Podcasts about practical ai

Artificial intelligence is being sold as either the next industrial revolution or the end of humanity, but how much of that is hype? In this episode, John Odermatt sits down with Marty Milligan, founder of Digital On-Ramp WSI, to cut through the AI marketing machine and discuss what AI can actually do today. They explore whether AI poses real job threats, examine the data center infrastructure boom, and address concerns about government surveillance versus sci-fi singularity fears. Marty shares practical advice for small businesses looking to leverage AI tools effectively. The conversation challenges common narratives around AI job loss, energy concerns, and doomsday scenarios while highlighting the real opportunities and risks businesses need to understand. Chapters 0:00 - Introduction: Cutting Through the AI Hype 2:29 - Meet Marty Milligan: From EDS to AI Consulting 5:35 - How Worried Should We Be About AI? 8:49 - Job Loss and Corporate Downsizing: AI's Real Impact 12:27 - Is AI in a Bubble? Comparing to the Dotcom Era 17:29 - Using Multiple AI Models: Why Vendor Diversification Matters 22:31 - Data Centers: Separating Fear from Reality 33:50 - The Singularity and Skynet: Should We Fear AI Taking Over? 40:19 - Practical AI for Small Businesses and Solopreneurs 44:00 - The Most Overrated AI Claims Links: Marty Milligan's Resources: AI.MountainStateDigitalLLC.com - Free AI books for small businesses including Chat GPT guide and prompt book SPONSOR: This episode is brought to you by Fox and Sons Coffee – fresh, high-quality coffee shipped directly to your door, available as whole bean or ground. Get 15% off orders of $40 or more with promo code JOHN at checkout. Visit: FoxNSons.com SUPPORT LIONS OF LIBERTY: Help keep this podcast going! We rely on listener support to continue bringing you content on freedom, political reform, and personal empowerment. Support us on Patreon: https://patreon.com/lionsoflibertySupport us on Locals: https://lionsofliberty.locals.com/ Subscribe, rate, and review wherever you listen – it makes a huge difference! Learn more about your ad choices. Visit megaphone.fm/adchoices

Artificial intelligence is being sold as either the next industrial revolution or the end of humanity, but how much of that is hype? In this episode, John Odermatt sits down with Marty Milligan, founder of Digital On-Ramp WSI, to cut through the AI marketing machine and discuss what AI can actually do today. They explore whether AI poses real job threats, examine the data center infrastructure boom, and address concerns about government surveillance versus sci-fi singularity fears. Marty shares practical advice for small businesses looking to leverage AI tools effectively. The conversation challenges common narratives around AI job loss, energy concerns, and doomsday scenarios while highlighting the real opportunities and risks businesses need to understand. Chapters 0:00 - Introduction: Cutting Through the AI Hype 2:29 - Meet Marty Milligan: From EDS to AI Consulting 5:35 - How Worried Should We Be About AI? 8:49 - Job Loss and Corporate Downsizing: AI's Real Impact 12:27 - Is AI in a Bubble? Comparing to the Dotcom Era 17:29 - Using Multiple AI Models: Why Vendor Diversification Matters 22:31 - Data Centers: Separating Fear from Reality 33:50 - The Singularity and Skynet: Should We Fear AI Taking Over? 40:19 - Practical AI for Small Businesses and Solopreneurs 44:00 - The Most Overrated AI Claims Links: Marty Milligan's Resources: AI.MountainStateDigitalLLC.com - Free AI books for small businesses including Chat GPT guide and prompt book SPONSOR: This episode is brought to you by Fox and Sons Coffee – fresh, high-quality coffee shipped directly to your door, available as whole bean or ground. Get 15% off orders of $40 or more with promo code JOHN at checkout. Visit: FoxNSons.com SUPPORT LIONS OF LIBERTY: Help keep this podcast going! We rely on listener support to continue bringing you content on freedom, political reform, and personal empowerment. Support us on Patreon: https://patreon.com/lionsoflibertySupport us on Locals: https://lionsofliberty.locals.com/ Subscribe, rate, and review wherever you listen – it makes a huge difference! Learn more about your ad choices. Visit megaphone.fm/adchoices

What happens when AI stops helping with work—and starts doing the work itself?This episode connects a set of developments that business leaders should not ignore. From Sequoia's thesis that AI is replacing services, not just software, to Anthropic's findings that AI adoption is still far behind AI capability, the message is clear: the bottleneck is no longer technology. It is implementation.The bigger takeaway is even more important. Google, Microsoft, and Anthropic all released capabilities this week that make autonomous, business-ready AI workflows far more practical than they were even a few months ago. For leaders, that means the window to experiment is still open—but it may not stay open for long.In this session, you'll discover:Why AI is increasingly targeting work itself rather than the software layer around itThe difference between intelligence work and judgment work, and why that matters for business leadersWhat Anthropic's Claude usage data reveals about the gap between AI capability and actual adoptionWhy friction—not technical limitations—is slowing AI transformation inside companiesHow Google's new Workspace CLI expands agent access across Gmail, Drive, Docs, Sheets, and moreWhat Microsoft Copilot Cowork could mean for enterprise automation inside Microsoft 365Why AI review systems will become essential as AI-generated output scales across functionsHow autonomous agent loops could reshape software, marketing, sales, customer service, and product developmentWhat recent layoffs at Meta and Atlassian suggest about the future of knowledge workThe legal battles emerging around AI, from copyright to legal advice to data privacyAbout Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

Most AI projects look impressive… right until you try to use them in production.A flashy demo? Easy.A scalable, structured, production-ready solution? That's a different game.Over the past year, we've seen teams build incredible AI prototypes in days. But when it comes to:• Maintaining consistent design systems• Avoiding hardcoded chaos• Managing dependencies properly• Creating reusable components• Refactoring for scale• Enabling multiple teams to collaborateThings start to fall apart.That's exactly what we're addressing in our upcoming live session of Leveraging AI with Joanna Stoffregen. She recently published a YouTube walkthrough on building websites with AI that reached 26,000+ viewers. But what makes her approach different isn't the tools.In this session, she'll break down how to move from “vibe coding” and experimentation to production-grade AI solutions, the kind that organizations can actually ship, maintain, and scale.If you're a business leader driving AI initiatives, this conversation is for you. The bottleneck in 2026 isn't access to AI.It's execution discipline.About Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

What is a prompt, and how do AI models actually work? Which AI tools should you be using in dentistry? Is it safe to put patient details into AI—and how can it help you save time and reduce stress? In this episode, Dr. Daz Kasperek joins to make AI in dentistry tangible, even if you've never used it before. Together, we cover the basics: from getting started with prompts and AI models to understanding ethical considerations and practical ways AI can streamline your workflow. They also explore the bigger picture—how AI can improve efficiency, enhance patient communication, and give clinicians more time to enjoy life outside the clinic. https://youtu.be/cmin0h7GNyE Watch PDP260 on YouTube  Protrusive Dental Pearl: A free AI tool called Dental Disrupt Smile Simulator lets you upload a smile photo and instantly generate a realistic smile makeover simulation for patient discussions. It runs as a custom GPT inside ChatGPT, created by Dr. Jason Lipscomb Key Takeaways: AI is revolutionizing the field of dentistry, particularly in diagnosis. Prompt engineering is crucial for effective AI interactions. Personalization of AI tools can significantly improve their utility. AI can automate administrative tasks, potentially reducing the need for receptionists. AI can enhance communication between dentists and patients. The integration of AI in dentistry is still in its early stages. AI can provide personalized recommendations for patient care. Voice transcription is a more efficient way to interact with AI. The future of dentistry will heavily rely on AI technologies. AI is revolutionizing image creation in dentistry. Choosing the right AI model is crucial for effective use. Patient confidentiality must be prioritized when using AI. AI can transform administrative roles in dentistry. AI can assist in personalized education and training. The human connection in healthcare cannot be replaced by AI. Job roles will evolve rather than disappear due to AI. AI’s limitations highlight the importance of clinician expertise. Episode Highlights: 00:00 Teaser 01:08 Introduction 03:05  Protrusive Dental Pearl – Smile Simulator 06:39 Meet Dr Daz Kasperek 07:16 AI Adoption and Inequality 16:58 Better Prompting with RCT (Role, Context, Task) 21:56 AI and Administrative Work in Dentistry 30:42 AI Notes in Practice 35:05 Midroll 38:26 AI Notes in Practice 38:49 Smile Simulator Demo 41:57 Choosing Your AI Stack 49:01 Patient Confidentiality and Data Safety 54:38 AI in Dentistry – What It Will Replace 01:01:56 What AI Cannot Replace 01:04:53 Endo AI Research and Thesis 01:07:10 Contact and Resources 01:08:17 Outro If you enjoyed this episode, don't miss “NEVER Write Notes Again! How I Use AI for Awesome and Efficient Dental Records – PDP181.” #PDPMainEpisodes #CareerDevelopment  This episode is eligible for 1 CE credit via the quiz on Protrusive Guidance.  This episode meets GDC Outcomes A and C. AGD Subject Code: 550 PRACTICE MANAGEMENT AND HUMAN RELATIONS Aim: To provide dental professionals with a foundational understanding of artificial intelligence (AI) in dentistry, including its practical applications, limitations, and ethical considerations, to improve efficiency, patient communication, and clinical workflow. Dentists will be able to: Explain what AI is and the difference between an AI model and a prompt. Identify key AI platforms and tools relevant to dentistry and personal use. Apply AI safely in clinical practice while maintaining patient confidentiality.

What happens when AI companies, the U.S. government, and national security collide in public… on social media?In this Weekend News episode, Isar Meitis breaks down one of the most dramatic developments in the AI industry so far: the escalating conflict between Anthropic, OpenAI, and the U.S. Department of War. What began as a disagreement over AI guardrails quickly turned into a public showdown involving government ultimatums, billion-dollar contracts, and a massive shift in public opinion across the AI ecosystem.The situation reveals a deeper question that every business leader should be thinking about: who ultimately controls powerful AI systems — the companies that build them, or the governments that rely on them?In this episode, Isar walks through the full timeline of events, analyzes the implications for the future of AI and geopolitics, and shares what this could mean for businesses navigating the rapidly evolving AI landscape.In this session, you'll discover:What triggered the standoff between Anthropic and the U.S. Department of WarWhy AI guardrails around surveillance and autonomous weapons became the breaking pointHow OpenAI stepped in with a Pentagon deal — and why it sparked backlashThe impact on public trust, app downloads, and market perceptionWhat this conflict means for the AI race between the U.S. and ChinaWhy the government labeling Anthropic a “supply chain risk” could reshape the tech ecosystemThe broader implications for companies doing business with governmentsKey AI model releases including GPT-5.4, Gemini 3.1 Flashlight, and Perplexity ComputerWhy AI agents, computer-use models, and coding automation are acceleratingHow new research shows AI study tools improving learning outcomes for studentsAbout Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

In this episode of the Society of Actuaries Research Institute's Get Plugged In podcast series, AI Insights, host Dale Hall sits down with Igor Nikitin, CEO and Co-Founder of Nice Technologies, for a practical conversation on what AI can (and can't) do for actuarial modeling today. Igor shares real-world examples of AI in action and discusses how AI can support model development through explanation, testing, documentation, and review—while also highlighting where the hype outpaces reality. The discussion covers how to evaluate AI value, spot red flags (like limited domain training data and "black box" outputs), and build the governance and accountability needed to maintain trust when AI is involved in actuarial work. Listeners will also hear Igor's advice for actuarial organizations starting their AI journey: start small, establish privacy and usage guidelines, require citations and second reviews, and always model costs at production scale before committing to major investments.

Most leaders are using AI to write emails.A few are using AI to close deals.Guess which group is winning?In our upcoming live session TODAY, “Win more business: Build Personalized, High-Impact Proposals with AI”, we're breaking down the exact step-by-step system that turns client conversations into high-impact, personalized proposals in hours… not days.No theory.No fluffy prompts.No “10 tools you've never heard of.”You'll see how to:• Turn meeting recordings into strategic insights with AI• Generate tailored proposals in minutes• Create personalized follow-up videos that wow decision-makers• Move faster than your competitors (and look impressive doing it)And we're not just talking about it.Our guest, Susan Frew, CSP, is using this exact system to land major contracts — including speaking on a million-dollar stage alongside Simon Sinek and Keith Urban. She combines NotebookLM, HeyGen, Gamma, Claude and more into a practical AI sales engine that drives real revenue.If you're a business leader who wants AI that actually impacts the bottom line this session is for you.About Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

In this episode of Working Forward, Jason Cochran sits down with Beth White, Founder and CEO of MeBeBot, to discuss how organizations can build practical and responsible AI strategies. Beth shares insights on the urgency of AI adoption, emphasizing that companies must move beyond hesitation to experiment and learn in real time. They explore how AI is already solving tangible business problems, particularly in HR, and the importance of leadership engagement in driving adoption. The conversation highlights the value of identifying clear use cases, measuring ROI, and establishing strong governance to ensure ethical and sustainable AI deployment. Additional Resources: Connect with Beth on LinkedIn: https://www.linkedin.com/in/whitebeth/ Watch the Working Forward Podcast on YouTube! Connect with Jason on LinkedIn: https://www.linkedin.com/in/jason-d-cochran/ Follow PeopleForward Network on LinkedIn: https://www.linkedin.com/company/peopleforward-network/posts/?feedView=all Learn more about PeopleForward Network: https://peopleforwardnetwork.com/ Key Takeaways: AI adoption is no longer optional; it's a business imperative. Leaders must actively support and model AI integration to drive momentum. AI is best implemented when aligned with a clear business case and ROI. Small, test-and-learn pilots help build internal confidence and buy-in. Responsible AI requires proactive governance, including policy and oversight.  

In this forward-looking episode of The First Day from The Fund Raising School, host Bill Stanczykiewicz, Ed.D., sits down with AI practitioner and marketing maestro Chris Strom of Sunrise Association to tackle a question that's buzzing louder than a caffeinated chatbot: what can artificial intelligence actually do for fundraising? Chris doesn't sugarcoat it. Yes, AI can be wrong. Yes, hallucinations happen. But as he explains, the magic isn't in blind trust, it's in smart partnership. Think of AI not as your replacement, but as your overachieving intern who works at lightning speed and still needs supervision. Used wisely, it augments your intelligence, multiplies your output, and frees you to do what fundraisers do best: build real relationships with real people. One of the biggest “aha” moments Chris shares is the power of prompting, because typing a lazy one-liner into ChatGPT and hoping for brilliance is like whispering “abracadabra” and expecting Broadway. His practical CRAFT framework is the game-changer: Context (who you are and what's happening), Role (the perspective the AI should take), Action (what you want it to do), Format (email, report, etc.), and Tone (make it sound like you). With the right ingredients, AI transforms from a novelty into heavy machinery for your marketing and development shop. The difference between “meh” output and mission-moving copy? Specificity and strategy. Chris also shares how AI becomes a nonprofit's “second brain.” By using transcription tools like MacWhisper alongside platforms such as ChatGPT, he captures meetings, webinars, and brainstorming sessions; then instantly generates summaries, next steps, and polished notes. The result? Hours saved. Brainpower preserved. Follow-up executed. He's even built custom GPTs loaded with brand guidelines, mission language, and campaign data so his entire team can generate on-brand, accurate messaging without second-guessing tone or statistics. It's like having a marketing assistant who never sleeps and always remembers the style guide. The episode closes with a practical, and slightly prophetic, note: invest wisely. While free tools can be powerful, paid subscriptions offer critical privacy protections and better performance. For roughly $20 a month, Chris argues, the return on investment is enormous when measured in reclaimed hours and enhanced productivity. His advice? Start small. Pick one task you're doing today, invite AI into the process, and experiment. We're still in the “early innings,” he says, and the fundraisers who learn to swing now will be miles ahead as the technology matures. The future isn't coming, it's here. And for nonprofits willing to engage thoughtfully, AI may just be the most practical superpower in the fundraising toolkit.

Today our guest is Sean Beaverson, Director of Technology at Orono Public Schools. We talk about how schools can use AI in education to reduce teacher workload and reclaim instructional time. Sean shares a practical approach to lowering cognitive load by offloading administrative tasks to AI, allowing educators to repurpose time toward relationships, collaboration, and deeper learning. In this conversation, Sean offers clear reminders for leaders working to reduce workload and restore professional time: AI can reduce teacher workload by offloading low-cognitive-load administrative tasks. Reclaimed time must be intentionally repurposed, or it will quickly disappear. AI works best as a thought partner that enhances professional judgment, not replaces it. Reducing cognitive load allows teachers to focus on relationships and high-impact instruction. The goal of AI in education is not efficiency alone, it is strengthening human connection. Learn More About CharacterStrong:  Access FREE MTSS Curriculum Samples Request a Quote Today! Learn more about CharacterStrong Implementation Support Visit the CharacterStrong Website   About Sean Beaverson:  Sean Beaverson is the Technology Director for Orono Public Schools, where he leads the district's work to make technology supportive, reliable, and centered on the needs of students and staff. With 25 years in education, he focuses on clear communication, thoughtful innovation, and helping teachers and students thrive in a rapidly changing digital world.

Send a textIn this episode of Born Scrappy I sit down with Evan J. Schwartz, Chief Innovation Officer at AMCS Group, to demystify technology and understand its practical application in the scrap metal industry.Evan has spent 35+ years across resource-intensive industries and now sits at the forefront of innovation at AMCS, operating across 80 countries. His job? Spot what's coming next and help companies adopt it without blowing themselves up in the process.With all the buzz around tech right now, this episode is a masterclass in cutting through the hype.In this episode, we talk about:

Building powerful AI workflows and teammates doesn't require a dev team or a PhD in prompt engineering — but it does require knowing where to start and how to connect the pieces.In this hands-on session, we'll show you how to go from a blank screen to a fully functional AI system using real tools, real prompts, and real business use cases. You'll get a demo of how to generate workflow and AI teammate ideas — and learn how to customize them to fit your team's exact needs.We'll also walk through how to create connected GPTs with smart prompt structures, use ⁠ @mentions ⁠ for chaining them, and show real examples.Joining us is Liza Adams, an enterprise strategy leader and former VP of Marketing with deep experience in GTM, AI transformation, and scaling AI initiatives inside global organizations. She'll share how business leaders can adopt these systems, spark innovation across teams, and lead with clarity in an AI-driven future.Resources Mentioned: AI Teammates Reference GuideHuman+AI Workflows Reference GuideThe End of Hand-offs: How AI Teammates Work TogetherInteractive Human+AI Workflow AppCase Study with Cross-functional Workflows & ResultsCase Study of Human+AI Org TransformationTemplate to create AI teammate instructionsAbout Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

I accidentally made a podcast using NotebookLM, and I never planned a second of it. In this episode, I share the story of how I was building Practical AI for School Leaders, uploaded mycourse script to NotebookLM to create a self-assessment, and then discovered what the 'Audio Overview' button could do. What you'll hear in this video:How I planned and scripted the entire Practical AI forSchool Leaders course before filmingHow NotebookLM built a complete self-assessment from the course scriptWhat happened when I clicked 'Audio Overview' (and why it surprised me)Excerpts from the AI-generated podcast episode Last week's episode (watch this first): https://frankbuck.org/practical-ai/ Register for Practical AI forSchool Leaders:Alabama school leaders: PowerSchool Professional Learning (search the course title)Everyone: FrankBuck.org/plu$97 Starts March 1

Is your job safe if it happens on a screen?In the past few weeks, AI hasn't just improved, it has crossed a line. From writing production-ready code to building full applications autonomously, the shift is no longer theoretical. It's operational.The reality? AI is moving from assistant to operator, faster than most leaders are prepared for.In this episode, we break down what's really happening behind the headlines, why this moment feels eerily similar to early 2020, and what business leaders must do now to avoid being caught off guard.If you lead people, manage budgets, or make strategic decisions, this conversation is not optional.In this session, you'll discover:Why a viral article comparing AI to early COVID signals a bigger structural shiftHow Claude 4.6 and GPT 5.3 are moving from “helpful tool” to “finished output”The real reason AI labs targeted software engineers firstWhy “anything that can be done on a computer” is now vulnerableHow AI built a full multi-agent production pipeline in 48 hoursWhat Gemini 3.1 Pro's benchmark leap actually meansWhy Accenture now ties promotions to AI usageHow AI insurance is removing enterprise adoption barriersWhat the India AI Summit revealed about global governance tensionsWhy OpenAI's $100B raise is both brilliant and dangerously high-stakesHow robotics is quietly moving from factory floors into daily lifeWhy hybrid human-AI workflows are temporary by designThe coming economic disruption — and where opportunity hides inside itAbout Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

This week, My Pest Pros Co-Owner Brett Lieberman joins Dan and Donnie to share his company's real-world experiences with AI implementation. He discusses his firm's AI voice agent that books jobs and handles customer inquiries, what he learned from analyzing 1.3 million lines of call transcripts and how he created an AI board of directors to provide feedback on business decisions.   Guest: Brett Lieberman, Co-Owner, My Pest Pros Hosts: Dan Gordon, PCO Bookkeepers & M&A Specialists Donnie Shelton, Triangle Home Services

Most leaders think Reddit is just a forum for memes and debates. But what if it could be your secret weapon for growth and visibility inside AI models like ChatGPT and Gemini?In this live session, AI growth strategist Pietro Montaldo will walk you through a hands-on, step-by-step playbook on how to mine Reddit for insights, create peer-to-peer content that performs, and use it to boost SEO and get picked up by AI-driven answer engines.We'll show you how to:- Scrape Reddit for real conversations in your niche- Draft optimized, peer-style content that resonates in communities- Make sure AI tools like ChatGPT are surfacing your answers (and brand)Our guest Pietro is not just another growth guy. He's the founder of N-Force, a go-to expert for advanced AI tactics, and one of the most practical, sharp, and insight-driven minds in the space. Business leaders love his sessions because they walk away with actual results. Last time he spoke at our workshop, two clients reached out to him before the webinar even ended.About Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

Are you feeling scattered by all the digital marketing advice out there? In this solo episode, I'm sharing some honest reflections on burnout, overextension, and why we took a break from the podcast. After 317 episodes, I've learned that sometimes stepping back is the best way to move forward with clarity and purpose. Finding Focus When Everything Feels Overwhelming I open up about: - Why I overcommitted and how it led to podcast burnout - The importance of choosing projects that align with your core mission - How small teams can stay nimble while maintaining quality service A New Way to Navigate Your Learning Journey Discover the game-changing resource we're launching: - A comprehensive spreadsheet organizing all podcast episodes by category - How to find exactly what you need when you need it most - Why implementation matters more than consuming endless content Staying Grounded in Uncertain Times We explore strategies for: - Maintaining strong foundations when the world feels chaotic - Building collaborative networks instead of trying to solve everything alone - Focusing on excellence in your specific area rather than spreading too thin What's Coming Next in 2026 Learn about our renewed focus on: - Website strategy and conversion optimization - Practical AI applications for nonprofits - Weekly resources through our revamped newsletter Whether you're experiencing donor fatigue, struggling with focus, or simply need a reset, this episode offers practical wisdom for moving forward with intention and purpose. Want to skip ahead? Here are some key takeaways: - 05:15 The Reality of Burnout Honest insights about overcommitting and the importance of sustainable growth strategies. - 12:30 Your New Learning Roadmap How to use our episode categorization system to find exactly what you need for your current challenges. - 18:45 Building Collaborative Networks Why partnering with other organizations amplifies your impact without overwhelming your resources. - 24:20 Website Strategy Focus Our commitment to helping you convert more website visitors into supporters and donors. Don't miss this opportunity to refocus your approach and make 2026 the year you implement rather than just consume. Tune in for a conversation that could reshape how you think about growth, collaboration, and sustainable impact. Connect with us on LinkedIn: https://www.linkedin.com/company/the-first-click Learn more about The First Click: https://thefirstclick.net Schedule a Digital Marketing Therapy Session: https://thefirstclick.net/officehours

Click to watch the full episode on YouTube!What if you could offload the busywork that keeps piling up every week and get back hours of focus without hiring a full team? In this episode, I break down how I've been using AI tools as a practical “assistant” for content, real estate, and everyday workflows so tasks stop slipping through the cracks and your systems actually feel manageable.In this episode of the First Sip Podcast, I break down:- Why I started using AI as leverage- How I use tools to capture leads, organize conversations, and reduce the back-and-forth across platforms- Simple automations that handle repeat questions and route people into a CRM without manual work- How AI-powered content workflows turn one episode into multiple short clips and marketing assets- A real example of turning a voice note into a polished presentation using transcription and slide tools- How beginners can start using AI to move past analysis paralysis and build a “virtual assistant” that asks the right questionsHere's the Master Prompt for you to create your own AI Assistant:[Executive Assistant Master prompt ](https://www.notion.so/Executive-Assistant-Master-prompt-2ff557a368e0813e9084c6c76ee132e7?pvs=21) Thank you for listening, and as always…enjoy your first sip! Timestamps:00:00 – Using AI as an assistant for weekly tasks and focuS02:38 – Real estate follow-ups, marketing, and the need for leverage03:31 – Using ChatGPT like a personal assistant and what you'll get by the end04:00 – Turning repeatable weekly tasks into faster workflows04:41 – Using forms, chatbots, and automations to capture info upfront04:58 – Zapier example: sending form responses directly into your CRM05:17 – Instagram DM auto-replies and filtering inbound requests07:00 – Turning long-form episodes into short-form content at scale07:36 – Tools like Opus Clip and CapCut for transcript-based clipping09:32 – Why the future of sales is changing fast10:02 – Real example: building a presentation with AI instead of PowerPoint11:02 – Transcribing audio with Descript11:33 – Using NotebookLM to generate a slide deck from the transcript12:34 – Creating a master prompt with ChatGPT or Gemini 13:32 – Prompting explained: clear instructions lead to better outputs15:50 – Using transcripts to create marketing visuals and infographics16:40 – Starting AI as a beginner and finding your real starting point17:10 – AI for goals: fitness, money, business, and life planning20:32 – The “virtual assistant” master prompt and how it works22:43 – Content recommendation: pair tools with a specific YouTube tutorial23:13 – Practical AI use cases: bloodwork, financial planning, and personal goalsWhat did you think about this episode?--------------------------------

What happens when AI-generated video becomes indistinguishable from reality — and it's cheaper than lunch?This week, the AI race took a dramatic turn. China didn't just catch up — in some areas, it leaped ahead. And with video models that generate flawless visuals and synchronized audio in real time, we've entered a new era where “seeing is believing” no longer applies.For business leaders, this isn't just geopolitical theater. It's a strategic inflection point. From AI-generated fraud and deepfake manipulation to workforce burnout driven by productivity acceleration, the rules of competition — and trust — are changing faster than most organizations can process.In this episode, we break down what China's AI surge really means, why deepfake technology is now a board-level issue, and how AI may be making your top performers more productive… and more exhausted.In this session, you'll discover:Why China's latest AI releases signal a shift in the global AI power balanceWhat makes ByteDance's new video model fundamentally different from U.S. competitorsHow AI-generated video with synchronized audio changes the fraud landscapeThe growing legal and regulatory backlash from Hollywood and governmentsWhy “Deepfake-as-a-Service” is becoming a criminal business modelThe real financial cost of AI-enabled fraud — and why it's acceleratingMicrosoft's legal action against synthetic abuse networksHow governments are attempting (and struggling) to regulate synthetic mediaWhy AI may increase burnout instead of reducing workloadThe “productivity treadmill” effect inside AI-enabled organizationsHow AI agents are transforming coding, databases, and knowledge workWhy only a tiny percentage of employees are true AI power usersWhat business leaders must do now to prepare for the next waveAbout Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

Featured playlist: The Church (That Meets in My Home) — https://www.youtube.com/playlist?list=PL5Yobt1jZDd9Zzn8Ufa-BNciyYv04Cl6mMy books:Exalted: Putting Jesus in His Place — https://www.amazon.com/Exalted-Putting-Jesus-His-Place/dp/0985118709/ref=tmm_pap_title_0God's Design for Marriage (Married Edition) — https://www.amazon.com/Gods-Design-Marriage-Married-Amazing/dp/0998786306/ref=sr_1_4?s=books&ie=UTF8&qid=1493422125&sr=1-4&keywords=god%27s+design+for+marriageGod's Design for Marriage (Pre-married Edition) — https://www.amazon.com/Gods-Design-Marriage-What-Before/dp/0985118725/ref=cm_cr_pr_product_topSupport us - become a CTC Partner: https://crosstocrown.org/partners/crosstocrown.org@DougGoodin

This week on The Audit Podcast, our guest is Aadesh Gandhre, Chief Audit Executive at DTCC. Aadesh shares his perspective on reshaping the perception of internal audit, both inside organizations and across the profession. Drawing on his background in technology and innovation, he explains why internal audit must move away from being seen as a spotlight that hunts for findings and instead become a lighthouse that helps organizations navigate risk and change. We talk about servant leadership and how small cultural shifts, such as celebrating wins, encouraging experimentation, and reframing failure as learning, can unlock innovation within audit teams. Aadesh also walks through how his team is using gamification, internal recognition, and creative engagement to build a stronger audit brand and a more motivated global workforce. Be sure to connect with Aadesh on LinkedIn.   Also, be sure to follow us on our social media accounts on LinkedIn, Instagram, and TikTok.   Also be sure to sign up for The Audit Podcast newsletter and to check the full video interview on The Audit Podcast YouTube channel.   Timecodes:   3:00 – Practical AI use cases 10:30 – The servant leadership mindset 14:55 – Scaling this approach based on team size 16:30 – Building the internal audit brand 26:40 – Bringing innovation into internal audit 33:12 – Making innovation a priority in the office 40:00 – Staying current with tools and resources 44:32 – The freeze–unfreeze–refreeze change management model 49:32 – Final thoughts   *   This podcast is brought to you by Greenskies Analytics, the services firm that helps auditors leap-frog up the analytics maturity model. Their approach for launching audit analytics programs with a series of proven quick-win analytics will guarantee the results worthy of the analytics hype.  Whether your audit team needs a data strategy, methodology, governance, literacy, or anything else related to audit and analytics, schedule time with Greenskies Analytics.

What if your business data could tell you exactly what's working, what's broken, and what to do next—without dashboards, analysts, or endless spreadsheets?Most leaders know data-driven decisions matter. Very few have the time, tools, or teams to analyze data consistently, deeply, and at scale.In this episode of the Leveraging AI Podcast, Isar Meitis is joined by Keith Moehring, CEO of L2 Digital, to break down how business leaders can use AI + automation to turn raw data into clear insights—and actionable recommendationsautomatically.Instead of chasing reports, building pivot tables, or relying on expensive BI platforms, you'll learn how to build an AI-powered analytics assistant that pulls data from multiple sources, identifies what actually changed, explains why it happened, and emails you the insights on a schedule you choose.This isn't theory. It's a practical, repeatable system that replaces hours of manual analysis with intelligent automation—while keeping humans focused on decisions, not data prep.In this session, you'll discover:Why “more data” isn't the answer and how AI helps surface the right insightsHow to automate multi-source data analysis without advanced technical skillsThe 4-step framework for building reliable AI analytics automationsHow AI identifies deviations, root causes, and meaningful trendsWhen to use rigid automation vs. flexible AI reasoningHow leaders receive clean, actionable insight reports directly via emailWhy separating “analysis” and “strategy” agents improves AI output qualityHow this approach applies across marketing, finance, sales, HR, and operationsAbout Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

Is this the beginning of the end for SaaS as we know it?In a single week, AI announcements erased hundreds of billions of dollars in market value from the world's largest software companies. Anthropic, OpenAI, and a new generation of autonomous AI agents didn't just release updates — they exposed a structural shift in how work gets done.In this episode, Isar Meitis breaks down why this moment isn't just another hype cycle. AI agents can now code, reason, coordinate, schedule tasks, browse the web, and run workflows in parallel — without constant human supervision. That changes the economics of software, labor, and entire business models.The takeaway is uncomfortable but clear: large enterprises may survive — but smaller, single-purpose SaaS products are already being replaced. Business leaders who don't adapt quickly risk being left behind by companies that can now move 10x faster with fewer people.In this session, you'll discover:Why the so-called “SaaS Apocalypse” wiped out over $300B in market value in daysHow AI agents are replacing entire categories of software — not just automating tasksWhat Anthropic's Claude Opus 4.6 and OpenAI's Codex reveal about the future of workWhy multi-agent systems change productivity economics foreverThe difference between enterprise infrastructure SaaS and vulnerable niche toolsWhy hallucinations, autonomy, and speed create new operational risksWhat business leaders must do now to stay competitive in an agent-driven worldAbout Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

Episode Summary In this solo episode of The Chat GPT Experiment, host Cary Weston dives into two real conversations he had with business owners—one looking to implement AI into their operations and the other trying to pivot into AI consulting. Cary offers straight-up, no-fluff advice: don't start with AI. Start with your business needs, your strengths, and the problems you're actually trying to solve. From there, tools like ChatGPT can help scale or simplify your work—but they can't create structure where none exists. 3 Key Takeaways Don't lead with AI—lead with your business. Identify the specific problem you're trying to solve. AI can help, but it's not the starting point. If it's not documented, it can't be scaled. Whether it's pricing info, sales process, or FAQs—get it organized first. Then, AI can actually help. Big AI moves can start small. You don't need to become an AI consultant or master every tool. Start with what you already know and build from there. Special Giveaway: Free Ticket to AI Business World Cary's longtime friend Michael Stelzner (founder of Social Media Examiner) is hosting AI Business World — a 2-day, practical, hands-on conference for business-minded marketers who want to actually know how to use AI tools in their day-to-day work. Dates: April 29–30, 2026 Location: Anaheim, California Focus: Practical AI workflows, real tools, and smart strategies for business and marketing Includes: Admission ticket only. No travel or accommodation is included in giveaway. Enter here: https://chatgptexperiment.com/ai-business-world-ticket-giveaway     Cary offers customized one-on-one ChatGPT training in 60 minute sessions. Find out more information on the sessions, answers to frequent questions, and how to register at www.ChatGPTExperiment.com +++++++++ CONNECT WITH CARY ChatGPT Podcast Website: www.ChatGPTExperiment.com Marketing Podcast: www.PracticalMarketingShow.com Cary's Agency Website: www.CMWeston.com LinkedIn: https://www.linkedin.com/in/caryweston LINKEDIN NEWSLETTER The Chat GPT Experiment is also a LinkedIn Newsletter and you can find it here: https://www.linkedin.com/newsletters/the-chat-gpt-experiment-7110348839919702016/ MUSIC CREDITS The instrumental music used in this podcast is called "Curious" by Podington Bear.

In this episode of the Property Profits Podcast, AI expert Peter Swain joins Dave to reveal how real estate investors can actually use artificial intelligence to save time, get better deals, and raise capital more effectively. From powerful prompt patterns to voice-driven workflows, Peter breaks down how to go from AI-curious to AI-confident—fast. Real-world examples, practical tools, and honest insight make this a must-listen for any investor who wants to get ahead of the curve in 2026. - Get Interviewed on the Show! - Are you a real estate investor with some 'tales from the trenches' you'd like to share with our audience? Want to get great exposure and be seen as a bonafide real estate pro by your friends? Would you like to inspire other people to take action with real estate investing? Then we'd love to interview you! Find out more and pick the date here: http://daveinterviewsyou.com/ #RealEstateAI #DaveDubeau #PropertyProfitsPodcast #PeterSwain

  In this episode of the Profitable Christian Business Podcast, Doug Greathouse sits down with John Munsell, CEO of Bizzuka and author of INGRAIN AI: Strategy Through Execution, to unpack why most businesses struggle with AI — and what Christian leaders can do differently. John explains that AI failure is rarely a technology issue. Instead, it's a strategy and leadership problem. Without a unified approach, companies save time but fail to generate real value or revenue. This conversation explores how AI can become a force multiplier rather than a distraction, why AI fluency must be shared across teams, and how faith and stewardship should guide AI adoption. John also shares practical guidance for solopreneurs and leaders who feel overwhelmed by how fast AI is moving. If you're a business owner, leader, or solopreneur who wants to implement AI wisely, ethically, and profitably, this episode provides both clarity and direction. What You'll Learn in This Episode: Why AI is a strategy problem, not a tech problem The difference between saving time and creating revenue Why most companies fail without a unified AI framework How AI can enhance people instead of replacing them Why AI fluency should exist across the entire organization How Christian leadership shapes ethical AI deployment Practical AI advice for solopreneurs and small teams Key Quotes: "They lack a unified strategy." "AI can shape culture and behavior." "You need to be a good steward of those gifts." ⏱️ Episode Chapters 00:00 – Introduction to John Munsell and AI in Business 04:50 – John's Journey into AI and Market Trends 09:42 – Why Unified Strategy Matters 14:34 – Turning AI Into Revenue 19:49 – AI for Solopreneurs 29:30 – The Blueprint for AI Adoption 31:14 – Implementing AI the Right Way 32:43 – Why AI Adoption Fails 37:01 – Building an AI-First Culture 38:38 – Scalable Prompt Engineering Explained 44:15 – Taking the First Step with AI 47:20 – Seeking Wisdom in a Rapidly Changing World 52:12 – Faith, Ethics, and Responsibility in AI 54:58 – Resources for Implementing AI

How are leading founders actually using AI day to day?In this episode of the Digital Irish Podcast, we're sharing highlights from the first session in our Practical Artificial Intelligence series — focused on real, hands-on experiences with AI from people building and using it right now.Our guest is Sean Blanchfield — Irish entrepreneur behind Demonware and Phorest, and founder of his latest venture, Jentic. Sean shares his perspective on how AI is reshaping enterprise software, where the real opportunities lie with APIs and AI agents, and how he personally uses AI in his own workflows.This episode features selected snippets from the live webinar. You can watch the full conversation and Q&A on Digital Irish Connect.

When clients start asking "What am I paying you for?", most assume they have a pricing problem on their hands when they're actually facing an operations problem. Leah Leaves is the founder and CEO of Alderaan Operations, where she embeds operations directors and part-time digital project managers directly into remote agencies.  In this conversation, she reveals what's happening when clients question an agency's value - asking for more deliverables, questioning reports, or wondering why they can't just use cheap tools themselves. A few things we covered: Why the same operational bottlenecks agencies have always had are now happening at 10x-100x speedThe exact question clients are asking agencies right now (and how the best agencies are answering it)How agencies are reinvesting time saved by AI into client experience, productized tools, and advisory servicesThe "bionic org chart" framework for documenting what AI owns versus what humans ownA practical system for turning meeting transcripts into searchable client context that actually gets usedWhy hiring people who want to stay static in their role is a feature, not a bugThe shift from deliverables-based positioning to strategic marketing partner (and why AI makes this more urgent)Timestamps:[00:00] Introduction: Leah Leaves and the state of agency operations[01:26] Same issues, 10x-100x speed: What's really changing with AI[03:37] The question clients are asking: "What am I paying you for?"[06:38] How agencies are answering the value question differently[11:15] Moving from execution to advisory: Selling thinking, not deliverables[15:30] The art of productive client meetings (and why most fail)[20:45] Hiring strategy: Finding people who want to grow vs. stay static[29:47] The bionic org chart: Documenting AI's role on your team[32:17] Practical AI implementation: Turning meeting notes into searchable knowledge[34:20] Ideas that wouldn't exist without reduced latency[35:29] Where to find Leah and learn more about operationAlderaan Operations - Leah's company embedding ops directors in agenciesLeah Leaves on LinkedIn - Connect with Leah

A CMO Confidential Interview with Rob Ward, co-founder and General Partner of Meritech Capital, a top Silicon Valley venture firm. Rob shares his take on what he calls a "super terrifying and exciting time" and provides perspective on AI receiving the most capital of any technology in history, the "durability of revenue" and how quickly start-ups are now reaching $100 million in revenue. Key topics include: why VC's focus on growth vs. profitability; the risks associated with massive long-term capital investment; why marketers should pick a "trusted advisor" as their AI partner; and why your data strategy needs "context. Tune in to hear how Astronomer handled the "Coldplay Concert Incident" which immediately became a PR classic and the "VC Foie Gras Effect."What happens when a top venture capitalist pulls back the curtain on AI, valuations, hype cycles, and what's actually working?In this episode of CMO Confidential, host Mike Linton sits down with Rob Ward, Co-Founder and General Partner at Metech Capital, to unpack the realities behind the AI boom. Rob has spent more than 26 years investing in category-defining companies like Facebook (Meta), Snowflake, NetSuite, Zipcar, and Cloudera — and he brings a rare, grounded perspective to today's AI frenzy.Together, they explore: • Why AI adoption is still early — despite explosive growth • The real risks behind inflated valuations and “AI-washing” • How VC decision-making changes during platform shifts • What marketers and executives should actually look for when choosing AI partners • Why data strategy, change management, and trust matter more than tools • What layoffs, productivity, and the future of work really look like beneath the headlines • A masterclass in crisis communications, featuring Ryan Reynolds, Gwyneth Paltrow, and ColdplayIf you're a CMO, CEO, board member, founder, or agency leader trying to make sense of AI without getting swept up in the hype — this is a must-listen conversation.New episodes of CMO Confidential drop every Tuesday.Subscribe for insider perspectives on the most misunderstood role in the C-suite.⸻Chapter Markers00:00 – Welcome to CMO Confidential00:19 – Introducing Rob Ward and today's AI conversation01:13 – Where we really are in AI adoption02:26 – Explosive AI growth: what's real vs hype03:35 – Why enterprise AI adoption is still a slog04:37 – Vendor spend, hyperscalers, and the trillion-dollar buildout06:12 – Is this an AI bubble? Public vs private market realities07:20 – Accelerating investment rounds and lack of diligence08:12 – AI-washing and durability of AI businesses09:46 – Proof-of-concepts, switching costs, and fragile loyalty10:55 – Big Tech vs startups: why this cycle is different11:40 – Why VCs chase platform shifts despite the risks13:05 – How AI is changing profitability and headcount math16:11 – “FOGRA” investing and capital distortion17:00 – Circular investing and data-center risk18:23 – Data centers, GPUs, and betting on the wrong future19:38 – Credit default swaps and financial warning signs21:45 – How executives should choose AI vendors22:58 – Change management and why culture matters most24:09 – Why data strategy is the real AI strategy26:36 – “Frequently wrong, never in doubt” and AI hallucinations27:01 – Practical AI use cases for marketers30:00 – Layoffs, productivity, and what's really happening to jobs33:05 – The best questions to spot real AI fluency35:00 – AI safety, geopolitics, and long-term risks36:38 – Crisis management masterclass: Astronomer, Coldplay & Ryan Reynolds39:58 – Final advice and closing thoughts⸻Comma-Separated TagsCMO Confidential, AI strategy, artificial intelligence, venture capital, Rob Ward, Metech Capital, AI adoption, AI hype, AI bubble, enterprise AI, generative AI, AI in marketing, CMO leadership, marketing leadership, venture investing, AI vendors, data strategy, change management, AI readiness, tech valuations, AI infrastructure, data centers, future of work, AI layoffs, crisis communications, brand crisis management, Ryan Reynolds marketing, Gwyneth Paltrow Astronomer, Coldplay controversy, Silicon Valley, marketing podcast, C-suite leadershipSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

What if AI adoption isn't a tech problem, but a trust-and-teams problem? In this conversation, Maude Pittet Nazareno shares what she's learned from training frontline negotiators on pressure management and supporting organizations with AI-enabled workflow transformation. We explore why “prompt hygiene” matters, how AI can amplify (worsen) existing team tensions, and what it looks like to adopt AI in ways that support (not erode) human connection.In this episode, we cover:What “embodying change” looks like when you're under pressure (head, heart, and body)Why coping strategies can be “partial,” and how to expand your internal and external resourcesWhat NLP is (in plain language) and why it shows up in pressure management workThe surprising result from a pilot: why self-paced AI training lowered trust and team coaching raised itWhy AI adoption often amplifies existing organizational problems (data mess, team tension, outdated processes)What AI-enabled workflows actually mean (beyond “ChatGPT for emails”)Practical AI literacy: how LLMs work, how to prompt, and how to avoid bias in prompts“Prompt hygiene” for shared team threads (and how to ask AI what assumptions it's making)How Colaborix's AI Café creates a space for teams to learn from each otherDetails on the AI Champion Accelerator + how to join with a listener discountResources and linksMaude on LinkedIn: https://www.linkedin.com/in/maude-pittet-nazareno/Maude's website: https://www.maudepnazareno.com/Colaborix Programs (including Coffee & Champion Accelerator): https://www.colaborix.ai/ai-programsColaborix all upcoming dates & enrolment links: https://www.colaborix.ai/upcoming-ai-eventsOpportunity25% off Colaborix cohort programs (including the AI Champion Accelerator)Use coupon code: ACCESSNOWAbout Maude Pittet NazarenoMaude Pittet Nazareno is a coach and facilitator who helps leaders and teams build clarity, presence, and influence in high-pressure environments, from humanitarian negotiation to organizational transformation. Through her work with CCHN, she supports frontline negotiators to access, assist, and protect communities under extreme stress. At Colaborix, she brings a human-centered approach to AI adoption and workflow transformation, focusing on trust, capability-building, and how teams actually change.

Gary Mishuris is a CFA and managing partner of Silver Ring Value Partners who combines MIT computer science training with behavioral discipline to practice intrinsic value investing while pioneering practical AI integration in fundamental research.The episode is sponsored by TenzingMEMO — the AI-powered market intelligence platform I use daily for smarter company analysis. Code BILLIONS gets you an extended trial + 10% off.https://www.tenzingmemo.com/And if you haven't yet, find me on Substack!3:00 - Gary frames AI through personal experience: recalls Fidelity portfolio manager using legal pad instead of Excel 25 years ago—illustrates how refusing modern tools creates disadvantage, not discipline.5:30 - The two extremes of AI: Luddite view (AI pollutes your process) vs. magic genie fallacy (ask AI for winning stocks). Reality: AI enables more efficient work, but you still do the hard work.7:15 - “AI natives” concept: younger professionals naturally integrate AI like digital natives adopted technology. Gary warns against becoming dinosaurs by refusing to explore AI's capabilities.12:00 - Key insight: AI forces introspection about your investment process. Where do you add unique value and judgment? Where are repetitive tasks easily enhanced by machines? Must stay “on the loop” and verify outputs.22:00 - Practical AI applications: earnings call analysis, pattern recognition across transcripts, competitor analysis, business model breakdowns. AI excels at synthesis and organization tasks.35:00 - Critical limitation: AI hallucinates and makes mistakes. Never trust blindly. Use AI to generate drafts, frameworks, and organize information—then apply human judgment and verification.45:00 - Discussion of behavioral traps: AI can create illusion of thoroughness through volume. Don't confuse encyclopedic reports with quality analysis. Reference to Buffett's one-page 1951 Geico analysis.58:00 - Warning about endless research: Know when to stop turning rocks. AI makes it too easy to keep researching instead of making decisions. Investment case should fit on one page.1:05:00 - Shorting discussion: timing challenges, asymmetric risk. Emphasis on finding your own process—what works for others may not work for you.1:10:00 - Final wisdom: “Don't equate length with quality. Quality is quality”—whether generated with AI assistance or not. Process matters more than tools.Podcast Program – Disclosure StatementBlue Infinitas Capital, LLC is a registered investment adviser and the opinions expressed by the Firm's employees and podcast guests on this show are their own and do not reflect the opinions of Blue Infinitas Capital, LLC. All statements and opinions expressed are based upon information considered reliable although it should not be relied upon as such. Any statements or opinions are subject to change without notice.Information presented is for educational purposes only and does not intend to make an offer or solicitation for the sale or purchase of any specific securities, investments, or investment strategies. Investments involve risk and unless otherwise stated, are not guaranteed.

Are your marketing efforts creating a real pipeline or just impressive-looking metrics that don't translate to revenue? Too many marketing teams celebrate vanity metrics while sales teams struggle to hit their numbers. There's a disconnect that's costing companies serious money. In this conversation with Scott Logan, Chief Marketing Officer at AmplifAI, we explore a radical approach to marketing that puts sales success at the center of everything. Scott brings a unique perspective, having started as a sales rep before moving into marketing operations, giving him firsthand experience on both sides of the revenue equation. The Revenue-First Marketing Philosophy Scott challenges the traditional marketing mindset with a bold statement: marketing's only purpose is to help sales sell more. This isn't about diminishing marketing's value—it's about aligning every marketing activity with measurable business outcomes that matter. We discuss why marketing teams should share the same dashboards, filters, and success metrics as sales teams. When marketing and sales are looking at different definitions of success, you create organizational friction that slows down deals and confuses buyers. Breaking Through the Noise with Strategic Creativity Forget cookie-cutter marketing playbooks. Scott shares compelling examples of how creative thinking beats big budgets every time. From a $500 billboard strategy that outperformed million-dollar campaigns to trade show tactics that generated equal engagement with a fraction of the staff, these stories prove that strategic thinking trumps traditional approaches. The key insight? Your competitors are following the same best practices you are. To stand out, you need to think differently about how you create awareness and engage prospects. AI-Powered Marketing That Actually Works We explore practical applications of AI in marketing that go beyond content generation. Scott explains how his team uses AI to analyze competitor landscapes, extract insights from sales calls, and turn complex survey data into actionable intelligence - all in minutes rather than weeks. One particularly interesting case study involves a summer intern who completed what should have been a three-week manual project in just one day using AI, demonstrating the productivity gains available to teams willing to embrace these tools strategically. The Compensation Alignment Game-Changer Here's where Scott gets controversial: every marketing role should have compensation tied directly to sales quota achievement. Not just at the leadership level, but down to individual contributors working on specific campaigns or content pieces. This alignment creates a fundamental shift in how marketing teams think about their work. When your bonus depends on the sales team hitting their numbers, every campaign decision gets filtered through a different lens. Here's what you'll gain from this conversation: 1.    A framework for aligning marketing metrics with actual revenue outcomes 2.    Creative strategies for maximizing brand impact without massive budgets 3.    Practical AI applications that save time and improve marketing effectiveness 4.    The case for tying marketing compensation directly to sales success 5.    Methods for building genuine partnership between marketing and sales teams Scott's approach challenges conventional wisdom about marketing's role in B2B organizations. His emphasis on sales enablement, creative problem-solving, and revenue accountability offers a roadmap for marketing teams ready to prove their impact on the bottom line. Key Moments of This Episode 00:00:00 - Marketing and Sales Alignment: The Foundation for Revenue Success Scott Logan introduces the critical concept that marketing, sales, and channel teams must align to one unified revenue number, with compensation tied to actual sales quota achievement rather than vanity metrics. 00:01:37 - Meet Scott Logan: From Sales Rep to CMO at AmplifAI Scott shares his journey from 2007 sales rep to CMO, including early marketing operations experience when SDRs didn't exist, and introduces AmplifAI's AI-powered CX performance management platform. 00:04:08 - Bowling Championships and Pet Lions: Getting Personal with Scott Scott reveals his unexpected talent as a two-time state bowling champion and shares his grandfather's fascinating story of owning exotic pets including a lion in the 1930s. 00:06:00 - Marketing's True Purpose: Helping Sales Sell More Scott explains why marketing's sole purpose should be enabling sales success, emphasizing the need for sales team involvement in every step from content planning to campaign execution and feedback loops. 00:11:12 - Revenue Accountability: Why Marketing Must Own Sales Targets Scott advocates for marketing teams having joint ownership of revenue targets with bonuses tied to closed deals, introducing AmplifAI's "money team" approach where all go-to-market leaders share unified success metrics. 00:13:25 - Brand vs Demand: Strategic Messaging That Drives Pipeline Exploration of how brand influences demand generation through proper messaging alignment, buyer priority matching, and strategic presence expansion rather than scattered marketing efforts across all channels. 00:18:47 - Breaking Marketing Best Practices: Innovation Over Convention Scott challenges marketers to move beyond 2017 tactics, using examples like strategic billboard placement and creative conference marketing to demonstrate how breaking conventional wisdom creates better results. 00:20:23 - Marketing Enablement: Spending 50% of Time with Sales Teams Discussion of practical strategies for marketing-sales collaboration, including the "did you help a sales rep today" mentality and building trust through direct engagement with sales professionals. 00:23:52 - AI-Powered Marketing: Scaling Pipeline Generation Intelligently Scott outlines how marketers should use AI for competitor analysis, sales call evaluation, content creation, and data segmentation while maintaining focus on sales team needs and buyer conversations. 00:28:55 - The Intern AI Success Story: Three Weeks to Ten Minutes Real example of how a summer intern used AI to complete a complex data analysis project in one day that would have traditionally taken three weeks of manual work. 00:35:12 - AI Agents in Marketing: Experimenting with Transparent Automation Scott discusses AmplifAI's experiments with AI SDRs, emphasizing transparency about AI usage while ensuring seamless handoffs to human representatives when complexity increases beyond automation capabilities. 00:40:31 - Social Selling Success: Eight Reps to President's Club Scott shares his early social selling program success story from 2011, where he helped eight of twelve sales reps achieve President's Club status through strategic LinkedIn coaching and training. About Scott Logan Scott Logan is a seasoned revenue and marketing leader known for building pipeline-driven growth engines that align sales, marketing, and operations. Currently the Chief Marketing Officer at AmplifA, Scott specializes in creating predictable demand, accelerating revenue, and operationalizing go-to-market strategies powered by automation and AI. With a career spanning both sales and marketing leadership, he brings a rare, practitioner-level perspective on what actually drives pipeline and performance. Scott is also the host of the Making Fun of Marketing podcast, where he challenges conventional B2B thinking and brings candid, real-world conversations to the forefront of modern revenue leadership. What differentiates Scott is his relentless focus on outcomes over activity—breaking down silos, simplifying complexity, and building systems that make revenue teams more effective and human at the same time. He's deeply passionate about helping organizations eliminate friction, rethink how buyers engage, and design revenue motions that scale with clarity and purpose. Follow Us On: ·         LinkedIn ·         Twitter ·         YouTube Channel ·         Instagram ·         Facebook Learn More About FlyMSG Features Like: ·         LinkedIn Auto Comment Generator ·         AI Social Media Post Generator ·         Auto Text Expander ·         AI Grammar Checker ·         AI Sales Roleplay and Coaching ·         Paragraph Rewrite with AI ·         Sales Prospecting Training for Individuals ·         FlyMSG Enterprise Sales Prospecting Training Program Install FlyMSG for Free: ·         As a Chrome Extension ·         As an Edge Extension  

The underground content system that works in nap time and pays like a full-time salary EPISODE SUMMARY This episode explores how busy parents can leverage their limited evening hours (as little as 73 minutes) to build profitable AI content agencies generating $5,000+ monthly without employees or office overhead. Host Tracy Brinkmann reveals the exact system working for parents right now, including the three-tool foundation, service packaging strategies, and the Weekend Launch Method to land your first $500 client in 72 hours. TIMESTAMPS & KEY INSIGHTS 00:00 The 73-Minute Parent Revolution 01:05 Episode Overview 02:05 Controversial Truth 02:45 Success Story 05:10 Three-Tool Foundation 07:40 Service Package Framework 08:30 Weekend Launch Method 09:55 Scaling System 11:15 Pricing Psychology 13:40 The Bigger Picture 16:20 Whiskered Wisdom STRATEGIES SHARED The Three-Tool AI Content Stack Content Creation: ChatGPT Plus for all written content Visual Design: Canva Pro for graphics and templates Automation: Blotato for publishing and client management Service Packaging Strategy Tiered pricing model with clear value propositions Monthly recurring revenue focus Scalable deliverables that don't require constant manual work Weekend Launch Method Friday: Research and identify prospects Saturday: Create proof-of-concept content Sunday: Outreach with value-first approach Scaling Without Burnout Batch content creation using AI Automated publishing schedules Single dashboard client management Evening/weekend work schedule RESOURCES MENTIONED Essential Tools ChatGPT Plus ($20/month) - Content creation Canva Pro ($15/month) - Visual design Blotato.com ($29/month) - Publishing automation Newsletter & Community AI Escape Plan Newsletter - DarkHorseSchooling.com Practical AI strategies for parent entrepreneurs Family-time-protecting side hustle systems Pricing Packages Content Starter: $1,500/month Content Pro: $2,500/month Content Authority: $4,000/month ACTION STEPS TO TAKE Immediate Actions (This Week) Research Local Businesses: Identify 10 businesses with poor social media presence Set Up Tools: Get ChatGPT Plus, Canva Pro accounts Create Sample Content: Make 3 social media posts for one business Practice Pitch: Develop your value proposition statement Short-Term Goals (Next 30 Days) Launch Weekend Method: Execute the 72-hour client acquisition process Refine Service Packages: Finalize your three-tier offering structure Build Content Templates: Create reusable frameworks for efficiency Test Blotato.com: Explore automation platform capabilities Long-Term Vision (3-6 Months) Scale to $5K Monthly: Acquire 3-4 clients at different package levels Systematize Operations: Full automation of content creation and publishing Expand Service Area: Consider additional local markets or service types Build Referral System: Leverage satisfied clients for growth CALL TO ACTION SECTIONS Sign up for the AI Escape Plan newsletter at DarkHorseInsider.com - your roadmap to more money, more freedom, and more of what truly matters.  

Tune in as the team discusses:Why fear-based headlines about AI replacing investors miss the markThe human elements of land investing AI can't replicate: trust, empathy, and judgmentUsing AI as a delegation and automation tool—not a replacement for decision-makingHow land investing conversations often involve storytelling and “land therapy”Practical AI use cases for land investors: training, intake simulations, and analysisWhy sellers still want to talk to real people before signing deedsThe role of AI in speeding up due diligence while keeping humans in controlHow relationships—not algorithms—drive off-market land dealsPreparing for an AI-powered future without losing authenticity TIP OF THE WEEKMark: Use AI to save time on analysis and repetitive tasks, but keep humans front and center for relationships and decisions.Mike: Sellers don't just sell land—they sell stories. Empathy and trust are advantages AI can't replace.Jon: Treat AI like an intern—let it handle 80% of the work, then apply human judgment to finish strong.WANT MORE?Enjoyed this episode? Dive into more episodes of AOPI to discover how to build real passive income through land investing.UNLOCK MORE FREE RESOURCES:Get instant access to my free training, a free copy of my Bestseller Dirt Rich Book, and exclusive bonuses to accelerate your land investing journey—it's all here: https://thelandgeek.ac-page.com/Podcast-Linktree."Isn't it time to create passive income so you can work where you want when you want, and with whomever you want?"

"Excellence happens when you try, each day, to both do and be a little better than you were yesterday." – Pat Riley Check Out These Highlights:  I'm excited to discuss our topic today on how to keep selling human while scaling AI across the funnel. We can get a little better each day, quickly now that we have AI tools that can help us navigate and get more done with ease, if leveraged correctly. In this episode, my guest will share simple workflow redesigns that free reps from admin and give them more time with customers. You will learn how to pair AI with trust, curiosity, and clear next steps. She will share practical plays teams can use this week, and explain how managers coach behaviors that stick and how to measure progress with leading indicators. About Nikki Barua: Nikki is a serial entrepreneur, keynote speaker, and bestselling author. She is CEO and Co-Founder of FlipWork, the human + agentic system for workforce reinvention. For 25 years, she has helped global brands transform strategy, culture, and capabilities. A recognized expert on digital transformation and change, Nikki is featured by CNBC, Bloomberg, Fortune, and Forbes, and honored by EY and Entrepreneur Magazine for visionary leadership and impact. How to Get in Touch with Nikki Barua: Website:   https://www.flipwork.ai/ LinkedIn: https://www.linkedin.com/in/nikkibarua/ Newsletter: https://www.nikkibarua.com/newsletters/reinvention-roadmap/subscribe Stalk me online! LinkTree: https://linktr.ee/conniewhitman Subscribe to the Changing the Sales Game Podcast on your favorite podcast streaming service or YouTube.  New episodes are posted every week - listen as Connie delves into new sales and business topics, or addresses problems you may have in your business.

In this episode, host Sandy Vance sits down with Parminder Bhatia , the Chief AI Officer from GE HealthCare , for a thoughtful, forward-thinking conversation about the rapidly shifting landscape of AI in healthcare. Together, they explore why healthcare is so ready for transformation, the four critical areas where change is most urgent, and how smarter systems can ease some of the industry's most complex workflows. Sandy and Parminder dig into how foundation models and the rise of agentic AI can finally help healthcare move beyond fragmented solutions. In this episode, they talk about:How AI is transforming a healthcare industry that's long overdue for changeThe four key areas where transformation is most neededStreamlining some of the most complex medical processesHow better communication and information can assist clinicians during labor and deliveryUsing foundation models to reduce fragmentation in healthcare AISupporting the multi-step workflows of radiologistsWhy agentic AI represents the future of healthcare innovationA Little About Parry:At GE HealthCare, Parry is focused on integrating AI across smart devices, across the patient journey, and at the hospital operations level. The company is a long-time leader in healthcare AI, topping the FDA's list of AI-enabled devices for four consecutive years with more than 115 authorizations. Parry's team advances AI within medical devices to improve patient outcomes, and he also serves on the company's responsible AI committee to ensure new solutions are reliable, scalable, and ethical. His work has earned recognition from Modern Healthcare's 40 Under 40, the AIM AI 100 Awards, and Constellation Research's AI 150. Before joining GE HealthCare, Parry was Head of Applied Science at Amazon, contributing to machine learning and generative AI products such as Amazon Comprehend Medical. He previously held AI and machine learning roles at Microsoft and Georgia Tech. He holds a B.S. in Computer Science from the Indian Institute of Technology and an M.S. in Computational Science and Engineering from the Georgia Institute of Technology.

In this episode of the TestGuild DevOps Toolchain podcast, Joe Colantonio sits down with Brad Groux, technologist, AI strategist, and CEO of Digital Meld, to explore what it really takes for businesses to adopt AI successfully. Brad shares practical insights on: How to prepare your people, processes, and data before bringing in AI tools like Copilot or ChatGPT Separating hype from reality when evaluating AI and automation solutions Building an AI stack on a budget that empowers mid-sized businesses to compete Why "start small, think big" is the winning mindset for sustainable digital transformation The role of responsible AI and how leaders can balance innovation with ethics Whether you're a QA leader, automation engineer, or business exec, this episode will give you a grounded blueprint to cut through the noise and unlock the real value of AI in your organization.

Might internal memos be a thing of the past?When you can just build something as fast as writing a memo about it, why wouldn't you just build the demo? In this episode of Everyday AI, we sit down with Google Cloud's Richard Seroter to break down five simple ways to use AI with Google. No technical background needed.We talk faster research, better learning, building ideas without overthinking, and why “demos over memos” might change how teams work.If you want practical, no-BS ways to actually use AI in your day‑to‑day, this one's worth a listen.5 Practical AI Workflows That Actually Matter -- An Everyday AI Chat with Jordan Wilson and Google's Richard Seroter (Replay)Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Five Practical AI Workflows with GoogleGemini Deep Research for Rapid AnalysisNotebookLM AI-Powered Knowledge ExplorationGemini CLI and Code Assist for DevelopersGoogle Jewels Autonomous Coding AgentsAI Change Management and Workflow AutomationGemini's Contextual Integration with Email and CalendarGemini and Agentic AI Across Google ProductsTimestamps:00:00 "Simple AI Strategies for Workflows"06:14 "Embracing AI-First Thinking"08:49 "Effective Strategies for Deep Research"11:24 "Context Engineering with LLMs"15:32 "Unlocking AI's Business Potential"17:33 Simplifying Complexity with AI21:21 "Everyone's a Builder Now"24:54 "Building AI Tools for Everyone"28:06 "Communicating Intent to AI Agents"30:16 "AI: The Smarter Interface"33:30 "Everyday AI: Wrap-Up & Subscribe"Keywords:Gemini Deep Research, Google AI, generative AI, AI workflows, Google Cloud, NotebookLM, AI strategies, AI transformation, change management, contextualized AI, agentic work, AI-powered research, personalized AI, deep research tools, collaborative AI agents, AI in business, AI for analysis, large language models, AI for everyday business leaders, Gemini CLI, code assist, AI coding agent, Google Jewels, autonomous AI, background AI teammate, context engineering, integrating AI in workflows, AI for HR, marketing AI, AI-powered knowledge management, learning with AI, AI onboarding, student AI tools, spec driven development, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

What does it really mean to make AI practical in product teams? In this special year-end episode, Vidya Dinamani and Heather Samarin are sharing highlights from a recent Product Rebels live webinar focused on how product leaders can apply AI in meaningful, responsible ways. Joined by Polly Allen, former Principal Product Manager at Alexa AI, they explore grounding AI in real customer problems, aligning AI efforts to business strategy, and why leaders can't afford to stay hands-off. This is a candid, experience-driven conversation about judgment, risk, and leadership in an AI-powered product world.

Dr. A. Z. Andis Arietta is a scientist whose work spans the intersection of AI, conservation, and herpetoculture (azandisresearch.com). He earned his PhD from Yale School of the Environment, where his research areas included ecological genomics, amphibian ecophysiology and development, and the ethics of conservation. That scientific and philosophical grounding now informs how he thinks about evidence-based animal care, conservation policy, and the impacts of data infrastructure.Professionally, Andis is a Senior Data Scientist working in machine learning, causal inference, and applied AI. He also teaches graduate courses on Practical AI, research methods, and data visualization, with an emphasis on application in the environmental field.Andis is an active herpetoculturist who runs Holotypica (holotypica.com), a small husbandry-focused venture centered on ethically bred amphibians and reptiles, primarily focused on dart frogs and emerald tree skinks. His work in the hobby prioritizes animal welfare, transparent methods, and helping keepers succeed through education and evidence-based guidance.Across all of his work, Andis is interested in how AI can support conservation and environmental outcomes, including improving decision systems, extracting insight from unstructured data, and strengthening science communication, while remaining clear-eyed about the limitations and risks of these tools.