Podcasts about ai podcast

In this end-of-year AwesomeCast, hosts Michael Sorg and Katie Dudas are joined by original AwesomeCast co-host Rob De La Cretaz for a wide-ranging discussion on the biggest tech shifts of 2025 — and what's coming next. The panel breaks down how AI tools became genuinely useful in everyday workflows, from content production and health tracking to decision-making and trend analysis. Rob shares why Bambu Labs 3D printers represent a turning point in consumer and professional 3D printing, removing friction and making rapid prototyping accessible for creators, engineers, and hobbyists alike. The episode also covers the evolving role of AI in media creation, concerns around over-reliance and trust, and why human-made content may soon become a premium feature. Intern Mac reflects on changing career paths into media production, while the crew revisits their 2025 tech predictions, holds themselves accountable, and locks in bold forecasts for 2026. Plus: Chachi's Video Game Minute, AI competition heating up, Apple Vision Pro speculation, and why “AI inside” may need clearer definitions moving forward.

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Now on Spotify Video! When Reid Hoffman first began studying artificial intelligence at Stanford, the world wasn't ready for it yet. Years later, inspired by conversations with top tech innovators, he recognized AI's potential and seized the moment. As the founding investor in OpenAI and co-founder of Inflection AI, he's at the forefront of shaping AI and the future of work. In this episode of the AI Vault series, Reid introduces the concept of "superagency," where AI enhances human capabilities rather than replacing them. He also addresses common fears surrounding AI and shares his vision for a future powered by AI-driven agents. In this episode, Hala and Reid will discuss:  (00:00) Introduction (01:49) Reid's Early Interest in Artificial Intelligence (04:18) AI, Jobs, and Concerns for the Future (08:25) Superagency: Amplifying Human Capability with AI (19:34) Training AI to Be a Better Human Companion  (23:15) Trust and Misinformation in the Age of AI  (25:56) Why Human Expertise Still Matters in AI (28:13) Reid's AI Twin (31:07) Leveraging AI for Content Creation (32:39) How AI in Action Will Shape the Future Reid Hoffman is an entrepreneur, investor, partner at Greylock, and the co-founder of LinkedIn and Inflection AI. He's also a bestselling author and host of the Masters of Scale podcast. Reid majored in artificial intelligence at Stanford through the Symbolic Systems program, one of the earliest undergraduate AI majors. As an early investor in OpenAI, he has become a prominent voice championing responsible AI development that expands and amplifies human potential. Sponsored By: Indeed - Get a $75 sponsored job credit to boost your job's visibility at Indeed.com/PROFITING  Shopify - Start your $1/month trial at Shopify.com/profiting.  Revolve - Head to REVOLVE.com/PROFITING and take 15% off your first order with code PROFITING  DeleteMe - Remove your personal data online. Get 20% off DeleteMe consumer plans at to joindeleteme.com/profiting  Spectrum Business - Visit Spectrum.com/FreeForLife to learn how you can get Business Internet Free Forever. Airbnb - Find yourself a cohost at airbnb.com/host  Northwest Registered Agent - Build your brand and get your complete business identity in just 10 clicks and 10 minutes at northwestregisteredagent.com/paidyap Framer - Publish beautiful and production-ready websites. Go to Framer.com/design and use code PROFITING Intuit QuickBooks - Bring your money and your books together in one platform at QuickBooks.com/money  Resources Mentioned: Reid's Book, Superagency: amzn.to/4g7cfVG Reid's Book, Blitzscaling: bit.ly/Blitzscalin  Reid's LinkedIn: linkedin.com/in/reidhoffman  Reid's Website: reidhoffman.org  Reid's AI Video, Reid Hoffman Meets His AI Twin: bit.ly/4jzlVeD  Active Deals - youngandprofiting.com/deals  Key YAP Links Reviews - ratethispodcast.com/yap YouTube - youtube.com/c/YoungandProfiting Newsletter - youngandprofiting.co/newsletter  LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Social + Podcast Services: yapmedia.com Transcripts - youngandprofiting.com/episodes-new  Entrepreneurship, Entrepreneurship Podcast, Business, Business Podcast, Self Improvement, Self-Improvement, Personal Development, Starting a Business, Strategy, Investing, Sales, Selling, Psychology, Productivity, Entrepreneurs, AI, Artificial Intelligence, Technology, Marketing, Negotiation, Money, Finance, Side Hustle, Startup, Mental Health, Career, Leadership, Mindset, Health, Growth Mindset, ChatGPT, AI Marketing, Prompt, AI in Business, Generative AI, AI for Entrepreneurs, AI Podcast 

All tech is witchcraft…until it isn't. Today, we're talking to Sam Ransbotham, AI editor at MIT Sloan Management Review and host of the Me, Myself, and AI podcast. We discuss why 76% of executives now view AI as a coworker rather than a tool, how healthcare privacy laws from 1996 can't handle modern AI capabilities, and why cheaper coding will create more programming jobs instead of eliminating them. All of this right here, right now, on the Modern CTO Podcast!  Thank you to Digital Ocean for sponsoring this episode. For simple cloud and powerful AI that's built to scale, check out Digital Ocean here. To read MIT Sloan's AI study, "The Emerging Agentic Enterprise," check it out here!

In this special episode, we are sharing a conversation from the NVIDIA AI Podcast, hosted by Noah Kravitz, featuring our host Shai Shen-Orr.The discussion dives into CytoReason's partnership with NVIDIA and how computational disease models turn massive biological data into actionable insights for faster, smarter drug development. Shai and Noah discuss:Why biology is a deep data problem with too many features and too few samplesHow agentic AI workflows help scientists keep up with exploding molecular and clinical dataWhy CytoReason encourages teams to automate the routine to focus on what really mattersWhy trust and interpretability are essential, with every prediction grounded in mechanism, not just statisticsAnd how computational disease models help pharma leaders decide what to develop, who to treat, and whyEnjoy this special Tech on Drugs crossover episode!

Implement AI deploys teams of digital workers that work together to boost growth, increase capacity, optimise costs, and improve customer and prospect engagement.Through our AI Operating System (AIOS), a fully managed AI Agent Platform built around Agent Teams, an Agentic CRM, and an Agentic Task Engine, businesses can start with a single digital worker and scale to 50 or more across departments such as sales, support, analysts, and computer use. All setup and configuration is fully handled, so no technical expertise is needed.With more than 400 integrations, organisations save time, increase productivity, and scale faster. Grow your workforce, not your payroll.Learn more at www.implementai.ioIn this episode of The Implement AI Podcast, hosts Piers Linney and Dr Aalok Y. Shukla are joined by Andrew Gaule, CEO and Founder of Aimava, to unpack why most organisations say they're ready for AI, but structurally they're not. They break down the common failure patterns inside AI adoption, why treating AI as an IT development project stalls progress, and how digital workers deliver real value when deployed with the right ownership, alignment, and workflow redesign. Andrew shares lessons from decades of enterprise transformation and how AI is reshaping investment strategy, operational structure, and decision-making inside large organisations.Speak to our AI agents and start your capacity journey. Hosted on Acast. See acast.com/privacy for more information.

Now on Spotify Video! Most people have been using AI for decades, but only a few understand how to leverage it. After more than 40 years in the field, Stephen Wolfram has seen how breakthroughs like ChatGPT seem to emerge out of nowhere, and he believes the real power isn't the technology itself, but learning how to think in a way machines can work with. In this episode of the AI Vault series, Stephen breaks down how artificial intelligence truly works, what the future of automation will look like,  and why mastering computational thinking is the next critical skill for entrepreneurs and innovators. In this episode, Hala and Stephen will discuss: (00:00) Introduction (02:31) His Early Fascination With Science and AI (05:52) How Artificial Intelligence Began (14:18) The Foundations of Computational Thinking (21:31) The Role of Computational Thinking in AI (25:52) How ChatGPT and Neural Networks Work (33:45) Can AI Develop Real Consciousness? (39:23) How AI Will Transform the Future of Work (45:27) Will AI in Action Surpass Human Intelligence? Stephen Wolfram is a computer scientist, mathematician, theoretical physicist, and the founder and CEO of Wolfram Research. He created Mathematica, Wolfram Alpha, and the Wolfram Language, and is widely recognized for his pioneering work in computation and complex systems. A MacArthur “Genius” Grant recipient, Stephen has authored several influential books, including What Is ChatGPT Doing? Today, he stands as one of the leading voices shaping global understanding of AI and computational thinking. Sponsored By: Indeed - Get a $75 sponsored job credit to boost your job's visibility at Indeed.com/PROFITING  Shopify - Start your $1/month trial at Shopify.com/profiting.  Revolve - Head to REVOLVE.com/PROFITING and take 15% off your first order with code PROFITING  DeleteMe - Remove your personal data online. Get 20% off DeleteMe consumer plans at to joindeleteme.com/profiting  Spectrum Business - Visit Spectrum.com/FreeForLife to learn how you can get Business Internet Free Forever. Airbnb - Find yourself a cohost at airbnb.com/host  Northwest Registered Agent - Build your brand and get your complete business identity in just 10 clicks and 10 minutes at northwestregisteredagent.com/paidyap Framer - Publish beautiful and production-ready websites. Go to Framer.com/design and use code PROFITING Intuit QuickBooks - Bring your money and your books together in one platform at QuickBooks.com/money  Resources Mentioned: Stephen's Book, What Is ChatGPT Doing?: bit.ly/-ChatGPT  Stephen's Website: stephenwolfram.com  Stephen's Book, A New Kind of Science: bit.ly/NKScience  Stephen's Book, An Elementary Introduction to the Wolfram Language: bit.ly/WolframL  Active Deals - youngandprofiting.com/deals  Key YAP Links Reviews - ratethispodcast.com/yap YouTube - youtube.com/c/YoungandProfiting Newsletter - youngandprofiting.co/newsletter  LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Social + Podcast Services: yapmedia.com Transcripts - youngandprofiting.com/episodes-new  Entrepreneurship, Entrepreneurship Podcast, Business, Business Podcast, Self Improvement, Self-Improvement, Personal Development, Starting a Business, Strategy, Investing, Sales, Selling, Psychology, Productivity, Entrepreneurs, AI, Artificial Intelligence, Technology, Marketing, Negotiation, Money, Finance, Side Hustle, Startup, Mental Health, Career, Leadership, Mindset, Health, Growth Mindset, AI Marketing, Prompt, AI in Business, Generative AI, AI for Entrepreneurs, AI Podcast 

Why B2B Marketers Hesitate to Choose an AI Tool and How to Move Forward with ConfidenceIn this episode, Donna Peterson talks about the real fears many B2B marketers face when thinking about using AI tools and large language models. She explains why choosing an AI tool can feel overwhelming and why many industrial brands, executive education programs, and companies with long sales cycles hesitate to get started.Donna highlights three concerns she hears most often:• Not knowing which large language model to choose• Worrying that AI will harm personal relationships• Feeling unsure about learning what seems like a new technologyShe explains that tools like ChatGPT, Gemini, and Copilot all work in similar ways, and the key is understanding how to guide them. Donna reinforces that AI should not replace personal connection. Instead, it should give marketers more time to build trust by handling routine tasks in the background.Listeners will learn how large language models respond to clear direction, why “garbage in, garbage out” still applies, and how to start using AI safely without risking their brand voice. Donna also discusses the increasing interest in AI agents and why companies need to understand LLMs before creating customized agents for different departments.The episode includes simple steps B2B teams can take to start using AI immediately, along with practical guidance for industrial marketers who want to use AI without losing the human touch that builds long-term relationships.These insights support marketers looking for clarity on how to start with AI, how to protect their brand voice, and how to use AI tools responsibly in B2B marketing.Episode Chapters:00:00 Introduction and Purpose00:56 Common Fears of B2B Brands Using AI01:29 Choosing the Right AI Tool02:38 Overcoming the Fear of Learning New Technology03:23 Maintaining Personal Connections with AI05:20 Deep Dive into Large Language Models06:19 The Importance of AI Training in Corporations08:01 The Role of AI Agents in Business10:38 Practical Tips for Using AI Effectively14:38 The Risks of Relying Solely on Software Platforms19:29 Final Thoughts and EncouragementIf you found this episode helpful, please subscribe and rate the show. Your support helps us reach more B2B professionals and continue our mission to inspire success.We do Individual & Team Training as well as Speaking Engagements. See contact details below. *** Reach out to dpeterson@worldinnovators.comif you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams. *** Visit www.worldinnovators.comfor more resources on building stronger marketing and leadership strategies. *** Subscribe to the B2B Marketing Excellence & AI Podcast for weekly insights into marketing, leadership, and the future of AI.

Hi everyone! We've entered the busiest month of the year—I hope you're all doing well and getting ready to wrap things up! The other day, while I was having a meeting by the lake, I came across an article in an English newspaper about the famous Japanese singer Yumi Matsutoya, also known as Yuming. The article focused on her thoughts about AI and creativity. She shared some really deep insights about what creators should do in this AI era. Today, I'd like to introduce a part of her English interview. Hope you find the episode insightful! 師走に突入して、急に慌ただしくなってきた感じがします。皆さんはいかがお過ごしですか？ こんにちは！ Sayuriです。今日は、シンガー松任谷由実（ユーミン）の英語の記事をJapan Timesで読んでいて、この番組のテーマにもぴったりで素敵だなと感じたのでご紹介したいと思います。

We celebrate the 100th episode of Real Estate AI Flash with AI futurist Steve Brown, author of The AI Ultimatum. We explore how AI is reshaping work, leadership, and real estate, from managing human and digital employees to using conversational and spatial AI. Learn what future-ready leaders are doing today to stay ahead. Resources Mentioned The AI Ultimatum Book – https://a.co/d/28ieo74  Last Week in AI Podcast - https://podcasts.apple.com/us/podcast/last-week-in-ai/id1725552677  AI Explained Youtube Channel – https://www.youtube.com/@aiexplained-official Guest: Steve Brown Website: https://www.stevebrown.ai/  LinkedIn: https://www.linkedin.com/in/futuresteve/   Host: Rajeev Sajja Website: http://www.realestateaiflash.com    Facebook: https://www.facebook.com/rsajja  Instagram: http://www.instagram.com/fcamsajja  LinkedIn: http://www.linkedIn.com/in/rsajja  Resources:  AI Playbook - http://www.realestateaiflash.com  $10 off for Plaud AI Notetakers for Podcast listeners - https://realestateaiflash.com/partners/  Join our Instagram Real Estate AI Insiders Channel - https://ig.me/j/AbZCJG37DqBPPtxi/ Subscribe to our weekly AI Newsletter: https://realestateai-flash.beehiiv.com/subscribe  Join the Real Estate AI Academy Wait list - https://realestateaiflash.com/academy   

In this thought-provoking episode, we dive deep into how Artificial Intelligence is transforming human consciousness, spirituality, and our search for truth.From uncovering hidden knowledge to raising the planet's frequency, this conversation explores how technology is becoming a mirror to human enlightenment — revealing who we truly are in the age of instant information.Discover how AI can serve as both a tool for truth and a gateway to awakening, bridging ancient wisdom with the digital age.

This YouTube video transcript from "Metabolism Made Easy" highlights the significant role of fat reserves in the human body. The speaker emphasizes the substantial quantity of fat, primarily in the form of triacylglycerols (TAGs), stored within us. This reserve represents a considerable percentage of body mass and, crucially, an enormous energy depot. The transcript points out that the caloric potential of fat far surpasses that of both protein and glycogen, making it the body's most important long-term energy source.

In this special Thanksgiving episode, Donna Peterson, President of World Innovators, shares a meaningful story of transformation — how shifting from a 'sales-first' mindset to a 'give-first' philosophy became the foundation for deeper trust, stronger relationships, and sustainable business growth.Drawing from her decades of experience in industrial and B2B marketing, Donna highlights one of the most overlooked marketing tools available to businesses today: active association membership.This episode answers the key question:How can B2B companies leverage association memberships to boost SEO and drive industry growth?From backlinks in member directories to building trust through thought leadership and networking, Donna outlines exactly how associations offer both visibility and credibility — two critical pillars of relationship-based B2B marketing.You'll walk away with specific, practical steps to strengthen your brand's presence and help your industry grow.Timestamps:00:00 Reflecting on Thankfulness01:03 The Power of a Mindset Shift03:55 Embracing Association Membership06:51 Actionable Steps for B2B Companies10:07 Building Relationships Through In-Person Events12:04 Maximizing Association Membership Benefits14:34 Final Thoughts and Thanksgiving WishesStay Connected:If you're interested in building stronger relationships through smarter B2B marketing, Donna would love to connect.Email: dpeterson@worldinnovators.comPhone: 860-846-7404Website: www.worldinnovators.com *** Reach out to dpeterson@worldinnovators.comif you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams. *** Visit www.worldinnovators.comfor more resources on building stronger marketing and leadership strategies. *** Subscribe to the B2B Marketing Excellence & AI Podcast for weekly insights into marketing, leadership, and the future of AI.

AWS re:Invent has long featured CTO Werner Vogels' closing keynote, but this year he signaled it may be his last, emphasizing it's time for “younger voices” at Amazon. After 21 years with the company, Vogels reflected on arriving as an academic and being stunned by Amazon's technical scale—an energy that still drives him today. He released his annual predictions ahead of re:Invent, with this year's five themes focused heavily on AI and broader societal impacts.Vogels highlights technology's growing role in addressing loneliness, noting how devices like Alexa can offer comfort to those who feel isolated. He foresees a “Renaissance developer,” where engineers must pair deep expertise with broad business and creative awareness. He warns quantum-safe encryption is becoming urgent as data harvested today may be decrypted within five years. Military innovations, he notes, continue to influence civilian tech, for better and worse. Finally, he argues personalized learning can preserve children's curiosity and better support teachers, which he views as essential for future education.Learn more from The New Stack about evolving role of technology systems from past to future: Werner Vogels' 6 Lessons for Keeping Systems Simple50 Years Later: Remembering How the Future Looked in 1974Join our community of newsletter subscribers to stay on top of the news and at the top of your game.   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Implement AI deploys teams of digital workers that work together to boost growth, increase capacity, optimise costs, and improve customer and prospect engagement.Through our AI Operating System (AIOS), a fully managed AI Agent Platform built around Agent Teams, an Agentic CRM, and an Agentic Task Engine, businesses can start with a single digital worker and scale to 50 or more across departments such as sales, support, analysts, and computer use. All setup and configuration is fully handled, so no technical expertise is needed.With more than 400 integrations, organisations save time, increase productivity, and scale faster. Grow your workforce, not your payroll.Learn more at www.implementai.ioIn this episode of The Implement AI Podcast, hosts Piers Linney and Dr Aalok Y. Shukla are joined by Roei Samuel, CEO and Founder of Connectd, to examine how AI, digital workers, and fractional talent are reshaping the workforce. They explore why organisations want to scale revenue without expanding headcount, where AI is already outperforming traditional teams, and why the next three years will determine which companies grow and which professionals stay relevant. Roei shares Connectd's growth from zero to $13M ARR in 3.5 years, and the structural forces pushing the shift from jobs to outcome-based work.Speak to our AI agents and start your capacity journey. Hosted on Acast. See acast.com/privacy for more information.

During the pandemic, will.i.am noticed how broken creative collaboration was. Tools like email, Zoom, and Dropbox made it hard for creators to stay organized and integrated. Determined to find a better way, he built FYI.AI, a generative AI platform that helps creators collaborate, share data securely, and manage their projects all in one place. In this episode, will.i.am shares how artificial intelligence is powering a new era where creativity, inclusion, and technology redefine entrepreneurship and artistic expression. In this episode, Hala and will.i.am will discuss: (00:00) Introduction (01:04) His Early Life and Creative Roots (08:13) The Power of a Growth Mindset in Success (11:19) What Being a Futurist Means to Him (17:08) How AI Is Shaping the Future of Innovation (23:39) Building FYI.ai: AI-Powered Creative Collaboration (37:18) Artificial Intelligence vs. Human Creativity in Music (42:52) Why He's Optimistic About AI in Action (46:06) Advocating Diversity and Inclusion in AI will.i.am is an American rapper, singer, songwriter, producer, and entrepreneur. He is a seven-time Grammy award-winning founding member of the musical group the Black Eyed Peas. Beyond music, he is a dedicated futurist and technologist, who has invested in and advised several major technology companies. Most recently, he founded FYI.ai, an AI-powered platform designed to optimize collaboration and digital ownership for the creator economy. Sponsored By: Indeed - Get a $75 sponsored job credit to boost your job's visibility at Indeed.com/PROFITING  Shopify - Start your $1/month trial at Shopify.com/profiting.  Quo - Get 20% off your first 6 months at Quo.com/PROFITING  Revolve - Head to REVOLVE.com/PROFITING and take 15% off your first order with code PROFITING  Merit Beauty - Go to meritbeauty.com to get your free signature makeup bag with your first order.  DeleteMe - Remove your personal data online. Get 20% off DeleteMe consumer plans at to joindeleteme.com/profiting  Spectrum Business - Visit Spectrum.com/FreeForLife to learn how you can get Business Internet Free Forever. Airbnb - Find yourself a cohost at airbnb.com/host  Resources Mentioned: will.i.am's App: FYI.AI will.i.am's foundation: Im Angel Foundation: i.am.angel foundation.org YAP E241 with Mo Gawdat: youngandprofiting.co/DangersAI  Active Deals - youngandprofiting.com/deals  Key YAP Links Reviews - ratethispodcast.com/yap YouTube - youtube.com/c/YoungandProfiting Newsletter - youngandprofiting.co/newsletter  LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Social + Podcast Services: yapmedia.com Transcripts - youngandprofiting.com/episodes-new  Entrepreneurship, Entrepreneurship Podcast, Business, Business Podcast, Self Improvement, Self-Improvement, Personal Development, Starting a Business, Strategy, Investing, Sales, Selling, Psychology, Productivity, Entrepreneurs, AI, Artificial Intelligence, Technology, Marketing, Negotiation, Money, Finance, Side Hustle, Startup, Mental Health, Career, Leadership, Mindset, Health, Growth Mindset, ChatGPT, AI Marketing, Prompt, AI in Business, AI for Entrepreneurs, Future of Work, AI Podcast

Many legacy industrial brands assume that steady sales today mean they will stay strong tomorrow. In this episode, we talk about why that belief can create blind spots for companies with long histories, loyal customers, and strong reputations.Donna welcomes Ken Spaeth from Cutting Tool Engineering Magazine (CTE) to explore how industrial brands can protect their visibility and maintain trust in a market that is always changing. Ken works directly with manufacturers every day, and he shares what he sees separating brands that stay top of mind from those that slowly fade out of view.Together, Donna and Ken discuss why marketing is not an expense. It is a relationship-building investment that keeps your company present in your industry, especially with new engineers and younger buyers entering the workforce. They also talk about the value of consistent messaging, how industry-specific publications support thought leadership, and how print, digital, and AI can all work together.This episode is especially helpful for leaders at legacy industrial brands who want to stay relevant, maintain visibility, and support long sales cycle growth through thoughtful, relationship-based marketing.In this episode, you will learn:Why legacy industrial brands cannot rely only on past relationshipsHow consistent visibility keeps your brand top of mindWhy print and digital advertising still matter for technical buyersHow AI is influencing the buying cycle and strengthening contentThe importance of face-to-face interactions in a digital worldHow relationship-based B2B marketing supports long-term growthKey Topics and Timestamps:00:00 Why legacy brands still need consistent marketing00:53 Introducing Ken Spaeth and Cutting Tool Engineering01:55 Why business still runs on relationships04:34 How AI supports visibility and faster buying cycles07:05 The role of trusted industry-specific magazines09:01 Marketing as an investment that protects future sales12:36 Why consistent advertising matters for long sales cycle companies17:38 The continued importance of in-person meetings22:57 Combining traditional and modern marketing approaches25:05 The long-term value of print and digital advertising29:09 How AI supports storytelling for industrial brands30:39 Ken's path into CTE and the manufacturing world32:33 Inside CTE's “Bourbon with the Editor” podcastConnect with our guest: Ken SpaethCutting Tool Engineering Magazine // Website: www.ctemag.comListen to their podcast: Bourbon with the Editor - https://open.spotify.com/show/0kZP6XcglHqnE6wswNzwoI?si=1671d8c15b3540a1 *** Reach out to dpeterson@worldinnovators.comif you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams. *** Visit www.worldinnovators.comfor more resources on building stronger marketing and leadership strategies. *** Subscribe to the B2B Marketing Excellence & AI Podcast for weekly insights into marketing, leadership, and the future of AI.

By Adam Turteltaub The rise of generative AI has brought transformative potential to healthcare—from streamlining administrative tasks to supporting clinical decision-making. But alongside these benefits comes a growing concern: Shadow AI. Alex Tyrrell, Chief Technology Officer, Health at Wolters Kluwer explains in this podcast that this term refers to the use of unauthorized, unmonitored AI tools within organizations. In healthcare, where data privacy and patient safety are paramount, Shadow AI presents a unique and urgent challenge both now and in the future. Healthcare professionals often turn to generative AI tools with good intentions—hoping to reduce documentation burdens, improve workflows, or gain insights from complex data. However, many of these tools are unproven large language models (LLMs) that operate as black boxes. They're prone to hallucinations, lack transparency in decision-making, and may inadvertently expose Protected Health Information (PHI) to the open internet. This isn't just a theoretical risk. The use of public AI tools on personal devices or in clinical settings can lead to serious consequences, including: Privacy violations Legal and regulatory non-compliance Patient harm due to inaccurate or misleading outputs Despite these risks, many healthcare organizations lack visibility into how and when these tools are being used. According to recent data, only 18% of organizations have a formal policy governing the use of generative AI in the workplace, and just 20% require formal training for employees using these tools. It's important to recognize that most employees aren't using Shadow AI to be reckless—they're trying to solve real problems. The lack of clear guidance, approved tools, and education creates a vacuum that Shadow AI fills. Without a structured approach, organizations end up playing a game of whack-a-mole, reacting to issues rather than proactively managing them. So, what can healthcare organizations do to address Shadow AI without stifling innovation? Audit and Monitor Usage Start with what you can control. For organization-issued devices, conduct periodic audits to identify unauthorized AI usage. While personal devices are harder to monitor, you can still gather feedback from employees about where they see value in generative AI. This helps surface use cases that can be addressed through approved tools and structured programs. Procure Trusted AI Tools Use procurement processes to source AI tools from vetted vendors. Look for solutions with: Transparent decision-making processes Clear documentation of training data sources No use of patient data or other confidential information for model training Avoid tools that lack explainability or accountability—especially those that cannot guarantee data privacy. Establish Structured Governance Governance isn't just about rules—it's about clarity and oversight. Develop a well-articulated framework that includes: Defined roles and responsibilities for AI oversight Risk assessment protocols Integration with existing compliance and IT governance structures Make sure AI governance is not siloed. Those managing AI tools should be at the table during strategic planning and implementation. Educate and Engage Education is the cornerstone of responsible AI use. Employees need to understand not just the risks, but also the right way to use AI tools. Offer formal training, create open forums for discussion, and build a culture of transparency. When people feel informed and supported, they're more likely to choose safe, approved tools. Protect PHI with Precision In clinical workflows, PHI is often unavoidable. That's why it's critical to: Deidentify patient data whenever possible Ensure only authorized systems, processes, and personnel have access to PHI Maintain up-to-date business associate agreements and data processing contracts

In this special crossover episode with the brand-new Embedded AI Podcast, Luca and Jeff are joined by Ryan Torvik, Luca's co-host on the Embedded AI podcast, to explore the intersection of AI-powered development tools and agile embedded systems engineering. The hosts discuss practical strategies for using Large Language Models (LLMs) effectively in embedded development workflows, covering topics like context management, test-driven development with AI, and maintaining code quality standards in safety-critical systems. The conversation addresses common anti-patterns that developers encounter when first adopting LLM-assisted coding, such as "vibe coding" yourself off a cliff by letting the AI generate too much code at once, losing control of architectural decisions, and failing to maintain proper test coverage. The hosts emphasize that while LLMs can dramatically accelerate prototyping and reduce boilerplate coding, they require even more rigorous engineering discipline - not less. They discuss how traditional agile practices like small commits, continuous integration, test-driven development, and frequent context resets become even more critical when working with AI tools. For embedded systems engineers working in safety-critical domains like medical devices, automotive, and aerospace, the episode provides valuable guidance on integrating AI tools while maintaining deterministic quality processes. The hosts stress that LLMs should augment, not replace, static analysis tools and human code reviews, and that developers remain fully responsible for AI-generated code. Whether you're just starting with AI-assisted development or looking to refine your approach, this episode offers actionable insights for leveraging LLMs effectively while keeping the reins firmly in hand. ## Key Topics * [03:45] LLM Interface Options: Web, CLI, and IDE Plugins - Choosing the Right Tool for Your Workflow* [08:30] Prompt Engineering Fundamentals: Being Specific and Iterative with LLMs* [12:15] Building Effective Base Prompts: Learning from Experience vs. Starting from Templates* [16:40] Context Window Management: Avoiding Information Overload and Hallucinations* [22:10] Understanding LLM Context: Files, Prompts, and Conversation History* [26:50] The Nature of Hallucinations: Why LLMs Always Generate, Never Judge* [29:20] Test-Driven Development with AI: More Critical Than Ever* [35:45] Avoiding 'Vibe Coding' Disasters: The Importance of Small, Testable Increments* [42:30] Requirements Engineering in the AI Era: Becoming More Specific About What You Want* [48:15] Extreme Programming Principles Applied to LLM Development: Small Steps and Frequent Commits* [52:40] Context Reset Strategies: When and How to Start Fresh Sessions* [56:20] The V-Model Approach: Breaking Down Problems into Manageable LLM-Sized Chunks* [01:01:10] AI in Safety-Critical Systems: Augmenting, Not Replacing, Deterministic Tools* [01:06:45] Code Review in the AI Age: Maintaining Standards Despite Faster Iteration* [01:12:30] Prototyping vs. Production Code: The Superpower and the Danger* [01:16:50] Shifting Left with AI: Empowering Product Owners and Accelerating Feedback Loops* [01:19:40] Bootstrapping New Technologies: From Zero to One in Minutes Instead of Weeks* [01:23:15] Advice for Junior Engineers: Building Intuition in the Age of AI-Assisted Development ## Notable Quotes > "All of us are new to this experience. Nobody went to school back in the 80s and has been doing this for 40 years. We're all just running around, bumping into things and seeing what works for us." — Ryan Torvik > "An LLM is just a token generator. You stick an input in, and it returns an output, and it has no way of judging whether this is correct or valid or useful. It's just whatever it generated. So it's up to you to give it input data that will very likely result in useful output data." — Luca Ingianni > "Tests tell you how this is supposed to work. You can have it write the test first and then evaluate the test. Using tests helps communicate - just like you would to another person - no, it needs to function like this, it needs to have this functionality and behave in this way." — Ryan Torvik > "I find myself being even more aggressively biased towards test-driven development. While I'm reasonably lenient about the code that the LLM writes, I am very pedantic about the tests that I'm using. I will very thoroughly review them and really tweak them until they have the level of detail that I'm interested in." — Luca Ingianni > "It's really forcing me to be a better engineer by using the LLM. You have to go and do that system level understanding of the problem space before you actually ask the LLM to do something. This is what responsible people have been saying - this is how you do engineering." — Ryan Torvik > "I can use LLMs to jumpstart me or bootstrap me from zero to one. Once there's something on the screen that kind of works, I can usually then apply my general programming skill, my general engineering taste to improve it. Getting from that zero to one is now not days or weeks of learning - it's 20 minutes of playing with it." — Jeff Gable > "LLMs are fantastic at small-scale stuff. They will be wonderful at finding better alternatives for how to implement a certain function. But they are absolutely atrocious at large-scale stuff. They will gleefully mess up your architecture and not even notice because they cannot fit it into their tiny electronic brains." — Luca Ingianni > "Don't be afraid to try it out. We're all noobs to this. This is the brave noob world of AI exploration. Be curious about it, but also be cautious about it. Don't ever take your hands off the reins. Trust your engineering intuition - even young folks that are just starting, trust your engineering intuition." — Ryan Torvik > "As the saying goes, good judgment comes from experience. Experience comes from bad judgment. You'll find spectacular ways of messing up - that is how you become a decent engineer. LLMs do not change that. Junior engineers will still be necessary, will still be around, and they will still evolve into senior engineers eventually after they've fallen on their faces enough times." — Luca Ingianni  You can find Jeff at https://jeffgable.com.You can find Luca at https://luca.engineer.Want to join the agile Embedded Slack? Click hereAre you looking for embedded-focused trainings? Head to https://agileembedded.academy/Ryan Torvik and Luca have started the Embedded AI podcast, check it out at https://embeddedaipodcast.com/

Episode Summary:We kick off with an impressive AI-generated intro from Suno's newly released V5 model, showcasing how far AI music creation has come. The conversation quickly shifts to hands-on hardware reviews, with Will sharing his one-week impressions of the iPhone 17 Pro Max (in orange) and both of us discussing the new AirPods Pro 3. From iOS 26 performance quirks to the practical realities of running beta software on production devices, we cover the full spectrum of Apple's latest releases. The episode wraps with an extended discussion on electric vehicle charging strategies, vehicle-to-grid technology, and why Brandt might finally be warming up to those Rivian headlights.Discussions Include:Suno's V5 model release and whether the $20/month subscription is worth it for better AI music generationReal-world impressions of iPhone 17 Pro Max and iOS 26 after a week of daily useAirPods Pro 3 features, including hearing aid functionality and adaptive transparency modeElectric vehicle charging economics and the future of vehicle-to-grid technologyQuotable Quotes (Should you choose to share):"You handed a caveman a flame- and then took it away from him." - Will Curran"I noticed that iOS 26 just runs better on it. This is what I'm noticing- with my being in the iPhone upgrade program is that I'll do the beta, I run it on my 16 Pro or Pro Max, whatever it is, and I notice slight performance issues." - Will Curran"Every time [a Rivian] drives by me and I'm like, well, it's actually not that bad looking. It's like, it's wearing me down... I can't get past the headlights. Weeelllll, I might be able to get past the headlights." - Brandt Krueger"So the guy basically insinuates 'I'm on the employer's dime. I'm going to be charging my car and then I'll just go back and sell it back to the grid and make a profit,' heheh..." - Will Curran

Send us a textWhy are billions of people still invisible in genomic research—and what does that mean for the future of precision medicine?In this episode, I sit down with Victor Angel Mosti, founder and CEO of Omica.Ai, for one of the most insightful conversations I've recorded about data equity and building ethical, community-centered AI.Victor shares not only his personal cancer story but also the staggering truth: Hispanic and Latino populations make up less than 1% of genomic datasets. This underrepresentation isn't just a data gap—it's a clinical risk.We dive into disparities between healthcare systems, the promise of digital pathology as a low-cost entry point, the dangers of “parachute science,” and how Victor is building a living, ethical, transparent biobank through Omica. AI—built for true precision medicine rooted in community trust.Highlights with Timestamps[00:00–01:40] Personal cancer experiences and diagnostic uncertainty[01:40–06:50] Victor's medical journey across Mexico and the U.S.[06:50–11:42] The digitization gap: empathy vs. tech[11:42–16:43] The “coffee diversity” metaphor for genomic diversity[16:43–19:34] Funding disparities & the biotech cold-start problem[19:34–25:44] Digital pathology as a gateway to precision medicine[25:44–31:44] Avoiding “parachute science” and building community-first research[31:44–36:05] The Nagoya Protocol and benefit-sharing[36:05–41:47] Omica.Ai's work, goals, and clinical-embedded approach[41:47–49:36] Creating future-proof, embedded biobanks[49:36–53:35] Blockchain for transparency and patient trust[53:35–54:39] Victor's call to action: collaborate, include, and stay humanResources from This EpisodeOmica.Ai – Community-driven precision medicine platformNagoya Protocol – Framework for equitable biological useKey InsightsCancer is personal—even for experts

Now on Spotify Video! While working at Google X, Mo Gawdat witnessed artificial intelligence advancing faster than anyone expected and slipping beyond human control. Machines began learning on their own, crossing critical boundaries, and spreading across the open internet without ethical safeguards or regulation. This realization turned him into a leading advocate for responsible AI development. In this episode, Mo reveals how AI is reshaping our world, the urgent risks it presents, and how we can guide it toward a future that benefits humanity. In this episode, Hala and Mo will discuss: (00:00) Introduction (01:30) Mo's Journey in Tech and Google X (07:56) His Awakening to AI's Power (12:13) Is Artificial Intelligence Truly Artificial? (19:04) How AI Already Controls Your Reality (25:36) The Self-Learning Power of Artificial Intelligence (33:48) AI's Three Unbreakable Boundaries (40:34) Why Humanity Can't Stop AI Development (47:49) AI Risks and the Future of Work (57:03) Emotional Intelligence in the AI Era (1:05:49) Thriving Ethically in the Age of AI in Action Mo Gawdat is a renowned AI expert, author, and former Chief Business Officer at Google X. He has over 30 years of experience in technology and entrepreneurship and helped launch more than 100 Google businesses across emerging markets. Mo now hosts the top-rated podcast Slo Mo and advocates for the safe and ethical development of technology. His book, Scary Smart, explores how humanity can wisely guide the rise of artificial intelligence. Sponsored By: Indeed - Get a $75 sponsored job credit to boost your job's visibility at Indeed.com/PROFITING  Shopify - Start your $1/month trial at Shopify.com/profiting.  Quo - Get 20% off your first 6 months at Quo.com/PROFITING  Revolve - Head to REVOLVE.com/PROFITING and take 15% off your first order with code PROFITING  Merit Beauty - Go to meritbeauty.com to get your free signature makeup bag with your first order.  DeleteMe - Remove your personal data online. Get 20% off DeleteMe consumer plans at to joindeleteme.com/profiting  Spectrum Business - Visit Spectrum.com/FreeForLife to learn how you can get Business Internet Free Forever. Airbnb - Find yourself a cohost at airbnb.com/host  Resources Mentioned: Mo's Linkedin: linkedin.com/in/mogawdat  Mo's Instagram: instagram.com/mo_gawdat Mo's Website: mogawdat.com  Mo's Book, Scary Smart: bit.ly/-ScarySmart  Mo's Podcast, Slow Mo:bit.ly/SloMo-apple  Active Deals - youngandprofiting.com/deals  Key YAP Links Reviews - ratethispodcast.com/yap YouTube - youtube.com/c/YoungandProfiting Newsletter - youngandprofiting.co/newsletter  LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Social + Podcast Services: yapmedia.com Transcripts - youngandprofiting.com/episodes-new  Entrepreneurship, Entrepreneurship Podcast, Business, Business Podcast, Self Improvement, Self-Improvement, Personal Development, Starting a Business, Strategy, Investing, Sales, Selling, Psychology, Productivity, Entrepreneurs, AI, Artificial Intelligence, Technology, Marketing, Negotiation, Money, Finance, Side Hustle, Startup, Mental Health, Career, Leadership, Mindset, Health, Growth Mindset, ChatGPT, AI Marketing, Prompt, AI in Business, Generative AI, AI for Entrepreneurs, AI Podcast

At JupyterCon 2025, Jupyter Deploy was introduced as an open source command-line tool designed to make cloud-based Jupyter deployments quick and accessible for small teams, educators, and researchers who lack cloud engineering expertise. As described by AWS engineer Jonathan Guinegagne, these users often struggle in an “in-between” space—needing more computing power and collaboration features than a laptop offers, but without the resources for complex cloud setups. Jupyter Deploy simplifies this by orchestrating an entire encrypted stack—using Docker, Terraform, OAuth2, and Let's Encrypt—with minimal setup, removing the need to manually manage 15–20 cloud components. While it offers an easy on-ramp, Guinegagne notes that long-term use still requires some cloud understanding. Built by AWS's AI Open Source team but deliberately vendor-neutral, it uses a template-based approach, enabling community-contributed deployment recipes for any cloud. Led by Brian Granger, the project aims to join the official Jupyter ecosystem, with future plans including Kubernetes integration for enterprise scalability. Learn more from The New Stack about the latest in Jupyter AI development: Introduction to Jupyter Notebooks for DevelopersDisplay AI-Generated Images in a Jupyter Notebook Join our community of newsletter subscribers to stay on top of the news and at the top of your game.   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

How Can B2B Marketers and Sales Teams Strengthen Results by Slowing Down Their Content Strategy?In this episode of B2B Marketing Excellence & AI, Donna Peterson shares an honest reflection on her lifelong tendency to rush, whether lifting weights or creating marketing campaigns, and what it taught her about strength, patience, and long-term results.Donna explains how slowing down helped her focus on what truly matters and how that same mindset applies to B2B marketing and sales alignment. When teams take time to understand their audience, measure what is working, and give each message more meaning, they build stronger relationships and measurable results. It is not about doing more; it is about doing what matters well.Through this episode, listeners will discover how slowing down their B2B marketing strategy can lead to greater clarity, trust, and long-term sales success. Donna encourages marketers and sales professionals to pause, reflect, and give each message the attention it deserves, because meaningful connections take time to build.Key Takeaways:Review your recent campaigns. Ask: Was this content created for output or for outcome? Identify what truly resonated with your audience and what felt rushed. Taking the time to reflect helps uncover insights that strengthen future marketing results.Add more weight to your message. Instead of producing high-volume, low-value content, focus on meaningful, insight-driven pieces that solve real problems and strengthen trust. Depth creates credibility and lasting impact.Establish a sustainable rhythm. Develop a steady pace for marketing and sales efforts that allows time for reflection, collaboration, and improvement. Consistency with purpose leads to stronger relationships, better alignment, and more qualified opportunities.Donna also highlights how AI tools can support this process by analyzing engagement patterns and helping teams spend more time building authentic connections. Using AI in B2B marketing strategy allows marketers to stay thoughtful and intentional without losing the human element.This episode will inspire B2B marketers and sales teams to slow down, focus on quality over quantity, and strengthen results through genuine, relationship-based marketing.Timestamps:00:00 Introduction: Are You Rushing Your Marketing?00:14 Personal Story: Fitness and Marketing Parallels00:58 The Problem with Rushing in Marketing02:15 The Importance of Slowing Down03:08 Creating Meaningful Content04:37 Building Trust with Your Audience05:45 Steps to Improve Your Marketing Strategy14:55 The Role of AI in Marketing16:29 Establishing a Sustainable Marketing Rhythm21:56 Conclusion: Authenticity and Long-Term SuccessContact Information: *** Reach out to dpeterson@worldinnovators.comif you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams. *** Visit www.worldinnovators.comfor more resources on building stronger marketing and leadership strategies. *** Subscribe to the B2B Marketing Excellence & AI Podcast for weekly insights into marketing, leadership, and the future of AI.

Episode Summary: Brandt and Will kick things off with more AI-generated podcast music experiments, comparing Suno and Eleven Labs for creating that perfect intro sound. The conversation shifts to Meta's latest copyright controversies involving torrented content, then lands squarely in Apple territory as Will unboxes his brand new iPhone Pro Max live on the podcast. Between discussions of Colorware customization options for black AirPods, and iOS 26 installation regrets, we explore the tension between AI creativity and copyright protection, all while celebrating (and occasionally lamenting) our gadget obsessions.Discussions Include:The challenges of getting AI music generators to understand style without naming specific artistsMeta's latest copyright troubles and what they might mean for AI training on musicWill's live unboxing of the new AirPods Pro 3 in orange, complete with first impressionsColorware customization pricing and the eternal quest for black AirPodsWhy you shouldn't install iOS 26 on production devices (Will learned this the hard way)Quotable Quotes (Should you choose to share): "I love music and all of this kind of stuff. And I get it, right? We don't want to be able to just type in, make a Fatboy Slim song... But I'm just trying to say, I like the style of Fatboy Slim. I'm not trying to pass anything off as being a Fatboy Slim song." - Brandt Krueger"It is crazy how smart the AI is getting now though, if you ask it to describe the music, it pulls out specific instruments and notes and stuff like that." - Will Curran"Do not install it on your production machines. I made a really dumb decision." - Will Curran (regarding MacOX Tahoe)"I've never liked the [AirPod] design with that stick sticking out. Like as dorky as my Bose look... I mean, on the plus side, you can see it sticking out of a tech's ear from 20 feet away." - Brandt Krueger

Now on Spotify Video! As a Stanford AI scientist, Dr. Fei-Fei Li realized that artificial intelligence had advanced to a point where it was transforming society faster than most people could understand. Confronted with the ethical, social, and economic risks of this rapid growth, she felt a deep responsibility to guide AI toward serving humanity. This inspired her to co-found the Stanford Institute for Human-Centered AI, developing a framework that prioritizes humankind. In this episode, Dr. Fei-Fei shares how we can harness AI responsibly and design technology that enhances, not replaces, human potential. In this episode, Hala and Dr. Fei-Fei will discuss: (00:00) Introduction (02:33) The Evolution and Limits of Artificial Intelligence (09:56) How AI Models Like ChatGPT Are Trained (14:12) Dr. Fei-Fei's Journey and Responsibility in AI (19:15) How Computer Vision Brings AI to Life (25:59) Ethical AI, Human Dignity, and the Future of Work (32:57) The Three Pillars of Human-Centered AI (35:10) Confronting Fears of AI in Action (39:59) AI in Business: How Entrepreneurs Can Thrive  Dr. Fei-Fei Li is a professor of computer science at Stanford University and co-director of the Stanford Institute for Human-Centered AI. Her groundbreaking work in computer vision AI has shaped how machines see and understand the world. Dr. Fei-Fei is the author of The World's I See, a memoir that weaves together her personal journey with the history and development of artificial intelligence. Sponsored By: Indeed - Get a $75 sponsored job credit to boost your job's visibility at Indeed.com/PROFITING  Shopify - Start your $1/month trial at Shopify.com/profiting.  Quo - Get 20% off your first 6 months at Quo.com/PROFITING  Revolve - Head to REVOLVE.com/PROFITING and take 15% off your first order with code PROFITING  Merit Beauty - Go to meritbeauty.com to get your free signature makeup bag with your first order.  DeleteMe - Remove your personal data online. Get 20% off DeleteMe consumer plans at to joindeleteme.com/profiting  Spectrum Business - Visit Spectrum.com/FreeForLife to learn how you can get Business Internet Free Forever. Airbnb - Find yourself a cohost at airbnb.com/host  Resources Mentioned: Dr. Fei-Fei's Book, The Worlds I See: bit.ly/WorldsISee  Stanford Human-Centered AI Institute Website: hai.stanford.edu/  Active Deals - youngandprofiting.com/deals  Key YAP Links Reviews - ratethispodcast.com/yap YouTube - youtube.com/c/YoungandProfiting Newsletter - youngandprofiting.co/newsletter  LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Social + Podcast Services: yapmedia.com Transcripts - youngandprofiting.com/episodes-new  Entrepreneurship, Entrepreneurship Podcast, Business, Business Podcast, Self Improvement, Self-Improvement, Personal Development, Starting a Business, Strategy, Investing, Sales, Selling, Psychology, Productivity, Entrepreneurs, AI, Artificial Intelligence, Technology, Marketing, Negotiation, Money, Finance, Side Hustle, Startup, Mental Health, Career, Leadership, Mindset, Health, Growth Mindset, AI Marketing, Prompt, Generative AI, AI for Entrepreneurs, AI Podcast

阿榕伯與曼報的Manny和Angela特別合作節目，帶你了解阿榕伯究竟是如何從熱門的阿榕伯胡說科技Podcast催生出每週出刊的《胡說科技》。 這份全新上線的數位訂閱服務聚焦在深度解析台灣及全球科技產業，特別是半導體領域。阿榕伯憑藉 2005 年起深入半導體學習的扎實基礎，以及許多「養」了很久的線民，提供獨家、深刻的觀點與分析，不談花俏技術，不用行話堆疊，每週一篇，希望讓讀者在短時間掌握影響決策的科技動向。 訂閱《胡說科技》，您將獲得： ▪️ 精闢科技解讀： 每週深入剖析關鍵科技大事，助您洞悉產業脈動。 ▪️ 產業趨勢洞察： 聚焦半導體與AI，從產業與商業交叉視角，解析未來走向。 ▪️ 獨家業界觀點： 整合專家訪談與幕後資訊，提供第一手觀察與策略參考。 ▪️ 專屬訂戶權益： 不定期活動參與及獨家內容。 ＊聽天下Podcast聽眾訂閱《胡說科技》3 個月體驗價只要 $790（原價$900）：https://bit.ly/4hQEYR8 ＊意見信箱：bill@cw.com.tw -- Hosting provided by SoundOn

Episode Title: What Digital Shifts for Small B2B Teams Make the Biggest Impact?Host: Donna Peterson, World InnovatorsGuest: Josh Blankenship | OuterBoxEpisode Length: 41 min 41 secEpisode Overview:When sales and marketing aren't aligned, it drags out an already long B2B sales process. But when small teams connect those dots, and use AI intelligently, the results are transformational.In this episode, Donna Peterson sits down with Josh Blankenship of OuterBox to talk about:Aligning sales & marketing without a big budgetSimple digital shifts that make a measurable impactPractical, trustworthy ways to use AI in B2BHow small B2B teams can compete with larger brandsIf you lead a small marketing or sales team, this episode will show you how to simplify your digital strategy, strengthen relationships, and grow smarter, not just bigger.Timestamps:00:00 – Intro: Why sales & marketing alignment still matters03:20 – The real cost of working in silos06:45 – Practical ways to get sales & marketing on the same page12:30 – How leaders can create shared goals and teamwork18:15 – AI in B2B: Staying personal while moving fast24:00 – Using MQL & SQL metrics for smarter decision-making30:40 – Website changes that increase qualified B2B leads36:00 – AI agents, lead scoring, and scaling smart40:00 – Final thoughts: Trust, teamwork & small shifts with big resultsKey Takeaways:Sales + Marketing = Growth: Bring both departments together with one shared goal.Define quality: Use MQL and SQL scoring to measure what really works.Website wins: Make contact easy and de-risk the process for prospects.AI as a coach, not a replacement: Use AI for feedback and consistency, not mindless automation.Focus beats flash: Small B2B teams can compete by staying focused on clarity and authentic communication.Josh's Bio:Josh Blankenship is Director of Business Development at OuterBox and a recognized voice on aligning sales and marketing and using practical AI where it fits. He has helped hundreds of B2B and industrial organizations grow, diversify, and scale by differentiating digitally and integrating strategies across channels, including Technical SEO, content, paid media, email automation, UX, attribution, and tight sales and marketing alignment.  Contact:Josh Blankenshipjblankenship@outerbox.comwww.Outerbox.comResources MentionedThe 4 Disciplines of Execution by Chris McChesney & Sean Covey *** Reach out to dpeterson@worldinnovators.comif you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams. *** Visit www.worldinnovators.comfor more resources on building stronger marketing and leadership strategies. *** Subscribe to the B2B Marketing Excellence & AI Podcast for weekly insights into marketing, leadership, and the future of AI.

Episode: Use AI to Uncover What Your B2B Audience Is Really AskingHost: Donna Peterson, Owner & President, World InnovatorsLength: 25:46Episode SummaryMost brands still publish first and pray later. In this episode, Donna shows a better path: start with the exact questions your audience is already asking, then use AI to surface, validate, and organize those questions into high-performing content across podcast, blog, email, social, and newsletters.You'll learn simple, practical ways to capture questions from trade shows, sales calls, customer service, and transcripts, then turn them into long-tail, low-competition topics your team can rank for and build trust with- especially for high-consideration B2B offers like industrial equipment, executive education, and auctions. Donna walks through a lightweight workflow using ChatGPT, AnswerThePublic/AlsoAsked, SEMrush, and Fathom to: (1) mine questions, (2) check search viability, (3) outline content, and (4) repurpose it- without losing your human voice. She closes with a weekly cadence you can actually stick to: one question, one pillar, many derivatives.Key Takeaways You Can Implement Right Away:Lead with questions, not products. Your buyer journey starts in a search box- mirror their wording.Go where questions happen. Trade shows, hallway chats, sessions, sales calls, support tickets, meeting transcripts.Use AI as an assistant, not an autopilot. Let AI help mine questions, draft outlines, and keep message consistency- then add your expertise and tone.Target long-tail intent. Prioritize specific, low-volume queries you can actually rank #1 for and win qualified demand.Centralize questions. Keep a shared sheet so podcast, blog, email, and social all build on the same weekly question.Repurpose by design. One question → podcast → blog → LinkedIn posts → email → monthly recap newsletter.Align with services. Choose questions that help, and map to what you sell- value plus relevance.Keep it simple. Start with one question per week; consistency beats complexity.Episode Chapters:00:00 Why audiences respond to questions (and trust grows when you answer them)03:10 Where to find real questions: shows, sessions, coffee chats, sales & support07:05 AI toolkit: ChatGPT, AnswerThePublic/AlsoAsked, SEMrush, Fathom transcripts12:00 Turning questions into outlines, posts, emails, and a monthly recap16:15 Long-tail strategy for niche B2B topics (and avoiding broad, crowded keywords)19:20 Examples by segment: manufacturing, exec ed, industrial auctions22:10 Team workflow: shared question log, role alignment, and repurposing rhythm24:05 Don't overcomplicate: the “one question per week” modelTools Mentioned:ChatGPT (ideation, audience challenges, outline drafts)AnswerThePublic / AlsoAsked (question discovery)SEMrush (difficulty/volume checks, long-tail targets)Fathom (meeting notes + AI summaries to extract top questions)Call to Action:Want help building a “one-question” content system that consistently attracts the right leads? *** Reach out to dpeterson@worldinnovators.comif you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams. *** Visit www.worldinnovators.comfor more resources on building stronger marketing and leadership strategies. *** Subscribe to the B2B Marketing Excellence & AI Podcast for weekly insights into marketing, leadership, and the future of AI.

In this episode, Kai Biami and Spencer Powell delve into the complexities of modern SEO, focusing on the acronyms GEO, AEO, and EAT. They discuss the importance of establishing credibility through EAT, the technical aspects of optimizing for AI search engines, and the shift from traditional keyword strategies to answering real questions posed by potential clients. The conversation emphasizes practical tips for implementing these strategies, including the use of project spotlight pages and the significance of maintaining consistent business information across directories. The hosts encourage listeners to adapt to the evolving landscape of SEO and AI search, highlighting the importance of creating valuable content that resonates with audiences.

Episode Title: Data That Delivers: Governance & Authentic AI ContentHost: Donna Peterson, Owner & President of World InnovatorsGuest: David Clemen, Editor & Publisher of Global Market NewsEpisode Summary-In this episode, host Donna Peterson sits down with David Clemen, Editor and Publisher of Global Market News, to unpack what truly drives database performance in 2025 and why the era of “bigger is better” lists is over.Together they explore how data governance, clear naming conventions, and regular list cleaning lead to more engagement, better ROI, and fewer headaches. From removing “dead wood” contacts to documenting how lead sources are named, David explains the real-world steps that keep data reliable, even as titles and roles change faster than ever.The conversation also dives deep into AI's role in modern publishing and marketing: how it can amplify productivity but never replace human insight. Donna and David discuss the fine line between efficiency and authenticity, warning that unverified, AI-generated content can damage brand credibility.Finally, they reflect on leadership, honesty, and trust- both within teams and with readers. From setting clear standards to saying “no” to misfit advertisers, this episode is packed with practical lessons on maintaining integrity in an era of automation and noise.Key Takeaways You Can Implement Right Away-Establish data governance early. Create clear naming conventions and rules for list maintenance, updates, and deletions.Purge or “hibernate” dead contacts. An oversized list with low engagement hurts deliverability and performance.Refresh your data regularly. Titles and roles evolve rapidly- outdated data equals missed opportunities.Focus on engagement, not vanity metrics. A smaller, active audience delivers higher open rates and ROI.Partner with credible publishers. Industry publishers like Global Market News maintain vetted, engaged, and compliant databases.Use AI responsibly. Treat AI as a junior assistant- great for ideas and speed, but always review for accuracy and tone.Lead with integrity. Transparency and honesty with your team and audience build long-term trust and brand strength.Episode Chapters-00:00 Why clean, governed data outperforms big lists05:00 The 23 spellings of one lead source- how naming chaos kills insights10:30 Cutting “dead wood” and setting re-engagement rules15:00 Why frequent updates are critical in a fast-changing job market19:30 The AI advantage: faster workflows without losing your voice25:30 Maintaining credibility: saying no to misfit advertisers28:30 Leadership & trust: no white lies, clear feedback, real teamworkBio- David Clemen is the Editor and Publisher of Global Market News, where he leads editorial strategy, audience growth, and media partnerships for one of the fastest-scaling investor news platforms in the U.S. A 20-year digital media veteran, he has built and monetized audiences in finance, technology, and B2B media, growing subscriber bases into the millions and generating eight-figure revenue through content, sponsorships, and lead-gen programs. David's work sits at the intersection of media, trust, and monetization, and his leadership reflects a deep understanding of how brands earn credibility in an AI-saturated world. Email: dclemen@globalmarketnews.comCall to Action-Stop chasing database size- start building relationships that convert. If you're ready to strengthen your data governance, refine your email lists, or apply AI responsibly in your marketing, contact us below. *** Reach out to dpeterson@worldinnovators.comif you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams. *** Visit www.worldinnovators.comfor more resources on building stronger marketing and leadership strategies. *** Subscribe to the B2B Marketing Excellence & AI Podcast for weekly insights into marketing, leadership, and the future of AI.

Ganesh Padmanabhan is the Founder & CEO of Autonomize AI.After eleven years scaling infrastructure at Dell, Ganesh took on healthcare's biggest problem—an industry drowning in data but struggling to use it. We're discussing AI agents, healthcare transformation, and why patients believe healthcare has deteriorated despite all the technological innovation.⭐ Sponsored by Podcast10x - Podcasting agency for VCs - https://podcast10x.comAutonomize AI - https://autonomize.ai/Ganesh Padmanabhan on Linkedin - https://www.linkedin.com/in/padmanabhan/Stories in AI Podcast - https://www.storiesinai.com/

Now on Spotify Video! Mustafa Suleyman's journey to becoming one of the most influential figures in artificial intelligence began far from a Silicon Valley boardroom. The son of a Syrian immigrant father in London, his early years in human rights activism shaped his belief that technology should be used for good. That vision led him to co-found DeepMind, acquired by Google, and later launch Inflection AI. Now, as CEO of Microsoft AI, he explores the next era of AI in action. In this episode, Mustafa discusses the impact of AI in business, how it will transform the future of work, and even our relationships. In this episode, Hala and Mustafa will discuss: (00:00) Introduction(02:42) The Coming Wave: How AI Will Disrupt Everything(06:45) Artificial Intelligence as a Double-Edged Sword (11:33) From Human Rights to Ethical AI Leadership(15:35) What Is AGI, Narrow AI, and Hallucinations of AI?(24:15) Emotional AI and the Rise of Digital Companions(33:03) Microsoft's Vision for Human-Centered AI(41:47) Can We Contain AI Before Its Revolution?(48:33) The Future of Work in an AI-Powered World(52:22) AI in Business: Advice for Entrepreneurs Mustafa Suleyman is the CEO of Microsoft AI and a leading figure in artificial intelligence. He co-founded DeepMind, one of the world's foremost AI research labs, acquired by Google, and went on to co-found Inflection AI, a machine learning and generative AI company. He is also the bestselling author of The Coming Wave. Recognized globally for his influence, Mustafa was named one of Time's 100 most influential people in AI in both 2023 and 2024. Sponsored By: Indeed - Get a $75 sponsored job credit to boost your job's visibility at Indeed.com/PROFITING  Shopify - Start your $1/month trial at Shopify.com/profiting.  Mercury streamlines your banking and finances in one place. Learn more at mercury.com/profiting. Mercury is a financial technology company, not a bank. Banking services provided through Choice Financial Group, Column N.A., and Evolve Bank & Trust; Members FDIC. Quo - Get 20% off your first 6 months at Quo.com/PROFITING  Revolve - Head to REVOLVE.com/PROFITING and take 15% off your first order with code PROFITING  Framer- Go to Framer.com and use code PROFITING to launch your site for free.  Merit Beauty - Go to meritbeauty.com to get your free signature makeup bag with your first order.  Pipedrive - Get a 30-day free trial at pipedrive.com/profiting  Airbnb - Find yourself a cohost at airbnb.com/host  Resources Mentioned: Mustafa's Book, The Coming Wave: bit.ly/TheComing_Wave  Mustafa's LinkedIn: linkedin.com/in/mustafa-suleyman  Active Deals - youngandprofiting.com/deals  Key YAP Links Reviews - ratethispodcast.com/yap YouTube - youtube.com/c/YoungandProfiting Newsletter - youngandprofiting.co/newsletter  LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Social + Podcast Services: yapmedia.com Transcripts - youngandprofiting.com/episodes-new  Entrepreneurship, Entrepreneurship Podcast, Business, Business Podcast, Self Improvement, Self-Improvement, Personal Development, Starting a Business, Strategy, Investing, Sales, Selling, Psychology, Productivity, Entrepreneurs, AI, Artificial Intelligence, Technology, Marketing, Negotiation, Money, Finance, Side Hustle, Startup, Mental Health, Career, Leadership, Mindset, Health, Growth Mindset, ChatGPT, AI Marketing, Prompt, AI for Entrepreneurs, AI Podcast

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By Adam Turteltaub The possibilities of AI don't stop with generative AI such as ChatGPT.  Agentic AI may have more potential for compliance teams, Zahra Timsah, co-founder and CEO of i-GENTIC AI tells us. Unlike generative AI, which is well known for its ability to create content, agentic AI can be used an internal enforcement agent.  Trained properly, she tells us, it can look for a potential violation and stop it.  For example, it can spot personal health information that is about to be transferred and redact the sensitive data automatically. This ability to step in and take action will, she believes, free compliance teams from many routine tasks and allow them to shift their focus to matters that are more complex and fall within the grey area.  It will also help teams speed up the rate in which new laws and regulations turn into effective internal policies. In addition, agentic AI will be able to produce measurable value by demonstrating what it can do to manage risk, improve trust and increase efficiency. Listen in to learn more about agentic AI's ability to improve your compliance program.

Event registrations are coming in later than ever- and for organizers of industrial auctions or executive education programs, that last-minute hesitation can make or break success. In this episode of the B2B Marketing Excellence & AI Podcast, host Donna Peterson dives into how marketers can adapt, creating campaigns that not only drive registrations but ensure people actually attend.Donna explains how email marketing remains the most dependable way to reach key decision-makers, especially when combined with AI to improve timing, segmentation, and message clarity. You'll learn how to build awareness early, craft value-based reminders, and simplify your calls-to-action so even the busiest professionals follow through.From understanding long approval chains to empowering your recipients to become your internal advocates, this episode shows how empathy, planning, and AI-supported consistency turn one-off promotions into campaigns that fill high-value events and strengthen long-term relationships.Key Takeaways You Can Implement Right Away:Start early. Launch your awareness campaign well before your deadline—auctions: 4+ weeks; education: 3–6 months.Educate, don't sell. Provide value that helps recipients make informed decisions and advocate internally.Use AI to assist. Let AI help you plan cadence, segment your list, and build cohesive message series.Make reminders cumulative. Each message should build momentum, not restart the story.Simplify every action. Clear buttons, short text, and visible deadlines ensure people act fast.Add empathy and consistency. Show genuine care — not pressure — so your audience trusts your brand.Episode Chapters:00:00 The new challenge: Late registrations & busy schedules02:00 Why high-value events need longer lead time and smarter planning05:30 Using email and AI to drive awareness, approval, and attendance10:00 The three pillars: Awareness, Reminders & Simplicity15:30 How to humanize your campaigns and guide decisions with empathy18:10 Closing thoughts & call to actionCall to Action:If your event campaigns aren't getting the results you need, it's time to slow down, plan smarter, and deliver value that earns trust. AI can help you stay consistent, but the heart of success is empathy and timing. *** Reach out to dpeterson@worldinnovators.comif you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams. *** Visit www.worldinnovators.comfor more resources on building stronger marketing and leadership strategies. *** Subscribe to the B2B Marketing Excellence & AI Podcast for weekly insights into marketing, leadership, and the future of AI.

“If responses aren't near real-time, the bot won't feel human.” — Ruchir Brahmbhatt, Co-Founder & CTO, Ecosmob Ruchir Brahmbhatt, Co-Founder and CTO of Ecosmob, joined Doug Green, Publisher of Technology Reseller News, to discuss the engineering behind human-like voicebots—where milliseconds make the difference between a smooth conversation and a frustrating one. With more than 18 years in VoIP and AI/ML development, Ecosmob builds custom voicebots for MSPs, ITSPs, and UCaaS/CCaaS providers seeking real-time automation and compliance. Brahmbhatt outlined how Ecosmob's architecture achieves sub-second latency through: Python async orchestration for thousands of concurrent sessions Redis in-memory queues for ultra-low-latency streaming NVIDIA Canary ASR and Kokoro TTS for fast, natural speech llama.cpp LLM engine with dynamic quantization for efficient processing In a live healthcare demo, Ecosmob's voicebot scheduled an appointment in natural, human-like dialogue—with total round-trip latency under 600 milliseconds. Brahmbhatt emphasized that modern contact centers are shifting from IVRs to AI-driven self-service, and that on-prem and GDPR-compliant deployments are increasingly essential. Learn more at ecosmob.com.

Harness co-founder Jyoti Bansal highlights a growing issue in software development: while AI tools help generate more code, they often create bottlenecks further along the pipeline, especially in testing, deployment, and compliance. Since its 2017 launch, Harness has aimed to streamline these stages using AI and machine learning. With the rise of large language models (LLMs), the company shifted toward agentic AI, introducing a library of specialized agents—like DevOps, SRE, AppSec, and FinOps agents—that operate behind a unified interface called Harness AI. These agents assist in building production pipelines, not deploying code directly, ensuring human oversight remains critical for compliance and security.Bansal emphasizes that AI in development isn't replacing people but accelerating workflows to meet tighter timelines. He also notes strong enterprise adoption, with even large, traditionally slower-moving organizations embracing AI integration. On the topic of an AI bubble, Bansal sees it as a natural part of innovation, akin to the Dotcom era, where market excitement can still lead to meaningful long-term transformation despite short-term volatility. Learn more from The New Stack about the latest in Harness' AI approach to software development: Harness AI Tackles Software Development's Real Bottleneck  Harnessing AI To Elevate Automated Software Testing Join our community of newsletter subscribers to stay on top of the news and at the top of your game.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

SORRY THE EPISODE IS LATE! The movie start to podcast pipeline, Spotify's founder Daniel Ek stepping down, discussing how one third of U.S. adults get their news from podcasts, do we just ask AI questions and not vet the answers? Playing with Sora 2, how to get your podcast promoted in Apple Podcasts Podcasts and of course stats: mean and median download numbers. Audience feedback drives the show. We'd love for you to contact us and keep the conversation going! Email thefeed@libsyn.com, call 412-573-1934 or leave us a message on Speakpipe! We'd love to hear from you!

Discover how Neurix is building the next generation of voice AI that sounds and reacts like a human in this conversation with Peeyush, former Google technologist and co-founder of Miracle Labs. Peeyush shares how Neurix is solving the toughest challenges in conversational AI — from eliminating latency to creating natural, real-time dialogue that mirrors human interaction. He explains why voice is the hardest frontier in AI, how Neurix's proprietary models manage conversation flow, and what it takes to integrate voice agents into enterprise systems at scale. Learn how Neurix is combining low-latency speech recognition, dialogue management, and large language models to deliver seamless, multilingual customer experiences. If you're a business leader, product builder, or AI professional interested in how human-like voice agents are transforming customer support and enterprise communication, this episode reveals the future of intelligent conversation.   Stay Updated: Craig Smith on X:https://x.com/craigss  Eye on A.I. on X: https://x.com/EyeOn_AI 

SORRY THE EPISODE IS LATE! The movie start to podcast pipeline, Spotify's founder Daniel Ek stepping down, discussing how one third of U.S. adults get their news from podcasts, do we just ask AI questions and not vet the answers? Playing with Sora 2, how to get your podcast promoted in Apple Podcasts Podcasts and of course stats: mean and median download numbers. Audience feedback drives the show. We'd love for you to contact us and keep the conversation going! Email thefeed@libsyn.com, call 412-573-1934 or leave us a message on Speakpipe! We'd love to hear from you!

In this episode of B2B Marketing Excellence & AI, Donna Peterson sits down with Bridgette Lehrer, the Global Audience Engagement Leader at UC Berkeley, to talk about what it really takes to build trust in higher education marketing today.They explore how to stay personal and purposeful as technology continues to evolve — and how a thoughtful balance between traditional and digital marketing can create a stronger sense of community.Bridgette shares practical ways her team nurtures long-term relationships with students, alumni, and colleagues across the world. From understanding cultural nuances in international outreach to creating personalized content powered by AI, she offers insights that every education marketer can apply right away.One of Donna's favorite examples is a simple but powerful traditional marketing initiative they use on campus: students take photos, then choose a few favorites to turn into postcards. During special events, everyone is invited to select a postcard and send it home to parents or friends. It's a small gesture that builds genuine connection — and gets the entire UC Berkeley community involved.Whether you manage executive education programs or global enrollment campaigns, this conversation will give you actionable ideas to:Blend digital tools with human touchpoints to strengthen relationships.Use AI for personalization without losing authenticity.Reimagine traditional tactics to bring people together in meaningful ways.The future of higher education marketing isn't about more technology — it's about using it wisely to stay human.Timestamps00:00 — Introduction: Staying Human in the Age of AI00:37 — Meet Bridgette Lehrer, UC Berkeley01:23 — Building Relationships in a Digital World02:58 — The Power of In-Person Connections04:52 — Adapting Marketing for Global Audiences08:40 — Using AI for Personalized Communication20:24 — The Importance of Video Content25:30 — Engaging Students and Alumni on Social Media28:39 — Closing Thoughts: Keeping Engagement AuthenticBridgette Lehrer Bio-LinkedIn: https://www.linkedin.com/in/bridgette-lehrer/Bridgette Lehrer is the Assistant Director for Marketing and Outreach with the Berkeley International Study Program, a study abroad option at the University of California, Berkeley for highly motivated exchange students. Since 2009, she has cultivated expertise in students' engagement, strategic marketing and outreach management with particular emphasis on international student recruitment and alumni relations. Prior to Berkeley, Bridgette worked in diverse industries including nonprofit fundraising, corporate marketing, and technology customer service. Her educational background includes a B.A. in Art History (Arizona State University), an M.A. in Museum Studies (San Francisco State University) and a Certificate in Digital Marketing (eCornell University).

Send us a textWhat happens when a robot colors the sun green? That playful mistake helps us unlock a bigger idea: AI needs you. Not as a spectator, but as the guide who brings context, empathy, and fairness.In this episode, Y stands for “You + AI.” We explore how people and AI work together in the real world, where speed and pattern spotting meet human judgment and care. We explain the idea of “human in the loop,” a simple way to make sure people stay in charge of goals, guardrails, and final decisions.You'll hear how AI helps doctors flag issues in X-rays while physicians decide treatment, supports teachers by grading routine work while educators respond to emotions and needs, and boosts artists by creating quick sketches while humans bring meaning and message. Along the way, we talk about bias, brittle rules, and why unchecked automation can lead to unfair results. The solution isn't magic code, it's a culture of curiosity, feedback, and review.We also share a fun family activity called “Who's in the Loop?” that helps kids practice spotting bad rules and adding nuance. Try saying “All fruit is round” and see how bananas save the day. Then talk together about where people and AI work as partners, when humans should have the final say, and which choices are safe to automate.Join us as we celebrate kids' questions, creativity, and courage, the real drivers of responsible AI. If we want smarter tools that serve people, your voice matters most.Subscribe, share this episode, and leave a review to help more families explore AI with curiosity and care.Resources:Sign up for the AiDigiCards waitlistFollow our KickstarterBig Emotions: Kids Listen Mashups About FeelingsSupport the showHelp us become the #1 podcast for AI for Kids.Buy our new book "Let Kids Be Kids, Not Robots!: Embracing Childhood in an Age of AI"Social Media & Contact: Website: www.aidigitales.com Email: contact@aidigitales.com Follow Us: Instagram, YouTube Gift or get our books on Amazon or Free AI Worksheets Listen, rate, and subscribe! Stay updated with our latest episodes by subscribing to AI for Kids on your favorite podcast platform. Apple Podcasts Amazon Music Spotify YouTube Other Like our content, subscribe or feel free to donate to our Patreon here: patreon.com/AiDigiTales...

We talk with Jeanine Wright about Inception Point AI. Sponsored by SoundStack. Heading to Programmatic I/O and/or Advertising Week NY? Let's talk fast, simple monetization to keep your podcast and streaming businesses growing. https://podnews.net/cc/3048 Visit https://podnews.net/update/jeanine-wright-interview for the story links in full, and to get our daily newsletter.

Discover the AI strategies that let business owners work smarter while growing faster. Get the rest of the special event details after listening to this joint-podcast episode at:  https://ProfitRichResults.com/ai-powered-empire Listen until the end for BLOOPERS In this comprehensive 90-minute conversation, Hall of Fame keynote speaker Ford Saeks and business strategist Randy Gage reveal the precise AI implementation strategies that are transforming the way independent professionals and small business owners operate.

The UBS AI Podcast explores the fascinating and evolving world of artificial intelligence, how it's transforming industries, redefining what's possible and reshaping the future. On this episode of the CEO Series, Ulrike Hoffmann-Burchardi, CIO Americas and Head of Global Equities for UBS Wealth Management, converses with Winston Weinberg, CEO and Co-Founder of Harvey.

Welcome to our weekly news round up, where we dig into some of the tech stories you might have missed. This week, Bridget is joined by guest co-host Ashley Ray, host of Courier's smart podcast "TV I Say." CBS just keeps caving harder and harder to appease the Trump administration. https://newrepublic.com/article/199889/kristi-noem-attack-cbs-kilmar-garcia-trump-scam Creator of porn site "Girls Do Porn" sentenced to 27 years for sex trafficking. https://www.theguardian.com/us-news/2025/sep/09/girlsdoporn-founder-27-year-prison-sentence-sex-trafficking 5,000 Podcasts. 3,000 Episodes a Week. $1 Cost Per Episode — Behind an AI Start Up’s Plan: https://www.hollywoodreporter.com/business/digital/ai-podcast-start-up-plan-shows-1236361367/ If you’re listening on Spotify, you can leave a comment there to let us know what you thought about these stories, or email us at hello@tangoti.com Follow Bridget and TANGOTI on social media! || instagram.com/bridgetmarieindc/ || tiktok.com/@bridgetmarieindc || youtube.com/@ThereAreNoGirlsOnTheInternet See omnystudio.com/listener for privacy information.See omnystudio.com/listener for privacy information.

Bret Taylor is the CEO of Sierra and Chairman of the Board of OpenAI. He previously served as co-CEO of Salesforce. I sat down with Bret to explore how the AI revolution compares to previous platform shifts and what it means for both startups and incumbents navigating this transition. (00:00) Introduction and Recent Milestone (00:38) AI Market and Historical Comparisons (02:30) Competitive Landscape and Business Models (06:02) Outcome-Based Pricing and Value Creation (13:52) Technological Shifts and Business Transitions (26:32) Adoption Challenges and Forward Deployed Engineering (37:21) Early Investment in Snowflake and Cloud Strategy (38:02) Enterprise Software Market Dynamics (38:38) AI Agents and Implementation Costs (41:06) Democratization of Software Development (43:35) The Future of Software Companies and AI Agents (49:36) Consumer Behavior and AI Agents (58:56) The Role of AI in Customer Experience (01:01:25) Career Advice in the Age of AI Executive Producer: Rashad Assir Mixing and editing: Justin Hrabovsky Check out Unsupervised Learning, Redpoint's AI Podcast: https://www.youtube.com/@UCUl-s_Vp-Kkk_XVyDylNwLA

This series is sponsored by Mira and Daniel Stokar.In this episode of the 18Forty Podcast, we speak with Rabbi DovBer Pinson—a scholar, author, teacher, and spiritual mentor—about how we can rethink teshuva in light of the challenges we face today.In this episode we discuss:What is the difference between “lower” and “higher” teshuva? How should the Jewish world recalibrate in the face of the recent rise in antisemitism?How can we learn to be better at loving the Jewish People, including the Jews with whom we have severe disagreements? Tune in to hear a conversation about what it means to return to our eternality in a rapidly changing world.Interview begins at 8:40.Rav DovBer Pinson is a world-renowned rabbi, scholar, author, teacher, and spiritual mentor. Through his books, lectures, and seminars he has touched and inspired the lives of thousands the world over. Rav Pinson is the Rosh Kolel of the IYYUN Yeshiva/Kolel, Marah D'asra of 84 Viola, and heads The IYYUN/CHABAD Center in Brownstone Brooklyn, New York.Topics (Produced by Sofer.AI):Podcast introduction and theme — 0:14Meeting Rav DovBer Pinson and his impact — 3:51Life as a text: looking for confluence — 7:00Introducing the discussion on teshuva — 8:42Lower vs. higher levels of teshuva — 10:27Diaspora, Israel connection, and shifting Jewish identity — 12:34Specific focus of teshuva for the Orthodox Jew — 16:00Modern identity collapse and reclaiming self — 17:29Agency and free choice in Judaism — 19:20Five dimensions of reality in Sefer Yetzirah — 20:23Orthodox world lagging by fifty years — 22:25Time vs. space: Mishnah acronym insight — 23:57Worries about Orthodox commitment and packaging — 26:05Yeshiva world as a train without an engine — 28:59Subconscious communication across Jewish communities — 30:29Peripheral origins vs. established Hasidic families — 31:49Understanding the relationship with the Land of Israel — 32:51Israel as a nation vs. a people — 34:05Collective awareness of shared destiny — 36:16Yeshiva League analogy and need for new language — 37:31Taking personal responsibility for all Israel — 41:36Tension between love for Jews and love for humanity — 43:03Unity of Torah, God, and Israel — 45:48Yeshiva learning without a structured curriculum — 47:37Rebbe's vision: every Jew as a shaliach — 49:43Mission of Judaism beyond meritocracy — 54:22Hope expressed in the daily prayer — 57:17Jewish calendar holds a Guinness record — 59:08Personal struggle with criticism over gay Jews — 60:13Pain from establishment and public backlash — 61:21Seeking trusted guidance to navigate criticism — 65:53Personal teshuva: reconciling with critics — 68:53Humility as source of creative innovation — 71:06Current crisis as catalyst for collective change — 73:11The Torah of the moment: Messiah and presence — 74:50Books that pose good questions — 75:51Future vision: every day becomes a holiday — 77:48Great-grandfather lineage in Chabad scholarship — 80:00Balancing Talmudic study with Chassidic heart — 81:43Fascination with French Jewry of the 12th century — 82:54Personal sleep schedule post-COVID — 84:16Facing personal criticism and baggage — 90:11Uniting through the Jewish community — 92:27References:18Forty Podcast: “Haym Soloveitchik: How Modernity Changed Our Relationship to God”18Forty Podcast: “Zohar Atkins: Between Philosophy and Torah”ZoharTanya Chapter 32AleinuFor more 18Forty:NEWSLETTER: 18forty.org/joinCALL: (212) 582-1840EMAIL: info@18forty.orgWEBSITE: 18forty.orgIG: @18fortyX: @18_fortyWhatsApp: join hereBecome a supporter of this podcast: https://www.spreaker.com/podcast/18forty-podcast--4344730/support.

In this episode, Joel and Antonia discuss intuitive dysregulation and how tarot, combined with Ai, helped Antonia reconnect to her intuition. They explore tarot's Jungian connection, do a live reading for their next topic, and uncover themes of vulnerability, legacy, and the enduring self.   https://personalityhacker.com