Podcasts about ai training

Headlines: – Welcome to Mo News (02:00) – Lindsay Clancy Jurors Looked 'Exasperated' Before Telling Judge They're Deadlocked (06:15) – Warning Signs Were Visible Ahead of Nepal-China Floods, Report Says (13:30) – USPS Whistleblower Warns New Ballot System Could Fail (18:00) – US Military Has No Plans To Send Troops To The Polls In November ~ Top General (22:00) – Massachusetts Primary Election: Markey Vs. Moulton (23:30) – U.S. Targets Iran in Fresh Wave of Strikes (26:00) – Music Artists Sue AI Song Generator Suno Over Alleged Copycats (31:00) – Sony, Warner Music Sue Anthropic Over Songs Used in AI Training (34:45) – Tennis Players Using Surprising Hack To Fight Cramps US Open: Pickle Juice (36:00) – On This Day In History (40:20) Thanks To Our Sponsors:  – Monarch - 50% off your first year | Code: MONEWS – Factor - 50% off your first box | Code: monews50off –⁠ Industrious⁠ - Coworking office. 50% off day pass | Code: MONEWS50 – LMNT | Free Sample Pack with any LMNT drink mix or 12oz cans purchase – ⁠Boll & Branch⁠ – 20% off first order, plus free shipping | Code: MONEWS

Welcome back to the HX Podcast, where we are diving deep, deep into the intersection of human experience and AI. Today, I'm reporting as your on-the-street reporter on a silent productivity killer creeping into our teams: "work slop"—AI output that looks finished on the surface but is actually riddled with mistakes. Workers are losing a massive chunk of their time savings, up to two hours of rework per incident, trying to fix these AI-generated blunders. But let's be clear—this isn't a character issue with your staff; it's a design issue. With only 13% to 26% of organizations providing formal AI training, we've handed our teams powerful tools without a manual, forcing them to build exhausting, hidden workarounds just to get the job done. In this episode, we're reframing that hidden tax of rework as the training investment you simply haven't made yet. I'm sharing a simple, three-step handoff protocol that any team can adopt by Monday to close this proficiency gap and make AI speed sustainable. We will walk through why an AI draft is never the final artifact, how a named human reviewer can utilize a quick checklist, and why logging AI misses is the key to sharpening your training over time. Don't let AI run loose like an unsupervised intern. Tune in, grab our one-page protocol PDF in the link below, and let's explore how humans help humans do better, faster, and smarter work every single day! Stacie To find the tools and resources mentioned in each episode, head over to www.thehxcoach.com and start closing the capture gap in your organization today. For more episodes, visit StacieBaird.com.

How did prompt engineering die so quickly? ☠️And what the heck does context engineering even mean? One of the trickiest things about LLMs is they're changing daily, yet they're the engines that drive business results. But if the engine is constantly changing, then you also have to change how you drive and the roads you take. That's why we're tackling context engineering in this installment of our Start Here Series, the essential beginners guide to understanding AI basics and growing your skills. Context Engineering: How to Get Expert-Level Outputs From AI Chatbots -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Evolution from Prompt to Context EngineeringWhy Prompt Engineering Is Now ObsoleteDefining Context Engineering in AI ChatbotsSix-Part Framework for Context EngineeringFour Layer System for Structuring AI ContextBuilding Reusable Context Vaults and SkillsConnecting Business Data to AI ModelsTechniques to Achieve Expert-Level AI OutputsImportance of Context Windows in Large Language ModelsContext Engineering Best Practices and ScalabilityTimestamps:00:00 "Access AI Community & Tools"03:08 "Mastering Context in AI"07:23 "Smart Models Require Less Precision"12:01 "Context Engineering Beats Prompt Engineering"15:49 "AI Context: Six Key Blocks"16:47 "Building Context for Better Results"19:53 "AI: Training, Not Easy Button"25:17 "Chain of Thought Prompting Decline"29:11 "Show, Don't Tell Techniques"32:13 "Context, Reuse, and Scalable Systems"33:19 "AI Chatbots: Memory and Skills"Keywords: context engineering, AI chatbots, expert level outputs, prompt engineering, large language models, business context, AI models, custom instructions, data access, context window, prime prompt polish, reusable context vaults, context vaults, skills file, memory enabled models, ChatGPT, Claude, Google Gemini, Microsoft Copilot, connectors, apps, searchable index, business data, personalized AI, context clues, reference material, examples, procedures, evaluation rubric, chain of thought prompting, generative AI, nondeterministic behavior, show don't tell technique, few shot examples, rubric first technique, grading criteria, output quality, scalable AI systems,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

OpenAI paused reinforcement learning on its most advanced models over cybersecurity concerns, saying its next model may cross a critical capability threshold. Paul's read: the labs aren't removing dangerous behaviors, they're suppressing them and suppressed behaviors can come back. Also this week: a very public argument over Anthropic's direction as it heads toward a possible $2 trillion IPO, Pennsylvania's crackdown on data centers, Nvidia's Ohio AI factory play, new Pew data on young Americans souring on AI, and humanoid robots in Beijing breaking records set by Usain Bolt. AI-Pulse Survey: Fill out this week's AI-Pulse Survey here. Show Notes: Access the show notes and show links here Timestamps: 00:00:00 — Intro 00:06:44 — OpenAI Pauses Some Frontier AI Training Due to Cybersecurity Concerns 00:19:25 — Debate Over Anthropic Intensifies Ahead of IPO 00:33:43 — Pennsylvania Leads Increasing State Opposition to Data Centers 00:48:19 — Jensen's AI Factory Manifesto 00:54:15 — AI Job Loss Hits Young Adults 00:58:53 — Andrew Yang Pushes for Direct Payments to Americans, Paid for by AI 01:01:39 — OpenAI and Anthropic Rethink Data Retention 01:04:48 — Chinese Robots Break Human World Records 01:09:57 — AI Use Case Spotlight 01:18:45 — AI Product and Funding Updates This week's episode is brought to you by MAICON, our 6th annual Marketing AI Conference, happening in Cleveland, Oct. 13-15. The code POD100 saves $100 on all pass types. For more information on MAICON and to register for this year's conference, visit www.MAICON.ai. Visit our website Receive our weekly newsletter Join our community: Slack Community LinkedIn Twitter Instagram Facebook YouTube Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy 

In today's MadTech Daily, we discuss Amazon being sued over its use of Twitch streamers' videos to train AI models, UK digital infrastructure investment reaching dot-com era levels amid the AI data center boom, and Shein preparing to debut in Hong Kong at a valuation well below earlier expectations.

Abrar Al-Heeti of CNET joins the show to talk about her review of the Pixel 11 Pro Fold, Meta's smart glasses are slowly becoming a concern in the workplace, and Amazon is destroying rare books & utilizing them as AI training data. Abrar Al-Heeti shares her review of the Pixel 11 Pro Fold, noting how foldables have become nearly indistinguishable in size from standard phones like the iPhone 17 Pro Max, and shares a look at its camera, battery, and new software features like Pause Point. Mikah shares an article published by The Verge that looks into how retail workers, tourism employees, and comedians describe being secretly recorded by Meta Ray-Ban wearers on the job. And 404 Media's Emanuel Maiberg joins the show to share his investigation into Amazon buying and shredding rare, out-of-print books to scan them as AI training data, and how a legal ruling in Anthropic's book-piracy case made destroying the originals advantageous. Hosts: Mikah Sargent and Abrar Al-Heeti Guest: Emanuel Maiberg Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: box.com/AI cirasync.com/TNW

Abrar Al-Heeti of CNET joins the show to talk about her review of the Pixel 11 Pro Fold, Meta's smart glasses are slowly becoming a concern in the workplace, and Amazon is destroying rare books & utilizing them as AI training data. Abrar Al-Heeti shares her review of the Pixel 11 Pro Fold, noting how foldables have become nearly indistinguishable in size from standard phones like the iPhone 17 Pro Max, and shares a look at its camera, battery, and new software features like Pause Point. Mikah shares an article published by The Verge that looks into how retail workers, tourism employees, and comedians describe being secretly recorded by Meta Ray-Ban wearers on the job. And 404 Media's Emanuel Maiberg joins the show to share his investigation into Amazon buying and shredding rare, out-of-print books to scan them as AI training data, and how a legal ruling in Anthropic's book-piracy case made destroying the originals advantageous. Hosts: Mikah Sargent and Abrar Al-Heeti Guest: Emanuel Maiberg Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: box.com/AI cirasync.com/TNW

Get the fanciest Ryzen 9 without a lid, Intel appears to be looping back on their naming CPUs and Arc squeaks out more performance (sometimes), CoPilot assists in "hacking" itself, your Twitch streams might be training AI, and Epic appears to be coming to Linux.  It's the year of Linux, Am I Right(tm)? or what?   All that and way to much for this 5Lb bag again.Timestamps:00:00 Intro02:29 Patreon03:17 Food with Josh05:02 News begins - Intel might Haswell name their new CPU the 4950K06:34 You can now buy a de-lidded 9950X3D2 with a warranty07:53 VRAM compression with Arc on Linux?11:22 Microsoft's rebrand registry14:28 Microsoft working on Windows 11 context menu15:50 Intel, money motivated, may make more memory memories21:44 Twitch ai training is opt-out, because no one would opt-in26:47 Fairphone Gen 6 Plus arrives in USA28:51 (In)Security Corner40:48 Gaming Quick Hits50:10 Josh reviews MOZA CS Pro and R9 V31:03:06 Picks of the Week1:16:19 Outro ★ Support this podcast on Patreon ★

In this episode, Saswat Panigrahi, Waymo's CPO, joins me for the third conversation in the "Inside PM" series. Saswat joined Waymo in 2016, back when it was still Google's self-driving car project and the entire product team was fewer than five people, and has spent all ten years since on the same product. In this episode, we discuss how his product org had to invent its own way of measuring good when there was no dashboard to check, why he hires and promotes for competence, courage, and compassion, and what it takes to be an executive builder at Waymo.–Key topics:• Cutting severe injuries "sixteen-fold"• Why measuring good driving became its own product, staffed by dedicated eval PMs• Why specifying what good looks like is AI's hardest problem• Injecting rain and fog into simulated scenes instead of waiting a decade for the real thing• The living room pitch to Waymo's first driverless riders• Avoiding "Brownian motion": channeling vision into tracks a team can actually execute• Spotting curiosity and grit in candidates in the age of AI• Training to the point of failure–Timestamps:00:00 Introduction03:25 Joining Google's self-driving car project before it was Waymo07:15 Why "feeling the pain" of failures builds real product leadership08:56 Motivating a team a decade away from a real product14:38 Was there ever a moment you thought this wouldn't work16:15 Why measuring "good" driving became its own product, staffed by dedicated eval PMs18:55 The living room pitch to Waymo's first driverless riders21:11 Confronting the 40,000 deaths US roads accept every year23:46 Cutting severe injuries "sixteen-fold"27:59 Training to the point of failure33:27 Spotting curiosity and grit in candidates in the age of AI37:14 Integrity, and sleeping at night over what you approved41:02 A tree of metrics, not a union list of 37 dashboards47:14 Competence, courage, and compassion: what builds followership53:53 What AI has democratized for product discovery and research57:41 Why specifying "what good looks like" is AI's hardest problem–Brought to you by:• Firecrawl—the web data API for AI agents. Use code THESKIP for 10K free credits• Jira—Do the right work with Jira–Referenced:• AMD• Edwin Markham's poem on preparedness• Google X• Inside PM at Meta• Inside PM at Stripe• MMLU• NASA• Piccadilly Circus• Transformers• Waymo–Where to find Nikhyl:• Twitter/X• LinkedIn–Where to find Saswat:• Twitter/X• LinkedIn–Join The Skip:• Skip Coach• Skip Community–Find The Skip:• Website• Substack• YouTube• Spotify• Apple Podcasts–Don't forget to subscribe to The Skip to hear me coach you through timely career lessons. Access exclusive sessions from 100+ top product leaders at skip.coach. If you're interested in joining me on a future call, send me a note on LinkedIn, Threads, or Twitter. You can also email me at nikhyl@skip.community This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit theskip.substack.com

Abrar Al-Heeti of CNET joins the show to talk about her review of the Pixel 11 Pro Fold, Meta's smart glasses are slowly becoming a concern in the workplace, and Amazon is destroying rare books & utilizing them as AI training data. Abrar Al-Heeti shares her review of the Pixel 11 Pro Fold, noting how foldables have become nearly indistinguishable in size from standard phones like the iPhone 17 Pro Max, and shares a look at its camera, battery, and new software features like Pause Point. Mikah shares an article published by The Verge that looks into how retail workers, tourism employees, and comedians describe being secretly recorded by Meta Ray-Ban wearers on the job. And 404 Media's Emanuel Maiberg joins the show to share his investigation into Amazon buying and shredding rare, out-of-print books to scan them as AI training data, and how a legal ruling in Anthropic's book-piracy case made destroying the originals advantageous. Hosts: Mikah Sargent and Abrar Al-Heeti Guest: Emanuel Maiberg Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: box.com/AI cirasync.com/TNW

Abrar Al-Heeti of CNET joins the show to talk about her review of the Pixel 11 Pro Fold, Meta's smart glasses are slowly becoming a concern in the workplace, and Amazon is destroying rare books & utilizing them as AI training data. Abrar Al-Heeti shares her review of the Pixel 11 Pro Fold, noting how foldables have become nearly indistinguishable in size from standard phones like the iPhone 17 Pro Max, and shares a look at its camera, battery, and new software features like Pause Point. Mikah shares an article published by The Verge that looks into how retail workers, tourism employees, and comedians describe being secretly recorded by Meta Ray-Ban wearers on the job. And 404 Media's Emanuel Maiberg joins the show to share his investigation into Amazon buying and shredding rare, out-of-print books to scan them as AI training data, and how a legal ruling in Anthropic's book-piracy case made destroying the originals advantageous. Hosts: Mikah Sargent and Abrar Al-Heeti Guest: Emanuel Maiberg Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: box.com/AI cirasync.com/TNW

The fastest way to lose your privacy in 2026 is to assume the default settings are on your side. We start with a big question that's about to hit schools and workplaces hard: can AI watermarking actually prove a piece of writing was generated by a model? Anthropic says yes, using a subtle “fingerprint” inside the text itself, built through token steering and patterned word choices. We walk through how it works, why it's different from metadata labels, and where it can go wrong, especially when false positives turn into real consequences.Next, we get practical and blunt about online safety. The FBI is warning that criminals are breaking into accounts to steal private photos and then using them for sextortion, harassment, and resale. We talk through what the attackers look for, why public visibility makes student athletes a target, and what actually reduces your risk: strong passwords, multi-factor authentication, and keeping sensitive content out of accounts that can be compromised.Then we bring back our listener-favorite letters segment and read real scam emails, because nothing sharpens your instincts like seeing the tricks up close. We break down “support ticket” bait designed to push you into granting remote access, a surprisingly smart security-themed email that hides a malware download behind a “read more” link, and a fake Facebook lookalike domain that's almost impossible to notice at a glance. Mike the AI guy caps it off with a rant you'll want to hear about Twitch and Amazon training generative AI on streams and chat logs unless you find the buried opt-out.If you like smart tech news, scam breakdowns, and privacy talk with a whiskey pairing, hit subscribe, share the show with a friend who clicks too fast, and leave us a review so more people can find TechTime Radio.Send us Fan MailSupport the show

Twitch has quietly started using its users' content to help train Amazon AI models. While there is an option to opt out of this, Twitch doesn't really explain how to do it. DO THE SCIENCE AND PROTECT YOURSELF. OPT OUT OF THIS NOW!

This week's episode of the Be More Today show features Physical Therapists Dr. John Ribeiro and Dr. Joe Rivieccio, co-founders of the AI training app Forge. Join us as we discuss how the AI movement coach Forge adjusts in real time, why the app uses personalized training opposed to templates, and why making Forge affordable for all is so important to its founders.Click on the link below for a free month trial with the Forge app: https://app.forge-movement.com/?ref=bemoretodayFor more information visit www.bemoretoday.com.

News Sources: https://lmg.gg/Vib61 Timestamps: 0:00 Twitch opts users into AI training 1:37 Saber Interactive AI allegations 3:31 Elder Scrolls 6 and the Bethesda rat protest 5:35 QUICK BITS INTRO 6:02 Stop Killing Games joins Sony lawsuit 7:07 Pokemon cutting off Pokemon Bank 7:51 Lord of the Rings: War in the North Legacy Edition 8:26 Destiny 2 Project Sunrise mod 9:05 Big Walk sells a million copies 9:50 Credits Learn more about your ad choices. Visit megaphone.fm/adchoices

Check out our Patreon for a daily Lawrence Select™ Meme: https://www.patreon.com/insidegamesYTJoin the Inside Games notification Discord server for alerts when we publish new videos: http://discord.gg/ArvphbMPFJHosted by:Lawrence: http://twitch.tv/sirlarr | Bruce: http://twitch.tv/brucegreene Edited by: Shooklyn: https://linktr.ee/ShooklynSources --https://www.videogameschronicle.com/news/if-it-was-opt-in-nobody-would-opt-in-twitch-is-using-streamers-content-to-train-generative-ai-by-default/https://thisweekinvideogames.com/news/saber-interactive-acknowledges-undisclosed-genai-use-in-rideshare-stimulator-denies-replacing-lead-writer-with-chatgpt/

In this episode of Entertainment Law Update, Gordon Firemark and Tamera Bennett discuss another month of important legal developments affecting creators, entertainment professionals, copyright owners, media companies, and intellectual property lawyers. Episode Highlights German Court Rules on AI Training … Read the rest The post Bubble Lamps and Ice Cream Cones – Entertainment Law Update 193 appeared first on Entertainment Law Update.

A bottle of red... A bottle of white.. Mist finally sates his appetite.    Cast Rohtan - Adam Devi - Amanda Mist - Mike DM and Producer - Diana  dianadely on Bluesky   Original Music by Adam - Used with permission. Sound effects and soundscapes by Syrinscape.com. and Freesounds.org Freesounds.org sounds used under the Creative Commons License. Like what you hear? Support us on our Patreon. www.patreon.com/multiclasstheater No part of this recording may be used for AI Training. 

In this episode, Ian Coe, Co-founder and CEO of Tonic.ai, joins us at Heavybit DevGuild.Ian explains how Tonic started by helping developers create safe, realistic data for testing and development, and how that has expanded into AI model training, de-identification, and synthetic datasets for reinforcement learning.We discuss structured vs. unstructured data, healthcare and financial services use cases, Tonic Fabricate, Tonic Textual, fine-tuning, RL environments, and why enterprises are becoming more interested in training models on their own data.LinksIan Coe's LinkedInTonic.aiTonic FabricateTonic TextualTonic BlogHeavybit DevGuild

Most organizations think they have an AI tool problem. They do not. They have an AI behavioral problem. The licenses get bought, the workshops happen, and by Monday morning, people are back to working exactly as they did before.This episode is sponsored by Deel.Hire, manage, and pay anyone, anywhere: https://www.deel.com/nickdayhr/In this episode of @thehrldpodcast Nick Day is joined by Jamie Bykov-Brett, an AI transformation strategist, TEDx speaker, and co-founder of the Executive AI Institute. Jamie's path into AI started in youth work, supporting young people from marginalized backgrounds into STEM careers. It was there, back in 2014, that he began forecasting how automation would reshape the workforce, discovering along the way that technology adoption rarely fails because of the tools themselves; it fails because people were never taken through the change. That change management lens is exactly what he brings to AI training and organizational transformation today.Nick and Jamie explore why one-off AI workshops rarely create lasting behavior change, and why real transformation starts with human-centric skill development, not the tools. They unpack the "eliminate, automate, delegate" framework for deciding where AI actually belongs in a workflow, why psychological safety is the missing ingredient in most AI rollouts, and how legacy failed change projects can quietly sabotage adoption before training even begins. They also dig into why your most resistant employees might be your best future change agents, why highly technical people sometimes struggle most with AI adoption, why organizations should expect a temporary dip in performance during rollout rather than instant ROI, and what it actually looks like to design an AI learning intervention that turns AI into a daily working habit rather than a novelty.In a world where organizations are under pressure to prove AI adoption is working immediately, this episode makes the case that the real barriers were never technical. They are emotional, cultural, and behavioral, and the organizations that address that will be the ones that actually get results.A must-listen for HR leaders, L&D professionals, and anyone responsible for making AI adoption actually stick inside their organization.Enjoyed this? Check out our sister podcast @thepayrollpodcast for more great content!Guest and Host:Jamie Bykov-Brett's LinkedIn: https://www.linkedin.com/in/jamiebykovbrett/Jamie Bykov-Brett's Website: bykovbrett.netNick Day's LinkedIn: https://www.linkedin.com/in/nickday/Find your ideal candidate with our job vacancy system: https://jgarecruitment.ck.page/919cf6b9eaSign up to the HR L&D Newsletter: https://jgarecruitment.ck.page/23e7b153e7Stay tuned for the next episode of the HR L&D Podcast, brought to you by Nick Day, CEO at JGA Recruitment, landing soon!Timestamps:(00:01) Why AI Training Fails: The Behavior Problem, Not a Tool Problem(03:27) Jamie's Journey: From Youth Work to AI Transformation Strategist(09:05) The AI Adoption Gap: Rising HR Burnout Despite AI Investment(10:47) AI as a Mirror: Why Technology Reflects Your Organization's Culture(14:30) Human-Centric Skills First: Curiosity, Creativity and Critical Thinking(20:31) The Eliminate, Automate, Delegate Framework(23:09) Designing AI Interventions That Actually Fit Your Organization(27:43) Turning Resistant Employees Into Change Agents(33:11) The Hidden Fears Driving AI Resistance(37:03) Case Study: How Insights Achieved a 9.7 NPS on AI Training(39:59) Why L&D Should Expect a Performance Dip Before AI Pays Off(45:43) Rapid Fire: Career Advice, Leadership, and HR's Future

What belongs at the beginning of your book? Brad and Dave discuss whether an anti-AI statement offers creators any meaningful protection, break down the information that belongs on a copyright page, and explore the many ways cartoonists can approach the first page of a story or chapter. The best opening isn't determined by a universal rule—it should establish the right expectations, reflect the story you're telling, and give readers a reason to keep going. Topics include: Skunk Watch 2026 Do anti-AI statements offer creators legal protection? Why a standard copyright notice may already cover AI training The difference between creating, declaring, and registering a copyright What information belongs on a copyright page Copyright and trademark ownership When to use ™ and when to use ® Print location, printing numbers, and edition information ISBNs and Library of Congress numbers Combining copyright, title, credit, and dedication pages Should a comic begin with a splash page? Does the main character need to appear on page one? Using the opening page to establish tone and make a promise to the reader Why different stories require different kinds of openings Brad's two-page system for beginning a new Evil Inc chapter Creating separate covers for SFW and NSFW editions Using chapter openers as archive markers, promotional art, and production buffers Dave's approach to prologues, chapter openings, and world-building vignettes The difference between the first page and the first chapter ComicLab LIVE at the National Cartoonists Society Reuben Awards You get great rewards when you join the ComicLab Community on Patreon$2 — Early access to episodes$5 — Submit a question for possible use on the show AND get the exclusive ProTips podcast. Plus $2-tier rewards.If you'd like a one-on-one consultation about your comic, book it now!Brad Guigar is the creator of Evil Inc and the author of The Webcomics Handbook. He is available for personal consultations. Dave Kellett is the creator of Sheldon and Drive. He is the co-director of the comics documentary, Stripped.

What if your next dental conference made space for every voice regardless of what's in your cup or your tech know-how? This episode dives into the real stories and innovative ideas behind building meaningful community, whether you're leading from the front or finding your own lane as an “intrapreneur.” Anne Duffy sits down with Laura Nelson, VP of AI Training and Development at Mango Voice and founder of both Front Office Rocks and Sober Life Rocks. Together, they unpack why connection is a game-changer for dental professionals, what inspired the movement toward normalized sober choices at industry events, and how DeW is creating space for all women. Laura shares her path from grassroots leadership to creating practical, non-judgmental resources that help bridge the AI learning gap, plus her mission to ensure no one feels left out at conferences. You'll also hear practical mindset shifts for showing up, asking for help, and letting your network support you, no matter where you are in your career. What You'll Learn in This Episode: How DeW (Dental Entrepreneur Woman) cultivates opportunity through connection Why visible sober choices can transform professional events and relationships Steps you can take, as a leader or team member, to show up authentically How Sober Life Rocks is improving belonging and conversation in dentistry Fresh approaches to integrating AI into your dental practice The importance of practical, judgment-free AI training and where to begin Real-life stories of leading through uncertainty and embracing community support How to rethink networking so that everyone feels included Courageous lessons on asking for help and building your own support system Listen now for stories and advice that will help you lead, connect, and grow in dentistry and beyond. Learn More About Laura Nelson Here! Brush Up on AI Facebook Group: https://www.facebook.com/groups/brushuponai Sober Life Rocks: https://soberliferocks.com/ Front Office Rocks: https://frontofficerocks.com/ Laura's Book "Brush Up On AI": https://a.co/d/01EWopqK Ready to be part of a movement of women shaping the future of dentistry? Join Dental Entrepreneur Woman for masterminds, education, exclusive events, and a supportive community designed to help you grow, lead, and leave your mark on the industry. Become a member at: https://dew.life/membership/ Mentions & Links: Events: The DeW Life Retreat Tools: Gallup CliftonStrengths (2.0) Organizations: Mango Voice People: Margie Schaller Brandi Marzolino Kristie Boltz Tarryn MacCarthy Victoria Peterson

AI becomes valuable when it helps people do their real work, not when it simply becomes another tool to manage. In this episode of Grounding AI, Donna Peterson welcomes Aya Takase, Head of Global Marketing Communications at Rigaku and Vice President of AI Operations, for a practical conversation about helping employees adopt AI in ways that improve communication, decision making, and everyday work. Instead of discussing the latest AI trends, Donna and Aya focus on real business challenges: How busy professionals can start using AI today Why marketers are often the best people to lead AI adoption How to review AI-generated content before publishing it Why companies don't need dozens of AI tools How internal AI champions can help entire organizations learn faster Why understanding your business is more important than understanding AI Whether you work in manufacturing, industrial marketing, an association, or another B2B industry, you'll leave with practical ideas you can begin using immediately. At World Innovators, we believe AI should strengthen communication, support business strategy, and help companies build stronger relationships with their audiences. This conversation demonstrates exactly how thoughtful AI adoption can support those goals. Subscribe for weekly conversations about practical AI for business leaders. *** Reach out to dpeterson@worldinnovators.com if you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.com for more resources on building stronger marketing and leadership strategies.*** Subscribe to the Grounding AI podcast for weekly insights into marketing, leadership, and the future of AI.

In this episode of FP&A Unlocked, host Paul Barnhurst sits down with Albert Lee, FP&A leader, AI finance coach, and corporate trainer, to explore how artificial intelligence is transforming the finance profession. Albert shares practical insights from implementing AI in corporate finance, coaching CFOs, and training finance teams on responsible AI adoption.Albert Lee is an FP&A leader, AI finance coach, and corporate trainer with over 13 years of experience helping finance teams embrace AI and automation. He has led FP&A functions across multinational organizations, including Merlin Entertainments and The Cookware Company, driving forecasting, profitability modeling, and process improvements across APAC. Today, Albert coaches CFOs and finance leaders through the AI Finance Club while delivering AI training for global organizations and professional finance communities.Expect to Learn:Why AI should be your finance copilotHow to build trusted AI workflowsWhen to use AI vs. Power QueryBest practices for secure AI adoptionKey skills for the future of FP&AHere are a few relevant quotes from the episode:"A strong analyst using AI becomes much stronger. A weak analyst using AI simply makes mistakes faster." - Albert Lee"The best FP&A professionals don't just explain the numbers, they explain what they mean and what should happen next." – Albert LeeAlbert Lee shares practical insights on using AI to enhance FP&A without sacrificing governance, accuracy, or human judgment. He reminds finance professionals that while AI can dramatically improve productivity, true business value comes from combining the right technology with strong data practices, critical thinking, and trusted business partnerships.Follow Albert:Website - https://axiomfpa.com/LinkedIn - https://www.linkedin.com/in/albert-lee-fcpa-869478118/Earn Your CPE Credit For CPE credit, please go to earmarkcpe.com, listen to the episode, download the app, answer a few questions, and earn your CPE certification. To earn education credits for the FPAC Certificate, take the quiz on earmark and contact Paul Barnhurst for further details.In Today's Episode[00:00] – Trailer[02:14] – Meet Albert Lee[03:34] – Why Copilot?[05:27] – AI Automation Journey[09:47] – AI Training & Coaching[19:51] – AI Challenges[23:50] – AI Workflows[28:18] – AI Governance[31:23] – AI's Strengths & Limits[39:40] – Career Advice & Wrap-up

Leighton Healey of KnowHow shares his insights on AI, training, company culture, and building stronger teams in the restoration industry.

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop speaks with Ekaterina Matveeva, founder of Amolingua and Lingo Plus and co-organizer of AI roundtables with EcoCivilization. The conversation covers a wide range of AI-related topics, from the cultural implications of AI development across different countries to the evolution of Ekaterina's perspective on artificial intelligence—moving from initial anger and fear in 2023 to active participation in AI model design by 2025. They discuss the importance of including diverse cultural perspectives in AI training, the cross-country differences in AI regulation (comparing Argentina's human-out-of-the-loop approach to Europe's cautious stance), and the critical question of which sectors need humans in the decision-making loop. The discussion ventures into brain-computer interfaces and Neuralink, examining what happens when technology is removed and questioning whether healthy humans should pursue such enhancements, before touching on the future of personal AI models and the preservation of indigenous wisdom in AI training. You can connect with Ekaterina on LinkedIn to follow her work on AI, education, and cross-cultural technology development.Timestamps00:00 Stewart welcomes Ekaterina Matveeva, founder of Amolingua and Lingo Plus, discussing her work organizing AI roundtables with EcoCivilization05:00 Ekaterina shares her evolution from anger toward AI in 2023 to realizing collaboration potential, emphasizing importance of multicultural perspectives in AI development and training10:00 Discussion of Argentina's new AI liability bill creating human-out-of-loop systems, contrasting with Europe's human-in-loop requirements and different global regulatory approaches15:00 Safety considerations in robotics and AI development, comparing industrial automation standards across regions and discussing Pentagon's use of Anthropic with Palantir systems20:00 Exploring brain-computer interfaces and Neuralink developments, questioning enhancement versus necessity and examining motivations behind cognitive augmentation technologies25:00 Debating human capabilities beyond cognitive function, discussing nervous system, emotions, psychosomatics, and whether brain generates or receives thoughts30:00 Examining societal divisions from enhancement technologies, referencing Avatar and Years and Years series, questioning benefits for healthy individuals versus disability applications35:00 Discussing technological gaps between enhanced and standard populations, concerns about corporate seduction into cybernetic modifications, and lack of long-term safety studies40:00 Questioning who frames AI conversations and trains models, exploring dominant worldviews embedded in AI systems and Vatican-Anthropic collaboration implications45:00 Stewart shares mistakes with Facebook biometric data and building personal AI infrastructure, emphasizing importance of controlling your own models and data50:00 Analyzing whether massive data collection actually improves AI training, questioning if user conversations become buried garbage rather than meaningful model improvements55:00 Ekaterina discusses plans for organizing more roundtables, integrating indigenous wisdom into AI training, and connecting on LinkedIn for future collaborationsKey Insights1. Ekaterina Matveeva's perspective on AI has evolved significantly since 2023, moving from initial anger and fear about AI's impact on education and translation work to becoming actively involved in AI development and training. She realized that instead of resisting AI advancement, she could participate in shaping it by contributing her expertise in education, language, and cross-cultural communication. This shift represents a broader realization that diverse participation in AI development is crucial for creating more versatile and culturally sensitive models rather than allowing a monopoly of values from any single country or culture.2. The conversation highlights fundamental differences in AI regulation across regions, with Europe implementing human-in-the-loop requirements and comprehensive safety measures, while Argentina is reportedly creating frameworks for human-out-of-the-loop AI systems with limited liability. The United States falls somewhere between these approaches, pursuing rapid advancement with fewer regulatory constraints. These divergent approaches reflect different cultural values and priorities, raising important questions about whether AI development should prioritize efficiency and profit or human oversight and control in critical infrastructure sectors.3. Both speakers express concern about brain-computer interfaces like Neuralink, questioning the motivation behind enhancing cognitive abilities when humans already possess multiple forms of intelligence including emotional, cultural, and bodily intelligence. The primary applications demonstrated so far appear limited to video games and potentially military applications, raising questions about whether the technology serves genuine human needs or merely represents an attempt to compete with robots. The speakers emphasize that humans are already complete beings with sophisticated nervous systems, senses, and capabilities that extend far beyond cognitive processing.4. A critical insight emerges around the question of what happens when advanced technologies are removed or turned off. This applies both to brain-computer interfaces and to broader civilization infrastructure dependencies. The speaker shares experiences from 2020 of attempting to live independently in rural California, discovering the challenges of isolation and self-sufficiency. This relates directly to concerns about creating dependencies on technologies where the software ownership and control remain unclear, particularly when those technologies become integrated into human bodies or essential services.5. The discussion reveals concerns about increasing societal division based on access to enhancement technologies. Beyond existing financial inequalities, the speakers worry about a future where people who can afford biological and technological enhancements will advance rapidly while others are left behind. This isn't about disadvantaging certain groups but rather about creating an unbridgeable gap between enhanced early adopters and what they call standard populations who may be intelligent people maintaining traditional ways of life but lacking access to expensive enhancement technologies.6. Matveeva emphasizes the importance of including diverse cultural perspectives, particularly indigenous wisdom and Buddhist traditions, in AI training data. She argues that current AI models reflect the worldviews, values, and hierarchies of their predominantly Western designers, which influences the guidance these models provide to users worldwide. By incorporating wisdom traditions from various cultures, AI models could potentially become wiser and more culturally adaptive, serving diverse populations more effectively rather than imposing a single cultural framework globally.7. The speakers discuss the problematic nature of data collection and ownership in AI training, noting that massive amounts of user data may not actually be improving AI models as expected. There are indications that some AI companies are now specifically requesting users to help train models on their prompts, suggesting that simply collecting billions of conversations hasn't been as useful as anticipated. This raises questions about whether the data users have given away over the past several years has actually made significant impact or is simply buried in chunks of information that aren't effectively connected to meaningful improvements in AI performance.

Myles Younger, Chief Growth Officer at U of Digital, joins Joe Zappa and Eric Franchi for a wide-ranging conversation about what it takes to grow an adtech business, win enterprise clients and keep pace with an industry changing in real time. Plus, Joe learns what Diageo is, Eric defends his YouTube viewing habits, and the group closes with a rapid-fire round covering ChatGPT, DSPs, SSPs, New York and San Francisco.

Your weekly guide to the music biz and how it all works. This week, Stu and Joe get ready for their summer holidays and punt a beachball at this week's music biz news:How much has controversial secondary-ticketing firm StubHub has just been fined in the UK for illegal ‘drip pricing'? (Also, what is that?)The news seems bit AI-heavy this week, but it's actually all about artists:→ 31 groups representing artists and managers have written an open letter about AI music… but it's not AI companies who it's addressed to…→ AI-music company Suno is giving some money to musicians at last! But there are some strings attached…→ Meanwhile, streaming service Tidal isn't giving ANY money to wholly AI-generated music, according to its new policies on this area.ANY OTHER BUSINESS?→ James Blake has been making friends in the world of music journalism. Hasn't he? Oh.→ And talking of good causes, more than 200 artists have signed an open letter calling for a Fossil Fuel Treaty. So who's signing, and what exactly do they want? (and there is some new advice on how we as music fans can reduce the impact our streaming has on the planet.)AND FINALLY…→ Recommendations of classic, influential hip-hop bangers from a maker of fizzy, lemonade-adjacent drinks.And in the special post-show lock-in section just for our ⁠⁠Patreon Superfans⁠⁠, Stu and Joe prop themselves up at the bar – in this week's bonus material: Can you make money by investing on things mentioned in a Kraftwerk song?A Little Grandad Update - a segment that now has its own jingle! In a section recorded before England get knocked out on penalties / gloriously proceed on penalties against DR Congo, Stu and joe take a look at the successful use of the much-mocked 'hydration break' as a massive singalongThey also venture further into the Official FIFA World Cup Album™ and dare to ask the question: who is iShowSpeed anyway, and why does he have a song?Assorted football songs discussed:IShowSpeed - World Cup (Champions) https://www.youtube.com/watch?v=vrY1THC_NQE&list=OLAK5uy_nsOacWtSBM2kV8c_yjosYwk3hQq1A7-JY&index=19Alejandro Fernández - Mi Mexico Lindo https://www.youtube.com/watch?v=Rk-8wMflT34Belle and Sebastian https://www.youtube.com/watch?v=O8riNobpEyg Peter Beardsley doing the John Barnes rap from "World In Motion" https://www.youtube.com/watch?v=nPh63Y6sSKA===================================As ever, we welcome your feedback, emails and – in particular – any questions you might have about how the music biz works!Email us: ⁠⁠thepriceofmusicpodcast@gmail.com⁠⁠See you next week!Stuart and Joe======TPOM online: http://tpom.uk/Support The Price of Music on Patreon:⁠⁠https://www.patreon.com/ThePriceofMusic⁠⁠Follow Stuart on X - @stuartdredgeFollow The Price of Music on X - @PriceofMusicpodFor sponsorship opportunities, please email - ⁠⁠joe@musically.com

Indeed increased AI coding tool adoption from roughly 25% to 97% across its engineering organization, but getting engineers to use the tools was only part of the challenge.In this session from DX Annual, Michael Redding, Principal Product Manager, and Jeff Davis, VP of Core Infrastructure at Indeed, explain how the company used structured training, leadership support, and ongoing community engagement to help more than 2,000 engineers build practical AI skills. They share why an early train-the-trainer model fell short, how they redesigned their approach around hands-on learning, and what they learned about balancing adoption, measurement, and psychological safety.They also discuss the impact of the program on coding time, the role of continuous enablement after formal training ended, and how Indeed is preparing for the next phase of AI adoption, including agentic workflows and AI-powered coaching.Where to find Jeff Davis: • LinkedIn: https://www.linkedin.com/in/utjeffd Where to find Michael Redding:• LinkedIn: https://www.linkedin.com/in/reddingsetgoIn this episode, we cover:(00:00) Intro(01:05) Indeed's DX survey from January 2025(02:30) The two-part strategy to double engineering productivity(04:21) How Indeed increased AI adoption from 25% to 97%(15:40) Results from Indeed's AI training program(18:33) How Indeed sustains AI adoption and learning(23:06) What's next for AI enablement at Indeed(24:41) Q&A: How coding time was calculated(25:25) Q&A: How Indeed uses AI playbooks(26:40) Q&A: Balancing asynchronous and live AI training(28:22) Q&A: Psychological safety during AI adoption(31:44) Q&A: Why AI adoption spikes after the holidays(33:20) Q&A: The metrics Indeed tracked (35:22) Q&A: Where the time savings are going (36:54) Q&A: Reaching engineers who skipped the training(38:08) Closing thoughtsReferenced:• Indeed• Claude Code | Anthropic's agentic coding system• Cursor• Windsurf• Amp Code• The Complete Guide to Building Skills for Claude | Anthropic• Measuring developer productivity with the DX Core 4

Discover how blind and visually impaired users can harness AI tools like Claude to build accessible solutions, enhance independence, and master screen reader fundamentals—guided by Tony Gebhard's No Sight Required. Tony Gebhard joins Steven Scott and Shaun Preece to discuss his new book, No Sight Required: A Blind User's Guide to AI. Written from a first-hand perspective, the book tackles the lack of consolidated resources for blind users exploring artificial intelligence. Tony explains why screen reader fundamentals are essential before diving into AI projects and shares how tools like Claude and Codex can help create custom solutions, from NVDA training modules to accessible web tools. The conversation covers: Why learning core navigation and assistive technology basics is crucial. How AI can act as a personal assistant, editor, and creative partner. Balancing accessibility, practicality, and patience when experimenting with LLMs. Creating solutions that empower blind users to solve problems independently. Tony also opens up about the writing process, using AI for editing and production, managing community expectations, and the importance of feedback for future editions. Relevant Links NVDA: https://www.nvaccess.org Email Tony for ePub: info@tonygebhard.me Key Quotes “Claude is smart—but you are the programme director. The AI is your worker; you give it the assignment.” — Tony Gebhard “We finally have the tools to build our own solutions. Let's go fill the gaps ourselves.” — Tony Gebhard Hashtags #AccessibleTech #ScreenReaders #AIForGood ----Follow on:YouTube: https://www.doubletaponair.com/youtubeX (formerly Twitter): https://www.doubletaponair.com/xInstagram: https://www.doubletaponair.com/instagramTikTok: https://www.doubletaponair.com/tiktokThreads: https://www.doubletaponair.com/threadsFacebook: https://www.doubletaponair.com/facebookLinkedIn: https://www.doubletaponair.com/linkedinSubscribe to the Podcast:Apple: https://www.doubletaponair.com/appleSpotify: https://www.doubletaponair.com/spotifyRSS: https://www.doubletaponair.com/podcastiHeadRadio: https://www.doubletaponair.com/iheartAbout Double TapHosted by the insightful duo, Steven Scott and Shaun Preece, Double Tap is a treasure trove of information for anyone who's blind or partially sighted and has a passion for tech. Steven and Shaun not only demystify tech, but they also regularly feature interviews and welcome guests from the community, fostering an interactive and engaging environment. Tune in every day of the week, and you'll discover how technology can seamlessly integrate into your life, enhancing daily tasks and experiences, even if your sight is limited."Double Tap" is a registered trademark of Double Tap Productions Inc. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode:00:46 How sensitive information can be gleaned from medical AIsResearch article: Knolle et al.11:31 Research HighlightsNature: A long-lived butterfly's secret to graceful ageingNature: It slices! It dices! Sashimi-Bot handles seafood with ease13:57 Across the Universe, galaxies clump together more than physicists thought they shouldResearch article: Labini & GaloppoSubscribe to Nature Briefing, an unmissable daily round-up of science news, opinion and analysis free in your inbox every weekday. Hosted on Acast. See acast.com/privacy for more information.

AI infrastructure has become one of the defining growth engines of the American economy, but the entire system depends on enterprises finding enough value to keep consuming more tokens. Today's episode argues that the only bridge between lab revenue pressure and enterprise cost scrutiny is mass-scale AI training that moves workers from basic assisted AI into real agentic usage.Check out the new ⁠⁠⁠⁠https://aidailybrief.ai/⁠⁠⁠⁠Brought to you by:KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠kpmg.com/us/Sophisticated⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bolt - Claim a free month of Bolt Pro - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bolt.new/partner/aidb/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Outsystems - Stop wondering how AI will change your business and start building the agents that will lead it - http://outsystems.com/Scrunch - The AI customer experience platform - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://scrunch.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zenflow Work - Agents for knowledge work - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://zenflow.free/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy - Want to accelerate enterprise software development velocity by 5x? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://pod.link/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Our Newsletter is BACK: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://aidailybrief.beehiiv.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? sponsors@aidailybrief.ai

We are revisiting the AI-copyright interplay for the first time in nearly three years. Copyright remains very relevant to our sphere of interest, not least because the EU AI Act specifically points at EU copyright law with regards to training data and transparency requirements for AI models.Malcolm Bain is an English solicitor and Spanish abogado. He has worked as an Information Technology and Intellectual Property lawyer over the last 20 years, with a specialisation in technology licensing, open source software and content, technology transfer and privacy. In 2006, together with his partner Manuel Martínez, he founded his own firm “id-law partners” as a boutique specialized in IP and ICT. In May 2018, both incorporated this firm into Across Legal.In addition to his professional activity advising entrepreneurs, private companies, public administrations and open source projects, Malcolm is a member of the Free Software Foundation Europe and ASTP, associate professor of law at the University of Barcelona, ​​mentor in Tecniospring Industry and other programs for entrepreneurs and frequent speaker at conferences and seminars in the field of ICTs and entrepreneurship in the digital world.References:* Malcolm Bain at Across Legal* Malcolm Bain on LinkedIn* Monkey selfie copyright dispute (Wikipedia)* Directive (EU) 2019/790 of the European Parliament and of the Council of 17 April 2019 on copyright and related rights in the Digital Single Market and amending Directives 96/9/EC and 2001/29/EC* Report on Copyright and Artificial Intelligence (UK Intellectual Property Office)* Stability AI largely wins UK court battle against Getty Images over copyright and trademark (AP News, November 2025)* US Copyright Office: Copyright Registration Guidance: Works Containing Material Generated by Artificial Intelligence (2023)* German Court Rules OpenAI Infringed Song Lyrics in Europe's First Major AI Music Ruling (November 2025)* Jakob Plesner: Copyright Exceptions for Generative AI (Masters of Privacy, October 2023).* (NOTE: The second part of this conversation was recorded in Spanish and is available in our separate Masters of Privacy ES channel.) This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.mastersofprivacy.com/subscribe

Health data affects artificial intelligence in important ways. Camille Nebeker, Ed.D., M.S., UC San Diego, explains why ethically sourced data is foundational to building trustworthy, AI-ready health data repositories. Nebeker examines how ethical sourcing applies across the full data lifecycle, including consent, governance, transparency, data quality, privacy, stewardship, and community engagement. She also shows how ideas from supply chain management and value sensitive design help teams identify ethical tensions and improve decision-making. This work helps explain why ethics cannot be added at the end of AI development and points toward more accountable data practices that support public trust and stronger downstream performance. Series: "Exploring Ethics" [Science] [Show ID: 41368]

Health data affects artificial intelligence in important ways. Camille Nebeker, Ed.D., M.S., UC San Diego, explains why ethically sourced data is foundational to building trustworthy, AI-ready health data repositories. Nebeker examines how ethical sourcing applies across the full data lifecycle, including consent, governance, transparency, data quality, privacy, stewardship, and community engagement. She also shows how ideas from supply chain management and value sensitive design help teams identify ethical tensions and improve decision-making. This work helps explain why ethics cannot be added at the end of AI development and points toward more accountable data practices that support public trust and stronger downstream performance. Series: "Exploring Ethics" [Science] [Show ID: 41368]

A lot of writers hear the word "training" and picture a conference room full of strangers, a slide deck, and a formal curriculum. That's not what I'm talking about here. The training opportunity most freelancers are sitting on is much smaller, much more personal, and already happening inside your existing client relationships. You're just doing it for free, and you probably haven't recognized it for what it is. In this episode, I break down what AI training actually looks like at the freelancer level: one-on-one coaching with a key contact, a focused small-team engagement, an ongoing embedded arrangement. And I spend real time on the objection that stops most writers before they even get started: "I don't know enough to teach anyone." The knowledge gap between you and your clients is bigger than you think. And the clients who need this help most aren't looking for a guru. They're looking for someone a few steps ahead who already knows them and their business. What You'll Learn Why the training work you're already doing informally is worth real money What a realistic training engagement looks like at the freelancer level, from a simple coaching series to a small team workshop Why you don't need to be an AI expert to deliver real value to your clients right now How to think about pricing when you're selling a transformation, not hours Why training engagements have a natural tendency to open doors to other, deeper work with the same client What to say to a current client to start this conversation without it feeling like a pitch Key Ideas & Takeaways 1. You're already doing this work. If you've ever spent time on a call walking a client through an AI tool, troubleshooting their outputs, or explaining why their results came out generic, that's training. You've been delivering it informally for free. The move is to recognize it, name it, and package it as a real engagement. 2. Training doesn't mean a room full of strangers. At the freelancer level, training usually means one key contact at a client you already know, or a small team of two to four people. It's focused, practical, and built around their specific tools and content types. A coaching series of four to six sessions is a perfectly complete engagement. No slide deck required. 3. You don't need to be an expert. To a third grader, an eighth grader is a really big, smart kid. You don't need to know everything about AI. You need to know more than your client does right now, and for most of your clients, that bar is lower than you think. What makes you specifically valuable isn't generic AI knowledge. It's your understanding of their content, their industry, and what good looks like for them. 4. Price toward the outcome, not the hours. A training engagement isn't worth your hourly rate times the number of sessions. It's worth the value of the transformation you're helping the client achieve: time saved, quality improved, risk reduced. Start by asking what it's worth to your client to have a reliable, on-brand AI workflow in place. Then price toward that number. 5. Training gets you closer to the work. When you're embedded in a client's process, you see things you wouldn't see from the outside: where quality control is breaking down, where the content strategy is unclear, where editorial judgment is missing before content ships. That proximity naturally surfaces new ways to help, without any pushing required. Action Steps Think of one current client who has asked you AI-related questions in the last few months. That's your starting point. Write down what you've already been helping them with informally. That's the foundation of your first training offer. Sketch out what a four to six session coaching series would look like for that client, built around their specific content types and workflows. Think through the outcome: what would it be worth to that client to have a reliable, on-brand AI process in place? Use that to anchor your pricing. Draft one paragraph describing the offer in plain language: what it covers, how long it runs, what the client walks away with. Keep it simple and concrete. Have one conversation. Tell a current client you've noticed they've been asking AI questions and ask if it would be useful to formalize that a bit.

Ed Zitron, Scott Galloway und Gary Marcus warnen vor dem AI-Crash. Wie ernst muss man sie nehmen? ChatGPT knackt die Milliardenmarke an monatlichen Nutzern, OpenAI Codex meldet 5 Millionen Weekly Active Users mit sechsfachem Wachstum gegenüber Februar. WSJ enthüllt: Auf Sam Altmans Vorschlag erwägt die US-Regierung finanzielle Beteiligungen an den großen KI-Firmen. Anthropic erweitert sein Mythos-Programm auf 150 Organisationen weltweit. FT berichtet, dass die NSA Mythos jetzt offensiv für Hacking nutzt. Meta begrenzt sein Mitarbeiter-Überwachungstool nach Belegschafts-Backlash und launcht zeitgleich AI-Agents für WhatsApp Business. Google kauft heimlich Code von Play-Store-Entwicklern fürs AI-Training. Alibaba Qwen 3.7+ kommt multimodal zu einem Bruchteil der westlichen Preise. S&P 500 hält an Profitabilitätsregeln fest, keine Aufweichung für SpaceX. Morningstar bewertet SpaceX bei nur $780 Mrd., der Hälfte des IPO-Ziels. Alphabet erhöht seine Kapitalmaßnahme auf $85 Mrd., das größte Equity-Offering der Geschichte. Anthropic warnt vor Recursive Self-Improvement. Meta hat heimlich Gesichtserkennung in die Smart Glasses eingebaut. Peter Thiels Founders Fund startet ein YouTube-Format mit Tech-CEOs als Mafia-Spielern. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) AI-Bären-Debatte (00:34:54) ChatGPT 1 Mrd. Nutzer & Codex bei 5 Mio. WAU (00:44:16) US-Regierung will Stake an AI-Firmen (00:47:35) Anthropic dehnt Mythos Access aus (00:49:27) NSA nutzt Anthropic Mythos offensiv für Hacking (00:53:50) Meta limitiert Mitarbeiter-Tracking nach Backlash (00:56:16) Google kauft Play-Store-Code für AI-Training (01:00:40) Alibaba Qwen 3.7+ zum Spotpreis (01:02:07) SpaceX-IPO konkret: $135/Aktie, Trade Republic (01:05:56) S&P 500 bleibt hart, kein Frühzugang für SpaceX (01:08:53) Morningstar halbiert SpaceX auf $780 Mrd. (01:12:24) Alphabet raised $85 Mrd. (Rekord-Equity-Offering) (01:19:01) Anthropic Recursive Self-Improvement (01:24:43) Meta Smart Glasses mit heimlicher Gesichtserkennung (01:26:07) Mafia: The Game von Founders Fund Shownotes Ed Zitron Bloomberg Podcast - youtube.com Ed Zitron: Anthropics Profitability Swindle - wheresyoured.at Scott Galloway: 95% der KI-Investments ohne Return, 50-70% Korrektur in 24 Monaten - the-ai-corner.com ChatGPT-App knackt 1 Mrd. monatliche Nutzer in Rekordzeit - reuters.com OpenAI launcht Codex for Knowledge Work - openai.com US-Regierung diskutiert Beteiligungen an AI-Firmen - wsj.com Anthropic to expand Mythos access - ft.com Uber begrenzt Claude-Code-Nutzung, um Kosten zu sparen - bloomberg.com Snowflake-CIO: Layoffs als Druckmittel, damit Mitarbeiter KI nutzen - theinformation.com Metas AI-Agent für WhatsApp Business weltweit verfügbar - techcrunch.com Meta rollt Mitarbeiter-Tracking-Tool nach Belegschafts-Backlash zurück - theinformation.com US National Security Agency using Anthropic's Mythos for cyber attacks - ft.com Google kauft heimlich Code von Play-Store-Entwicklern fürs KI-Training - 404media.co Alibaba Qwen3.7+: Text, Video, Bilder ab $0,40-$1,60 pro Mio. Token - venturebeat.com SpaceX will $75 Mrd. im Rekord-IPO einsammeln - bloomberg.com Morningstar bewertet SpaceX bei $780 Mrd., nur die Hälfte des IPO-Ziels - reuters.com Wild Twist: SpaceX kommt doch nicht früh in den S&P 500 - marketwatch.com Sitecore übernimmt Scrunch für $225 Mio. - bloomberg.com Alphabet raised $85 Mrd. für AI: größtes Equity-Offering aller Zeiten - thenextweb.com GitLab cuttet 14% der Belegschaft für AI-Workload-Skalierung - techcrunch.com CrowdStrike Q1 2027 Earnings - cnbc.com Anthropic Institute: Recursive Self-Improvement - anthropic.com Anthropic fordert globale KI-Entwicklungspause wegen Self-Improvement-Risiko - wsj.com Meta-Smart-Glasses mit Gesichtserkennung und Nametag - wired.com Tech Celebrities Playing Mafia - newcomer.co

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

How do you stay in control of AI while still benefiting from everything it can do? As AI becomes more powerful, many leaders are focused on getting AI to do more work. But perhaps the better question is: How do you make AI more effective without letting it influence your thinking, your brand, or your business direction? In this episode of Grounding AI, Donna Peterson explores why leaders must remain the decision-makers while using AI as a tool to strengthen expertise, deepen customer relationships, and improve business outcomes. You'll learn why AI should enhance your knowledge rather than replace it, how to train AI around your company's goals and values, and the questions every leader should ask before using AI-generated recommendations. If you're responsible for marketing, sales, leadership, customer relationships, or business strategy, this episode offers practical guidance for maintaining control while leveraging AI effectively. In This Episode: Why AI naturally influences decisions and direction The difference between getting AI to do more and getting AI to be more effective How leaders can maintain ownership of their expertise Why your brand voice must remain stronger than AI suggestions The importance of building AI libraries and organizational knowledge Questions to ask before every AI prompt How to keep customer relationships at the center of AI adoption A simple test to determine if AI is helping or leading your business Key Takeaway Before every prompt, ask yourself: What am I trying to accomplish? Why does it matter to my audience? What action do I want people to take? Does this align with our company values and goals? The more direction you provide, the more valuable AI becomes. Connect With World Innovators // Website: www.worldinnovators.com Subscribe for weekly conversations on AI, leadership, trust-building, marketing strategy, and practical business growth. *** Reach out to dpeterson@worldinnovators.com if you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.com for more resources on building stronger marketing and leadership strategies.*** Subscribe to the Grounding AI podcast for weekly insights into marketing, leadership, and the future of AI.

AI Training app looking for homes to clean… Google employee arrested for insider trading… Inmate steals millions while in jail now on the run… Google wants to release mosquitoes in California and Florida… Happy Birthday to Mya and Marilyn… Pride Month and Hurricane Season it is… Email: ChewingTheFat@theblaze.com [http://www.blazetv,com/jeffy]www.blazetv,com/jeffy Save $20 on an annual subscription Trouble in Bunker City South Dakota… Eric suffers from Auto Brewery Syndrome… Who Died Today: Joe Negri 99 / Ronald LaPread 75 / Maria Lucas 80… Heinz Ketchup and The Label of Truth… George Pickering saved sons life right or wrongly… Joke of The Day… Learn more about your ad choices. Visit megaphone.fm/adchoices

A sharp spike up to 6% for the Producer Price Index has podcast host Gene Marks expressing concern over the pending price hikes for goods for the remainder of 2026. He offers some suggestions to help employers and their employees. As the World Cup soccer tournament nears its start in North America, one U.S. host city's restaurant group is proposing a mandatory tip percentage so staff don't get stiffed by visitors from non-tipping cultures. And Anthropic launches Claude for Small Business, which Gene notes is a great way to help implement AI. Listen to the podcast.   Topics: 00:00 – Introduction 00:51 – Producer Price Index Spikes 03:50 – Tipping Proposal for World Cup Events 06:48 – AI Training by Claude for Small Business 09:24 – Episode Wrap-up Additional Resources Meet Paychex: https://bit.ly/3VtM6bs DISCLAIMER: The information presented in this podcast, and that is further provided by the presenter, should not be considered legal or accounting advice, and should not substitute for legal, accounting, or other professional advice in which the facts and circumstances may warrant. We encourage you to consult legal counsel as it pertains to your own unique situation(s) and/or with any specific legal questions you may have.

Segment 1: Tom Gimbel, job expert and founder of LaSalle Network, joins Jon Hansen to talk about why AI should be part of every curriculum in high school and college. Segment 2: Katie Simpson, Central Regional Executive for the U.S. Bank Institutional Client Group, joins Jon Hansen to talk about a recent survey of CFO’s that shows sentiment […]

Kill Negative Thoughts ASAP! What's SHE Up To Now Day 3029? Supersize Challenges, Skool Launch, AI Training... Join us every day in 2026 for a quick challenge that is all about you Improving and creating the life you want! https://www.facebook.com/ThrivingSharon Ask your questions and share your wisdom! #supersizeannualchallenges #doonethingeverydaytosupersize #supersizemastermind #supersizeyouannualchallemastermind #figureitout #lessonslearned Get more SUPERSIZE wisdom here: https://www.skool.com/supersize-your-business-1654/about

AI is everywhere right now, but most businesses are struggling to actually use it well. Many teams attend a training, feel overwhelmed, and then go right back to old habits. Why is that? And what actually works if you want AI adoption to stick? We asked today's guest, Dana Rozier. She shares all you need to know about effective AI training. Dana Rozier is the founder of Nova Consulting AI, where she helps non-technical leaders and small teams adopt AI with confidence.  With a background in teaching and curriculum development, she specializes in making complex technology simple and practical.  Dana focuses on building AI literacy and helping organizations create the right conditions for AI to truly succeed. Read more: https://strategicsalesqueen.com/ai-training-what-actually-succeeds/Support the showCheck out Strategic Sales Queen for more great interviews, podcasts, and blogs to help you achieve more, faster!https://www.strategicsalesqueen.com/​

A new Executive Order from the White House aims to expand participation in retirement savings for lower-income workers, which brings supporters and critics. It also looks to connect these IRAs to the Saver's Match for eligible recipients. Gene Marks highlights this in this episode of the Week in Review, along with a possible new course for the Federal Reserve to map out rate hikes that could impact funding options. Plus, national outlets such as the U.S. Chamber of Commerce are sponsoring free AI training sessions to small businesses. Listen to the podcast. Topics: 00:00 – Introduction 01:00 – Executive Order on retirement accounts 04:38 – Federal Reserve maps out rate changes 07:59 – Free AI training being offered 10:15 – Episode Wrap-up Additional Resources Meet Paychex: https://bit.ly/3VtM6bs Free AI training: https://bit.ly/ai-training-for-free DISCLAIMER: The information presented in this podcast, and that is further provided by the presenter, should not be considered legal or accounting advice, and should not substitute for legal, accounting, or other professional advice in which the facts and circumstances may warrant. We encourage you to consult legal counsel as it pertains to your own unique situation(s) and/or with any specific legal questions you may have.

Plus: PayPal to cut 20% of staff. And shares of Palantir slide despite record quarterly revenue and profit. Julie Chang hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of Business Brain, it’s FridAI and Shannon Jean and Dave Hamilton are putting Anthropic’s brand-new Claude Cowork through its paces — using it with a Manager to handle real workflow delegation. If you’ve been wondering how AI agents actually fit into your day-to-day operations (instead of just answering chat questions), you’ll get a front-row look at what this tool can do and where it shines for entrepreneurs trying to multiply their output without multiplying their headcount. Then the guys dig into AI training resources from your local Small Business Development Center, including how to get found in the age of AI and lean into AI-driven content creation. Free help from people who actually want you to win? That’s the kind of resource that turns a side hustle into the Charmed Life. Tune in, take notes, and pick one AI play you can run before Monday. 00:00:00 Business Brain – The Entrepreneurs' Podcast #749 for Casual FridAI, May 1, 2026 May 1st: National Executive Coaching Day (and also National Phone In Sick Day) 00:01:12 Claude Cowork with a Manager 00:09:22 SPONSOR: Intuit QuickBooks Payroll is evolving beyond pay runs to support how you hire, onboard, manage, and retain your team. Learn more by visiting https://QuickBooks.com/workforce 00:10:38 Small Business Development Centers Get found in the age of AI from SBDC AI Driven Content Creation 00:15:47 Business Brain 749 Outtro Check out Business Brain Blueprints Tell Your Friends! Review Business Brain Subscribe to the show feedback@businessbrain.show Call/Text: (567) 274-6977 X/Twitter: @ShannonJean & @DaveHamilton, & @BizBrainShow LinkedIn: Shannon Jean, Dave Hamilton, & Business Brain Facebook: Dave Hamilton, Shannon Jean, & Business Brain The post FridAI, AI Training + Claude Cowork – Business Brain 749 appeared first on Business Brain - The Entrepreneurs' Podcast.

Dawn Gagye joins Charli on the Pod this week to talk AIMost founders do not need more ideas. They need better structure around the growth already happening in the business. Dawn Gagye is a Fractional CMO, strategic advisor, keynote speaker, and WSI certified AI consultant. Dawn helps CEOs and founders of growing U.S. businesses build stronger marketing systems and adopt AI in practical ways that support the business instead of distracting from it. The companies she works with usually are not starting from scratch. They already have momentum, a team, and real revenue. But as the business grows, things get harder to hold together. Marketing feels disconnected. Reporting is inconsistent. Teams are busy, but not always aligned. And AI keeps showing up as something important, even though no one has time to sort through the noise. That is where Dawn comes in. Dawn helps leaders simplify growth by creating stronger structure behind the scenes: clearer strategy, better marketing systems, improved accountability, and practical AI adoption that saves time and reduces friction. Dawn believes AI should make a business more effective, not more complicated. The goal is not to add another layer of tools. The goal is to help leaders and teams work smarter, make better decisions, and create more leverage across the organization. With 25+ years in strategy, Dawn helps businesses turn complexity into clarity and growth into something more sustainable. Based in Birmingham, Alabama and serving clients coast to coast.Find us @EmpoweringPumps on Facebook, LinkedIn,  Instagram and Twitter and using the hashtag #EmpoweringIndustryPodcast or via email podcast@empoweringpumps.com

Welcome to this week's episode of the PEBCAK Podcast!  We've got four amazing stories this week so sit back, relax, and keep being awesome!  Be sure to stick around for our Dad Joke of the Week. (DJOW) Follow us on Instagram @pebcakpodcast   Please share this podcast with someone you know!  It helps us grow the podcast and we really appreciate it!   Simple 6 signup link https://simple6.co/r/CFUR98   CISA orders immediate patching for Windows Defender Zero Day https://www.bleepingcomputer.com/news/security/cisa-orders-feds-to-patch-microsoft-defender-flaw-exploited-in-zero-day-attacks/ https://x.com/k1rallik/status/2044844102127165912?s=20    Ransomware negotiator pleads guilty to helping ransomware gangs https://www.bleepingcomputer.com/news/security/former-ransomware-negotiator-pleads-guilty-to-blackcat-attacks/   Hairdryer used to win Polymarket bet https://www.engadget.com/big-tech/someone-allegedly-used-a-hairdryer-to-rig-polymarket-weather-bets-155312411.html  https://www.cnbc.com/2026/04/23/doj-soldier-polymarket-bets-venezuela-maduro.html   Apple patches Signal notification bug https://www.bleepingcomputer.com/news/security/apple-fixes-ios-bug-that-retained-deleted-notification-data/   AI is training on data from dead companies https://www.forbes.com/sites/annatong/2026/04/16/ais-new-training-data-your-old-work-slacks-and-emails/   Best NES games https://nekorandom.com/2022/07/04/fun-fact-why-mike-tyson-was-replaced-in-punch-out/   Dad Joke of the Week (DJOW)   Find the hosts on LinkedIn: Chris - https://www.linkedin.com/in/chlouie/ Brian - https://www.linkedin.com/in/briandeitch-sase/ Glenn - https://www.linkedin.com/in/glennmedina/

Jaeden and Conor celebrate the groundbreaking results from a six-month study conducted by Microsoft that demonstrated how training with AI Mindset significantly enhanced employee productivity. Conor shares insights into the study's methodology and reflects on the broader implications for organizations looking to harness the power of AI effectively.Watch on YouTube: https://youtu.be/oUDnAs-RdhcGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiConor's AI Course: https://www.ai-mindset.ai/coursesJaeden's AI Business Community: https://www.skool.com/aihustleChapters:00:00 Introduction to AI Mindset and Microsoft Study05:25 Results from the Microsoft Study09:14 Transforming Organizations with AI Mindset12:59 Encouraging AI Adoption in the Workplace See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.