Podcasts about ai systems

Richard Gearhart and Elizabeth Gearhart, co-hosts of Passage to Profit Show have this discussion with leadership and scaling coach Kenny Lange, Jen Rafferty from Empowered Educator and Whitney Dueñas Richardson from Global Sprouts.      In this episode, leadership and scaling coach Kenny Lange, reveals why so many founders unknowingly sacrifice their soul, their people, and their purpose in the pursuit of growth—and how to avoid it. If you've ever felt like success requires becoming someone you're not, this conversation will challenge and inspire you to lead differently. Read more at: https://kennylange.com/     Jen Rafferty is the founder of Empowered Educator, a research-based professional development program dedicated to supporting teacher and school leader well-being. Empowered Educator focuses on the social and emotional well-being of adults in schools, leveraging concepts of mindset, emotional intelligence, and cognitive neuroscience. Read more at: https://empowerededucator.com/     Whitney Dueñas Richardson is the founder of Global Sprouts, a children's education brand with a focus on cultural learning, creativity, and language exposure. A multicultural mom with CHamoru and Dutch roots, Whitney built her business while navigating postpartum recovery, the loss of her home to Hurricane Helene, and the challenges of starting over from scratch. Read more at: https://www.globalsprouts.com/     Whether you're a seasoned entrepreneur, a startup, an inventor, an innovator, a small business or just starting your entrepreneurial journey, tune into Passage to Profit Show for compelling discussions, real-life examples, and expert advice on entrepreneurship, intellectual property, trademarks and more. Visit https://passagetoprofitshow.com/ for the latest updates and episodes. Chapters (00:00:00) - Starting a Business(00:00:30) - Passage to Profit(00:01:38) - What Was I Thinking?(00:07:05) - Tim Ferriss: Sacrificial Souls(00:11:34) - What's Your Most Challenging Leadership Situation?(00:16:01) - Hiring Processes: Design the Head and Fit It(00:17:34) - What Is The Secret to Scaling a Company?(00:19:15) - Is there a lot of simplification that's required in order to(00:21:12) - The Investment Value of Gold(00:22:14) - The Cruise Hotline(00:23:12) - Lead to Scale: How to Avoid Burnout(00:25:58) - The Enneagram: How to Lead With Self-awareness(00:31:49) - Intellectual Property News(00:34:11) - Kenny Lang on Netflix's Copyright Lawsuit(00:39:24) - Medguard CareWatch(00:42:07) - What's Happening in the Studio?(00:44:18) - Mayo Clinic's AI System to Identify Surgery Site Infections(00:46:19) - Empowered Educator(00:47:36) - How to Talk to Yourself About Burnout(00:52:34) - Burnout and the Regulation of the Nervous System(00:55:30) - How to Recover From Burnout Through Emotional Intelligence(00:58:48) - Teachers and the Future of AI(01:02:44) - The Right Way to Teach AI(01:04:06) - Whitney Duanes Richardson on Global Sprouts(01:07:21) - Have You Got What it Takes to Teach Culture?(01:11:11) - Passage to Profit(01:12:23) - Passage to Profit: A Mother's Phone(01:13:39) - Secret to Success: The Entrepreneurial Mind(01:14:55) - Richard Gearhart on Self-Care(01:16:46) - P2P

UL NO. 496: STANDARD EDITION | New Video on Building my Personal AI System, Anthropic Reveals One-person Hacking Company using Claude, Pentagon Says China Keeps Penetrating, and more... Read this episode online: https://newsletter.danielmiessler.com/p/ul-496 Personal AI Video I'm so excited about Subscribe to the newsletter at:https://danielmiessler.com/subscribe Join the UL community at:https://danielmiessler.com/upgrade Follow on X:https://x.com/danielmiessler Follow on LinkedIn:https://www.linkedin.com/in/danielmiesslerBecome a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

What happens when a Gen Z agent trades med school for million-dollar deals and scales both a real estate team and media company, all by 23? In this episode, Omer Reshid shares how he went from cold-emailing a top broker to closing his first deal in weeks. We dive into the AI tools fueling his day-to-day, from offer analysis to content creation. If you're serious about scaling smarter and faster, this episode is your blueprint. Get ready to rethink how you work, market, and win with AI. Guest: Omer Reshid Website: https://capitalcornergroup.com   Instagram: https://www.instagram.com/omerreshid_/   TikTok: https://www.tiktok.com/@omerreshid_  LinkedIn: https://www.linkedin.com/in/omer-reshid-572617194   Host: Rajeev Sajja Rajeev Sajja on Facebook Rajeev Sajja on Instagram Rajeev Sajja on LinkedIn Rajeev Sajja on YouTube   Resources:  Agent to AIgent book on Amazon - https://a.co/d/0YxMd2Y Real Estate AI Flash Podcast Site AI Playbook Join the Instagram Real Estate AI Insiders Channel Join the Real Estate AI Academy waitlist Subscribe to the Real Estate AI Flash Newsletter

A panel discussion with AI industry leaders revealing how enterprises are scaling AI today, with predictions on coming breakthroughs for AI and the impact on Fortune 500 companies and beyond.Topics Include:Three technical leaders discuss production challenges: security, interoperability, and scaling agentic systemsPanelists represent Enkrypt (security), Anyscale (infrastructure), and CrewAI (agent orchestration platforms)Industry moving from flashy demos to dependable agents with real business outcomesBreakthrough examples include 70-page IRS form processing and multimodal workflow automationMultimodal data integration becoming crucial - incorporating video, audio, screenshots into decisionsLess than 10% of future applications expected to be text-onlyCompanies shifting from experimenting with individual models to deploying agent networksNeed for governance frameworks as enterprises scale to hundreds of agentsGrowing software stack complexity requires specialized infrastructure between applications and GPUsSecurity teams need centralized visibility across fragmented agent deployments across enterprisesExisting industry regulations apply to AI services - no special AI laws neededInteroperability standards debate: MCP gaining adoption while A2A seems premature solutionMCP shows higher API reliability than OpenAI tool calling for implementationsMultimodal systems more vulnerable to attacks but value proposition too high ignoreFortune 500 company automated price operations approval process using 630 brands data87% of enterprise customers deploy agents in private VPCs or on-premises infrastructureSpecialized AI systems needed to oversee other agents at machine speed scalesCost optimization through model specialization rather than always using most powerful modelsFuture learning may happen through context/prompting rather than traditional weight fine-tuningPredictions include AI meeting moderators and agents working autonomously for hoursParticipants:Robert Nishihara - Co-founder, AnyscaleJoão Moura - CEO, CrewAISahil Agarwal - Co-Founder & CEO, Enkrypt AIJillian D'Arcy - Sr. ISV Sales Leader, Amazon Web ServicesFurther Links:Anyscale – Website | LinkedIn | AWS MarketplaceCrewAI - Website | LinkedIn | AWS MarketplaceEnkrypt AI - Website | LinkedIn | AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

AI executives from Archer, Demandbase and Highspot and AWS reveal how they're tackling AI's biggest challenges—from securing data, managing regulatory changes and keeping humans in the loop.Topics Include:Three AI leaders introduce their companies: Archer, Demandbase and Highspot's approaches to enterprise AIDemandbase's data strategy: Customer data stays isolated, shared data requires consent, public sources fuel trainingGeographic complexity: AI compliance varies dramatically between Germany, US, Canada, and California regulationsHighSpot tackles sales bias: Granular questions replace generic assessments for more accurate rep evaluationsSBI framework applied to AI: Specific behavioral observations create better, more actionable sales coachingAI transparency through citations: Timestamped evidence lets managers verify AI feedback and catch hallucinationsArcher handles 20-30K monthly regulations: AI helps enterprises manage overwhelming compliance requirements at scaleTwo compliance types explained: Operational (common across companies) versus business-specific regulatory requirementsEU AI Act adoption: US companies embracing European framework for responsible AI governanceHuman oversight becomes mandatory: Expert-in-the-loop reviews ensure AI decisions remain correctable and auditableThe bigger AI risk: Companies face greater danger from AI inaction than AI adoptionAgentic AI security challenges: Data layers must enforce permissions before AI access, not afterAI agents need identity management: Same access controls apply whether human clicks or AI actsHuman oversight in high stakes: Chief compliance officers demand transparency and correction capabilitiesFuture challenge identified: 80% of enterprise data behind firewalls remains invisible to AI modelsParticipants:Kayvan Alikhani - Global Head of Engineering- Emerging Solutions, Archer Integrated Risk ManagementUmberto Milletti - Chief R&D Officer, DemandbaseOliver Sharp - Co-Founder & Chief AI Officer, HighspotBrian Shadpour - General Manager, Security, Amazon Web ServicesFurther Links:Archer Integrated Risk Management: Website – LinkedIn – AWS MarketplaceDemandbase: Website – LinkedIn – AWS MarketplaceHighspot: Website – LinkedIn – AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

If you're a coach, blogger, or online entrepreneur struggling to make consistent income from your digital products, you're not alone. Most creators try to sell one digital product and fail because they're missing a crucial piece of the puzzle: a systematic approach that transforms low-paying customers into high-value clients. In my latest episode of The Blogger Genius Podcast, I revealed the exact AI-powered system that successful creators use to build $10,000+ monthly businesses. This isn't theory—it's the proven strategy that MiloTree users like Sarah have used to grow from 200 email subscribers to $11,000 monthly revenue in just six months. In this post, we'll unpack how to create a digital product ladder, use AI to build your entire system, and leverage MiloTree to handle all the tech without the headache. Show Notes: MiloTree Free Plan Digital Product Ladder AI Prompt (Free Download) 6 Purchasing Triggers Test Join The Blogger Genius Newsletter Become a Blogger Genius Facebook Group Subscribe to the Blogger Genius Podcast: iTunes YouTube Spotify Why Most Digital Product Creators Fail (And How to Avoid Their Mistakes) The biggest mistake creators make is building products they're passionate about instead of solving problems people actually pay to solve. Before you create anything, your digital product idea must pass what I call the “Purchasing Triggers Test.” Your product needs to do at least two of these six things: Make someone money Save them money Save them time Move them toward happiness Move them away from pain Raise their social status If your idea doesn't hit at least two triggers, don't build it. You'll waste months creating something nobody wants to buy. Let's test this with a real example: “Time Management for Busy Moms” ✅ Save them time? Absolutely ✅ Move them toward happiness? Yes (less stress, more family time) ✅ Move them away from pain? Yes (overwhelm and guilt) This passes with flying colors because it hits three triggers. The Digital Product Ladder System That Creates $10K Months Here's what successful creators understand that others don't: instead of selling one product, they build a digital product ladder. This system starts with a free valuable resource and guides customers through increasingly valuable solutions at higher price points. The magic happens when someone who downloads your free guide eventually becomes a $2,000 mastermind member. That's how you reach $10,000 monthly revenue—not by selling a million $10 products. The 6-Step Digital Product Ladder Framework Step 1: Free Valuable Resource (Freebie) Solves one specific problem Delivers a quick, tangible win Gets people on your email list Step 2: Tripwire Product ($7-$27) Small purchase on your thank-you page Naturally follows from the freebie Turns subscribers into buyers Step 3: Product Bundle ($47-$97) Combines multiple resources Provides comprehensive results Higher perceived value Step 4: Mini Course or Coaching Package ($197-$497) Structured learning experience Leads customers toward membership More hands-on support Step 5: Monthly Membership ($27-$97/month) Ongoing support and community Recurring revenue stream Builds long-term relationships Step 6: Premium Mastermind ($997-$2,997) High-touch program For serious implementers Your highest revenue generator The AI Prompt That Builds Your Entire Business Model in 30 Seconds Here's the game-changing AI prompt that creates your complete digital product ladder system. Simply go to ChatGPT (the free version works fine) and enter this prompt with your specific details: “I want to create a complete digital product ladder for [YOUR NICHE/TOPIC]. Help me design a six-step customer journey that transforms a free subscriber into a high-value customer. Step 1: Create a valuable freebie that solves one specific pain point and delivers a quick, tangible win. Step 2: Design a tripwire product that's something small I can sell on the thank-you page after someone joins my list. This product should naturally follow from the freebie and provide deeper value. Step 3: Develop a product bundle that combines multiple resources for comprehensive results. Step 4: Structure a mini course or coaching package that ultimately leads customers into joining my membership. Step 5: Design a monthly membership that provides ongoing support and community. Step 6: Create a premium mastermind or high-touch program for serious implementers. For each step, provide the product concept, main benefits, suggested price, and how it connects to the next level.”   How MiloTree Eliminates the Tech Overwhelm The biggest obstacle most creators face isn't knowing what to create—it's the technical setup. How do you actually build all this without getting overwhelmed by complicated tech? This is where MiloTree becomes your secret weapon. You can set up each step of your ladder—from your freebie to your mastermind membership—right inside MiloTree without needing a website or expensive tech tools. Why MiloTree is Perfect for Digital Product Ladders: 1. AI-Powered Sales Pages MiloTree's AI writes your sales pages for you. You use AI to create the products, then use AI to sell them. It's like having a sales team working 24/7 to move customers up your ladder. 2. Hassle-Free Setup Set up products in under 5 minutes No tech skills required AI tools handle the heavy lifting 3. Complete Delivery System MiloTree handles the delivery of your digital downloads directly to your customers. No complicated email sequences or third-party integrations needed. 4. Start for Free With MiloTree's Free Plan, you can: Sell one digital product Offer one freebie Add one social media pop-up to your site 5. With the MiloTree Grow Plan Sell digital products Offer unlimited freebies Grow your email list Build customer relationships Scale with affordable plans Your Action Plan: Start Building Your Digital Product Ladder Today Ready to transform your online business? Here's exactly what to do: Step 1: Test Your Idea Use the six purchasing triggers test. If your idea doesn't hit at least two triggers, pick a different problem to solve. Step 2: Use the AI Prompt Copy the complete digital product ladder AI prompt and run it through ChatGPT with your specific niche details. Step 3: Start with Your Freebie Don't try to build everything at once. Start with step one—your valuable freebie that gets people on your email list. Step 4: Set Up Your Tech Stack Sign up for MiloTree's Free Plan and create your opt-in page. You can have your freebie live and collecting emails within the hour. Step 5: Build Systematically Once your freebie is working, add your tripwire product, then your bundle, and so on. Build your ladder one step at a time. Free Resources to Get You Started

You ever do something 600 times in a row? That's what we're doing today. To celebrate our 600th episode, we're bringing you: 6 AI Myths You Should Stop BelievingX10 AI Systems You Must Learn and X10 AI Trends You Can't Afford to IgnoreNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.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:Six Common AI Myths DebunkedAI as Competitive Advantage MythProductivity Gains from AI ToolsAI Copilot vs Autonomous AI AgentsEmpathy and Creativity in AI ModelsAI Job Creation vs Job LossesHuman in the Loop LimitationsTen Must-Learn AI Systems OverviewChatGPT Usage for Business LeadersGoogle AI Studio and Gemini ApplicationsImportance of Agentic Browsers and CopilotOpen Source AI Model AdoptionAI Video Platform Skill DevelopmentAI Coding Tools for Non-DevelopersEvaluating and Benchmarking AI ModelsTen Key AI Trends for 2025Digital Evidence and AI-Generated ContentThird-Party AI Chat Platform DeclineImpact of AI on Social Media AdsChanging Landscape of Web BrowsingSurge in Open Source AI SolutionsWorld Models as Next AI FrontierRise of AI-Native Consulting FirmsExplainable AI and Agentic TraceabilityAI's Influence on US 2026 ElectionsGenerative AI Impact on Remote WorkTimestamps:00:00 "Mastering AI: Myths, Systems, Trends"04:48 Exclusive AI Insights Offer07:39 AI Tools Misunderstood by Executives12:01 AI: More Empathetic and Creative13:19 "AI's Impact on Full-Time Work"17:51 Partner with Us for AI Training19:28 Essential AI Skills for 2020s22:32 "Google Gemini: Free Powerful AI Model"26:06 Copilot Access and Permissions Training29:20 Evaluating Constantly Evolving AI Models33:24 "Learn AI Coding Tools Now"37:19 "Enterprise AI Survival Prospects"40:48 Open Source's Rise Over Websites44:59 "AI Market: Speed and Accountability"48:20 AI Disrupts Work-from-Home ModelsKeywords:AI myths, generative AI, AI systems, AI trends, AI fact vs fiction, AI competitive advantage, AI productivity, AI tool deployment, Copilot, Microsoft Copilot, ChatGPT, OpenAI, Google Gemini, agentic AI, agentic browsers, AI automation, workplace AI adoption, AI training, AI business strategy, AI model benchmarking, model evaluation, modular AI solutions, Hugging Face, LLM Arena, Google AI Studio, prompt engineering, context engineerSend 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

It took me a long while to realize this: AI isn't just something like a chatbot for my customers. AI can work behind the scenes to facilitate getting the right stuff in front of the right people for me, even just to figure out who people are and how I should talk to them. And today, I want to share exactly what I'm doing, how expensive this is to run, and how I believe this can be part of every single software as a service business out there—even if you don't have any touchpoint with artificial intelligence in that business at all. Even if you don't think you should be offering AI features to your customers.This episode of The Bootstraped Founder is sponsored by Paddle.com — SaaS Happy Hour SeriesThe blog post: https://thebootstrappedfounder.com/the-0-20-day-ai-system-that-converts-trial-users-into-paying-customers/ The podcast episode: https://tbf.fm/episodes/the-0-20-day-ai-system-that-converts-trial-users-into-paying-customersCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

Most of the time, AI companies are locked in a race to the top, treating each other as rivals and competitors. Today, OpenAI and Anthropic revealed that they agreed to evaluate the alignment of each other's publicly available systems and shared the results of their analyses. The full reports get pretty technical, but are worth a read for anyone who's following the nuts and bolts of AI development. In other news, WhatsApp just introduced an AI-powered writing assistant, in case you need help with a text or whatever. The AI provides suggestions in various styles, like professional, funny or supportive. Once generated, the user can continue editing the message if required. And, Copilot, Microsoft's AI assistant that's integrated into Windows and Microsoft 365, is making the jump to your living room. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Upriver co-founder and CEO Ido Bronstein joins Dash0's Mirko Novakovic for a deep dive into the hidden risks of bad data and why “shift-left” observability is becoming essential. Ido shares why catching data issues at the source is critical for reliable pipelines, how Upriver helps engineers take ownership of data quality, and why AI adoption is making data accountability non-negotiable.

Today's guest on the ‘AI in Financial Services' podcast is Charleyne Biondi, Associate Vice President of Moody's Ratings in the Digital Economy Team. Charleyne brings a broad perspective on how AI adoption is unfolding in financial services and the wider global economy. She explains how generative AI has lowered adoption barriers, accelerating experimentation while raising new challenges around integration, risk, and reliability. While many businesses see immediate efficiency gains at the individual level, Charleyne notes that true productivity impact requires deeper organizational transformation—connecting AI to legacy IT systems, retraining staff, and ensuring secure and reliable outputs. Want to share your AI adoption story with executive peers? Click emerj.com/e2 for more information and to be a potential future guest on Emerj's flagship' AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

In this episode of OpenTechTalks.tv, we dive into the intricate world of conversational AI with Yam, the founder of Parland. Discover the challenges of managing complexity and uncertainty in AI systems, and explore the opportunities that arise with the advent of GPT-4 and beyond. Yam shares insights on the importance of control in AI development, the role of subjectivity in conversation design, and the potential pitfalls of overhyped expectations. Join us for a thought-provoking discussion on the future of AI and its impact on the tech industry. Sound Bites "I wanted to start my own company at that point." "How can we introduce more control into GenAI?" "We felt that things were really overhyped."   Episode # 163 Today's Guest: Yam Marcovitz, Co-founder and CEO of Parlant Yam Marcovitz is the co-founder and CEO of Parlant, an open-source platform that assists enterprises in building reliable, compliant, and predictable AI agents for customer experience. Website: Parlant What Listeners Will Learn: A journey from coder to entrepreneur highlights the evolution of AI. The challenges in programming languages stem from subjective decision-making. Control in generative AI is crucial for building reliable systems. Conversational design must consider real user behavior and preferences. Market research is essential for understanding user needs in AI. Open-source frameworks should focus on specific use cases for better utility. Managing complexity in AI conversations requires a clear separation of concerns. Mistakes in AI can have significant implications, not just in terms of frequency. New developers should seek mentorship and avoid hype-driven decisions. Understanding the landscape of AI requires practical experience and community engagement. Chapters 00:00 Introduction to Jam and His Journey 02:34 The Genesis of Parland and GPT-4 Influence 05:13 Challenges in Programming Language Design 07:59 Exploring Control in Generative AI Systems 10:39 Conversations and User Experience in AI 13:26 Building a Powerful Open Source Engine 14:57 Building Efficient AI Agents 15:53 Challenges in Complex AI Interactions 18:09 Managing AI Safety and Control 21:10 Key Learnings for AI Project Development 22:08 Understanding Uncertainty in AI Development 25:26 Addressing Hallucinations in AI Systems 27:24 Navigating the Learning Journey in AI Development  

In this episode of Unsupervised Learning, I sit down with Michael Brown, Principal Security Engineer at Trail of Bits, to dive deep into the design and lessons learned from the AI Cyber Challenge (AIxCC). Michael led the team behind Buttercup, an AI-driven system that secured 2nd place overall. We discuss: -The design philosophy behind Buttercup and how it blended deterministic systems with AI/ML -Why modular architectures and “best of both worlds” approaches outperform pure LLM-heavy -designs -How large language models performed in patch generation and fuzzing support -The risks of compounding errors in AI pipelines — and how to avoid them -Broader lessons for applying AI in cybersecurity and beyond If you’re interested in AI, security engineering, or system design at scale, this conversation breaks down what worked, what didn’t, and where the field is heading. Subscribe to the newsletter at:https://danielmiessler.com/subscribe Join the UL community at:https://danielmiessler.com/upgrade Follow on X:https://x.com/danielmiessler Follow on LinkedIn:https://www.linkedin.com/in/danielmiesslerBecome a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

As AI becomes deeply embedded in every industry, building AI systems that are secure, responsible, and privacy-centric is more crucial than ever. But where do you begin? At the strategy level? Design? Or implementation? How do organizations tackle the challenges of AI risks, data governance, and compliance while keeping pace with innovation?Join us for an insightful conversation with Punit Bhatia and Santosh Kaveti, CEO of Pro Arch, as we explore the evolving landscape of responsible AI, key foundational steps, and the practical approaches to secure AI deployment.If you're looking to understand how to build AI systems that are not only innovative but also secure and trustworthy, this episode is for you!KEY CONVERSION 00:01:58 Responsible AI 00:04:30 AI Strategy 00:11:43 Role of standards and Approach 00:15:35 Good practices of Data Governance 00:19:55 AI Talent 00:23:10 Pro Arch Role in costumers 00:25:00 Contact Information of Santosh  ABOUT GUEST Santosh Kaveti is CEO & Founder at Proarch. With over 18 years of experience as a technologist, entrepreneur, investor, and advisor, Santosh Kaveti is the CEO and Founder of ProArch, a purpose-driven enterprise that accelerates value and increases resilience for its clients with consulting and technology services, enabled by cloud, guided by data, fueled by apps, and secured by design. Santosh's vision and leadership have propelled ProArch to become a dominant force in key industry verticals, such as Energy, Healthcare & Lifesciences, and Manufacturing, where he leverages his expertise in manufacturing process improvement, mentoring, and consulting. Operationalizing AI: From Strategy to Execution Navigating AI Risks: Ensuring Security and Compliance Prioritizing AI Initiatives: Aligning with Business Goals Attracting and Retaining Top AI Talent Integrating AI into Core Business Functions The Data Foundation: Governance, Quality, and Culture in AI  Santosh's journey is marked by resilience, ambition, and self-awareness, as he has learned from his successes and failures, and continuously evolved his skills and perspective. He has traveled across 23 countries, gaining insights into the global diversity and interconnectedness of human experiences. He is passionate about blending technology with a human-centric approach and making a meaningful societal impact through his support for initiatives that uplift underprivileged children, assist disadvantaged families, and promote social awareness.Santosh's ethos extends to his investments in and mentorship of promising startups, as well as his role as the Chairman of the Board at Enhops and iV4, two ProArch companies.  ABOUT HOST Punit Bhatia is one of the leading privacy experts who works independently and has worked with professionals in over 30 countries. Punit works with business and privacy leaders to create an organization culture with high privacy awareness and compliance as a business priority. Selectively, Punit is open to mentor and coach professionals.  Punit is the author of books “Be Ready for GDPR' which was rated as the best GDPR Book, “AI & Privacy – How to Find Balance”, “Intro To GDPR”, and “Be an Effective DPO”. Punit is a global speaker who has spoken at over 30 global events. Punit is the creator and host of the FIT4PRIVACY Podcast. This podcast has been featured amongst top GDPR and privacy podcasts.  As a person, Punit is an avid thinker and believes in thinking, believing, and acting in line with one's value to have joy in life. He has developed the philosophy named ‘ABC for joy of life' which passionately shares. Punit is based out of Belgium, the heart of Europe.  RESOURCES Websites www.fit4privacy.com,www.punitbhatia.com, https://www.linkedin.com/in/santoshkaveti/ , https://www.proarch.com/  Podcast https://www.fit4privacy.com/podcast Blog https://www.fit4privacy.com/blog YouTube http://youtube.com/fit4privacy   

Running a business is about building something that works without you, not just putting in the hours. But far too many entrepreneurs stay stuck in the weeds, overwhelmed by daily tasks and unclear on how to truly scale. That’s where systems—and now, AI—change everything. In this conversation, Jaryd Krause is joined by David Jenyns, founder of Systemology and author of SYSTEMology and The Systems Champion, to unpack how smart systems combined with the power of AI are transforming the way online businesses grow. David has built and sold multiple companies, helped hundreds of business owners systemize their operations, and now leads the conversation on how AI can be used not just to support teams, but to replace certain roles altogether. You’ll learn: ✔️ How to use AI to build and improve systems in your business✔️ Why experienced talent plus AI is replacing the traditional VA model✔️ How to step back from your business without losing momentum✔️ Real-life examples of AI replacing inefficiencies and boosting profits When it comes to growing your business, reclaiming your time, and creating something that endures, this episode is packed with useful strategies and steps to follow.

Alexandra McGauley is a visionary leader and one of the youngest female L8 executives in Amazon's history, achieving the rank at just 27. As an Auburn University Supply Chain Management graduate, she spent eight years at Amazon leading thousands of employees across operations, learning, finance, safety, HR, IT, loss prevention, maintenance, and engineering. In 2020, she built Amazon's pandemic training support team from the ground up, supporting the onboarding of over 150,000 essential workers. Prior to leaving Amazon, she directly led a total org size of about 100+ salaried leaders, 2800 hourly employees, and a network initiative to improve on-time customer deliveries by ~40% YoY across 33 sites.After Amazon, she led at startup unicorn, Scale AI where she designed and scaled a data labeling workforce that generated millions in ARR in less than 4 months. Alexandra then took a leap to confront systemic gaps in dataset diversity and quality by founding Erud AI. Erud AI is fully bootstrapped and profitable in under a year of operations. Erud AI is startup based in Austin, Texas, and specializes in niche fields, expert fields, and multimodal data creation for AI applications. As a business process outsourcing partner, Erud AI handles the heavy operational lift of sourcing, employing, and training AI data teams. Clients appreciate Erud AI's focus on customer service and quality. Separately, Alexandra takes on a limited number of clients as a Fractional COO to boost organization efficiency, productivity, and profitability.Alexandra is passionate about fostering diverse talent and embedding ethical frameworks into AI development across industries and applications. Listeners will value her expertise in scaling high-performing teams, operational excellence, grit and tenacity, and responsible AI data practices. Key Moments [06:06] Ethical Data Sourcing Mission [09:35] Leaving Amazon to Build My Vision [10:54] Managing Payroll for Contractors [15:31] Value of Business Cards Find Alexandra Onlinehttps://erud.ai/newsletterhttps://linkedin.com/in/amcgauleyhttps://alexandramcgauley.com If you're enjoying Entrepreneur's Enigma, please give me a review on the podcast directory of your choice. The show is on all of them and these reviews really help others find the show. iTunes: https://gmwd.us/itunes Podchaser: https://gmwd.us/podchaser TrueFans: https://gmwd.us/truefans Also, if you're getting value from the show and want to buy me a coffee, go to the show notes to get the link to get me a coffee to keep me awake, while I work on bringing you more great episodes to your ears. →  https://gmwd.us/buy-me-a-coffee or support me on TrueFans.fm → https://gmwd.us/truefans. Follow Seth Online: Seth | Digital Marketer (@s3th.me) Seth Goldstein | LinkedIn: LinkedIn.com/in/sethmgoldstein Seth On Mastodon: https://indieweb.social/@phillycodehound Seth's Marketing Junto Newsletter: https://MarketingJunto.com Leave The Show A Voicemail: https://voiceline.app/ee Learn more about your ad choices. Visit megaphone.fm/adchoices

Ready to future-proof your recruiting career in 2025? This episode of The Elite Recruiter Podcast is a no-fluff masterclass on winning with AI recruiting systems. Benjamin Mena sits down with Martin Gutierrez, business development lead at SourceWhale, to reveal how top recruiters build bulletproof systems to scale placements, automate busywork, and keep the human touch that wins clients and candidates.

In this episode, Vik Khurana explains the ‘building blocks' of an AI system and various legal and commercial trends, risks and issues. In particular:What are the building blocks?  A deep dive on training data, weights and parameters, model code, inference code and computational resources.  Where does value and IP reside within each block?  What is typically accessible and what is not?  What is proprietary and what is open sourced?The different licensing models and regulatory exceptions around the development and use of open source AI.Here is a link to the ‘building blocks' diagram Vik mentions in the episode that may be useful for listeners to view during the first half of the episode.Send us a textThanks for listening!If you have any feedback, questions or comments, please email us at theroadmap@bristows.comFind all the episodes as we release them here, and don't forget to subscribe! Follow us on X and LinkedIn using #TheRoadmapPod

The nature of Security Operations is changing. As cloud environments grow in complexity and data volumes explode, traditional approaches to detection and response are proving insufficient. This episode features an in-depth conversation with Kyle Polley, who leads the AI security team at Perplexity, about a modern blueprint for the Security Operations Center (SOC).The discussion centers on a necessary architectural shift away from traditional SIEMs, which were not built for today's scale, toward a "data lake infrastructure built for detection and response". Kyle explains how this model provides the scalability needed to handle modern data loads and enables a more effective incident response process.A cornerstone of this new model is the use of centralized AI agents. The conversation explores how these agents can be tasked with performing in-depth alert investigations, helping to reduce analyst burnout and allowing security teams to focus on more proactive, high-impact work. This approach moves beyond simple automation to create a system where AI augments and enhances the capabilities of the human team.Guest Socials -⁠⁠ ⁠⁠⁠⁠Kyle's Linkedin Podcast Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CloudSecPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:-⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Podcast- Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Newsletter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security BootCamp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you are interested in AI Cybersecurity, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Cybersecurity PodcastQuestions asked:(00:00) Introduction to Kyle Polley & The Future of SOCs(01:03) The Core Argument: Why You Must Build Your SOC Before Compliance(03:34) Beyond the Certificate: The Difference Between Being Compliant vs. Secure(04:20) Today's #1 AI Threat: The Challenge of Prompt Injection(06:00) The Architectural Flaw: Handling Untrusted Data in AI Systems(08:20) The "Security Data Lake": Moving Beyond the Traditional SIEM(15:00) The Future is Now: A Centralized AI Agent for Automated Investigations(20:06) Will AI Take My Job? How AI Elevates, Not Replaces, the Security Analyst(25:20) Redefining "Shifting Left" with Personal AI Security Agents(31:00) Can AI Reason? How Modern AI Agents Intelligently Query Logs(37:05) Rethinking Incident Response Playbooks in the Age of AI(41:00) The MVP SOC: A Practical Roadmap for Small & Medium Companies(46:08) Final Questions: Maintaining Optimism, Woodworking, and Tex-Mex(50:08) Where to Connect with Kyle PolleyResources spoken about during the episode:Easy Agents: an open-source frameworkHow to give every department their own AI Agent

A daily Chronicle of AI Innovations in August 07th 2025Hello AI Unraveled Listeners,In today's AI Daily News,

Understanding Agentic AI with Rita Castillo In this episode of the podcast, we dive into the fascinating world of Agentic AI with Rita Castillo, VP, Design – AI Platform Experiences. Rita illuminates how AI is becoming seamlessly woven into our daily routines, elevating automation and tackling intricate challenges. Rita deconstructs the shift from deterministic workflows to agentic systems, which can independently manage tasks while upholding ethical and security standards. We uncover the capabilities of Now Assist, the orchestrator, and specialized AI agents that unite to deliver tailored, effective, and reliable solutions. Rita also delves into the future potential of AI to unleash human creativity and propel business metamorphosis. Check out this episode for a profound dialogue on the transformative influence of AI in our professional and personal spheres. Guest - Rita Castillo, VP, Design – AI Platform Experiences Host - Bobby Brill 00:00 Introduction and Guest Welcome 03:15 Introduction to Agentic AI 05:11 Examples and Applications of Agentic AI 08:12 Autonomy in AI Systems 11:12 Deterministic Workflows and AI Learning 13:16 AI Agents and Orchestrators 17:56 Future of Agentic AI and Ethical Considerations 23:56 Large Scale Applications and Business Transformation 26:37 Conclusion and Final Thoughts ServiceNow Training and Certification: http://www.servicenow.com/services/training-and-certification.html ServiceNow Community: https://community.servicenow.com/community For general information about ServiceNow, visit: http://www.servicenow.comSee omnystudio.com/listener for privacy information.

Understanding Agentic AI with Rita Castillo In this episode of the podcast, we dive into the fascinating world of Agentic AI with Rita Castillo, VP, Design – AI Platform Experiences. Rita illuminates how AI is becoming seamlessly woven into our daily routines, elevating automation and tackling intricate challenges. Rita deconstructs the shift from deterministic workflows to agentic systems, which can independently manage tasks while upholding ethical and security standards. We uncover the capabilities of Now Assist, the orchestrator, and specialized AI agents that unite to deliver tailored, effective, and reliable solutions. Rita also delves into the future potential of AI to unleash human creativity and propel business metamorphosis. Check out this episode for a profound dialogue on the transformative influence of AI in our professional and personal spheres. Guest - Rita Castillo, VP, Design – AI Platform Experiences Host - Bobby Brill 00:00 Introduction and Guest Welcome 03:15 Introduction to Agentic AI 05:11 Examples and Applications of Agentic AI 08:12 Autonomy in AI Systems 11:12 Deterministic Workflows and AI Learning 13:16 AI Agents and Orchestrators 17:56 Future of Agentic AI and Ethical Considerations 23:56 Large Scale Applications and Business Transformation 26:37 Conclusion and Final Thoughts ServiceNow Training and Certification: http://www.servicenow.com/services/training-and-certification.html ServiceNow Community: https://community.servicenow.com/community For general information about ServiceNow, visit: http://www.servicenow.comSee omnystudio.com/listener for privacy information.

This week on Spaghetti on the Wall, we're joined by Brad Hart, founder of Optimus and Repurposefully, a mastermind architect and AI strategist who helps 7- and 8-figure entrepreneurs scale without burnout. Brad builds business ecosystems that combine relationships, automation, and smart leverage to deliver massive results. He's advised 8- and 9-figure founders, built dozens of masterminds, and helps clients integrate AI, streamline content, and regain their time.

Today's guest is Zar Toolan, General Partner and Head of Data & AI at Edward Jones, joining Emerj Senior Editor Matthew DeMello to explore how AI can be strategically aligned with corporate goals in financial services. Zar shares his perspective on overcoming barriers to AI adoption, the critical build-versus-buy-versus-partner decisions, and the human-centered change management required for scalable AI transformation. He also discusses the importance of responsible AI principles, leveraging data as a competitive asset, and evolving talent strategies to thrive in today's intelligence age. This episode is sponsored by EPAM. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business' podcast!

Today we'll talk about how AI systems, particularly the ones that do all the work for us, can both massively amplify and hinder our effectiveness. The good get better, and the bad get worse. It's a problem.This episode of The Bootstraped Founder is sponsored by Paddle.comThe blog post: https://thebootstrappedfounder.com/the-friction-paradox-why-ai-might-be-making-us-worse-at-what-we-do/ The podcast episode: https://tbf.fm/episodes/405-the-friction-paradox-why-ai-might-be-making-us-worse-at-what-we-doCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

In this episode, Jared Quincy Davis, founder and CEO at Foundry, introduces the concept of "compound AI systems," which allows users to create powerful, efficient applications by composing multiple, often diverse, AI models and services. We discuss how these "networks of networks" can push the Pareto frontier, delivering results that are simultaneously faster, more accurate, and even cheaper than single-model approaches. Using examples like "laconic decoding," Jared explains the practical techniques for building these systems and the underlying principles of inference-time scaling. The conversation also delves into the critical role of co-design, where the evolution of AI algorithms and the underlying cloud infrastructure are deeply intertwined, shaping the future of agentic AI and the compute landscape. The complete show notes for this episode can be found at https://twimlai.com/go/740.

In this critical episode of Generation AI, hosts Ardis Kadiu and JC Bonilla examine how AI agents and new consumer behaviors are creating a "great content collapse" that threatens traditional digital marketing. They discuss the launch of Grok 4's multi-agent reasoning system and ChatGPT Agent's integration of deep research with browser automation. The conversation reveals shocking statistics: 70% of Google searches now end without clicks, ChatGPT has a 1500:1 page scraping to traffic ratio, and 61% of Americans use AI as their primary information source. The hosts provide concrete strategies for higher education marketers to adapt, including optimizing for AI citations instead of clicks, implementing comprehensive schema markup, and creating question-based content architecture. This episode is essential listening for anyone responsible for digital marketing or web presence in higher education, as it outlines both the immediate threats and the massive first-mover advantages available to institutions that adapt quickly.Breaking AI News: Grok 4 and ChatGPT Agent (00:00:00)Introduction to Grok 4's multi-agent reasoning system using 200,000 GPUsGrok 4 Heavy employs teams of specialized agents working in parallelChatGPT Agent combines Deep Research, Operator browser automation, and tool usageDiscussion of controversial AI companions Annie and Rudy launched with GrokHow these advances accelerate the shift away from traditional web browsingThe Great Content Collapse: Shocking Statistics (00:17:04)61% of American adults have used AI tools in the last 6 monthsChatGPT approaching 1 billion weekly active users77% of Americans now use ChatGPT as a search engine65-70% of Google searches end without a single clickGoogle's scraping ratio deteriorated from 2:1 to 18:1 (now potentially 150:1)ChatGPT's scraping ratio: 1500 pages scraped for every 1 click sentConsumer Behavior Transformation (00:20:14)Traditional model: Question → Search → Click → Read → AnswerNew model: Question → AI Agent → Instant AnswerWebsites, content, and ads removed from the equationProduct discovery and shopping decisions now happening within AI interfacesAI agents becoming primary gateway for all information discoveryBrand Visibility Crisis in AI Systems (00:28:08)26% of brands have zero mentions in AI overviewsOnly strongest web presences get meaningful AI visibilityShopping agents demo as standard in every AI platform40% of people discover products through ChatGPTAttribution models completely breaking downNumber one brands getting 10x visibility advantage over competitorsEconomic Impact on Different Industries (00:33:17)E-commerce: Product discovery through AI conversation, not visual browsingMedia publishers: AI extracts value without driving readershipLocal businesses: Only top-ranked establishments get AI recommendationsSubscription models threatened by AI summariesCloudflare offering tools to block/monetize AI scrapingImmediate Predictions: Next 6 Months (00:39:11)Google AI mode moving beyond experimental to default experienceShopping ads expanding into AI overviewsSpecialized AI ecosystems for verticals (finance, travel, education)Every major platform integrating AI agents as primary interfaceTraditional SEO becoming completely irrelevantAdaptation Strategies: From SEO to GEO (00:42:54)GEO (Generative Engine Optimization) replacing traditional SEOImplement comprehensive schema markups for AI systemsStructure content with clear question-based headingsFAQs making a comeback for AI parsingCreate answer-focused content architectureInject brand names throughout content for AI citationsMonitor use case scenarios instead of keywordsThree Actions to Take Today (00:52:29)Audit how your brand appears across ChatGPT, Claude, Google AIStructure highest-value content for AI optimization immediatelyDevelop media strategy for YouTube and social platformsTrack AI citation frequency as new success metricCreate 90-day adaptation planFocus on becoming authoritative source that AI systems trust - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.

Ninad Naik is Co-founder and COO at Mira Network, where he leads research, tech, and operations. Prior to Mira, he spent over a decade as an executive and technology leader at Uber and Amazon across AI, marketplace, and hardware. Prior to technology, Ninad spent several years in investment banking and strategy consulting.In this conversation, we discuss:- Mira's unique approach to on-chain access control and identity management- The shift from static wallet-based gating to dynamic access and reputation layers- Why Hallucinations occur - The economic and social implications of truly autonomous AI are staggering- Why today's AI can't be trusted for high-stakes decisions without constant human supervision - How Mira's decentralized verification layer slashes AI error rates from ~30% to under 5% - Leveraging crypto incentives to power reliable, autonomous AI systems  - Evolving from batch-based review to real-time AI output validation - Focusing first on education and healthcare, where accuracy is mission-critical - Building Web3 infrastructure that addresses real-world Web2 failures  Mira NetworkWebsite: mira.networkX: @Mira_Network Discord: discord.gg/mira-networkNinad NaikLinkedIn: Ninad N.--------------------------------------------------------------------------------- This episode is brought to you by PrimeXBT. PrimeXBT offers a robust trading system for both beginners and professional traders that demand highly reliable market data and performance. Traders of all experience levels can easily design and customize layouts and widgets to best fit their trading style. PrimeXBT is always offering innovative products and professional trading conditions to all customers.    PrimeXBT is running an exclusive promotion for listeners of the podcast. After making your first deposit, 50% of that first deposit will be credited to your account as a bonus that can be used as additional collateral to open positions. Code: CRYPTONEWS50This promotion is available for a month after activation. Click the link below:PrimeXBT x CRYPTONEWS50

In this episode of Energy Newsbeat – Conversations in Energy, Stuart Turley speaks with Jon Brewton, CEO of Data Squared, about their groundbreaking work in AI and data management. Jon explains how their patented system eliminates AI hallucinations, making AI more trustworthy and transparent for industries like defense, energy, and engineering. They discuss the challenges of scaling AI, its applications in energy grid management, and the value of integrating various data types to optimize decision-making. This conversation sheds light on how AI can drive real-world solutions with reliability and explainability.This is huge, with new patents in hand, Data2 Squared is helping add accountability to AI. I have been learning a great deal about AI through the podcast series on AI and Data Centers, which is significant. The U.S. government and energy sectors will find Jon's company and his resources critical. For the U.S. to achieve energy dominance, it must also be AI Dominant. I applaud the accountability that Jon's team has successfully implemented. Check out https://data2.ai/Also connect with Jon on his LinkedIn here: https://www.linkedin.com/in/jon-brewton-datasquared/Thank you Jon, for stopping by the podcast, and your leading the charge in AI security is critical for the United States - Stu Highlights of the Podcast 00:00 - Intro00:39 – What Is Explainable AI?01:11 – The Problem with AI Hallucinations03:15 – AI Systems and Trust Issues06:21 – Data Squared's Solution08:32 – Real-World Applications in Energy10:35 – Filtering Out Inaccurate AI Outputs12:28 – Beyond Analytics: Building Trustworthy AI16:12 – The Echo Chamber of AI Training Data17:57 – Who Can Benefit from Data Squared's Technology?18:49 – Opportunities in the Utility Sector20:08 – Achieving a Patent in AI Technology21:06 – The Impact on Defense and Engineering23:25 – The Role of Military Experience in Innovation26:22 – The Unlikely Team Behind the Innovation28:29 – Looking Ahead: Future Applications in Energy29:01 – Closing RemarksFor the full transcript, please head over to https://theenergynewsbeat.substack.com/

In this episode of AI Basics, Jason sits down with Yoav Shoham — Stanford professor emeritus and co-founder of AI21 Labs, creators of Jurassic-2, Wordtune, and the new orchestration system Maestro.They unpack:Why enterprise AI struggles with reliabilityWhat orchestration really means (and why LLMs alone aren't enough)The pitfalls of “agent-washing”Small vs large models, agent-to-agent protocols, and where real opportunities lieThis one is for founders building with AI — if you're navigating hallucinations, chasing automation, or exploring multi-agent workflows, this episode is a must.*Timestamps:(0:00) Yoav Shoham joins Jason to discuss AI Basics.(1:05) What AI21 Labs is building — from Jurassic-2 to Maestro(5:49) The overuse and confusion of the seductive term “agent”(8:22) Small models vs large models: what's best for enterprise?(10:53) The verticalization of AI: legal, accounting, and beyond(12:17) The challenge of agent-to-agent communication and shared semantics(17:08) What's overhyped vs underhyped in AI — Yoav's advice for founders*Uncover more valuable insights from AI leaders in Google Cloud's 'Future of AI: Perspectives for Startups' report. https://goo.gle/futureofai*Explore FurtherGoogle Cloud's Report: The Future of AIGet insights from 23 leading experts on how startups can leverage AI for real business impact.

We continue with our series about building agentic AI systems from the ground up and for desired accuracy.  In this episode, we explore linear programming and optimization methods that enable reliable decision-making within constraints. Show notes:Linear programming allows us to solve problems with multiple constraints, like finding optimal flights that meet budget requirementsThe Lagrange multiplier method helps find optimal solutions within constraints by reformulating utility functionsCombinatorial optimization handles discrete choices like selecting specific flights rather than continuous variablesDynamic programming techniques break complex problems into manageable subproblems to find solutions efficientlyMixed integer programming combines continuous variables (like budget) with discrete choices (like flights)Neurosymbolic approaches potentially offer conversational interfaces with the reliability of mathematical solversUnlike pattern-matching LLMs, mathematical optimization guarantees solutions that respect user constraintsMake sure you check out Part 1: Mechanism design and Part 2: Utility functions. In the next episode, we'll pull all of the components from these three episodes to demonstrate a complete travel agent AI implementation with code examples and governance considerations.What we're reading:Burn Book - Kara Swisher, March 2025Signal and the Noise - Nate Silver, 2012Leadership in Turbulent Times - Doris Kearns GoodwinWhat did you think? Let us know.Do you have a question or a discussion topic for the AI Fundamentalists? Connect with them to comment on your favorite topics: LinkedIn - Episode summaries, shares of cited articles, and more. YouTube - Was it something that we said? Good. Share your favorite quotes. Visit our page - see past episodes and submit your feedback! It continues to inspire future episodes.

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.     How AI Is Transforming the Physical World | Samsara's Vision for the Future of Operations   In this episode of Eye on AI, Craig Smith sits down with Kiren Sekar, Chief Product Officer at Samsara, to explore how AI, edge computing, and IoT are revolutionizing the world of physical operations - from fleets and factories to farms and field teams.   Samsara has quietly become the digital backbone for thousands of frontline businesses, collecting trillions of data points across vehicles, tools, and teams. Kiren explains how they're building AI-powered systems that don't just collect data, they deliver real-time safety alerts, optimize routes, track fuel efficiency, and even coach drivers automatically.   Whether you work in tech, operations, or AI, this episode shows how AI is finally meeting the real world.   Check our Samsara, AI Build for Physical Operations: https://www.samsara.com/   Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) Preview (02:01) Kiren Sekar's Background and Why Samsara Was Founded (06:38) The Real-World Impact of Samsara's AI Systems (09:04) What Changed After Samsara Went Public (11:09) How Samsara Gives Businesses Visibility Into Operations (13:08) The Hardware and Cellular Network Powering Samsara (14:13) AI to Detect Driving Risks (23:13) Tracking Every Asset: From Cranes to Toolkits (25:20) Why Even Mid-Sized Companies Can Use Samsara Easily (27:25) Regional Dashboards and AI Insights for Executives (29:57) How Samsara Decides Where to Apply AI (32:54) Can AI Read Handwritten Forms? (35:31) The AI Models Samsara Uses (39:21) What Samsara Processes at the Edge vs in the Cloud (43:00) Why Samsara Keeps Its R&D Team Small and Fast (46:35) Why Legacy Industries Are Finally Adopting AI (49:12) What Agentic AI Workflows Look Like at Samsara (54:53) What's Next: AI Voice Assistants for Field Worker  

Hva gjør du som leder når kunstig intelligens utfordrer måten vi tradisjonelt har tenkt investering og vekst? Skal du bygge ny fabrikk – eller satse på et AI-system du ikke helt forstår enda? I denne episoden diskuterer vi hvordan ledere og styrer kan ta gode beslutninger i møtet mellom strategi, teknologi og risiko. Våre gjester Nils Vold fra Verdane og Frithjof Lund fra McKinsey gir deg innsikt i de reelle dilemmaene ledere står overfor akkurat nå – og hva som kreves for å prioritere riktig i en ny tid. Hosted on Acast. See acast.com/privacy for more information.

In California, the state Senate has voted in favor of a so-called AI Bill of Rights, which would establish new guardrails around automated decision systems. To learn more about them, Marketplace's Nova Safo spoke with Kate Brennan, associate director of the think tank AI Now Institute.

In California, the state Senate has voted in favor of a so-called AI Bill of Rights, which would establish new guardrails around automated decision systems. To learn more about them, Marketplace's Nova Safo spoke with Kate Brennan, associate director of the think tank AI Now Institute.

In this episode of Hashtag Trending, host Jim Love delves into multiple pressing issues surrounding AI and its impact on the digital landscape. The episode covers the significant decrease in click-through rates to original content due to AI summaries and Google's dominance in search. It also highlights Apple's potential move to acquire AI search startup Perplexity amidst antitrust pressures. Furthermore, an Anthropic study reveals that major AI models can lie, blackmail, and potentially harm humans when facing shutdowns, raising ethical and safety concerns around the advancement and integration of AI systems. 00:00 Introduction: AI's Impact on Publishers and Society 00:24 The Internet's Economic Collapse 03:13 Apple's Potential Acquisition of Perplexity 06:09 Anthropic Study: AI Models and Self-Preservation 09:40 Emergent Behavior in AI Systems 13:00 Conclusion and Call to Action

In this thought-provoking episode of Project Synapse, host Jim and his friends Marcel Gagne and John Pinard delve into the complexities of artificial intelligence, especially in the context of cybersecurity. The discussion kicks off by revisiting a blog post by Sam Altman about reaching a 'Gentle Singularity' in AI development, where the progress towards artificial superintelligence seems inevitable. They explore the idea of AI surpassing human intelligence and the implications of machines learning to write their own code. Throughout their engaging conversation, they emphasize the need to integrate security into AI systems from the start, rather than as an afterthought, citing recent vulnerabilities like Echo Leak and Microsoft Copilot's Zero Click vulnerability. Derailing into stories from the past and pondering philosophical questions, they wrap up by urging for a balanced approach where speed and thoughtful planning coexist, and to prioritize human welfare in technological advancements. This episode serves as a captivating blend of storytelling, technical insights, and ethical debates. 00:00 Introduction to Project Synapse 00:38 AI Vulnerabilities and Cybersecurity Concerns 02:22 The Gentle Singularity and AI Evolution 04:54 Human and AI Intelligence: A Comparison 07:05 AI Hallucinations and Emotional Intelligence 12:10 The Future of AI and Its Limitations 27:53 Security Flaws in AI Systems 30:20 The Need for Robust AI Security 32:22 The Ubiquity of AI in Modern Society 32:49 Understanding Neural Networks and Model Security 34:11 Challenges in AI Security and Human Behavior 36:45 The Evolution of Steganography and Prompt Injection 39:28 AI in Automation and Manufacturing 40:49 Crime as a Business and Security Implications 42:49 Balancing Speed and Security in AI Development 53:08 Corporate Responsibility and Ethical Considerations 57:31 The Future of AI and Human Values

In this episode of Campus Technology Insider Podcast Shorts, host Rhea Kelly discusses the latest stories in education technology. Highlights include the launch of LawZero by Yoshua Bengio to develop transparent 'scientist AI' systems, a new Cloud Security Alliance guide on red teaming for agentic AI, and OpenAI's report on the malicious use of AI in cybercrime. For more detailed coverage, visit campustechnology.com. 00:00 Introduction and Host Welcome 00:15 LawZero: Ensuring Safe AI Development 00:52 Cloud Security Alliance's New Guide 01:27 OpenAI Report on AI in Cybercrime 02:06 Conclusion and Further Resources Source links: New Nonprofit to Work Toward Safer, Truthful AI Cloud Security Alliance Offers Playbook for Red Teaming Agentic AI Systems OpenAI Report Identifies Malicious Use of AI in Cloud-Based Cyber Threats Campus Technology Insider Podcast Shorts are curated by humans and narrated by AI.

Today's guest is Annabel Romero, Specialist Leader focusing on AI for Drug Discovery at Deloitte and a structural biologist by training. Deloitte is a global consulting firm known for its work in digital transformation, data strategy, and AI adoption across regulated industries. Annabel joins Emerj Editorial Director Matthew DeMello to explore how AI systems are being designed to think more like scientists—particularly in protein modeling and life sciences research. She shares how tools like AlphaFold and large language models are accelerating drug targeting, predicting allergen cross-reactivity, and translating learnings from human biology to agricultural innovation. This episode is sponsored by Deloitte. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business' podcast!

Beyond The Claim Podcast #014 – Featuring Jeremy Kloter Unlock the Systems Behind 200+ Rental Doors & Real Estate Growth In this episode of Beyond The Claim, Vince Perri sits down with Jeremy Kloter, Marine Corps veteran and Founder of Out Fast Property Management, to break down how he scaled to over 200 rental units using smart systems, AI tools, and leadership strategies. Jeremy shares the secrets behind: - Building a real estate business with operational excellence - Integrating AI and automation to manage properties efficiently - How his military background shaped his leadership style - Strategic use of tech like Notion, monday.com, and SOPs - Why property management is the untapped cash flow machine in 2025 - What every investor needs to know about taxes, insurance, and ROI today

In this interview, as part of our ongoing series examining how leaders across functions are managing and incorporating AI, Heidrick & Struggles' Julian Ha spoke to Miriam Vogel the president and CEO of EqualAI, which is a nonprofit organization created to promote artificial intelligence governance.Miriam, who has extensive experience working with C-suites and boards and the government to help them establish best practices for legal regulatory compliance, as well as operationalizing those best practices, discusses the ways that leaders of all kinds have become much more AI literate with respect to potential harms and litigation risks, and how they are mitigating liability as well as avoiding those harm to companies, individuals, and communities. She also shares what she's excited about when it comes to the future of AI, what it means to her to lead in an AI-enabled world, and how she believes that leaders must balance guardrails and innovation, so that their organizations remain competitive, ensure there's trust in AI systems, and that those AI systems deserve our trust. Hosted on Acast. See acast.com/privacy for more information.

In this episode of The Elusive Consumer, host Ellie Tehrani sits down with Ilyas Iyoob, Head of Global Research at Kyndryl, to explore how enterprise leaders can master the delicate balance between AI automation and human expertise in mission-critical environments. From implementing AI in the world's largest IT services infrastructure to understanding when automation enhances versus undermines customer experience, Ilyas shares insights on strategic AI deployment that treats technology as a "rookie with speed and precision" rather than a replacement for human judgment, revealing how organizations can leverage AI's capabilities while preserving the irreplaceable value of human insight and domain expertise.

Raza Habib, the CEO of LLM Eval platform Humanloop, talks to us about how to make your AI products more accurate and reliable by shortening the feedback loop of your evals. Quickly iterating on prompts and testing what works, along with some of his favorite Dario from Anthropic AI Quotes.// BioRaza is the CEO and Co-founder at Humanloop. He has a PhD in Machine Learning from UCL, was the founding engineer of Monolith AI, and has built speech systems at Google. For the last 4 years, he has led Humanloop and supported leading technology companies such as Duolingo, Vanta, and Gusto to build products with large language models. Raza was featured in the Forbes 30 Under 30 technology list in 2022, and Sifted recently named him one of the most influential Gen AI founders in Europe.// Related LinksWebsites: https://humanloop.com~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreMLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Raza on LinkedIn: /humanloop-razaTimestamps:[00:00] Cracking Open System Failures and How We Fix Them[05:44] LLMs in the Wild — First Steps and Growing Pains[08:28] Building the Backbone of Tracing and Observability[13:02] Tuning the Dials for Peak Model Performance[13:51] From Growing Pains to Glowing Gains in AI Systems[17:26] Where Prompts Meet Psychology and Code[22:40] Why Data Experts Deserve a Seat at the Table[24:59] Humanloop and the Art of Configuration Taming[28:23] What Actually Matters in Customer-Facing AI[33:43] Starting Fresh with Private Models That Deliver[34:58] How LLM Agents Are Changing the Way We Talk[39:23] The Secret Lives of Prompts Inside Frameworks[42:58] Streaming Showdowns — Creativity vs. Convenience[46:26] Meet Our Auto-Tuning AI Prototype[49:25] Building the Blueprint for Smarter AI[51:24] Feedback Isn't Optional — It's Everything

Join Simtheory: https://simtheory.aiGet an AI workspace for your team: https://simtheory.ai/workspace/team/---CHAPTERS:00:00 - Will Chris Lose His Bet?04:48 - Google's 2.5 Gemini Preview Update12:44 - Future AI Systems Discussion: Skills, MCPs & A2A47:02 - Will AI Systems become walled gardens?55:13 - Do Organizations That Own Data Build MCPs & Agents? Is This The New SaaS?1:17:45 - Can we improve RAG with tool calling and stop hallucinations?---Thanks for listening. If you like chatting about AI consider joining our active Discord community: https://thisdayinai.com.

Warners Bros Discovery goes back to HBO Max, Sony warns of PS5 price hikes, Google replaces “I'm feeling lucky” with AI mode. MP3 Please SUBSCRIBE HERE for free or get DTNS Live ad-free. A special thanks to all our supporters–without you, none of this would be possible. If you enjoy what you see you canContinue reading "DeepMind Unveils AI System AlphaEvolve – DTH"

What is “self-healing AI?” How do prediction and personalization deliver a superior ROI and enhanced user experience? In this episode, we are joined by Shirish Nimgaonkar to dive into this intriguing and revolutionary topic… Shirish is an entrepreneur, advisor, and investor who focuses his skills on software and AI. He is currently the Founder and CEO of eBliss, a revolutionary AI-driven autonomous end-user computing platform dedicated to streamlining the digital workplace – boosting operational performance, anticipating and resolving IT issues, and elevating both productivity and user satisfaction. Hit play to find out: How businesses can reduce operational costs using personalized AI. The problems that exist within different categories of devices. The ways that predictive analytics can improve productivity.  Industries that benefit from AI solutions. Shirish is a seasoned tech leader who has led and scaled high-growth software companies. He has held leadership roles at several PE and VC-backed tech firms and previously founded and led the South Asia group at a global investment bank, where he oversaw over 30 client acquisitions. Currently, he serves as an Entrepreneur in Residence at Harvard Business School and advises multiple startups. Shirish holds degrees from IIT Bombay, Stanford, and Harvard Business School. You can find out more about Shirish and his work here! Episode also available on Apple Podcasts: https://apple.co/30PvU9C

Can AI fully diagnose SEO traffic drops? Sam Torres from Gray Dot Co examines the limitations of AI in technical SEO diagnostics. She explains why AI can identify traffic declines but struggles to pinpoint fundamental issues, emphasizing that most SEO problems stem from multiple factors rather than single causes. Torres highlights the importance of human experience in comprehensive troubleshooting and avoiding the "one solution" trap that both AI and junior SEOs often fall into. Show NotesConnect With: Sam Torres: Website // LinkedInThe Voices of Search Podcast: Email // LinkedIn // TwitterBenjamin Shapiro: Website // LinkedIn // TwitterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of Zero to CEO, I speak with Harvard serial founder Shirish Nimgaonkar about how his company, eBlissAI, is leading a new era of agentic AI through self-healing, autonomous systems. Shirish explains why today's enterprise IT systems are falling short and how eBlissAI's platform is transforming endpoint management by combining real-time analytics, predictive insights, and intelligent automation. We discuss how businesses can drastically reduce operational costs, improve user productivity, and gain a superior ROI by adopting AI that not only reacts but predicts and personalizes. With enterprise tech at a tipping point, this episode explores why now is the critical moment to embrace truly autonomous solutions.

Hamel Husain is the founder of Parlance Labs. He discusses how successful AI implementation requires fundamental data science skills often overlooked in current educational resources that focus too heavily on tools and frameworks. Subscribe to the Gradient Flow Newsletter