothed to a man whose name was Joseph, of the house of David. And the virgin's name was Mary. And he came to her and said, “Greetings, O favored one, the Lord is with you!” But she was greatly troubled at the saying, and tried to discern what sort of greeting this might be. And the angel said to her, “Do not be afraid, Mary, for you have found favor with God. And behold, you will conceive in your womb and bear a son, and you shall call his name Jesus. He will be great and will be called the Son of the Most High. And the Lord God will give to him the throne of his father David, and he will reign over the house of Jacob forever, and of his kingdom there will be no end.” And Mary said to the angel, “How will this be, since I am a virgin?” And the angel answered her, “The Holy Spirit will come upon you, and the power of the Most High will overshadow you; therefore the child to be born will be called holy—the Son of God. And behold, your relative Elizabeth in her old age has also conceived a son, and this is the sixth month with her who was called barren. For nothing will be impossible with God.”  And Mary said, “Behold, I am the servant of the Lord; let it be to me according to your word.” And the angel departed from her.Luke 1:26-38 ESVSend us a comment!Support the show

We continue our discussion on why Meta is still the most powerful ad platform and what to expect in the coming year. We break down how Facebook figured out monetization, from early Microsoft deals and disastrous missteps like Beacon to right-hand rail ads and the moment ads entered the newsfeed. We'll walk you through the desktop era, the transition to mobile, and why Meta's make-or-break moment before its IPO changed everything about how ads work today. Plus, we connect the dots to what's happening right now with the Andromeda update and the increasing need for creative diversification.In This Episode:- Why Meta's global reach matters - Meta's early advertising mistakes- Facebook's Beacon backlash explained- The right-hand rail ads era- Mobile ads turning point- Why Andromeda update changes everythingMentioned in the Episode:Previous Episode on Why Meta is The Best Ad Platform: Acquired Podcast's Episode on Meta: https://www.acquired.fm/episodes/meta Perpetual Traffic YouTube Channel: https://www.youtube.com/@perpetual_traffic?sub_confirmation=1 Facebook's Failed Beacon Project: https://www.cbc.ca/news/science/facebook-shuts-down-beacon-marketing-tool-1.832698 Ralph's Photo at Meta's Home Office: Listen to This Episode on Your Favorite Podcast Channel:Follow and listen on Apple: https://podcasts.apple.com/us/podcast/perpetual-traffic/id1022441491 Follow and listen on Spotify:https://open.spotify.com/show/59lhtIWHw1XXsRmT5HBAuK Subscribe and watch on YouTube: https://www.youtube.com/@perpetual_traffic?sub_confirmation=1We Appreciate Your Support!Visit our website: https://perpetualtraffic.com/ Follow us on X: https://x.com/perpetualtraf Connect with Ralph Burns: LinkedIn - https://www.linkedin.com/in/ralphburns Instagram - https://www.instagram.com/ralphhburns/ Hire Tier11 - https://www.tiereleven.com/apply-now Connect with Lauren Petrullo:Instagram - https://www.instagram.com/laurenepetrullo/LinkedIn - https://www.linkedin.com/in/laurenpetrullo Consult Mongoose Media -

In this episode of the She Believed She Could™ podcast, host Alison Walsh sits down for a powerful conversation on what it really takes to turn podcasting and content creation into a revenue-generating, authority-building brand asset.Together, they unpack how strategic podcasting goes far beyond a hobby—becoming a catalyst for credibility, monetization, speaking opportunities, community building, and long-term brand growth. From real client success stories to behind-the-scenes insights on content strategy, production, and monetization, this episode is a must-listen for women entrepreneurs, creators, and experts who know they're meant to take up more space.If you've ever felt overwhelmed by content creation, unsure how to monetize your voice, or isolated as a creator, this conversation will help you see what's possible when you stop gatekeeping your expertise and start leading with intention.

The Platform Mix 589 features Jerome Baker! Originally from Arizona, Jerome has been in Washington DC for the last 22 years. He's played all over from R&B & Ribs in San Francisco to New York, Boston, Austin and more. Be sure to follow Jerome Baker on his socials to see all his upcoming gigs. Subscribe to my Patreon to see full track lists from the mixes, take a look at my top tracks of the week and get a look into what I'm playing out in my sets. Now turn those speakers up and let's get into it with Jerome Baker's latest right here, on The Platform. Jerome Baker: https://www.instagram.com/jeromebaker3rd/

In this episode of The Distribution, Brandon Sedloff sits down with Casey Cummings for a deep conversation on building a real estate investment firm over multiple decades and market cycles. Casey walks through his personal path into the business, the evolution of Ram Realty Advisors, and the strategic decisions that shaped its transition from family capital to institutional platforms. The discussion spans multifamily and grocery-anchored retail, with a strong focus on operational discipline, local market knowledge, and long-term capital alignment. Together, they explore how staying focused by geography and asset type has driven both growth and resilience. They discuss: Casey's early career lessons and how hands-on operating experience shaped his leadership style The evolution of Ram Realty Advisors from family-backed projects to institutionally structured funds Why deep local market knowledge and on-the-ground decision-making create a competitive edge The differences in risk, supply, and opportunity across multifamily and grocery-anchored retail How Casey evaluates current macro uncertainty and positions the portfolio for unknown risks Links: Ram Realty Advisors - https://www.ramrealestate.com/ Casey on LinkedIn - https://www.linkedin.com/in/casey-cummings-16a618119/ Brandon on LinkedIn - https://www.linkedin.com/in/bsedloff/ Juniper Square - https://www.junipersquare.com/ Topics: (00:00:00) - Intro (00:01:43) - Casey Cummings' background and early career (00:06:24) - Building and expanding Ram Realty Advisors (00:13:19) - Strategic decisions and institutional growth (00:21:39) - Current operations and business model (00:27:59) - Dodging bullets in real estate (00:28:36) - Evolution of project quality (00:29:55) - On-the-ground insights (00:34:28) - Balancing institutional structure and creativity (00:35:12) - Organizing acquisition teams (00:37:26) - Multifamily portfolio overview (00:38:47) - Grocery-anchored retail explained (00:44:21) - Future opportunities and challenges (00:44:51) - Macro-level economic conflicts (00:48:20) - Retail and multifamily market dynamics (00:53:28) - Biggest risks and concerns (00:56:20) - Conclusion and final thoughts

Eben and Jacob speak with Zach Miller, president of Bucketsquad, the media and e-commerce company behind popular basketball YouTuber Jesser. They talk about Jesser's popularity, how it's monetized, and the ancillary businesses that Miller is planning to build on top of it Learn more about your ad choices. Visit megaphone.fm/adchoices

Send us a textIn our latest WTR Flashcast, host Tim Gerdeman and technology analyst James Kisner break down Water Tower Research's initiation of coverage on C3 AI (NYSE: AI). They explore how C3 serves as an "enterprise AI operating layer" that sits above cloud providers and foundation models, helping large organizations connect AI capabilities to their internal data and workflows. The discussion covers C3's recent financial reset and leadership transition, the growing importance of federal government customers, and how generative and agentic AI are becoming the front door into the platform. James also walks through why C3 has become a credible acquisition candidate for strategic buyers like Microsoft or IBM. 

Welcome back to Episode #197 of the PricePlow Podcast, where we take you inside Helaina’s Manhattan research and development facility for an in-depth conversation with CEO Laura Katz and Pamela Besada-Lombana (Pam), Director of Early R&D. After our initial online episode with Laura back in June, we traveled to New York to experience firsthand the groundbreaking precision fermentation work happening in the heart of Midtown Manhattan. This episode reveals the sophisticated science, collaborative culture, and clinical validation driving effera® lactoferrin from a novel ingredient to an industry-changing reality. In this conversation, Pam takes us deep into the yeast engineering process that makes effera possible, explaining how her team designs, builds, and optimizes microbial factories to produce human-equivalent lactoferrin more efficiently with each iteration. Laura shares recent clinical breakthroughs, including the landmark alloimmunization study that proved effera triggers no immune response while bovine lactoferrin does, along with emerging data on gut permeability and microbiome health. The discussion also explores Helaina’s empathy-driven culture, their data infrastructure capturing 170 million rows of metabolic information, and how they’re attracting innovative brands that value genuine science and transparency. This episode complements our earlier conversation with Helaina’s Dan DeMarino and Anthony Clark from the same New York trip. Subscribe to the PricePlow Podcast on your favorite platform and sign up for Helaina news alerts before diving in. https://blog.priceplow.com/podcast/helaina-laura-katz-pamela-lombana-197 Video: Inside Helaina’s Manhattan Lab with Laura Katz and Pam Besada-Lombana https://www.youtube.com/watch?v=4LWUrgTkF98 Detailed Show Notes: The Science and Strategy Behind effera® Lactoferrin (0:00) – Welcome to Helaina’s Manhattan Research Facility (2:00) – Pam’s Background in Yeast Engineering (3:30) – The Product Stays the Same, Production Gets Better (5:30) – Reprogramming Yeast: Fighting 5,000 Genes (8:00) – Understanding Non-Conventional Yeast Metabolism (14:30) – Scaling the Innovation: 300 Edits Every Five Weeks (18:00) – Capturing 170 Million Rows of Data (19:00) – The Design-Build-Assess-Learn Cycle (23:00) – From Small-Scale Screening to Commercial Production (28:00) – A Decade of Precision Fermentation Expertise (32:00) – Pam’s Journey to Helaina (36:40) – Recent Clinical Data and Product Launches (37:40) – Empathy as a Core Value (40:00) – The Story Behind Helaina’s Wall of Women (41:00) – The Landmark Alloimmunization Study (44:00) – The Friday Evening Result (45:00) – Taking the Risk on Comparative Clinical Research (46:00) – Lab Space Constraints and Mindful Growth (47:45) – Building the Data Science Team (50:10) – AI-Assisted Hypothesis Generation (50:50) – The Data Behind the Platform (51:50) – Explaining Lactoferrin to a Friend (53:00) – The Ethics of Bovine Colostrum (54:00) – Closing:… Read more on the PricePlow Blog

The thieves, the gates, and the different kinds of dust.

Key topics covered include:-How to match CRM platforms to firm size, growth trajectory, and long-term vision.-Why integration and automation are critical to improving operational efficiency.-The differences in analytics, reporting, and dashboards across Redtail, Wealthbox, and Salesforce.-How clean, connected data enhances client experience and firm value.-Why advisors should “run their business as if they're selling it tomorrow”.This episode offers practical insight for advisors who are evaluating a CRM for the first time, considering a platform change, or simply want to understand how better data strategy can unlock more time, clarity, and growth.Download our whitepaper here: https://jedidatabasesolutions.com/resources/  Learn more about our companies and resources:-Elite Consulting Partners | Financial Advisor Transitions: https://eliteconsultingpartners.com-Elite Marketing Concepts | Marketing Services for Financial Advisors: https://elitemarketingconcepts.com-Elite Advisor Successions | Advisor Mergers and Acquisitions: https://eliteadvisorsuccessions.com-JEDI Database Solutions | Technology Solutions for Advisors: https://jedidatabasesolutions.com  Listen to more Advisor Talk episodes: https://eliteconsultingpartners.com/podcasts/Key topics covered include:

EPISODE 651 - Mark J Wilson - Full of Beans - A dead professor. A missing student, And a time-traveling detective.Mark is a scientist who works in gene therapy and very foolishly decided he had to write a novel about a time-traveling detective in his spare time.I live in Washington, DC with my wife, Carrie, but I was born and brought up in Reading, England. My favourite place in the world is in the Cotswolds, just down the road from Oxford (where most of Full of Beans is set).I went to college in Canterbury where I studied biochemistry and got a PhD. I have worked in biopharmaceuticals for the last 35 years or so.I'm currently working in gene therapy, helping to develop a much-needed cure for Rett Syndrome.I worked in Nottingham and Cambridge before moving back to Reading (so it can't be all bad, right?). Then I came to America in 2009. It does seem like a drastic move just to get out of Reading again. I lived in North Carolina for 7 years before moving to the DC area.Growing up in Reading gave me a fascination with trains and planes, being as how there wasn't much else there to interest a kid. I loved hanging around at the west end of Platform 5, and when Concorde would fly over. And there was a Model Shop. I loved the Model Shop. And Eames' model train shop.My dad gave me lifelong passions for astronomy, physics, chess, cooking, and model-making. And I love model trains. Over the years, in my spare time, I've also been a watercolor artist and a music producer. I love electronic dance music.Full of Beans is my first published novel and it is dedicated to Carrie and her coffee machine, which would constantly instruct us to “Fill Beans,” whether the hopper was full or empty. Without either of them this book might never have been written. It took over two years to write, on the weekends and holidays, and I learned a lot about writing.I heard they are bringing back Clippy... ‘I see you're writing a novel. Do you need help with that?' I did need help, but instead I have relied on some actually talented hooman-beans for that.The book was an editor's nightmare to work on. We chose British English spellings (like ‘colour') and phrases (such as ‘bugger off') to go with most of the settings and characters. However, we also chose to go with the Chicago Manual of Style for other stuff like punctuation, rather than the Oxford Guide to Style. Sorry Oxford. Please check the CMOS before levelling criticism at the editing; it was a heroic effort. Thanks Kevin and Avery.Feel free, however, to debate the choice to liberally use the Oxford comma. And to jolly-well split some infinitives. And start sentences with conjunctions.If strict British grammar is your passion, rather than a fun read, then hard cheese. It isn't meant to be bloody Shakespeare. I'm sure there'll be a new Booker Prize nominee along any minute now.The artwork was accomplished with help from artlist.io, using its Comic Noir algorithm and many, many attempts, amalgamations, and many hours of editing images to get what I wanted. The book cover was a team effort with Joe and Michelle. https://markjwilson.com/Support the show___https://livingthenextchapter.com/podcast produced by: https://truemediasolutions.ca/Coffee Refills are always appreciated, refill Dave's cup here, and thanks!https://buymeacoffee.com/truemediaca

In this episode of Sustainable Packaging with Cory Connors, Cory sits down with Mikey Pasciuto to explore SCRAPP's evolution from a recycling app to a comprehensive zero-waste platform. Mikey shares insights on Extended Producer Responsibility (EPR), operational waste costs, and why businesses should design for efficiency rather than just policy. They dive into real-world examples, challenges in recycling infrastructure, and how SCRAPP helps brands navigate complex waste streams and regulations.Key Topics Discussed:SCRAPP's journey: from barcode-scanning recycling app to full-service waste accounting platformThe role of data in predicting and reducing waste generationExtended Producer Responsibility (EPR): what it means for brands and why it mattersOperational costs of waste management and strategies to reduce themReal-world case studies: balancing packaging design, food waste reduction, and EPR feesWhy designing for operations beats designing for policyThe importance of recycled content mandates and eco-modulationChallenges in recycling markets, infrastructure funding, and material economicsStandardization of recycling rules vs. local market realitiesUniversal landfill bans and their impact on creating new recycling marketsResources Mentioned:SCRAPP Zero Waste PlatformOregon Recycling Modernization ActCarton Council recycling grantsToyota Kanban and Six Sigma principles (applied to packaging logistics)Contact:To learn more or connect with Mikey:Website: www.scrappzero.comLinkedIn: Mikey PasciutoClosing Thoughts:Mikey emphasizes that EPR fees should be viewed as part of doing business, not as a barrier to sustainability. By focusing on operational efficiency and informed packaging decisions, companies can reduce costs, minimize waste, and support a circular economy. Cory and Mikey agree: the future of packaging lies in balancing performance, recyclability, and system-wide thinking.Thank you for tuning in to Sustainable Packaging with Cory Connors!https://www.linkedin.com/in/cory-connors/I'm here to help you make your packaging more sustainable! Reach out today and I'll get back to you asap. This podcast is an independent production and the podcast production is an original work of the author. All rights of ownership and reproduction are retained—copyright 2022.

Welcome, writers and book lovers. The Bleeders is a podcast about book writing and publishing. Make sure you subscribe to the companion Substack: https://thebleeders.substack.com/welcomeToday's guest is author and entrepreneur Ali Kriegsman, joining The Bleeders to talk candidly about her path through traditional publishing, burnout, rejection—and ultimately choosing to self-publish her debut novel "The Raise" on her own terms.In this episode, Ali breaks down what it really took to launch a book without a traditional publisher: owning 100% of her rights, deciding not to invest in PR, building a highly visual TikTok-driven campaign, and treating herself as the CEO of her own book launch—and it WORKED. Ali even earned the Reese's Book Club stamp of approval!Ali opens up about the ego hit of not selling her novel on submission, the mindset shift required to embrace self-publishing, and how redefining success helped her rebuild confidence in her creative work. We also dig into the realities of book marketing, the trade-offs between traditional and self-publishing, genre confusion, rights ownership, audiobook decisions, and why writers have to decide what they're optimizing for—whether that's bestseller lists, longevity, or adaptation potential.Subscribe to Ali's Substack New Motives, follow her on Instagram @alikriegs, and buy your copy of The Raise on Bookshop.org, Amazon, or wherever books are sold!The Bleeders is hosted by Courtney Kocak. Follow her on Instagram @courtneykocak and Bluesky @courtneykocak.bsky.social. For more, check out her website courtneykocak.com.Courtney is teaching some upcoming workshops you might be interested in:How to Make 2026 Your Best Writing Year Yet: Manifest Your Writing Goals: https://writingworkshops.com/products/how-to-make-2026-your-best-writing-year-yet-manifest-your-writing-goals-zoom-seminar-with-courtney-kocakNew Year's Newsletter & Pitch Party Extravaganza (use code BLEEDERS for $100 off): https://www.courtneykocak.com/store/new-years-newsletter-pitch-party-extravaganza-2026How to Build a “Platform” for Writers Who Shudder at the Thought: https://writingworkshops.com/products/how-to-build-a-platform-for-writers-who-shudder-at-the-thought-zoom-seminarStart a Newsletter to Supercharge Your Platform, Network and Business: https://writingworkshops.com/products/start-a-newsletter-to-supercharge-your-platform-network-business-zoom-seminarLand Big Bylines by Writing for Columns: https://writingworkshops.com/products/land-big-bylines-by-writing-for-columns-zoom-seminarSo You Want to Start a Podcast?: https://writingworkshops.com/products/start-podcast-workshop-courtney-kocakEdit & Elevate: Revision Intensive: https://writingworkshops.com/products/edit-elevate-revision-intensive-zoom-seminar-with-courtney-kocak

This platform approves loans in hours, not days  and is used by 3.53 crore+ people. In this episode, we sit down with Bhavin (Co-founder & CEO) and Dipesh (Co-founder & CTO) to unpack how one of India's most impactful fintech platforms was really built. One of the founders is Nepali, who coded the first version himself  and today the platform has enabled ₹17,000+ crore in loans and operates at a speed traditional banks struggle to match. What You'll Learn in This Episode:   -How the first product was built without a tech team   -Why coding is not the hardest part but vision is   -How lending moved from days to hours   -Why banks struggle with small-ticket loans   -How AI is used as a daily habit, not a buzzword   -Why trust in fintech takes 15+ years, not quick growth hacks   -What young founders should build next in fintech   -Why entrepreneurs must invest back into the ecosystem This episode is for founders, builders, operators, and anyone curious about how large-scale platforms are built, scaled, and sustained in the real world.   Timestamps     00:02:36 From Football to Founders 00:04:19 The P2P Idea Begins 00:07:46 Coding Without a Tech Team 00:10:28 Credit Banks Ignore 00:13:19 Trust Takes Time 00:15:27 The UPI Effect 00:16:59 Building First Credit 00:20:51 Why We Don't Pivot 00:24:57 Facing Regulatory Storms 00:28:39 Vision Over Coding 00:35:46 Why Banks Avoid Small Loans 00:37:39 The Secret Lending Recipe 00:44:08 AI as a Daily Habit 00:50:19 Building with 100% AI 00:54:39 Big Fintech Opportunities 01:07:53 Surviving the Long Game 01:10:16 Nepal's Startup Loop   Want to join us live in the studio as an audience member? Fill out this form: https://forms.gle/xZi8yptyoxkkc6aa8    ✉ Reach out to us at partners@doersnepal.com  

Meta's global reach and heavy AI investments give it an undeniable edge over other digital marketing platforms. In today's episode, we are exploring how Meta's ongoing innovations will reshape advertising in 2026 and what this means for your business or agency. Lauren shares her firsthand experience testifying at a House subcommittee about how Meta's AI tools are helping small businesses scale. We unpack why Meta's capabilities (like Andromeda) are game-changers for businesses that overcome AI fears and leverage Meta's creative diversification.Plus, we look at real-world examples of how AI is amplifying business growth, and how Meta's ecosystem can supercharge marketing strategies in ways other platforms simply can't match. Join the conversation now if you want to stay ahead of the curve in 2026.In This Episode:- Lauren's AI testimony at a House subcommittee- Fear of AI replacing jobs vs. AI as a growth opportunity- The rising need for human interactions - Meta's global influence on internet users- Why Meta is the best ad platform - Meta's investment in AI and its implications for 2026- Statistics on Meta's usage and revenue growthMentioned in the Episode:Global Internet Users: https://www.statista.com/statistics/273018/number-of-internet-users-worldwide/ Facebook Usage Statistics: https://www.demandsage.com/facebook-statistics/ Previous Episodes on Meta's Andromeda: https://perpetualtraffic.com/?s=andromeda Listen to This Episode on Your Favorite Podcast Channel:Follow and listen on Apple: https://podcasts.apple.com/us/podcast/perpetual-traffic/id1022441491 Follow and listen on Spotify:https://open.spotify.com/show/59lhtIWHw1XXsRmT5HBAuK Subscribe and watch on YouTube: https://www.youtube.com/@perpetual_traffic?sub_confirmation=1We Appreciate Your Support!Visit our website: https://perpetualtraffic.com/ Follow us on X: https://x.com/perpetualtraf Connect with Ralph Burns: LinkedIn - https://www.linkedin.com/in/ralphburns Instagram - https://www.instagram.com/ralphhburns/ Hire Tier11 - https://www.tiereleven.com/apply-now Connect with Lauren Petrullo:Instagram -

Send us a textLucas Marin joins David Capablanca on The Friendly Bear Podcast to talk about BlackArrow, the latest trading tool. Lucas goes over how he was able to have a record month while using the BlackArrow Trading platform.  Friendly Bear UniversityGet Profitable & Master Your Trading - Memberships & Courses Now AvailablePreorder David's BookPreorder David's book SageTraderSageTrader powers Wall Street & retail traders with ultra-low clearing fees & premium locates Flash ResearchUse coupon code FB15 for 15% off Premium. Find your edge with the best stock analyzer AskEdgarUse Code friendlybear for 25% off for AskEdgar, the new standard for researching SEC filingsDisclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the show

Chris Abbott of 1035 Capital Management joins the podcast this week to pitch more interesting stock ideas. We discuss: Comstock (LODE)SkyX Platform (SKYX)Mobilicom (MOB)Research Frontiers (REFR)I love chatting with Chris because I always find new investments ideas and learn something different. Chris has a unique way of looking for and at investment situations, and I know you will enjoy this conversation.

New @greenpillnet pod out today!

Send us a textAmazon sellers saw nonstop changes in 2025. From product title rules and feedback updates to the complete removal of FBA prep services. This video covers the most critical Amazon updates of the year and how they will impact your listings, ads, variations, and seller feedback. Understand what's changing before it costs you conversions or account health.You'll also learn how Amazon is crawling brand websites for compliance, what Rufus AI is actually doing behind the scenes, and how their silent variation page update could affect your sales. The video also covers Amazon's push for more discounts and ad spend, and how sellers should prepare their strategy heading into 2026.Don't let Amazon's new rules ruin your 2026 plan, get a free custom strategy call now: https://bit.ly/4jMZtxu#AmazonUpdates #AmazonSellers #FBA2025 #EcommerceTips #amazonnews -------------------------------------------------------------------------Want free resources? Dowload our Free Amazon guides here:Amazon SEO Toolkit 2026: https://bit.ly/4oC2ClTQ4 Selling Playbook: https://bit.ly/46Wqkm32025 Ecommerce Holiday Playbook: https://bit.ly/4hbygovAmazon PPC Guide 2025: https://bit.ly/4lF0OYXAmazon Crisis Kit: https://bit.ly/4maWHn0TIMESTAMPS00:00 - Amazon Updates Weekly Now00:29 - New Title Requirements in 202502:28 - Search Query API: Big Data Change04:07 - Two-Part Titles Survey from Amazon06:06 - Impact of Short vs. Long Titles08:01 - Amazon Is Crawling Brand Websites10:40 - FBA Prep Service Ends in 202613:57 - Feedback Abuse Gets Easier in 202516:49 - Amazon Rufus Tracks Order History19:31 - Rufus AI: Real SEO Impact or Hype?21:00 - Subscribe & Save Now Costs Sellers More23:00 - New Variation Pages Launched25:57 - Limiting Variations to Improve Sales27:37 - Amazon Price History Feature May Hurt You31:00 - Final Thoughts on Rufus and Pricing Strategy________________________________Follow us:LinkedIn: https://www.linkedin.com/company/28605816/Instagram: https://www.instagram.com/stevenpopemag/Pinterest: https://www.pinterest.com/myamazonguys/Twitter: https://twitter.com/myamazonguySubscribe to the My Amazon Guy podcast:My Amazon Guy podcast: https://podcast.myamazonguy.comApple Podcast: https://podcasts.apple.com/us/podcast/my-amazon-guy/id1501974229Spotify: https://open.spotify.com/show/4A5ASHGGfr6s4wWNQIqyVwSupport the show

In this episode of the Inorganic Podcast, co-host Ayelet Shipley interviews Carrie Kerpen, a pioneer in social media and co-founder of Likeable Media. They discuss Carrie's journey from starting a social media agency to successfully exiting the business. Carrie shares insights on the importance of profitability, setting exit goals, choosing the right M&A advisor, and negotiating earn-outs. She reflects on her experiences and the lessons learned, particularly for women entrepreneurs, and emphasizes the need for community and support in the business world.TakeawaysCarrie started Likeable Media in 2007, one of the first social media agencies.The initial focus was not on exiting but on building a profitable business.Setting a target exit value can help guide business decisions.Timing and personal readiness are crucial when deciding to sell a business.Choosing the right M&A advisor can significantly impact the sale process.Negotiating earn-outs requires careful consideration of control and reporting.Reflecting on the exit process can reveal areas for improvement.Building a community for women founders can provide essential support.Women entrepreneurs often face unique challenges in the exit process.M&A can be a powerful tool for business growth and problem-solving.Chapters0:00 Introducing Carrie Kerpen1:05 Founding Likeable Media 3:33 Early Growth & Cash Flow Challenges5:22 Becoming CEO and Focusing on Profitability6:37 Market Shifts & Productizing the Agency7:21 Building a Brand through All the Social Ladies9:07 Financial Stability & the $20M Exit Goal 10:43 Knowing When It's Time to Sell12:55 Choosing an M&A Advisor vs. a Banker15:36 Price vs. Timing After the Exit18:22 Negotiating & Protecting an Earnout22:02 Life After the Sale23:12 What Carrie Would Do Differently24:51 Acting Like a Platform and Rethinking Capital25:58 The Exit Gap and The Whisper Group27:45 Closing ThoughtsConnect with Christian and AyeletAyelet's LinkedIn: https://www.linkedin.com/in/ayelet-shipley-b16330149/Christian's LinkedIn: https://www.linkedin.com/in/hassold/Web: https://www.inorganicpodcast.coIn/organic on YouTube: https://www.youtube.com/@InorganicPodcast/featuredConnect with guest, Carrie Kerpenhttps://www.linkedin.com/in/carriekerpen/ Hosted on Acast. See acast.com/privacy for more information.

A Note from James:Tim Dillon is crazy—in the best way. Not “institution” crazy. Crazy smart. Years ago he told me things about Epstein, hustle culture, and how the world really works that felt outlandish then and obvious now. He's quirky, honest, and usually right about what to pay attention to. Also, he's flat-out funny. Let's bring Tim back and see how much of that old conversation still hits today.Episode Description:This redux revisits James's conversation with comedian Tim Dillon on narratives, media incentives, and why “it's all a game.” Tim argues that most public debates are programmed like a TV network—stars, storylines, and predictable reactions—while the real action is off-camera. They examine why certain stories (Epstein, “suppressed” segments, political theater) catch fire and others vanish, the line between authenticity and performance in comedy, and how creators can actually build careers without gatekeepers. It's a practical episode about staying sane—less who's right, more how to think.What You'll Learn:A “game” heuristic for news and politics: spot the incentives (access, ads, algorithms) before you react to the headline.An authenticity filter for creators: why work rooted in your own experience connects—and how to test if a bit or idea is “real enough” to spread.A simple media-diet protocol: cross-reference sources and avoid getting “programmed” into outrage cycles.Platform strategy 101 for comics and solo creators: post consistently, control distribution, and stop waiting for gatekeepers to bless you.Career anti-fragility for uncertain times: ignore hustle theater; build repeatable systems that survive algorithm and industry swings.Timestamped Chapters:[00:02] A Note from James — Why Tim's “crazy smart” observations aged well.[03:09] Ignorance vs. Happiness — “If you learn how the world works, you won't be happier—unless you make it fun.”[06:21] News Is a Bridge to the Next Ad Break — Access, scoops, and why some stories never see daylight.[08:25] History You Don't Hear About — Smedley Butler, coups, and how missing chapters change the plot.[10:28] The Epstein Loop — From wall-to-wall coverage to silence—and what “access journalism” rewards.[15:38] How to Be Informed Without Going Insane — Cross-checking and opting out.[24:03] Rage, Class, and the Party at the Top — Why “difference” wins in politics and comedy.[38:04] UBI, Automation, and Fear Narratives — What's real risk vs. campaign theater.[01:24:14] Owning Your Distribution — Algorithms, streaming “cartels,” and why your social feed is your venue.[01:30:08] From Garage to Millions of Views — The Megan McCain sketch and shipping scrappy work.[01:49:57] Authenticity Over Everything — Why “true to you” outlasts polished but hollow.Additional Resources:Tim Dillon — Official site / podcast hub: https://timdilloncomedy.com/The Tim Dillon Show (Spotify): https://open.spotify.com/show/2gRd1woKiAazAKPWPkHjdsTim on Instagram (@timjdillon): https://www.instagram.com/timjdillon/JRE #1251 — Tim Dillon (Spotify): https://open.spotify.com/episode/12jteiLJyQaD85ynvJQBk9JRE #1390 — Tim Dillon (episode info): https://ogjre.com/episode/1390-tim-dillonABC hot-mic / Epstein backstory:Axios recap — https://www.axios.com/2019/11/05/abc-news-jeffrey-epstein-amy-robach-project-veritasThe Guardian — https://www.theguardian.com/media/2019/nov/06/abc-news-leak-raises-questions-about-unaired-interview-with-epstein-accuserSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Oscars ditch traditional TV for YouTube, ChatGPT's image upgrades are significant, 5.2 launches with an entire app store, Merriam-Webster crowns “slop” as 2025's word of the year, and who are the players in the battle for your TV.Ad-Free + Bonus EpisodesShow Notes via EmailWatch on YouTube!Join the CommunityEmail Us: podcast@primarytech.fm@stephenrobles on Threads@jasonaten on Threads------------------------------Sponsors:Udacity - You can try Udacity risk-free for seven days. Head to Udacity.com/PRIMARY and use code PRIMARY for 40% off your order.MasterClass - Get up to 50% OFF an annual membership at MasterClass! Sign up today at: masterclass.com/primarytech------------------------------Links from the showShop Rock Paper Pencil — iPad Paper Screen Protector + Apple Pencil Tips - Astropad‎Capture App - App StoreiOS 26.3: New features for your iPhone - 9to5MacOscars Bolts from ABC to YouTube Starting in 2029My Favorite Murder and The Breakfast Club podcasts are ditching YouTube for Netflix | The VergeThe Walt Disney Company and OpenAI reach landmark agreementReThinking: Margaret Atwood on… - Worklife with Adam Grant - Apple PodcastsIntroducing GPT-5.2 | OpenAIOpenAI's ChatGPT Updated to Make Images Better and Faster - BloombergDevelopers can now submit apps to ChatGPT | OpenAIAI Thumbnail Comparison @stephenrobles.com on BlueskyGoogle announces Gemini 3 Flash, rolling out to Gemini appInstagram is putting Reels on your TV | The VergeMerriam-Webster's 2025 word of the year is ‘slop' | The VergeNew M5 iMac model aimed at pro users might be coming, per leak - 9to5Mac ★ Support this podcast ★

Send us a textIn this episode of WTR Small-Cap Spotlight, host Tim Gerdeman and analyst Robert Sassoon speak with Shaun Bagai, CEO of RenovoRx (NASDAQ: RNXT). The company is pioneering targeted oncology therapies and commercializing RenovoCath™, an FDA-cleared multi-specialty local drug delivery device for high unmet needs. We discuss the innovation and advantages of its TAMP™ (Trans-Arterial Micro-Perfusion) platform—powered by the proprietary dual-balloon catheter—and how it sets RenovoRx apart in treating hard-to-reach hypovascular tumors like pancreatic cancer. The conversation also covers RenovoCath's commercialization strategy and key milestones in its Phase 3 clinical trial aimed at proving the platform's delivery superiority over the current standard of care.

Jason Eubanks on Building Oracel: Raising $30M in 28 Hours to Disrupt the $236B Go-To-Market Tooling Market with AI-Native Sales AutomationJason Eubanks, CEO and Co-founder of Oracel, discusses how the company raised $30 million in just 28 hours—oversubscribed at $40 million—by solving a critical problem in the go-to-market industry. With a $236 billion market opportunity and only a "desert of innovation" since the late 1990s, Aurasell is building an AI-native platform to intelligently automate sales workflows and consolidate the 12-15 fragmented tools that plague modern sales teams. Jason shares how his experience scaling revenue from $1M to $100M+ across five startups—including Twilio (IPO), Meraki (acquired by Cisco for $1.2B), and Harness—directly informed the founding vision of AurasellEpisode Timestamps- 00:00 - Introduction and Jason Eubanks joins the podcast- 00:26 - Why Oracel raised $30M in 28 hours despite initial $40M oversubscription- 01:24 - The "desert of innovation" in go-to-market tooling since the late 90s- 01:42 - History of CRM evolution from mainframe to cloud to niche products- 03:12 - Founding vision: One intelligent GTM sales platform to replace them all- 03:39 - How pain as a CRO across five startups led to Oracel's creation- 05:58 - The X-Ray productivity assessment revealing tool sprawl inefficiencies- 07:59 - Sellers spending 28% of time selling and 70% on manual tasks- 09:03 - First principles AI-native approach with whiteboards in the kitchen- 09:29 - Five key personas: SDR, seller, IC manager, executive, ops team- 12:18 - AI-native architecture: multimodal interface, lakehouse, and 10,000 agents- 14:39 - Unified data model importance for contextualized AI automation- 15:45 - Current hat wearing: product focus and 50% building go-to-market engine- 18:43 - Platform features and customer experience design philosophy- 19:05 - Three wow moments per persona as success metric- 20:39 - Onboarding experience: automatic territory building and customer choice- 21:40 - 10,000 agents discovering ICP, personas, and competitors automatically- 24:07 - Automated account research and value hypothesis creation- 25:34 - Outbound prospecting content generation with propensity scoring- 26:32 - Outbound sequencer integration and email platform plugins- 27:00 - AI voice dialer coming in three weeks with closed-loop automation- 28:47 - What's missing: deep marketing and customer success automation- 30:49 - Ideal customer profiles: startups and enterprises with tool sprawl- 31:30 - Solution for heavily customized legacy systems coming in December- 34:24 - Dynamic change detection layer solving technical debt- 36:23 - Jason's career arc from BMC Software through Harness- 37:09 - Why: helping go-to-market operators solve problems he experienced- 39:55 - Meraki's disruptive cloud-managed network architecture- 41:51 - Three constants: great product builders, important problems, massive markets- 43:22 - Intrinsic motivation as foundation for hiring and culture- 45:31 - Hiring from first job onward to assess character and values- 51:24 - Understanding why someone wanted to work at 14 years old- 53:21 - Importance of formative years for work ethic and intelligence- 55:46 - AI adoption culture: using own product and building agents internally- 56:36 - All employees use AI daily across PMs, engineers, and operations- 59:25 - Ask AI features: analytics dashboards, data enrichment, natural language-

Join host Kristof Van Tomme with Jean Dulau and Julien Rateau from Google Cloud's Apigee team for a special live episode marking 10 years of our partnership that started with a meeting at APIdays and built up to shaping developer portals and API management worldwide.The conversation then looks forward, exploring the new era of AI and the urgent need for connectivity, governance, and managing complex agent-to-agent communications, and the renewed critical importance of outside-in innovation. Plus, hear the exciting announcement of full MCP support within Apigee, a major step for AI governance.Tune in for insights on our long-term partnership, innovation, and the future of API and AI integration.

Interview with Dorothy Creaven and Michael Cordner at AWS re:Invent Dublin-based startup Jentic was the first Irish company to complete the AWS Generative AI Accelerator, which concluded recently at AWS re:Invent in Las Vegas. The company is now focused on building enterprise awareness of its platform, supported by the launch of its AI Readiness Scorecard and its listing on AWS Marketplace. Founded in 2024 by Sean Blanchfield, Michael Cordner, and Dorothy Creaven, Jentic applies middleware and enterprise integration engineering to AI adoption, focusing on how APIs are defined, governed and safely executed by automated and agentic systems. AI adoption with API readiness platform Jentic Jentic operates at the integration layer, working with existing enterprise systems and APIs to make them clearer, more structured and more governable. This allows organisations to connect AI systems to real business infrastructure in a controlled and observable way, without replacing existing platforms or bypassing established security and compliance processes. Built on Enterprise Infrastructure Experience The company's approach is shaped by the founders' backgrounds in building large-scale infrastructure. Blanchfield previously co-founded Demonware, acquired by Activision Blizzard, and PageFair. Cordner co-founded Mindconnex, while Creaven previously led Rent the Runway's Irish operations. Speaking to Irish Tech News at AWS re:Invent, Michael Cordner, CTO of Jentic, said many enterprises are now encountering limits in how their systems were originally built. "We got away with cutting corners for 20 years when we were developing APIs for developers," said Cordner . "But now we're trying to let AI loose on those same APIs, and the standards are much more stringent. Even the most intelligent AI in the world is useless without the right information on how to actually use a system." From Jentic's perspective, the current interest in AI exposes long-standing weaknesses in enterprise integration. Automated systems can reason and decide, but they can only act through APIs. If those interfaces are poorly documented, inconsistently structured or weakly governed, behaviour becomes unpredictable. "We're a business logic and infrastructure layer for AI agents," explains Dorothy Creaven, COO of Jentic. "Software has always been built on APIs, but for AI to connect properly to enterprise systems, there has to be something that can make sense of those APIs and turn them into workflows organisations can rely on." Addressing Enterprise Control and Governance A recurring issue Jentic encounters with enterprise customers is organisational hesitation. Senior leadership often wants progress on AI strategy, while technology and security teams are concerned about control, traceability and risk. "Everyone is afraid to let AI loose in their organisation," Creaven observes. "There's a real concern about what systems might do when nobody is watching, whether actions can be traced, and how failures are handled." To address this, Jentic's platform includes a sandboxed execution environment that mirrors production APIs. This allows organisations to test AI-driven workflows, observe behaviour and understand failure modes before anything is connected to live systems. "We provide an environment that mirrors real APIs, but in a way that's safe," Creaven comments. "You can see exactly what's happening, with auditability and logging, and you can only move forward once you're confident the behaviour is correct." Launch of the AI Readiness Scorecard This approach underpins the launch of Jentic's AI Readiness Scorecard, a free, automated assessment tool introduced at AWS re:Invent. The scorecard evaluates APIs across multiple dimensions, including structure, security, documentation quality and discoverability. According to Jentic, its analysis of more than 1,500 well-known APIs highlights repeated gaps. These include missing authentication details, invalid OpenAPI specifications, i...

In this deeply emotional solo episode, I continue our December series focused on protecting kids from online predators. I walk you through two real and devastating cases that show exactly how grooming, sextortion, and long-term digital harassment happen—often without parents having any idea it's occurring. These aren't edge cases. This is the reality of the digital world our kids are growing up in.   We break down a Roblox grooming case involving an eight-year-old girl, how predators slowly build trust and move conversations to private apps, and why platform bans don't actually stop them. I also share the heartbreaking story of Amanda Todd, a seventh grader who was hunted online for years by a predator who weaponized images, social media, and bullying across schools and borders. This episode is hard to listen to—but necessary—because awareness is the first step in protecting our kids.     Timeline Summary: [0:00] Why online grooming often goes unnoticed until it's too late. [1:48] How predators now access kids directly in their bedrooms through devices. [2:46] Why this generation of parents is navigating entirely new digital dangers. [3:52] Parenting the first generation of kids growing up fully online. [4:20] Introducing a real Roblox grooming case involving an eight-year-old girl. [5:24] How predators use in-game chat and "helping" to gain trust. [6:18] The move from public game chat to private apps like WhatsApp. [6:44] Grooming tactics that feel like friendship to kids. [7:09] How exploitation and sextortion begin once trust is built. [8:07] Why platform bans don't stop predators from returning. [9:06] Key lessons parents must understand about Roblox and open chat systems. [10:06] Larry shares a personal experience with a suspicious "wrong number" text. [11:54] Why text messages and private apps are also major risk areas. [12:25] Introducing the Amanda Todd case from British Columbia. [12:52] How sextortion followed Amanda across schools and years. [13:58] Why Amanda wasn't bullied—she was hunted. [14:27] The mental health toll of long-term digital harassment. [15:18] Amanda's nine-minute YouTube video explaining her story. [15:49] Arrest, conviction, and sentencing of her predator years later. [16:41] Why one image can give predators long-term control. [17:39] How predators weaponize anonymity, time, and technology. [18:38] Why Bark has helped Larry catch issues proactively for seven years. [19:26] How parents can honor victims by protecting their own kids. [20:11] Final call to action to monitor devices and stay engaged.     Five Key Takeaways Online grooming happens slowly and quietly, often disguised as friendship and "help" inside games like Roblox.  Predators almost always move kids from public chats to private apps, where there is no moderation or logging.  One image is all a predator needs to control, extort, and emotionally destroy a child over time.  Platform bans do not protect kids, because predators can create new accounts in minutes.  Parental awareness and monitoring can change outcomes, and proactive conversations can prevent lifelong trauma.      Links & Resources Bark Monitoring for Families: https://thedadedge.com/bark Episode Show Notes & Resources: https://thedadedge.com/1415 Mentioned Link: https://www.amandatoddlegacy.org/aydin-coban.html?utm_source=chatgpt.com   Closing Remark These stories are hard—but they matter. The best way we can honor kids who've been hurt or lost is by protecting our own. Please rate, review, follow, and share this episode, and most importantly, stay involved in your kids' digital lives. From my heart to yours—let's do better.

Sponsored by Auth0 for Startups → 1-year free https://auth0.com/startups/vip Auth0 is an adaptable authentication and authorization platform that helps you secure your apps and AI agents. It delivers convenience, privacy, and security so you can focus on building a great UX. VC PROFILE: Jeremy Burton, Founder of Platform Venture Studio https://www.linkedin.com/in/jeremymburton

In the last episode of 2025, Co-hosts Mark Thompson and Steve Little present their predictions for how artificial intelligence will transform genealogy research in 2026. This special episode examines fourteen key trends shaping the future of family history AI.Mark and Steve predict that AI tools will move from enthusiast circles into mainstream genealogy practice, with AI-enhanced apps like NotebookLM becoming more important than the underlying language models that people have focused on for the past three years.They explore how handwritten text recognition will become more accurate and accessible, and that genealogy companies will cautiously integrate new AI features, first focusing on helping us with our research.Timestamps:02:33 Family History AI Goes Mainstream: From Enthusiasts to Everyday Users04:13 Apps Over Models: Why Platform Features Matter More Than LLMs06:17 Reusable Prompting Tools: GPTs, Projects, and Gems Boost Efficiency08:02 AI-Enhanced Research Gains Acceptance Among Serious Genealogists09:53 Handwritten Text Recognition Gets Better, Easier, and Cheaper12:18 Genealogy Companies Take Cautious Approach to Generative AI17:07 AI-Enhanced Browsers Become Standard, Agentic Features Raise Concerns24:25 Voice Interfaces to AI Remain Niche in 202627:36 LLM Vendors Push File and Email Integration for Stickiness31:46 Productivity Tools Embed LLMs Everywhere35:56 The AI Horse Race: Three Leaders Emerge41:15 AI Licensing Deals Change Internet Access Patterns44:34 The AI Bubble Conversation is important to society, but less so to GenealogistsResource Links:The Family History AI Show Academy https://tixoom.app/fhaishowFamily History AI Goes MainstreamWhat Can AI Do for Your Genealogical Research? – James Tanner (Nov 2025) https://www.youtube.com/watch?v=SXmVKy1pUPEFamilySearch Shares Plans for 2025 (Includes AI integration details) https://newsroom.churchofjesuschrist.org/article/familysearch-shares-plans-for-2025Reusable Prompting ToolsCustom GPTs vs. Gemini Gems: Who Wins? - Learn Prompting (Aug 2025) https://learnprompting.org/blog/custom-gpts-vs-gemini-gemsAI-Enhanced ResearchUnlocking Family Histories: How AI Is Breathing New Life into Handwritten Records (South Central APG)https://southcentralapg.org/2025/08/16/unlocking-family-histories-how-ai-is-breathing-new-life-into-handwritten-records/Handwritten Text RecognitionA new Google model is nearly perfect on automated handwriting recognition - Hacker News https://news.ycombinator.com/item?id=45887262Cautious AI from Genealogy CompaniesAI-Enhanced BrowsersCompliance alert: Do not use AI browsershttps://vinciworks.com/blog/compliance-alert-do-not-use-ai-browsers/Content Integration with ChatbotsGemini vs Copilot: A Quick Comparison Guide (2025) - Tactiqhttps://tactiq.io/learn/gemini-vs-copilotAI in Office Productivity ToolsMicrosoft Copilot in 2025: What's Changed & What's Next | Aldridgehttps://aldridge.com/microsoft-copilot-in-2025-whats-changed-whats-next/Monthly Round Up: New Features in Microsoft 365 Copilot (Dec 2025)https://dynamicscommunities.com/ug/copilot-ug/monthly-round-up-new-features-in-microsoft-365-copilot/The AI Horse RaceThe Best AI in October 2025? We Compared ChatGPT, Claude, Grok, Gemini & Others - FelloAIhttps://felloai.com/the-best-ai-in-october-2025-we-compared-chatgpt-claude-grok-gemini-others/The 2025 AI Coding Models: Comprehensive Guide to the Top 5 Contenders - CodeGPThttps://www.codegpt.co/blog/ai-coding-models-2025-comprehensive-guideAI Licensing DealsContent Licensing Agreements Will Concentrate Markets Without Standardized Access - ProMarket(Nov 2025) https://www.promarket.org/2025/11/20/content-licensing-agreements-will-concentrate-markets-without-standardized-access/The False Hope of Content Licensing at Internet Scale - ProMarkethttps://www.promarket.org/2025/11/19/the-false-hope-of-content-licensing-at-internet-scale/The AI Bubble ConversationThe AI boom will turn to bust in 2026https://www.marketwatch.com/story/the-ai-boom-will-turn-to-bust-next-year-says-this-forecaster-who-offers-his-trade-of-the-year-9c2a2332OUTLOOK 2026 Promise and Pressure - J.P. Morgan (Discusses AI market stability vs bubble risks)https://www.jpmorgan.com/content/dam/jpmorgan/documents/wealth-management/outlook-2026.pdfTags:Artificial Intelligence, Genealogy, Family History, AI Predictions, NotebookLM, HTR, AI Browsers, ChatGPT, Google Gemini, Anthropic Claude

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the massive technological shifts driven by generative AI in 2025 and what you must plan for in 2026. You will learn which foundational frameworks ensure your organization can strategically adapt to rapid technological change. You’ll discover how to overcome the critical communication barriers and resistance emerging among teams adopting these new tools. You will understand why increasing machine intelligence makes human critical thinking and emotional skills more valuable than ever. You’ll see the unexpected primary use case of large language models and identify the key metrics you must watch in the coming year for economic impact. Watch now to prepare your strategy for navigating the AI revolution sustainably. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-2025-year-in-review.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn: In this week’s *In-Ear Insights*. This is the last episode of *In-Ear Insights* for 2025. We are out with the old. We’ll be back in January for new episodes the week of January 5th. So, Katie, let’s talk about the year that was and all the crazy things that happened in the year. And so what you’re thinking about, particularly from the perspective of all things AI, all things data and analytics—how was 2025 for you? Katie Robbert: What’s funny about that is I feel like for me personally, not a lot changed. And the reason I feel like I can say that is because a lot of what I focus on is foundational, and it doesn’t really matter what fancy, shiny new technology is happening. So I really try to focus on making sure the things that I do every day can adapt to new technology. And again, of course, that’s probably the most concrete example of that is the 5P framework: Purpose, People, Process, Platform for Performance. It doesn’t matter what the technology is. This is where I’m always going to ground myself in this framework so that if AI comes along or shiny object number 2 comes along, I can adapt because it’s still about primarily, what are we doing? So asking the right questions. The things that did change were I saw more of a need this year, not in general, but just this year, for people to understand how to connect with other people. And not only in a personal sense, but in a professional sense of my team needs to adopt AI or they need to adopt this new technology. I don’t know how to reach them. I don’t know where to start. I don’t know. I’m telling them things. Nothing’s working. And I feel like the technology of today, which is generative AI, is creating more barriers to communication than it is opening up communication channels. And so that’s a lot of where my head has been: how to help people move past those barriers to make sure that they’re still connecting with their teams. And it’s not so much that the technology is just a firewall between people, but it’s the when you start to get into the human emotion of “I’m afraid to use this,” or “I’m hesitant to use this,” or “I’m resistant to use this,” and you have people on two different sides of the conversation—how do you help them meet in the middle? Which is really where I’ve been focused, which, to be fair, is not a new problem: new tech, old problems. But with generative AI, which is no longer a fad—it’s not going away—people are like, “Oh, what do you mean? I actually have to figure this out now.” Okay, so I guess that’s what I mean. That’s where my head has been this year: helping people navigate that particular digital disruption, that tech disruption, versus a different kind of tech disruption. Christopher S. Penn: And if you had to—I know I personally always hate this question—if you had to boil that down to a couple of first principles of the things that are pretty universal from what you’ve had to tell people this year, what would those first principles be? Katie Robbert: Make sure you’re clear on your purpose. What is the problem you’re trying to solve? I think with technology that feels all-consuming, generative AI. We tend to feel like, “Oh, I just have to use it. Everybody else is using it.” Whereas things that have a discrete function. An email server, do I need to use it? Am I sending email? No. So I don’t need an email server. It’s just another piece of technology. We’re not treating generative AI like another piece of technology. We’re treating it like a lifestyle, we’re treating it like a culture, we’re treating it like the backbone of our organization, when really it’s just tech. And so I think it comes down to one: What is the question you’re trying to answer? What is the problem you’re trying to solve? Why do you need to use this in the first place? How is it going to enhance? And two: Are you clear on your goals? Are you clear on your vision? Which relates back to number 1. So those are really the two things that have come up the most: What’s the problem you’re trying to solve by using generative AI? And a lot of times it’s, “I don’t want to fall behind,” which is a valid problem, but it’s not the right problem to solve with generative AI. Christopher S. Penn: I would imagine. Probably part of that has to do with what you see from very credible studies coming out about it. The one that I know we’ve referenced multiple times is the 3-year study from Wharton Business School where, in Year 3 (which is 2025—this came out in October of this year), the line that caught everyone’s attention was at the bottom. Here it says 3 out of 4 leaders see positive returns on Gen AI investments, and 4 out of 5 leaders in enterprises see these investments paying off in a couple of years. And the usage levels. Again, going back to what you were saying about people feeling left behind, within enterprises, 82% using it weekly, 46% using it daily, and 72% formally measuring the ROI on it in some capacity and seeing those good results from it. Katie Robbert: But there’s a lot there that you just said that’s not happening universally. So measuring ROI consistently and in a methodical way, employees actually using these tools in the way that they’re intended, and leadership having a clear vision of what it’s intended to do in terms of productivity. Those are all things that sound good on paper but are not actually happening in real-life practice. We talk with our peers, we talk with our clients, and the chief complaint that we get is, “We have all these resources that we created, but nobody’s using them, nobody’s adopting this,” or, “They’re using generative AI, but not the way that I want them to.” So how do you measure that for efficiency? How do you measure that for productivity? So I look at studies like that and I’m like, “Yeah, that’s more of an idealistic view of everything’s going right, but in the real world, it’s very messy.” Christopher S. Penn: And we know, at least in some capacity, how those are happening. So this comes from Stanford—this was from August—where generative AI is deployed within organizations. We are seeing dramatic headcount reductions, particularly for junior people in their careers, people 22 to 25. And this is a really well-done study because you can see the blue line there is those early career folks, how not just hiring, but overall headcount is diminishing rapidly. And they went on to say, for professions where generative AI really isn’t part of it, like stock clerks, health aides, you do not see those rapid declines. The one that we care about, because our audience is marketing and sales. You can see there’s a substantial reduction in the amount of headcount that firms are carrying in this area. So that productivity increase is coming at the expense of those jobs, those seats. Katie Robbert: Which is interesting because that’s something that we saw immediately with the rollout of generative AI. People are like, “Oh great, this can write blog posts for me. I don’t need my steeple of writers.” But then they’re like, “Oh, it’s writing mediocre, uninteresting blog posts for me, but I’ve already fired all of my writers and none of them want to come back.” So I am going to ask the people who are still here to pick up the slack on that. And then those people are going to burn out and leave. So, yeah, if you look at the chart, statistically, they’re reducing headcount. If you dig into why they’re reducing headcount, it’s not for the right reasons. You have these big leaders, Sam Altman and other people, who are talking about, “We did all these amazing things, and I started this billion-dollar company with one employee. It’s just me.” And everything else is—guess what? That is not the rule. That is the exception. And there’s a lot that they’re not telling you about what’s actually happening behind the scenes. Because that one person who’s managing all the machines is probably not sleeping. They’re probably taking some sort of an upper to stay awake to keep up with whatever the demand is for the company that they’re creating. You want to talk about true hustle culture? That’s it. And it is not something that I would recommend to anyone. It’s not worth it. So when we talk about these companies that are finding productivity, reducing headcount, increasing revenue, what they’re not doing is digging into why that’s happening. And I would guarantee that it’s not on the up and up, but it’s not all the healthy version of that. Christopher S. Penn: Oh, we know that for sure. One of the big work trends this year that came out of Chinese AI Labs, which Silicon Valley is scrambling to impose upon their employees, is the 996 culture: 9 a.m. to 9 p.m., six days a week is demanding. Katie Robbert: I was like, “Nope.” I was like, “Why?” You’re never going to get me to buy into that. Christopher S. Penn: Well, I certainly don’t want to either. Although that’s about what I work anyway. But half of my work is fun, so. Katie Robbert: Well, yeah. So let the record show I do not ask Chris to work those hours. That is not a requirement. He is choosing, as a person with his own faculties, to say, “This is what I want to do.” So that is not a mandate on him. Christopher S. Penn: Yes, this is something that the work that I do is also my hobby. But what people forget to take into account is their cultural differences too. So. And there are also macro things that are different that make that even less sustainable in Western cultures than it does in Chinese cultures. But looking back at the year from a technological perspective, one of the things that stunned me was how we forget just how smart these things have gotten in just one year. One of the things that we—there’s an exam that was built in January of this year called Humanity’s Last Exam as a—it’s a very challenging exam. I think I have a sample question. Yeah, here’s 2 sample questions. I don’t even know what these questions mean. So my score on this exam would be a 0 because it’s one doing. Here’s a thermal paracyclic cascade. Provide your answer in this format. Here’s some Hebrew. Identify closed and open syllables. I look at this I can’t even multiple-choice guess this. Sure, I don’t know what it is. At the beginning of the year, the models at the time—OpenAI’s GPT4O, Claude 3 Opus, Google Gemini Pro 2, Deep Seek V3—all scored 5%. They just bombed the exam. Everybody bombed it. I granted they scored 5% more than I would have scored on it, but they basically bombed the exam. In just 12 months, we’ve seen them go from 5% to 26%. So a 5x increase. Gemini going from 6.8% to 37%, which is what—a 5, 6, 7—6x improvement. Claude going from 3% to 28%. So that’s what a 7x improvement. No, 8x improvement. These are huge leaps in intelligence for these models within a single calendar year. Katie Robbert: Sure. But listen, I always say I might be an N of 1. I’m not impressed by that because how often do I need to know the answers to those particular questions that you just shared? In the profession that I am in, specifically, there’s an old saying—I don’t know how old, or maybe it’s whatever—there’s a difference between book smart and street smart. So you’re really talking about IQ versus EQ, and these machines don’t have EQ. It’s not anything that they’re ever going to really be able to master the way that humans do. Now, when you say this, I’m talking about intellectual intelligence and emotional intelligence. And so if you’ve seen any of the sci-fi movies, *Her* or *Ex Machina*, you’re led to believe that these machines are going to simulate humans and be empathetic and sympathetic. We’ve already seen the news stories of people who are getting married to their generative AI system. That’s happening. Yes, I’m not brushing over it, I’m acknowledging it. But in reality, I am not concerned about how smart these machines get in terms of what you can look up in a dictionary or what you can find in an encyclopedia—that’s fine. I’m happy to let these machines do that all day long. It’s going to save me time when I’m trying to understand the last consonant of every word in the Hebrew alphabet since the dawn of time. Sure. Happy to let the machine do that. What these machines don’t know is what I know in my life experience. And so why am I asking that information? What am I going to do with that information? How am I going to interpret that information? How am I going to share that information? Those are the things that the machine is never going to replace me in my role to do. So I say, great, I’m happy to let the machines get as smart as they want to get. It saves me time having to research those things. I was on a train last week, and there were 2 women sitting behind me, and they were talking about generative AI. You can go anywhere and someone talks about generative AI. One of the women was talking about how she had recently hired a research assistant, and she had given her 3 or 4 academic papers and said, “I want to know your thoughts on these.” And so what the research assistant gave back was what generative AI said were the summaries of each of these papers. And so the researcher said, “No, I want to know your thoughts on these research papers.” She’s like, “Well, those are the summaries. That’s what generative AI gave me.” She’s like, “Great, but I need you to read them and do the work.” And so we’ve talked about this in previous episodes. What humans will have over generative AI, should they choose to do so, is critical thinking. And so you can find those episodes of the podcast on our YouTube channel at TrustInsights.ai/YouTube. Find our podcast playlist. And it just struck me that it doesn’t matter what industry you’re in, people are using generative AI to replace their own thinking. And those are the people who are going to be finding themselves to the right and down on those graphs of being replaced. So I’ve sort of gone on a little bit of a rant. Point is, I’m happy to let the machines be smarter than me and know more than me about things in the world. I’m the one who chooses how to use it. I’m the one who has to do the critical thinking. And that’s not going to be replaced. Christopher S. Penn: Yeah, that’s. But you have to make that a conscious choice. One of the things that we did see this year, which I find alarming, is the number of people who have outsourced their executive function to machines to say, “Hey, do this way.” There’s. You can go on Twitter, or what was formerly known as Twitter, and literally see people who are supposedly thought leaders in their profession just saying, “Chat GPT told me this. And so you’re wrong.” And I’m like, “In a very literal sense, you have lost your mind.” You have. It’s not just one group of people. When you look at the *Harvard Business Review* use cases—this was from April of this year—the number 1 use case is companionship for these tools. Whether or not we think it’s a good idea. They. And to your point, Katie, they don’t have empathy, they don’t have emotional intelligence, but they emulate it so well now. Oh, they do that. People use it for those things. And that, I think, is when we look back at the year that was, the fact that this is the number 1 use case now for these tools is shocking to me. Katie Robbert: Separately—not when I was on a train—but when I was sitting at a bar having lunch. We. My husband and I were talking to the bartender, and he was like, “Oh, what do you do for a living?” So I told him, and he goes, “I’ve been using ChatGPT a lot. It’s the only one that listens to me.” And it sort of struck me as, “Oh.” And then he started to, it wasn’t a concerning conversation in the sense that he was sort of under the impression that it was a true human. But he was like, “Yeah, I’ll ask it a question.” And the response is, “Hey, that’s a great question. Let me help you.” And even just those small things—it saying, “That’s a really thoughtful question. That’s a great way to think about it.” That kind of positive reinforcement is the danger for people who are not getting that elsewhere. And I’m not a therapist. I’m not looking to fix this. I’m not giving my opinions of what people should and shouldn’t do. I’m observing. What I’m seeing is that these tools, these systems, these pieces of software are being designed to be positive, being designed to say, “Great question, thank you for asking,” or, “I hope you have a great day. I hope this information is really helpful.” And it’s just those little things that are leading people down that road of, “Oh, this—it knows me, it’s listening to me.” And so I understand. I’m fully aware of the dangers of that. Yeah. Christopher S. Penn: And that’s such a big macro question that I don’t think anybody has the answer for: What do you do when the machine is a better human than the humans you’re surrounded by? Katie Robbert: I feel like that’s subjective, but I understand what you’re asking, and I don’t know the answer to that question. But that again goes back to, again, sort of the sci-fi movies of *Her* or *Ex Machina*, which was sort of the premise of those, or the one with Haley Joel Osment, which was really creepy. *Artificial Intelligence*, I think, is what it was called. But anyway. People are seeking connection. As humans, we’re always seeking connection. Here’s the thing, and I don’t want to go too far down the rabbit hole, but a lot of people have been finding connection. So let’s say we go back to pen pals—people they’d never met. So that’s a connection. Those are people they had never met, people they don’t interact with, but they had a connection with someone who was a pen pal. Then you have things like chat rooms. So AOL chat room—A/S/L. We all. If you’re of that generation, what that means. People were finding connections with strangers that they had never met. Then you move from those chat rooms to things like these communities—Discord and Slack and everything—and people are finding connections. This is just another version of that where we’re trying to find connections to other humans. Christopher S. Penn: Yes. Or just finding connections, period. Katie Robbert: That’s what I mean. You’re trying to find a connection to something. Some people rescue animals, and that’s their connection. Some people connect with nature. Other people, they’re connecting with these machines. I’m not passing judgment on that. I think wherever you find connection is where you find connection. The risk is going so far down that you can’t then be in reality in general. I know. *Avatar* just released another version. I remember when that first version of the movie *Avatar* came out, there were a lot of people very upset that they couldn’t live in that reality. And it’s just. Listen, I forgot why we’re doing this podcast because now we’ve gone so far off the rails talking about technology. But I think to your point, what’s happened with generative AI in 2025: It’s getting very smart. It’s getting very good at emulating that human experience, and I don’t think that’s slowing down anytime soon. So we as humans, my caution for people is to find something outside of technology that grounds you so that when you are using it, you can figure out sort of that real from less reality. Christopher S. Penn: Yeah. One of the things—and this is a complete nerd thing—but one of the things that I do, particularly when I’m using local models, is I will keep the console up that shows the computations going as a reminder that the words appearing on the screen are not made by a human; they’re made by a machine. And you can see the machinery working, and it’s kind of knowing how the magic trick is done. You watch go. “Oh, it’s just a token probability machine.” None of what’s appearing on screen is thought through by an organic intelligence. So what are you looking forward to or what do you have your eyes on in 2026 in general for Trust Insights or in particular the field of AI? Katie Robbert: I think now that some of the excitement over Generative AI is wearing off. I think what I’m looking forward to in 2026 for Trust Insights specifically is helping more organizations figure out how AI fits into their overall organization, where there’s real opportunity versus, “Hey, it can write a blog post,” or, “Hey, it can do these couple of things,” and I built a—I built a gem or something—but really helping people integrate it in a thoughtful way versus the short-term thinking kind of way. So I’m very much looking forward to that. I’m seeing more and more need for that, and I think that we are well suited to help people through our courses, through our consulting, through our workshops. We’re ready. We are ready to help people integrate technology into their organization in a thoughtful, sustainable way, so that you’re not going to go, “Hey, we hired these guys and nothing happened.” We will make the magic happen. You just need to let us do it. So I’m very much looking forward to that. I’ve personally been using Generative AI to sort of connect dots in my medical history. So I’m very excited just about the prospect of being able to be more well-informed. When I go into a doctor’s office, I can say, “I’m not a doctor, I’m not a researcher, but I know enough about my own history to say these are all of the things. And when I put them together, this is the picture that I’m getting. Can you help me come to faster conclusions?” I think that is an exciting use of generative AI, obviously under a doctor’s supervision. I’m not a doctor, but I know enough about how to research with it to put pieces together. So I think that there’s a lot of good that’s going to come from it. I think it’s becoming more accessible to people. So I think that those are all positive things. Christopher S. Penn: The thing—if there’s one thing I would recommend that people keep an eye on—is a study or a benchmark from the Center for AI Safety called RLI, Remote Labor Index. And this is a benchmark test where AI models and their agents are given a task that typically a remote worker would do. So, for example, “Here’s a blueprint. Make an architectural rendering from it. Here’s a data set. Make a fancy dashboard, make a video game. Make a 3D rendering of this product from the specifications.” Difficult tasks that the index says the average deliverable costs thousands of dollars and hundreds of hours of time. Right now, the state of the art in generative AI—it’s close to—because this was last month’s models, succeeded 2.1% of the time at a max. It was not great. Now, granted, if your business was to lose 2.1% of its billable deliverables, that might be enough to make the difference between a good year and a bad year. But this is the index you watch because with all the other benchmarks, like you said, Katie, they’re measuring book smart. This is measuring: Was the work at a quality level that would be accepted as paid, commissioned work? And what we saw with Humanity’s Last Exam this year is that models went from face-rolling moron, 3% scores, to 25%, 30%, 35% within a year. If this index of, “Hey, I can do quality commissioned work,” goes from 2.1% to 10%, 15%, 20%, that is economic value. That is work that machines are doing that humans might not be. And that also means that is revenue that is going elsewhere. So to me, this is the one thing—if there’s one thing I was going to pay attention to in 2026—it would be watching measures like this that measure real-world things that you would ask a human being to do to see how tools are advancing. Katie Robbert: Right. The tools are going to advance, people are going to want to jump on it. But I feel like when generative AI first hit the market, the analogy that I made is people shopping the big box stores versus people shopping the small businesses that are still doing things in a handmade fashion. There’s room for both. And so I think that you don’t have to necessarily pick one or the other. You can do a bit of both. And I think that for me is the advice that I would give to people moving into 2026: You can use generative AI or not, or use it a little bit, or use it a lot. There’s no hard and fast rule that says you have to do it a certain way. So I think that’s really when clients come to us or we talk about it through our content. That’s really the message that I’m trying to get across is, “Yeah, there’s a lot that you can do with it, but you don’t have to do it that way.” And so that is what I want people to take away. At least for me, moving into 2026, is it’s not going anywhere, but that doesn’t mean you have to buy into it. You don’t have to be all in on it. Just because all of your friends are running ultramarathons doesn’t mean you have to. I will absolutely not be doing that for a variety of reasons. But that’s really what it comes down to: You have to make those choices for yourself. Yes, it’s going to be everywhere. Yes, it’s accessible, but you don’t have to use it. Christopher S. Penn: Exactly. And if I were to give people one piece of advice about where to focus their study time in 2026, besides the fundamentals, because the fundamentals aren’t changing. In fact, the fundamentals are more important than ever to get things like prompting and good data right. But the analogy is that AI is sort of the engine—you need the rest of the car. And 2026 is when you’re going to look at things like agentic frameworks and harnesses and all the fancy techno terms for this. You are going to need the rest of the car because that’s where utility comes from. When a generative AI model is great, but a generative AI model connected to your Gmail so you can say which email should I respond to first today is useful. Katie Robbert: Yep. And I support that. That is a way that I will be using. I’ve been playing with that for myself. But what that does is it allows me to focus more on the hands-on homemade small business things. When before I was drowning in my email going, “Where do I start?” Great, let the machine tell me where to start. I’m happy to let AI do that. That’s a choice that I am making as a human who’s going to be critically thinking about all of the rest of the work that I have going on. Christopher S. Penn: Exactly. So you got some thoughts about what has happened this year that you want to share? Pop on by our free Slack at TrustInsights.ai/analyticsformarketers where you and over 4,500 other human marketers are asking and answering each other’s questions every single day. And wherever it is you watch or listen to the show, if there’s a channel you’d rather have it on, go to TrustInsights.ai/tipodcast. You can find us at all the places fine podcasts are served. Thank you for being with us here in 2025, the craziest year yet in all the things that we do. We appreciate you being a part of our community. We appreciate listening, and we wish you a safe and happy holiday season and a happy and prosperous new year. Talk to you on the next one. *** Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep-dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Trust Insights also offers expert guidance on social media analytics, marketing technology (MarTech) selection and implementation, and high-level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, Dall-E, Midjourney, Stable Diffusion, and Meta Llama. Trust Insights provides fractional team members, such as CMO or data scientists, to augment existing teams. Beyond client work, Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the *In-Ear Insights* podcast, the *Inbox Insights* newsletter, the *So What* livestream, webinars, and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights are adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations (data storytelling). This commitment to clarity and accessibility extends to Trust Insights educational resources, which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

Rick Pierce, Co-Founder and CEO of Decoy Therapeutics. is using AI and machine learning to accelerate drug discovery and is developing broad-acting antivirals using peptide conjugates that target a shared invasion mechanism of hundreds of viruses.  The company is using small language models and a high-speed peptide synthesizer to dramatically reduce drug creation time. Rick predicts that the future of drug discovery will combine AI-driven design with advanced biological models, such as organoids, to better predict drug toxicity and efficacy. Rick explains, "Decoy Therapeutics was founded years ago, during the COVID era. And what we've learned during that was that in order to develop drugs rapidly and scale up their manufacturing, we needed to use machine learning and AI. And the drugs that we're looking at developing today as a result of that are broad-acting antivirals that can be used against multiple viruses. So one drug can be used against multiple viruses like Flu, COVID, and RSV." "So we chose antivirals as a space because viruses have what is called polypharmacology, and in plain layman's terms, what that means is that about 250 of these viruses share the same invasion machinery, meaning the way the virus enters the healthy cells is shared across all those viruses. It's slightly different in each of those viruses, but effectively for drug development, very similar."   "That allows us to use peptides, which are also alpha helices, to be able to design drugs with AI and machine learning that physically block the invasion machinery and thus basically the virus from binding to a healthy cell. Peptides are uniquely positioned as drugs for this set of viral targets. Again, it's a rich set of targets among 250 viruses across multiple viral families."   #DecoyTherapeutics #PeptideConjugates #BroadSpectrumAntiviral #AIinBiotech #NextGenMedicine   decoytx.com Download the transcript here  

Rick Pierce, Co-Founder and CEO of Decoy Therapeutics. is using AI and machine learning to accelerate drug discovery and is developing broad-acting antivirals using peptide conjugates that target a shared invasion mechanism of hundreds of viruses.  The company is using small language models and a high-speed peptide synthesizer to dramatically reduce drug creation time. Rick predicts that the future of drug discovery will combine AI-driven design with advanced biological models, such as organoids, to better predict drug toxicity and efficacy. Rick explains, "Decoy Therapeutics was founded years ago, during the COVID era. And what we've learned during that was that in order to develop drugs rapidly and scale up their manufacturing, we needed to use machine learning and AI. And the drugs that we're looking at developing today as a result of that are broad-acting antivirals that can be used against multiple viruses. So one drug can be used against multiple viruses like Flu, COVID, and RSV." "So we chose antivirals as a space because viruses have what is called polypharmacology, and in plain layman's terms, what that means is that about 250 of these viruses share the same invasion machinery, meaning the way the virus enters the healthy cells is shared across all those viruses. It's slightly different in each of those viruses, but effectively for drug development, very similar."   "That allows us to use peptides, which are also alpha helices, to be able to design drugs with AI and machine learning that physically block the invasion machinery and thus basically the virus from binding to a healthy cell. Peptides are uniquely positioned as drugs for this set of viral targets. Again, it's a rich set of targets among 250 viruses across multiple viral families."   #DecoyTherapeutics #PeptideConjugates #BroadSpectrumAntiviral #AIinBiotech #NextGenMedicine   decoytx.com Listen to the podcast here  

Psychotherapist and author Leah Marone joins Mark for a grounded conversation about why so many of us fall into the trap of overfunctioning for others. Leah, whose new book Serial Fixer explores this exact pattern, explains how emotional mirroring and urgency cycles show up in families, friendships, and clinical environments. She walks through the patterns she sees when people try to rescue or fix someone who is struggling and why that well intentioned approach often fuels more chaos rather than growth.Leah introduces practical indicators that boundaries are slipping, including resentment and repetitive conversations where nothing changes. She breaks down what serial fixing looks like in real time, how quickly we jump into problem solving to relieve our own discomfort, and why validation is the missing skill that keeps ownership where it belongs.She also explains her framework of support not solve, a mindset that helps clinicians, caregivers, and families shift away from codependency and toward healthier relational dynamics. Through relatable examples, Leah teaches how to use I statements, strengthen self trust, and approach hard conversations with clarity rather than guilt.This episode gives listeners concrete tools to stop taking responsibility for what is not theirs, communicate boundaries with confidence, and build more sustainable, compassionate relationships in their personal lives and in healthcare.Leah C Marone, LCSW Website : https://www.serial-fixer.com/TedTalk : https://www.youtube.com/watch?v=qVBjI4tNv3sEpisode Takeaways Self Care Is Not a Spa Day- Real self care is a series of small resets throughout the day that regulate your nervous system.Fixing Others Creates More Chaos- Trying to solve someone's problems for them often fuels dependency and resentment.Resentment Signals a Boundary Problem- When irritation grows, it usually means you have taken on work that is not yours.Validation Beats Problem Solving- People calm down when they feel understood, not when they receive rapid fire solutions.I Statements Keep Conversations Safe- Replacing “you always” with “I feel” prevents defensiveness and keeps dialogue open.Urgency Is Often Self Imposed- Feeling responsible for everyone's comfort pushes you into overfunctioning and emotional burnout.Self Trust Requires Reps- Boundaries get easier through practice, not perfection, and discomfort is part of the growth curve.Micro Transitions Change Your Day- Short pauses between tasks help reset your focus and reduce the compounding stress that builds across a busy day.Episode Timestamps03:58 – Meeting the Inner Critic: Why We Judge Ourselves So Harshly05:16 – Realizing People Are Not Thinking About You as Much as You Think24:18 – Why Fixing Others Fails and How to Shift the Pattern25:50 – Boundaries Require Reps: Getting Comfortable With Discomfort28:28 – The Danger of “You” Statements and How They Trigger Defensiveness32:19 – The Hidden Crisis in Medicine: Shell Culture and Silent Burnout33:23 – What Self Care Really Means: Internal Conflict and Rigid Beliefs35:40 – Micro Transitions: How Small Daily Moments Can Reset Your Nervous SystemDISCLAMER >>>>>>    The Ditch Lab Coat podcast serves solely for general informational purposes and does not serve as a substitute for professional medical services such as medicine or nursing. It does not establish a doctor/patient relationship, and the use of information from the podcast or linked materials is at the user's own risk. The content does not aim to replace professional medical advice, diagnosis, or treatment, and users should promptly seek guidance from healthcare professionals for any medical conditions.   >>>>>> The expressed opinions belong solely to the hosts and guests, and they do not necessarily reflect the views or opinions of the Hospitals, Clinics, Universities, or any other organization associated with the host or guests.    Disclosures: Ditch The Lab Coat podcast is produced by (soundsdebatable.com) and is independent of Dr. Bonta's teaching and research roles at McMaster University, Temerty Faculty of Medicine and Queens University. 

With the Maryland Crab Cake Tour back in Baltimore County, it's always important to discuss the issues in an election year with prospective candidates who tell Nestor what they like – and don't like – about the direction of current leadership. Nick Stewart returns to update Nestor on his pitch and platform at Honey's in Halethorpe as the conversation about the future of the county of our business and life is open for debate and big 2026 local ballot looms in the spring. The post Baltimore County Executive candidate Nick Stewart gives Nestor his pitch and platform in Halethorpe first appeared on Baltimore Positive WNST.

Shopify has officially released its Winter 2026 Editions update, and in this episode of the eCommerce Badassery Podcast, we're breaking down everything you need to know. From major AI innovations to new Shopify apps and backend tools that can transform your store's performance, this is your complete, no-fluff guide to the latest Shopify updates for eCommerce businesses. The Winter 2026 Shopify Editions is being called the "AI Renaissance," and for good reason. The platform has doubled down on artificial intelligence with upgrades to Shopify Sidekick, the rollout of Sidekick Skills, app-building capabilities, and more. But with so many shiny new tools, how do you know what's actually worth your time? Tune in to hear my honest thoughts, and practical takeaways on which updates you should explore, which to avoid, and how to strategically implement these features into your eCommerce store. What We Cover: The Sidekick feature that's actually worth your time (hint: it's not app building) How to use AI to automate your customer workflows—without breaking your brain What agentic storefronts could mean for showing up in AI-powered search The AI-optimized “knowledge base” you didn't know you needed A few low-key Shopify updates that'll make your daily ops smoother Key Takeaway: Some of these are just shiny objects and you should probably ignore them. Focus on the features that solve real problems in your business—and ignore the rest. Get strategic, not distracted.   _______ Full Episode Show Notes http://ecommercebadassery.com/357   _______ Learn With Me Work with Me 1:1 https://ecommercebadassery.com/ecommerce-help/ https://ecommercebadassery.com/email-marketing/   Courses & Membership https://ecommercebadassery.com/membership https://ecommercebadassery.com/programs   _______   Let's Connect Website: http://ecommercebadassery.com Instagram: http://instagram.com/ecommercebadassery Membership: http://ecommercebadassery.com/membership   _______   Rate, Review, & Subscribe Like what you heard? I'd be forever grateful if you'd rate, review and subscribe to the show! Not only does it help your fellow eCommerce entrepreneurs find the eCommerce Badassery podcast; but it's also valuable feedback for me to continue bringing you the content you want to hear.    Review Here: https://podcasts.apple.com/us/podcast/ecommerce-badassery/id1507457683  

Hey CX Nation,In this week's episode of The CXChronicles Podcast #274, we welcomed Dave Rennyson, President & CEO at SuccessKPI based in the Washington, DC area. SuccessKPI is an on-demand insight and action platform that removes the obstacles that agents, managers, and executives encounter in delivering exceptional customer service.SuccessKPI is trusted by some of the world's largest government, BPO, financial, healthcare, and technology contact centers in the United States, Europe, and Latin America.In this episode, Dave and Adrian chat through the Four CX Pillars: Team, Tools, Process & Feedback. Plus share some of the ideas that his team think through on a daily basis to build world class customer experiences.**Episode #274 Highlight Reel:**1. Why the best organizations & teams invest in constant training efforts 2. How music and business are wildly similar 3. Leveraging & investing in AI over the next 1,000 days 4. Understanding the power of your data architecture  5. Tomorrow's leading tech-companies will bring solutions, not headaches Click here to learn more about Dave RennysonClick here to learn more about SuccessKPIHuge thanks to Dave for coming on The CXChronicles Podcast and featuring his work and efforts in pushing the customer experience & contact center space into the future. For all of our Apple & Spotify podcast listener friends, make sure you are following CXC & please leave a 5 star review so we can find new members of the "CX Nation". You know what would be even better?Go tell your friends or teammates about CXC's custom content, strategic partner solutions (Hubspot, Intercom, & Freshworks) & On-Demand services & invite them to join the CX Nation, a community of 15K+ customer focused business leaders!Want to see how your customer experience compares to the world's top-performing customer focused companies? Check out the CXC Healthzone, an intelligence platform that shares benchmarks & insights for how companies across the world are tackling The Four CX Pillars: Team, Tools, Process & Feedback & how they are building an AI-powered foundation for the future. Thanks to all of you for being apart of the "CX Nation" and helping customer focused business leaders across the world make happiness a habit!Reach Out To CXC Today!Support the showContact CXChronicles Today Tweet us @cxchronicles Check out our Instagram @cxchronicles Click here to checkout the CXC website Email us at info@cxchronicles.com Remember To Make Happiness A Habit!!

Host Emily Walsh Martin welcomes Dr. Jim Burns, CEO of Ensoma, to discuss the company's novel technological approach to treating both rare diseases and solid tumor oncology. Dr. Burns provides a detailed overview of Ensoma's platform and its application in their ongoing clinical trials, including the recently announced first patient infusion for chronic granulomatous disease. Learn how this initial trial is set to inform future therapeutic opportunities for indications with high unmet medical need. Music: ‘Bright New Morning’ by Steven O’Brien – released under CC-BY 4.0. https://www.steven-obrien.net/Show your support for ASGCT!: https://asgct.org/membership/donateSee omnystudio.com/listener for privacy information.

Are we witnessing rising Islamic militancy in Bangladesh? Or could it become a model for other developing countries? A nationwide celebration is underway. It's Victory Day for Bangladesh's 176 million people. Fifty-four years ago today -- December 16th, 1971 -- the former state of East Pakistan became the modern, independent nation of Bangladesh.   But few people are pleased with the trajectory Bangladesh is currently on. What's been happening this past 15 months has shaken this country to its core. On August 5th, 2024 protests over government job quotas escalated into a wider anti-government movement, with a resulting violent crackdown leading to the ousting of the long-time ruler, Sheikh Hasina. She now faces the death penalty if she returns. Her whole political party, the Awami League, has been banned too.   Now the Muslim-majority state faces perhaps the most significant fork-in-the-road moment since its independence. The February 2026 election. Can the caretaker leader and Nobel Peace Prize laureate Muhammad Yunus pull it off? Will it be free and fair?  It is possible that stability and democracy will be restored. It is also possible that an Islamist takeover and the cancellation of Democracy will ensue. To find out how the election could not only reshape contemporary Bangladesh's political foundations but also South Asian stability, security cooperation and geopolitical rivalries, Disorder co-host Mark Lobel is joined by three experts on the ground in the country. 1- Debapriya Bhattacharya-- Economist, public policy analyst and Distinguished Fellow at the Centre for Policy Dialogue in Dhaka, Aasha Mehreen Amin -- joint editor at The Daily Star, and Iftekharuz Zaman -- Executive Director of Transparency International Bangladesh. Although we don't hear about it much in the Western press, investors and policymakers the world over certainly have their eyes peeled on South Asia's second largest economy and what it decides to do next. We hope you the Orderers enjoy this exclusive journalistic content.  If you like more deepdives like this and appreciate the effort we are putting in please: PLEASE join our Mega Orderers Club, and get ad free listening, early episode releases, bonus content and exclusive access to live events, visit https://disorder.supportingcast.fm/  Producer: George McDonagh Subscribe to our Substack - https://natoandtheged.substack.com/ [Join the pay for substack for the 8 Jan event] Disorder on YouTube - https://www.youtube.com/@DisorderShow Show Notes Links: You can get in touch with Mark, to host or speak at your event here: https://www.mark-lobel.com/getintouch  Aasha's 'No Strings Attached' column: https://www.thedailystar.net/author/aasha-mehreen-amin  National Survey of Bangladesh: https://www.iri.org/resources/national-survey-of-bangladesh-september-october-2025/  Citizen's Platform for SDGs, Bangladesh: https://bdplatform4sdgs.net/  Pls Join the Mega Orderers Club for ad-free listening and early release of the episodes, via this link: https://disorder.supportingcast.fm/ Join us at our live event in RUSI on January 8th https://my.rusi.org/events/disorder-podcast-live-what-disorder-will-2026-bring.html (You need to join RUSI or the Mega Orderers Club or Paid for Substack to attend) Learn more about your ad choices. Visit megaphone.fm/adchoices

Mr. Beast Biography Flash a weekly Biography.In the past few days Jimmy Donaldson, better known as Mr Beast, has been in that rare zone where every move is both a business story and a pop culture moment, and the biggest development is his quiet but very real pivot from superstar creator to would be financial and telecom mogul. At The New York Times DealBook Summit, in an onstage interview now posted on the Times YouTube channel, Donaldson and Beast Industries CEO Jeff Housenbold laid out plans for a new mobile phone service called Beast Mobile, positioned as a creator branded wireless carrier that leans on his more than 450 million YouTube subscribers. Housenbold said the company is also building a MrBeast Financial platform, with a trademark filing describing a banking and crypto enabled app, and he framed it as financial literacy plus access to services rather than just another sponsorship deal, a move that Business Insider reports would make him one of the first major creators to enter consumer finance at this scale. TechCrunch and Entrepreneur both highlight that these products sit inside Beast Industries, the holding company recently valued around 5 billion dollars, with Feastables chocolate still its most profitable line, and Housenbold openly floated the idea of a future IPO so that fans could own a slice of the empire, an idea echoed in coverage by TechCrunch and Unilad as a potential creator led public listing. Those DealBook remarks doubled as a rare long form public appearance, where Donaldson acknowledged that some recent YouTube uploads have not met his own standards and pledged to refocus on “great stories,” even as he juggles Beast Games on Amazon, an animation push, a creator brand marketplace and physical consumer products from toys to snacks. He also addressed the lawsuits from MrBeast Burger partner Virtual Dining Concepts and from a small group of Beast Games contestants; in the Times interview he characterized the show disputes as an inevitable risk when nearly 2,000 people compete, saying some people sue to “try to make money,” while Housenbold insisted the team is learning and that season two, due early next year, will be “a lot better.” There is online speculation, amplified by fan social media and tabloid style sites, that Beast Mobile and MrBeast Financial could evolve into a full scale “MrBeast bank” or that an IPO is imminent, but as of now reputable outlets like Business Insider and TechCrunch report only early stage plans and trademark groundwork rather than a firm launch date or listing timetable. Thanks for listening, and be sure to subscribe so you never miss an update on Mr Beast. To keep going deeper on the people shaping our world, search the term Biography Flash for more great biographies.And that is it for today. Make sure you hit the subscribe button and never miss an update on Mr. Beast. Thanks for listening. This has been a Quiet Please production."Get the best deals https://amzn.to/4mMClBvThis content was created in partnership and with the help of Artificial Intelligence AI

The Platform Mix 588 features Tonka, from Philadelphia! He's a DJ for the Phillies and has been playing all over the city for years playing everything from club sets to his own party, "Pop Punks Not Dead." He gives a little showcase of what those parties are like over the next hour as he added a ton of his favorite pop punk tracks from originals to remixes. Be sure to follow Tonka on his socials to see all his upcoming gigs. Subscribe to my Patreon to see full track lists from the mixes, take a look at my top tracks of the week and get a look into what I'm playing out in my sets. Now turn those speakers up and let's get into it with Tonka's latest right here, on The Platform. Tonka: https://www.instagram.com/djtonka_/ Podcast: www.youtube.com/@theplatformmix Patreon: www.patreon.com/djdexmke Artwork by Michael Byers-Dent: www.instagram.com/byersdent/

In "Why It's Time to Expect More from Your EDI Platform", Joe Lynch and Shane Hagen, Presales Solutions Architect at Cleo, discuss the necessity of transitioning from traditional EDI to a unified platform for strategic supply chain orchestration and superior visibility. About Shane Hagen Shane Hagen is a Presales Solutions Architect at Cleo. He designs integration solutions that seamlessly connect internal applications with external partners, leveraging both API and EDI integration patterns. Cleo's customers rely on Shane to solve complex supply-chain challenges, trusting him to bridge the gap between business objectives and technical execution. With over eight years of experience in the integration space—including a prior role at Boomi—Shane brings deep expertise in modern connectivity and enterprise workflow design. He holds a computer science degree from Penn State University. About Cleo Cleo Integration Cloud (CIC) is a cloud-based integration platform, that allows organizations to build, operate, and optimize critical supply chain orchestration processes. The CIC platform brings end-to-end integration visibility across API, EDI, and non-EDI integrations, giving technical and business users the confidence to rapidly onboard trading partners, enable integration between applications, and accelerate revenue-generation. As a supply chain orchestration software company focused on business outcomes, Cleo's focus is to ensure each customer's potential is realized by delivering strategic solutions that make it easy to discover and create value through the movement and integration of B2B enterprise data. Key Takeaways: Why It's Time to Expect More from Your EDI Platform In "Why It's Time to Expect More from Your EDI Platform", Joe Lynch and Shane Hagen, Presales Solutions Architect at Cleo, discuss the necessity of transitioning from traditional EDI to a unified platform for strategic supply chain orchestration and superior visibility. The Imperative for Seamless System Connectivity The penalty for not connecting internal systems directly to external business partners is severe: it forces manual entry, leading to processes that are time-consuming, slow, unreliable, and prone to error. Organizations must expect their EDI platform to eliminate this manual burden and ensure robust, automated data exchange. Shift from Transaction Processing to Supply Chain Orchestration Expect your platform to evolve beyond simple data exchange to become a strategic tool for supply chain orchestration. Modern cloud platforms, like Cleo Integration Cloud (CIC), manage, operate, and optimize critical B2B enterprise data movement across the entire network, driving strategic business outcomes. Enabling Profitable Partner Relationships Through Speed Working with a powerful integration platform like Cleo is the key to accelerating growth. It directly enables companies to onboard new customers, suppliers, and business partners significantly faster, which is foundational to building more prosperous, high-velocity relationships. Hybrid Integration is the New Standard (API + EDI) The complexities of the modern supply chain require integration solutions that seamlessly blend traditional EDI with contemporary API patterns. A high-value platform must provide a unified environment for designing complex, end-to-end workflows that leverage both types of connectivity. Comprehensive Visibility Across All Data Streams True operational control requires end-to-end integration visibility across every data flow—API, EDI, and non-EDI. This holistic view gives technical and business users the confidence to solve complex supply-chain challenges by quickly identifying and resolving any bottlenecks. Bridging the Gap Between Business Strategy and Technical Execution A modern EDI platform must act as the essential link between ambitious business objectives (like accelerated revenue and growth) and the technical execution required to meet them. Guest experts, like Shane Hagen, are relied upon to translate complex requirements into measurable business value. Strategic Partnerships Drive Industry Focus (The Trimble Example) Expect your integration provider to have deep, strategic alliances within key industries. Cleo's position as a proud Trimble partner highlights its experience in solving complex integration challenges for Trimble customers and demonstrates its specialized focus on critical industry ecosystems. Learn More About Why It's Time to Expect More from Your EDI Platform Shane Hagen Cleo | Linkedin Cleo Demo Case Studies The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube

Deovrat Kajwadkar is the Director of Strategic Deal Pricing and Monetization at Google Cloud, where he sits at the center of some of the most complex commercial decisions in modern tech. With a background in management consulting at McKinsey and deep experience in cloud and AI monetization, Deovrat brings a rare inside view of how pricing actually works when products are platforms, costs are dynamic, and value is constantly evolving. In this conversation, Deovrat and Mark Stiving unpack why pricing is not just a "number-setting" function but the grade of how well everything else in the business is working. They explore the difference between platforms and solutions, why value-based pricing becomes harder as offerings become more flexible, and how AI is changing both how pricing is done and what pricing even means.   Why You Have to Check Out Today's Podcast: Learn why pricing sits at the heart of cloud and AI economics, touching product, strategy, sales, and profitability all at once. Understand how platforms, solutions, and AI fundamentally change value-based pricing, and why cost, competition, and outcomes all matter—at different layers of the stack. Discover why "pulling the dollar lever" is the most expensive move, and what smarter pricing leaders focus on first.   "Pulling the dollar lever is easy—but it's also very expensive. I'd rather pull every other lever first." — Deovrat Kajwadkar   Topics Covered: 01:40 – Cloud Pricing as a Central Role. Deovrat explains why pricing sits at the center of Google Cloud's commercial decisions—connecting product strategy, growth, profitability, and customer value. 05:09 – Cloud Computing for Enterprises. A clear, non-technical explanation of cloud computing for enterprise customers, from infrastructure and platforms to software and AI—and why pricing each layer is different. 08:48 – Value-Based Pricing Challenges. Mark and Deovrat discuss why value-based pricing is especially difficult for platforms, where customers use the same products in very different ways. 13:04 – Value-Based Pricing Strategies. A practical framework for pricing across the cloud stack: cost- and competition-based pricing at the lower layers, and outcome-driven pricing as offerings move closer to customer solutions. 18:10 – AI's Impact on Pricing Strategies. How AI is changing pricing on multiple fronts—what gets priced, how costs behave, and how quickly products and value propositions evolve. 22:34 – AI in Pricing Strategies. Deovrat breaks down how AI can support pricing decisions, from customer analysis and renewals to analytics and decision support—while stressing the importance of clean data foundations. 24:12 – AI Value Delivery Challenges. Why delivering real AI value is harder than building the technology itself, and how change management and business adoption affect pricing and monetization. 27:30 – Pricing Advice for Business Impact. Deovrat's closing advice: great pricing leaders expand their skill set beyond pricing fundamentals—and pull every lever before resorting to raising prices.   Key Takeaways: "Pricing touches almost everything—it's the heart of a company's economics." — Deovrat Kajwadkar "The more commoditized the offering, the more cost and competition matter." — Deovrat Kajwadkar "As you move closer to business outcomes, value-based pricing becomes possible—but harder." — Deovrat Kajwadkar "AI changes pricing, but it doesn't eliminate the fundamentals." — Deovrat Kajwadkar   People / Resources Mentioned: Google Cloud – Cloud platform spanning infrastructure, AI models, developer tools, and industry solutions. McKinsey & Company – Deovrat's consulting background, shaping his strategic view of pricing and technology. AI Models & Agentic Workflows – Referenced in the context of pricing analytics, automation, and decision support.   Connect with Deovrat Kajwadkar: LinkedIn: https://www.linkedin.com/in/deovrat-kajwadkar   Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving/ Email: mark@impactpricing.com  

Today I'm joined by the founder of Detrans.AI, an innovative chatbot and data tool designed to amplify the perspectives of detransitioners. A young web developer from Wellington, New Zealand, Peter shares how his journey began with trying to understand a loved one, and how his search for answers led him to discover the largely silenced stories of those with transition regret.We dive deep into the technical and ethical decisions Peter made while building Detrans.ai, including his choice to use a Chinese AI model (Kimi K2) to avoid the pro-gender ideology bias baked into Western AI systems like ChatGPT. Peter walks us through the site's powerful data visualizations, which reveal striking patterns: the peak ages for transition and detransition, the gender differences in why people transition (with autogynephilia prominent for males and internalized misogyny for females), and perhaps most importantly—that proper psychotherapy is the number one factor leading to detransition for females.We explore how parents and questioning individuals can use this tool, the social backlash Peter has faced for creating it, and why dismantling the "born this way" narrative is essential for protecting young people experiencing gender distress. This conversation offers hope that ethical therapists are beginning to step forward and that tools like Detrans.ai can help bridge the gap between concerned parents and the truth about what's really driving the gender crisis.Peter James Steven is a developer and designer from Wellington, New Zealand. He recently developed a sited called detrans.ai to promote the experiences and perspectives of detransitioners. Detrans.ai is primarily a chatbot that deconstructs gender concepts and to promotes holistic, non-medical approaches to healing gender distress. It integrates knowledge from the /r/detrans subreddit, which is the largest open collection of detrans experiences on the internet. Follow him on X @pjamessteven.[00:00:00] Start[00:03:45] Why the "Born This Way" Narrative Is Toxic[00:09:30] Building AI Without Gender Ideology Bias[00:17:45] The 5000% Increase in Gender Dysphoria Referrals[00:27:30] Analyzing 2,700 Detransitioner Stories[00:35:00] Male vs Female Transition Reasons Compared[00:42:32] What Actually Causes People to Detransition[00:49:27] Tour of the Detrans.ai Platform[00:57:45] Debunking Common Gender Ideology Myths[01:02:35] Message to Detransitioners and Closing ThoughtsROGD REPAIR Course + Community gives concerned parents instant access to over 120 lessons providing the psychological insights and communication tools you need to get through to your kid. Now featuring 24/7 personalized AI support implementing the tools with RepairBot! Use code SOMETHERAPIST2025 to take 50% off your first month.PODCOURSES: use code SOMETHERAPIST at LisaMustard.com/PodCoursesTALK TO ME: book a meeting.PRODUCTION: Looking for your own podcast producer? Visit PodsByNick.com and mention my podcast for 20% off your initial services.SUPPORT THE SHOW: subscribe, like, comment, & share or donate.Watch NO WAY BACK: The Reality of Gender-Affirming Care. Use code SOMETHERAPIST to take 20% off your order.MUSIC: Thanks to Joey Pecoraro for our song, “Half Awake,” used with gratitude & permission.ALL OTHER LINKS HERE. To support this show, please leave a rating & review on Apple, Spotify, or wherever you get your podcasts. Subscribe, like, comment & share via my YouTube channel. Or recommend this to a friend!Learn more about Do No Harm.Take $200 off your EightSleep Pod Pro Cover with code SOMETHERAPIST at EightSleep.com.Take 20% off all superfood beverages with code SOMETHERAPIST at Organifi.Check out my shop for book recommendations + wellness products.Show notes & transcript provided with the help of SwellAI.Special thanks to Joey Pecoraro for our theme song, “Half Awake,” used with gratitude and permission.Watch NO WAY BACK: The Reality of Gender-Affirming Care (our medical ethics documentary, formerly known as Affirmation Generation). Stream the film or purchase a DVD. Use code SOMETHERAPIST to take 20% off your order. Follow us on X @2022affirmation or Instagram at @affirmationgeneration.Have a question for me? Looking to go deeper and discuss these ideas with other listeners? Join my Locals community! Members get to ask questions I will respond to in exclusive, members-only livestreams, post questions for upcoming guests to answer, plus other perks TBD. ★ Support this podcast on Patreon ★

Shannon Davis, a Registered Dietitian Nutritionist with more than 19 years of experience specializing in metabolic health and insulin resistance. She's a founding board member of the American Diabetes Society, an Insulin IQ Coach, and the founder of a successful virtual metabolic health practice where she's helped nearly a thousand people reverse insulin resistance, lose weight, and even put type 2 diabetes into remission. Shannon's background spans dialysis, organ transplant, bariatrics, and pharmaceutical sales — giving her a unique perspective on why food, not medication, is the real solution to most dietary conditions. She's been featured on over 50 podcasts as an expert in metabolic health, and when she's not helping people transform their lives, you'll find her in the gym doing CrossFit or spending time riding horses — her lifelong passion. Instagram: https://www.instagram.com/sldavis6580 X: https://x.com/fittoeat6580 YouTube: https://youtube.com/@shannondavis1619 Facebook: https://www.facebook.com/shannon.davis.9279 Website: https://shannonfeelgreat.com/ Timestamps: 00:00 Trailer 00:53 Introduction 05:31 Renal care challenges and ethics 09:11 Kidney health and low-carb diets 10:41 Keto and kidney care 13:44 Dialysis conflict of interest 18:39 Diabetes advocacy and carnivore 21:16 Ketogenic diets and diabetes 24:02 Preventing heart disease 28:16 Diet wars and social media 31:26 Better living through medication 34:04 Platform censorship frustrations  37:14 Grassroots health movement challenges 42:51 AI transforming pharmaceutical marketing 43:30 Drug industry priorities  49:16 Low carb diet and cholesterol 50:29 Where to find Shannon 53:43 United in the fight Join Revero now to regain your health: https://revero.com/YT Revero.com is an online medical clinic for treating chronic diseases with this root-cause approach of nutrition therapy. You can get access to medical providers, personalized nutrition therapy, biomarker tracking, lab testing, ongoing clinical care, and daily coaching. You will also learn everything you need with educational videos, hundreds of recipes, and articles to make this easy for you. Join the Revero team (medical providers, etc): https://revero.com/jobs ‪#Revero #ReveroHealth #shawnbaker  #Carnivorediet #MeatHeals #AnimalBased #ZeroCarb #DietCoach  #FatAdapted #Carnivore #sugarfree Disclaimer: The content on this channel is not medical advice. Please consult your healthcare provider.

Mike O'Keefe, Head of Sales & Customer Success at Immunefi, sat down with me at Chainlink SmartCon to discuss how Immunefi's security solutions are helping protect crypto assets for a wide range of companies. Brought to you by

In this week's Behind The Scenes episode of The FasterFreedom Show, Sam walks through the creation of his newest low-ticket real estate investing program—a high-value, affordable platform built to give beginners everything they need to get started the right way.He breaks down why he wanted to build something that massively overdelivers, how the new Skool setup allowed him to level up the experience, and why he packed it with real educational videos, weekly training calls, and step-by-step guidance. You'll hear how this program fits into the broader FasterFreedom ecosystem, why it's the perfect starting point for new investors, and how offering accessible education creates long-term wins for both students and the brand.From simplifying the early learning curve to creating a community built around real progress, this episode gives a practical, behind-the-scenes look at what it takes to design an entry-level program that still delivers expert-level results.FasterFreedom Capital Connection: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://fasterfreedomcapital.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Free Rental Investment Training: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://freerentalwebinar.com⁠⁠⁠⁠⁠⁠⁠⁠⁠

AI is reshaping the tech landscape, but a big question remains: is this just another platform shift, or something closer to electricity or computing in scale and impact? Some industries may be transformed. Others may barely feel it. Tech giants are racing to reorient their strategies, yet most people still struggle to find an everyday use case. That tension tells us something important about where we actually are.In this episode, technology analyst and former a16z partner Benedict Evans joins General Partner Erik Torenberg to break down what is real, what is hype, and how much history can guide us. They explore bottlenecks in compute, the surprising products that still do not exist, and how companies like Google, Meta, Apple, Amazon, and OpenAI are positioning themselves.Finally, they look ahead at what would need to happen for AI to one day be considered even more transformative than the internet.Timestamps: 0:00 – Introduction 0:17 – Defining AI and Platform Shifts1:50 – Patterns in Technology Adoption6:04 – AI: Hype, Bubbles, and Uncertainty13:25 – Winners, Losers, and Industry Impact19:00 – AI Adoption: Use Cases and Bottlenecks24:00 – Comparisons to Past Tech Waves32:00 – The Role of Products and Workflows40:00 – Consumer vs. Enterprise AI46:00 – Competitive Landscape: Tech Giants & Startups51:00 – Open Questions & The Future of AIResources:Follow Benedict on LinkedIn: https://www.linkedin.com/in/benedictevans/ Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.