Podcasts about implementing ai

Most real estate wholesaling business owners struggle to scale beyond their first year, but the right systems and team can change everything. David sits down with Kyle Eisenbarger and Joe Ientile from Sunflower Home Buyers, two entrepreneurs who scaled to 181 deals last year and are looking to continue expanding rapidly. They discuss their direct mail marketing strategy, the critical hiring mistakes that taught them valuable lessons, and their ambitious 2027 growth plans including in-house construction crews. KEY TALKING POINTS: 0:00 - Intro 0:19 - An Overview Of Kyle and Joe's Business 1:12 - Pivoting From Wholesale to Flips 3:26 - How They Got Started 4:11 - Deals That Kicked Their Teeth In 6:20 - Hiring Mistakes & Bringing In Coaches 8:10 - Doing 100 Deals in Year Two 10:29 - Their Direct Mail Strategy 12:19 - Marketing Budget & Channels 13:49 - 2027 Growth & Hiring Plans 15:42 - In-House Construction Crews 17:28 - Differentiating From Competitors 19:14 - Their Review Collection Strategy 20:32 - Implementing AI in the Business 25:11 - Biggest Challenge Right Now 26:14 - Overcoming Fear of AI 29:05 - Where to Find Them 29:36 - Outro LINKS: Facebook: Kyle Eisenbarger https://www.facebook.com/kyle.eisenbarger   Facebook: Joe Ientile https://www.facebook.com/joe.ientile   Website: Sunflower Home Buyers https://www.sunflowerhomebuyers.com/   Instagram: David Lecko https://www.instagram.com/dlecko   Website: DealMachine https://www.dealmachine.com/pod   Instagram: Ryan Haywood https://www.instagram.com/heritage_home_investments   Website: Heritage Home Investments https://www.heritagehomeinvestments.com/

How are beauty and wellness business leaders actually using AI today?  That was the question posed to three longtime industry executives on stage during Glossy's annual E-Commerce Summit in Miami Beach earlier this month — and the answers may surprise you.  For example, Jenna Manula Linares, vp of digital marketing and TikTok Shop at Tarte Cosmetics, has recently added 15-minute team check-ins at the end of each weekly meeting that require staffers to share how they used AI that week and whether or not it was successful.  “We're creating a culture of experimentation,” she said. “So, what I challenge my teams to do each week is to use AI in a new or different way.” The team then tracks these challenges and results using Tarte's internal AI program.  Meanwhile, David Baker, chief revenue officer of the skin-care brand Beekman 1802, has found success in identifying early AI adopters within the brand and empowering them to learn new skills and own tentpole projects. “First and foremost, it's finding the people who have an interest in it, and giving them the room and space to play,” he said.  Baker is teaching his team to think of AI as a colleague that works while the rest of the team is off the clock. “Finding and sourcing creators gets really hard, so we've built an agentic staffer. Her name is Zoe, and Zoe is designed to source [creators] and draft personalized outreach, so that we can find people who fit our ethos and fit our brand voice really, really well at scale, while we sleep,” he said.  “AI has permeated every team and workflow we have at Tarte,” Linares said. “I'm constantly telling my team, if it takes you longer than 15 minutes to do something, there's a faster way, and you should learn and try to figure it out via AI.” Then there is Ulta Beauty, which rolled out one of the largest AI partnerships within beauty retail last month, with Google Gemini. The team has spent the past few weeks learning how its consumers actually use the new AI-powered features, which include an on-site and in-app chatbot.  “We continue to find new data sets that we need to put into [the chatbot's knowledge base, like] store locations, store hours — a lot of those things where customers are just asking generic questions,” said Josh Friedman, svp of digital and e-commerce at Ulta Beauty. “They're asking lots of questions about the brand, and we're seeing some really good use cases with our customer care agent, as well.”  In today's episode of the Glossy Beauty Podcast, host Lexy Lebsack takes listeners live on stage with Ulta Beauty's Josh Friedman, Tarte's Jenna Manula Linares and Beekman1802's David Baker to learn about the actual impact of AI today. 

Implementing AI isn't about systems or workflows alone. It's a human transformation that touches every role, skill, and interaction. This is why HR needs to lead the change. In this episode, Karina Young is joined by Dr. Jeff Smith, author and COO at 15Five, to discuss how HR can guide organizations through this shift. Jeff shares strategies for managing change with empathy, upskilling employees, and creating systems where humans and AI complement each other. They also discuss the importance of trust, communication, and engagement in making AI adoption successful. What you'll learn: The importance of HR leading AI transformation, not just IT or executives How to address fears and resistance around AI  Key skills for employees and managers to thrive in an AI-powered workplace Join us as we discuss: (00:00) Meet HR Superstar: Jeff Smith (07:02) AI as a rethinking of work, not a productivity tool (12:47) Managing FOBO and resistance (15:11) Long-term planning for AI adoption (25:41) The AI maturity framework (30:33) The mindset shift that HR needs right now Resources: For the entire interview, subscribe to HR Superstars on Spotify, Apple Podcasts, or YouTube, or tune in on our website. Original podcast track produced by Entheo. Listening on a desktop & can't see the links? Just search for HR Superstars in your favorite podcast player. Hear Karina's thoughts on elevating your HR career by following her on LinkedIn: https://www.linkedin.com/in/karinayoung11/ Register to 15Five Next: https://www.15five.com/15five-next-2026-registration Download 15Five's HR Outcomes Playbook: https://www.15five.com/ebook/hr-outcomes-playbook-unlocking-the-true-business-value-of-hr/?utm_source=podcast&utm_medium=podcast&utm_campaign=Q2_2023_Podcast_CTAs&utm_content=HR For more on maximizing employee performance, engagement, and retention, click here: https://www.15five.com/demo?utm_source=podcast&utm_medium=podcast&utm_campaign=Q2-Podcast-Ads&utm_content=Schedule-a-demo Jeff Smith's LinkedIn: https://www.linkedin.com/in/jeffsmithphd/

Implementing AI is different than other types of software. Globalization Partners (G-P) Head of HR Laura Maffucci shares her lessons from navigating an AI mandate, handling employee fear, and building a cross-functional AI governance council. Listen to hear how we transition from informal employee experimentation to structured, agentic workflows that enhance productivity without removing the human in the loop. Key takeaways from the discussion: Why bolting generic AI tools onto existing, broken workflows fails to deliver much results How an internal cross-functional AI council enables employee use The difference between executive perceptions and employee realities Enabling the desired behaviour Being real 00:00 Lessons from early enterprise AI implementation 01:13 Scope of AI deployment at GP 02:17 Managing employee fear of job replacement 04:31 Moving from unstructured to structured automation and the change implications 06:00 The differing implementation needs: deep versus broad 08:41 The failure of bolting on AI 10:43 Purpose-built compliance and agentic data scraping 12:43 Managing shadow AI and workflow fragmentation 13:46 Structuring a corporate AI policy council 15:10 Creating positive energy around governance rules 16:40 Executive delusions vs employee realities 18:37 Why rising quality standards impact efficiency 19:21 The role of HR in change management 20:52 Balancing personal skepticism with strategic adoption 22:05 Finding non-technical AI champions in house 24:22 The power of authenticity over corporate jargon 25:27 Where to connect with Laura and G-P Find Laura Website: https://www.G-P.com/ or https://www.globalization-partners.com LinkedIn: https://www.linkedin.com/in/laura-maffucci/ Find Andrea (me) Website: https://thehrhub.ca/ LinkedIn: https://www.linkedin.com/in/andrea-adams1/

Our guest on this episode of Higher Logic's The Member Engagement Show is Ashleigh Brookshaw, a strategic advisor at Higher Logic who is also a Prosci-certified change manager and agile & traditional project manager. As more associations adopt AI, Ashleigh touches on several topics related to the challenges and opportunities that can bring: How organizations can adopt AI successfully. Why AI is first and foremost a change management challenge, not a tool implementation challenge. What are the key components of AI readiness? Is the quality of your data good enough to get high quality AI outputs? Implementing AI with both members and internal staff in mind. How to decide what AI initiatives to prioritize. The right way to do staff enablement. The skills or mindset shifts that people need the most in AI adoption. Involving members in your AI adoption. The signals of a successful AI implementation?

When even a seasoned healthcare professional can't navigate the system safely, what would the average patient or family do? We connected with Kathryn Biasotti, a nurse leader and patient safety advocate with more than 30 years of experience in healthcare operations, risk management, and quality. Kathryn shares a deeply personal story of loss that exposes how communication breakdowns and documentation gaps can lead to devastating outcomes, even in well intentioned systems. Watch the video version here. Chapter Timestamps 00:00 Preview clip 00:57 Welcome to The Digital Healthcare Experience 01:23 Introduction to Kathryn Biasotti 02:11 A personal story of loss and missed opportunities 02:57 Breakdown in communication and care coordination 04:17 Lack of transparency and delayed interventions 06:41 What would the average family do without medical knowledge 08:07 Structural failures and systemic gaps in care 09:07 What the Patient Safety Structural Measure aims to fix 12:25 Communication failures and the risk of litigation 14:02 Why communication remains the leading cause of safety events 15:27 The role of patient advocacy and leadership accountability 17:06 Building a culture of safety from the top down 18:48 The role of AI in improving patient safety 21:08 Alert fatigue and the human factor in technology 23:56 Implementing AI responsibly in healthcare systems 25:37 The most important takeaway for healthcare leaders   Connect with Kathryn on LinkedIn at https://www.linkedin.com/in/kathryn-biasotti-49680611b/ Find Kathryn's work at https://www.pfps.us #digitalhealth #patientsafety #healthcareinnovation #riskmanagement #healthcareai #patientexperience Subscribe and stay at the forefront of the digital healthcare revolution. Find out why we're the fastest growing digital health channel on YouTube!  The Digital Healthcare Experience is a hub to connect healthcare leaders and tech enthusiasts. Powered by Taylor Healthcare, this podcast is your gateway to the latest trends and breakthroughs in digital health. Learn more about The Digital Healthcare Experience here. Taylor Healthcare empowers healthcare organizations to thrive in the digital world. Our technology streamlines critical workflows such as procedural & surgical informed consent with patented mobile signature capture, ransomware downtime mitigation, patient engagement and more. For more information about Taylor Healthcare, please visit imedhealth.com   The Digital Healthcare Experience Podcast: Powered by Taylor Healthcare Produced by Naomi Schwimmer  Hosted by Chris Civitarese Edited by Eli Banks Music by Nicholas Bach  

Send us Fan MailIn this episode of Embedded Insiders, Ken sits down with Andrea Gallo, CEO of RISC-V International, to discuss the company's upcoming RISC-V Summit in Bologna from June 8 - 11. They also recap this year's embedded world exhibition and conference, highlighting AI at the edge and industrial robotics as the top trends at the show. Next, Rich and Vin are back with another Dev Talk discussing the different definitions of AI, and recent news about Arm becoming a silicon provider.But first, Ken and I are discussing upcoming travel to NI Connect in Fort Worth and Computex in Taipei. For more information, visit embeddedcomputing.com

Description:Want to break into cybersecurity? Learn how Nikhil Agarwal moved from reverse engineering video games to leading AI security teams and automating complex infosec workflows. [bic-00003]In this episode, we explore:How childhood curiosity about software keys and "cheat codes" builds a foundation for red teaming. [bic-00004]The evolution from freelance bug hunting to professional penetration testing. [bic-00004]Nikhil reveals practical AI tools for automating security tasks in the cloud. [bic-XXXX1] [bic-00009]Demystifying AI-powered threat hunting: Practical steps and strategies. [bic-XXXX2] [bic-00009]Implementing AI for cloud security threat detection and automated incident response. [bic-00008]Timestamps: [bic-00004]00:00 - Intro & Countdown00:29 - Welcome Nikhil Agarwal00:52 - Childhood curiosity and reverse engineering games01:45 - Early freelance red teaming and the "pre-bug bounty" eraGuest Bio: [bic-00004]Nikhil Agarwal is a cybersecurity expert specializing in AI security teams and the automation of complex security operations. He leverages a background in red teaming and penetration testing to bridge the gap between hands-on technical skills and modern AI-driven cloud security.Community Link | Subscribe on YouTube [bic-00007]Tags: [bic-00005] [bic-00006]Nikhil Agarwal, AI Security, Red Teaming, Cloud Security Automation, Bug Bounty, AI Threat Hunting, breaking into cybersecurity, cybersecurity career, how to get into cybersecurity, cybersecurity podcast, infosec career, cybersecurity career change, cybersecurity for beginners, cybersecurity career advice, cybersecurity jobs, CISO interview, pivot to cybersecurity, cybersecurity certifications.***Sponsored by CPF Coaching LLC - http://cpf-coaching.comThe Breaking into Cybersecurity: It's a conversation about what they did before, why they pivoted into cyber, what the process was they went through, how they keep up, and advice/tips/tricks along the way.Check out our books:The Cybersecurity Advantage - https://leanpub.com/the-cybersecurity-advantageDevelop Your Cybersecurity Career Path: https://amzn.to/3443AUIHack the Cybersecurity Interview: https://www.amazon.com/Hack-Cybersecurity-Interview-Interviews-Entry-level/dp/1835461298/---About the hosts:Renee Small is the CEO of Cyber Human Capital and author of Magnetic Hiring. https://www.linkedin.com/in/reneebrownsmall/Christophe Foulon is a Cybersecurity Strategist and passionate about customer service and process improvement. https://www.linkedin.com/in/christophefoulon/- Website: https://www.cyberhubpodcast.com/breakingintocybersecurity- Podcast: https://podcasters.spotify.com/pod/show/breaking-into-cybersecuri- YouTube: https://www.youtube.com/c/BreakingIntoCybersecurity- Linkedin: https://www.linkedin.com/company/breaking-into-cybersecurity/

Kyler and Ned are joined by Enrico Teotti, an independent consultant with over 25 years of experience. Enrico has worked with clients on real-world AI implementations, and he’s here talk about what he’s learned, including using AI to query databases, and for debugging and performance analysis. They also touch on the importance of using AI... Read more »

Kyler and Ned are joined by Enrico Teotti, an independent consultant with over 25 years of experience. Enrico has worked with clients on real-world AI implementations, and he’s here talk about what he’s learned, including using AI to query databases, and for debugging and performance analysis. They also touch on the importance of using AI... Read more »

Kyler and Ned are joined by Enrico Teotti, an independent consultant with over 25 years of experience. Enrico has worked with clients on real-world AI implementations, and he’s here talk about what he’s learned, including using AI to query databases, and for debugging and performance analysis. They also touch on the importance of using AI... Read more »

Episode Overview In this episode of The EdTech Podcast, we bring together three educators who have moved beyond using AI—to actively creating with it. From building bespoke tools and secure large language models to designing simple, classroom-ready solutions, this conversation explores what it means to be an educator–creator in an AI-driven world. Chris Loveday shares how his college has developed over 20 AI-powered agents to support both operational efficiency and student experience, including a fully safeguarded internal large language model designed with education-specific guardrails. His work highlights critical themes of digital equity, safeguarding, and the importance of keeping humans firmly in the loop. Aaron Patching brings a practical, classroom-level perspective—demonstrating how teachers can use tools like Canva and low-code platforms to solve everyday challenges. From interactive recall quizzes to real-time navigation tools for parents' evenings, he shows how small, purposeful innovations can have a big impact on workload and engagement. Dan Comber explores how AI can transform static school resources into dynamic, interactive experiences. From chatbot-powered policy access to rethinking how students and parents engage with key information, his work focuses on accessibility, communication, and embedding AI into school culture—not just as a tool, but as part of how systems operate. Across the conversation, a shared message emerges: successful AI integration in education is not about the technology itself, but about solving real problems, building staff confidence, and maintaining a strong ethical and human-centred approach. The episode also tackles key challenges, including staff training, sustainability, data privacy, and the need for clear governance. Whether you're just starting out or already experimenting, this episode offers practical insights, honest reflections, and a powerful reminder—AI in education isn't something happening to us, it's something we can actively shape. Chris Loveday: linkedin.com/in/chris-loveday-5b712622b/  Aaron Patching: https://www.linkedin.com/in/aaron-patching/ Dan Comber: https://www.linkedin.com/in/dan-comber-teacher/  Chapters 00:00 Introduction to AI in Education 02:50 Creating Bespoke AI Solutions 05:48 Student-Centric AI Tools 08:46 Empowering Educators with AI 11:24 Innovative Approaches to Teaching 14:20 Bridging the Gap with AI 14:49 Overcoming Resistance to AI 16:54 Interactive Learning with AI 20:03 The Future of AI in Education 25:51 Building Effective Data Systems in Education 27:02 Exploring AI's Role in Education 29:26 Engaging Staff with AI Technology 31:49 Implementing AI in the Classroom 33:13 Educating Students on AI Literacy 35:31 The Importance of Continuous Training 37:46 Practical Tools for Teachers 41:42 Sustainability and AI in Education 45:36 Advice for Educators Embracing AI 52:22 NEWCHAPTER   Resources   AI and Education Steering Panel - https://aieducation.org Canva - https://www.canva.com Claude AI - https://www.anthropic.com ChatGPT - https://chat.openai.com Google AI Tools - https://ai.google/

I first heard about this guy on the Joe Rogan show. He built a hot business on a simple concept: Companies hire him to embed AI usage and thinking in their businesses. Now he's creating his own agent software (a customized version of NeoClaw) that he's installing in companies. Best of all: Jon Cheney says what he built at GenAIPI can be built by people listening to this episode. We break down how. Jon Cheney is the founder of GenAIPI (General AI Proficiency Institute), an AI consulting and enablement company that helps businesses adopt AI through training, strategy, and implementation. He previously built and exited a venture-backed startup, then used AI tools to launch GenAIPI from scratch with just $400. Today, the company is at roughly $4.5M ARR and is evolving from fractional AI consulting into software-assisted AI infrastructure for clients. Sponsored byZapier More interviews -> https://mixergy.com/moreint Rate this interview -> https://mixergy.com/rateint

Summary In this insightful interview, Wendy Vestevich shares her expertise on AI adoption, change management, and the operational and reputational impacts of technology rollouts. Discover practical strategies for fostering human-centric AI integration and overcoming adoption challenges across organizational levels. Keywords AI adoption, change management, operational impact, organizational change, human-centric AI, technology rollout, frontline workers, leadership, AI challenges, digital transformation Key topics Operational consequences of AI adoption failure Reputational impact of technology rollouts Change management strategies for AI Frontline worker engagement and incentives Measuring AI adoption success Chapters 00:00 Introduction to AI Adoption Challenges 02:49 The Impact of Reputation on Technology Rollouts 05:44 Understanding User Perspectives on AI Technology 09:03 Differentiating Adoption Metrics for Leadership and Frontline Workers 11:51 Navigating Job Security Concerns in AI Adoption 14:54 Measuring AI Adoption Success Across Different Roles 17:58 The Shift in Roles and Responsibilities with AI 20:54 Coping with Change: The Human Element in AI Integration 24:09 Reframing AI as a Tool for Empowerment 27:05 The Future of Work in an AI-Driven World 28:31 Rethinking Outcomes in the Age of AI 29:49 The Role of Humans: From Creators to Curators 31:24 AI's Impact on Frontline Workers 34:43 Challenges in Implementing AI in Field Service 38:21 User Experience in the Era of AI 40:57 The Human Element in Customer Service 46:32 Advice for Successful AI Adoption   Wendy Vestevich LinkedIn - https://www.linkedin.com/in/wendyvestevich/  

.entry-img img{ display:none !important; } .single .hentry .entry-img{ display:none !important; } https://open.spotify.com/episode/29EE2Ec32RWQKNVvVj2U8d In this episode of The GrowCFO Show, host Kevin Appleby, together with Michael Pytel, Technology Leader & Director at VASS, underscores why AI is now a board-level issue for finance leaders: decisions made today about platforms, data, and governance will shape an organization's risk profile and competitive position for years to come. They frame AI not as a shiny add‑on but as an infrastructure-and-controls question that sits squarely in the CFO's remit: data sovereignty, privacy, security, and ROI. Michael draws on his deep background in ERP and large‑enterprise technology to give CFOs a practical roadmap for implementing AI safely and effectively. He explains how vendors such as SAP are approaching “sovereign AI” to keep sensitive financial data within the organization, why mid‑market businesses should consider anchoring around the Microsoft ecosystem, and how to structure permissions so AI behaves like a fully controlled team member rather than a black box. The discussion closes with forward‑looking guidance on avoiding vendor lock‑in, upgrading ERP for an API‑ready, AI‑enabled future, and identifying quick wins that prove value without compromising security. Key topics covered: Why AI implementation is now a core responsibility of the CFO, not just IT, with direct implications for risk, compliance, and competitive advantage. How data sovereignty, privacy, and “sovereign AI” approaches (as seen in SAP) allow organizations to choose where AI runs and how data is protected. Practical options for smaller and mid‑market companies without large IT teams, including leveraging the Microsoft ecosystem for secure and scalable AI. The importance of treating AI like a human team member with defined permissions, segregation of duties, and strong policy‑driven prompt design. Why CFOs must ensure ERP and core finance systems are API‑ready and AI‑enabled to remain competitive over the next planning cycles. Strategies to avoid platform lock‑in while still moving quickly, focusing on quick wins and flexible commercial contracts with AI vendors. Links Michael Pytel on LinkedIn Kevin Appleby on LinkedIn GrowCFO Mentoring Timestamps:  0:00:01 – Kevin introduces episode 280 and guest Michael Pytel, outlining his enterprise technology and ERP background and why his perspective matters for CFOs considering AI. 0:02:27 – Discussion of SAP's cautious, data‑sovereign approach to AI, allowing customers to control where AI runs and how sensitive financial data is protected.  0:08:27 – Exploration of AI options for smaller organizations without full IT departments, including aligning with Microsoft to obtain secure, affordable AI capabilities. 0:12:05 – Deep dive into data security, permissions, and prompt engineering, positioning AI as a controlled “team member” governed by policies and segregation of duties. 0:26:25 – Analysis of how AI will reshape finance roles, the need to modernize ERP for AI integration, and what to look for in vendor roadmaps. 0:33:06 – Michael's closing advice for CFOs in 2026: prioritize secure, in‑house AI platforms, avoid lock‑in with flexible contracts, and focus on quick, demonstrable wins. Find out more about GrowCFO If you enjoyed this podcast, you can subscribe to the GrowCFO Show with your favorite podcast app. The GrowCFO show is listed in the Apple podcast directory, Spotify and many others. Why not subscribe there today? That way, you never miss an episode. GrowCFO is a great place to extend your professional network. Join GrowCFO as a free member today and participate in our regular networking events and webinars. Premium members can also access our extensive training center and CFO Digital Toolkit. You can enroll in our flagship Future CFO or Finance Leader programs here. You can find out more and join today at growcfo.net

In this episode, Dr. Karen Litzy hosts Dr. Sherry Zhang, an expert in obesity genomics, personalized nutrition, and longevity science. They explore how genetics and AI are transforming healthspan strategies, empowering practitioners to deliver more precise, actionable advice to their patients. Whether you're a healthcare provider or health-conscious individual, discover how to leverage DNA insights and technology to enhance longevity and quality of life. In this episode: ·       Dr. Sherry Zhang shares her journey from classical musician in China to leading health tech innovator focused on longevity. ·       The limitations of one-size-fits-all nutrition and how genetics reveal why personalized approaches are essential. ·       How genetic insights help combat health misconceptions and promote empowerment rather than excuses. ·       The role of AI, multi-omics, and federated data models in revolutionizing health monitoring and prevention. ·       Practical ways clinicians and practice owners can incorporate genetic and digital health data into patient care today. ·       Using insights like sleep quality, grip strength, and heart rate variability as early markers of health decline. ·       The importance of a proactive, trajectory-based view of health spanning decades, not just episodes of illness. ·       Strategies to build trust in privacy-preserving AI tools and navigate data regulation challenges. ·       The future of healthspan extension: living vibrantly into your 120s and beyond. Timestamps:  00:00 – Welcome and Dr. Sherry Zhang's transition from musician to health tech innovator 01:19 – The limitations of traditional nutrition models revealed through genomics 01:51 – Why one-size-fits-all doesn't work—genetic variations in weight management 02:44 – How genomics can correct misconceptions and empower health choices 04:09 – The importance of genetic pride and understanding evolution's role in our health 05:16 – Avoiding genetic excuses: personal responsibility in health behavior 06:00 – Building personalized nutrition profiles with GenoPallet 08:07 – How genetic insights influence patient motivation and adherence 10:01 – The power of identity and self-perception in health behavior change 11:08 – Impact of personalized data on engagement, especially in metabolic health 12:03 – How to interpret sensitivity to substances like caffeine and alcohol 13:24 – The significance of metabolizer status—fast vs. slow—on lifestyle choices 14:32 – Defining health span practically: years lived in good health, not just disease-free 15:12 – Monitoring long-term health trajectories vs. snapshots 16:10 – The shift from reactive to proactive healthcare practices 17:10 – Integrating multi-layered omics and continuous data streams for longevity 18:22 – The role of resilience and capacity in health monitoring 20:22 – Early biomarkers for health decline and how wearable tech can help 21:51 – Implementing AI in practice: opportunities and challenges for non-data scientists 23:28 – Privacy and security: federated data models safeguarding personal health info 24:41 – The future of AI in personalized prevention and health management 28:39 – Envisioning healthcare in 20 years: living vibrantly into your 120s 30:40 – Sherry's advice for her younger self—cultural learning and lifelong growth 37:04 – Connecting with Dr. Sherry Zhang and accessing her resources   Resources & Links: ·       Yisharijang.com – Dr. Zhang's official website ·       The Founder Effect (Book) – her memoir exploring her journey and scientific insights ·       Genopallet – Personalized nutrition based on DNA ·       Buck Institute for Research on Aging – Leading longevity science research ·       Houseband Horizons – AI-powered health management platform ·       Federated Learning – Privacy-preserving AI technology Connect with Dr. Sherry Zhang: ·       LinkedIn ·       Substack ·       Instagram ·       X   More About Dr. Zhang: Dr. Yi Sherry Zhang is an obesity genomics scientist, health tech entrepreneur, and leader in personalized nutrition. She is the founder of GenoPalate, a U.S.-based nutrigenomics company that uses DNA insights to help individuals make more informed, personalized food choices. With nearly two decades of experience bridging science and real-world health applications, she currently serves as Executive Director of External Strategy & Partnerships at the Buck Institute's Price Lab, where she focuses on advancing data-driven approaches to healthspan and longevity. Dr. Zhang is also the author of the Amazon bestseller The Founder Effect and a frequent speaker at major industry conferences including HLTH and the Precision Medicine World Conference. Jane Sponsorship Information: Book a one-on-one demo here Mention the code LITZY1MO for a free month Follow Dr. Karen Litzy on Social Media: Karen's Instagram Karen's LinkedIn Subscribe to Healthy, Wealthy & Smart: YouTube Website Apple Podcast Spotify SoundCloud Stitcher iHeart Radio

Dr. Monty Pal and Dr. Arturo Loaiza-Bonilla discuss the institutional risks in the use of artificial intelligence (AI) in clinical practice and how overreliance on AI could erode essential skills. They also highlight practical approaches, including routine "AI-off" drills, to help oncologists retain their decision-making agility. LINK TO FULL TRANSCRIPT

March 25, 2026 In this week's NARPM podcast episode, host Pete Neubig talks with Inaas Arabi, Chief Operating Officer at Block & Associates Realty,, about a failed AI implementation attempt and what he learned. Be a wise man and learn from others' mistakes. Inaas outlines the steps you need to take for a successful AI implementation.

Are finance teams implementing AI the wrong way? In episode #359, Ben Murray argues that many CFOs and finance leaders are approaching AI backward—focusing too much on prompts and quick wins rather than building the foundational data infrastructure required for meaningful, repeatable insights. Drawing from recent AI webinars and his experience building softwaremetrics.ai, Ben explains why SaaS metrics, retention, and cohort analysis should not rely on AI. Instead, these should be computed through structured, deterministic systems first—then enhanced with AI for deeper analysis and pattern recognition. Resources Mentioned My new metrics engine: https://softwaremetrics.ai/ My SaaSpocalypse post: https://www.thesaascfo.com/the-saaspocalypse-ai-agents-vibe-coding-and-the-changing-economics-of-saas/ What You'll Learn Why prompt-driven AI workflows are not scalable in finance The difference between deterministic systems and AI-driven analysis Why you don't need AI to calculate core SaaS metrics like retention or CAC payback The importance of structured data and clean data pipelines How AI should be layered on top of computed financial data—not raw inputs Why context windows and token usage matter when working with large datasets How AI can uncover insights (like expansion opportunities) that FP&A teams may miss Why It Matters Prompt-based workflows create inconsistency and lack of auditability Without structured data, AI outputs are unreliable and not repeatable Finance teams risk “prompt fatigue” without building scalable systems Deterministic calculations ensure accuracy for critical SaaS metrics and reporting AI delivers the most value when used for analysis—not basic computation Efficient data handling reduces token costs and improves performance

You're being told to use AI. But which tool you actually need to do your best work?Leaders and change practitioners everywhere feel the same pressures right now — more meetings, more information, more mandates to adopt AI — with less time to think and less clarity about where to start. And most of the advice begins in the wrong place: with the tool.In this episode of Chain of Learning, I talk with Barry O'Reilly, bestselling author of Unlearn and Lean Enterprise, and author of the new book Artificial Organizations, about why the real opportunity with AI isn't automation. It's better judgment.Barry shares examples from his work with Fortune 500 executives who are successfully pairing human instinct with machine insight — not by adopting every new tool, but by understanding how they work, where judgment matters most, and what needs to be unlearned along the way. It's about letting go of the belief that your expertise is your competitive advantage, and starting to see AI not as a replacement, but as a thinking partner that can sharpen your clarity, your presence, and your preparation.In this episode, you'll learn:Why starting with the tool is the wrong place to start — and what to do insteadHow to identify your natural traits and highest-leverage tasks as the foundation for working with AIThe unlearning required to shift from relying on instinct alone to combining human judgment with machine insightHow successful leaders are using AI to pressure-test ideas and show up more prepared and presentWhy the skills that make you more effective with AI are the same skills that make you more influential with peopleWhere does judgment matter most in your role right now — and what might you need to unlearn to create space for a better way of working?ABOUT MY GUEST: Barry O'Reilly is the bestselling author of Unlearn and co-author of Lean Enterprise. He hosts the Unlearn Podcast and is co-founder of Nobody Studios, an AI-driven venture studio. His newest book, Artificial Organizations, is a practical guide for leaders ready to combine human and machine intelligence to make better decisions faster. Barry O'Reilly is also giving away a copy of Artificial Organizations to THREE lucky winners!Artificial Organizations explores how leaders can combine human judgment with AI to make better decisions in an increasingly complex world. Instead of focusing on AI tools, the book shows how organizations must redesign how leaders think, work, and make decisions so technology enhances clarity rather than amplifies confusion. It presents a practical leadership system for using AI as a thinking partner to improve judgment, reduce decision overload, and lead more effectively.Register now to enter the giveaway!IMPORTANT LINKS:Full episode show notes with links to other podcast episodes and resources: ChainOfLearning.com/69 Check out my website for resources and ways to work with me KBJAnderson.comConnect with Barry O'Reilly: linkedin.com/in/barryoreilly Follow me on LinkedIn: linkedin.com/in/kbjandersonCheck out Barry O'Reilly's book, Artificial Organizations: artificialorganizations.com Subscribe to my newsletter: kbjanderson.com/newsletter Learn more about my coaching, trusted advisor partnerships, and leadership learning experiences: organizations@kbjanderson.com RELATED LINKS:Unlearn Podcast | Intentional Leadership with Katie AndersonEpisode 59 | Get Better at Getting Better: Leveraging AI to Elevate Human Learning with Nathen HarveyTIMESTAMPS FOR THIS EPISODE:02:28 Where to start on adopting AI05:04 Importance of understanding natural traits and strengths before looking into AI tools07:12 Defining the problem first before looking for the tool to close the gap08:17 Why some may see AI as a deflection tool09:02 How to use AI for synthesizing data rather than rudimentary tasks12:28 Why judgment is the leadership advantage and leveraging AI to make better judgment12:38 Using decision velocity to improve decision making13:35 Decision advantage in synthesizing data to make a decision14:35 The difference between AI and human strengths in decision making16:26 Unlearning how you work to make progress19:32 Why human thinking plus machine equals a better outcome20:28 Examples of how to use AI to be the best business and thinking partner24:46 Importance of asking the right questions when brainstorming with AI26:06 The limitations of AI and knowing how to use it to your advantage30:18 How technology can help us be make a bigger impact33:12 The loss of psychological safety when implementing AI and unlearning this fear35:35 Better results when teams collaborate with AI vs. doing it independently36:06 Shifting from control based learning mindset to influence based learning mindset for continuous improvement37:54 Implementing AI to be the most effective in your organization40:34 How to start building an AI stack knowing your natural traits, one or two tasks, and then experimenting with an AI tool42:54 The skills that make us more effective with machines to increase influence43:16 Questions for reflection on how to implement AI in your organization Enter to win a copy of Barry's book here: https://kbjanderson.com/giveaways/book-giveaway-artificial-organizations

Are your employees telling you they're overwhelmed — but the work still looks like it's getting done? Or are you throwing people into the deep end on day one and wondering why they're burning out or checking out?The problem might not be the people. It could be that you don't have a shared language for capacity.In this episode, Martin and Khalil break down a simple but powerful framework for understanding where your employees are at — and what to do about it. You'll walk away with a mental model you can start using in your next one-on-one.Key Topics & Timestamps00:53 - Why “Overwhelmed” Means Different Things to Different People03:01 - A Real Hiring/Onboarding Example: The “Overwhelmed” Employee Who's Doing Great04:00 - The 4 Performance Zones Framework (Green/Yellow/Orange/Red)10:04 - Deep Dive: What Green, Yellow, Orange, and Red Actually Look Like16:46 - Make It Actionable: Teach the Zones + Manager Moves for Each Color19:17 - Normalize the Yellow Zone: Growth, Challenge, Reflection (and Wrap-Up)Key TakeawaysDefine what each performance zone looks like for each role in your company — green for your office manager looks different than green for your field lead.Make the zones part of your company language: teach them to your team, post them, and reference them in every one-on-one.Ask "What zone are you in?" regularly — not just during formal reviews, but in passing conversations.When an employee hits the orange zone, look at what you've assigned them before blaming their capacity; it's usually a management decision that got them there.If someone lands in the red zone without warning, that's a sign they weren't communicating — and a sign the environment didn't make it safe to.Don't mistake a comfortable employee for a productive one; if someone's in the green zone in year one, you're leaving their growth on the table.Apply the growth equation to every stretch assignment: challenge them, then give them structured time to reflect on what they learned before adding the next thing.Resources⁠Drive by Daniel Pink "When Things Are Hopeless" article ⁠⁠⁠⁠Implementing AI in Your Business Workshop Sign-Up ⁠⁠⁠⁠⁠24 Things⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Construction Business Owners Need to Successfully Hire & Train an Executive Assistant⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Schedule⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ a 15-Minute Roadblock CallBuild a Business that Runs without you. Explore our⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ GrowthKits⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Need Marketing Help? We Recommend⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Benali⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Need Help with podcast production? We recommend⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Demandcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Checkout ⁠⁠⁠⁠⁠⁠Quo⁠⁠⁠⁠⁠⁠ More from Martin Holland⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠theprofitproblem.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠annealbc.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠   ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email Martin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Meet With Martin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠More from Khalil⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠benali.com ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email Khalil⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Meet With Khalil⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠More from The Cash Flow ContractorSubscribe to our⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube channel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow On Social:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X(formerly Twitter)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Visit our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ The Cashflow Contractor

Are you the only person your builders call when something goes wrong? Most subcontractor owners don't realize they've accidentally become their company's full-time account manager, and it's the reason they can't step away from the business.In this episode, Khalil and Martin break down why this happens, what an account manager actually does (and how it's different from a project manager), and how to build this role into your company so you can stop being the bottleneck.What You'll LearnThe critical difference between an account manager and a project manager, and why confusing them creates chaosWhat the full account manager workflow looks like from discovery and onboarding through post-installHow to find, develop, and compensate the right person for this role inside your companyWhy proactive communication changes the power dynamic between subs and buildersHow to use the 80/20 rule to decide which builder accounts deserve dedicated managementKey Topics & Timestamps01:00 - Episode Intro06:54 - Account Manager vs. Project Manager: Process vs. People + One Point of Contact14:48 - Hiring & Incentivizing Great Account Managers (Homegrown Traits + Pay Structure)18:49 - What Great Account Managers Actually Do (Advocate, Proactive, Problem-Solver)23:47 - Defining the Role: Not Sales, Not PM — Owning the Builder Relationship26:24 - The Account Manager Workflow: Onboarding → Pipeline → Quote → Production → Post-Install + Scaling Tips Key TakeawaysIf every builder calls you directly when something goes wrong, you've become your company's account manager, whether you intended to or notStart building this role by documenting exactly what you do for your top builder relationships so the process can eventually be transferredGrow your account manager internally; external hires lack the institutional context needed to be effectiveThe account manager must have full context across sales, production, and install to make the same quality decisions you wouldCompensate this role well with a strong base plus account-based incentives; they are essentially an inside salesperson for your most valuable relationshipsBegin with one key account and your most reliable employee before expandingResourcesTodd Hagopian and the 80/20 (Pareto) principle for prioritizing accounts⁠⁠⁠Implementing AI in Your Business Workshop Sign-Up ⁠⁠⁠24 Things⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Construction Business Owners Need to Successfully Hire & Train an Executive Assistant⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Schedule⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ a 15-Minute Roadblock CallBuild a Business that Runs without you. Explore our⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ GrowthKits⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Need Marketing Help? We Recommend⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Benali⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Need Help with podcast production? We recommend⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Demandcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Checkout ⁠⁠⁠⁠⁠Quo⁠⁠⁠⁠⁠ More from Martin Holland⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠theprofitproblem.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠annealbc.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠   ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email Martin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Meet With Martin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠More from Khalil⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠benali.com ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email Khalil⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Meet With Khalil⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠More from The Cash Flow ContractorSubscribe to our⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube channel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow On Social:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X(formerly Twitter)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Visit our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ The Cashflow Contractor

When Tony Xu cofounded DoorDash 13 years ago, he was rejected by more than 100 investors. Today, it's a $70B+ behemoth dominating the delivery industry. Tony joins SPC General Partner Aditya Agarwal to reveal how DoorDash won the delivery war and answer the burning question of whether AI agents pose a threat to his company. He also shares why customer obsession became the company's guiding principle, the challenges of digitizing the physical world, and how startups today can build competitive advantages in the age of AI. Tony Xu: https://www.linkedin.com/in/xutony/ Aditya Agarwal: https://www.linkedin.com/in/adityaagarwal3/South Park Commons: https://www.linkedin.com/company/southparkcommons/Apply to SPC: https://www.southparkcommons.com/applyChapters:(00:00:00) - Intro (00:01:00) - Becoming a founder(00:11:48) - Implementing AI and customer obsession (00:18:22) - Is AI a threat to DoorDash? (00:21:29) - Digitizing the physical world(00:25:31) - Company culture and values (00:31:33) - Tony's unpopular business opinion (00:37:42) - How to stay curious and motivated (00:39:31) - Preparing children for the new age (00:42:47) - Audience Q&A

What if the best advice for training AI agents is actually the missing piece in how you manage your team? Khalil breaks down the "How to Hire an AI" playbook and reveals how its five core elements: persistence, identity, tools, autonomy, and accountability, are the exact framework contractors need to transform their employee management. This episode isn't about technology; it's about finally giving your team the clarity, tools, and trust they need to take work off your plate.What You'll LearnThe five elements every AI agent needs (and why your employees need them too)How to create a "trust ladder" that gives employees autonomy without micromanagingWhy closing loops proactively is the difference between good employees and great onesThe three-layer memory system that makes knowledge stick in your companyHow to set up team rhythms that actually get followed when stress hitsTime Stamps00:47 - Episode Intro02:56 - The Five Key Elements of Training AI and Employees07:31 - Implementing AI and Employee Management Strategies18:54 - Understanding Autonomy and Trust in AI19:38 - Effective Communication and Loop Management23:05 - Establishing Rhythms and Leveraging AISnippets from the Episode"Employees want to be autonomous in their role. They want to be able to become a master of what they're doing. They want meaningful work that's challenging and that they can own." - Khalil BenalioulhajKey TakeawaysThe Five Elements Framework: Persistence, Identity, Tools, Autonomy, AccountabilityGive Your Team Permission to Push BackThe Three-Layer Memory System for Your CompanyMinimum Authority Principle: Start Small, Expand Trust Over TimeThe Trust Ladder: Define What Autonomy Looks Like at Each LevelClose Loops Proactively or They'll Live in Your Head ForeverEstablish Rhythms Now So You Have Them When Chaos HitsResources⁠⁠Implementing AI in Your Business Workshop Sign-Up ⁠Claude AI⁠⁠CompanyCam⁠⁠Granola AI⁠⁠Wispr Flow⁠⁠24 Things⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Construction Business Owners Need to Successfully Hire & Train an Executive Assistant⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Schedule⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ a 15-Minute Roadblock CallBuild a Business that Runs without you. Explore our⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ GrowthKits⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Need Marketing Help? We Recommend⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Benali⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Need Help with podcast production? We recommend⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Demandcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Checkout ⁠⁠⁠⁠Quo⁠⁠⁠⁠ More from Martin Holland⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠theprofitproblem.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠annealbc.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠   ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email Martin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Meet With Martin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠More from Khalil⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠benali.com ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email Khalil⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Meet With Khalil⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠More from The Cash Flow ContractorSubscribe to our⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube channel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow On Social:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X(formerly Twitter)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Visit our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ The Cashflow Contractor

Ted Thatcher says the market is struggling to find firm footing as we go through the largest technological buildout in human history. Markets have to digest the huge price tags, he continues, but the Street has reason to question that spend. He thinks Meta Platforms (META) is the best at implementing AI, citing higher ad impressions in its latest report. Ted also covers the outlook for Amazon (AMZN) and Alphabet (GOOGL), as well as what he thinks is next for SaaS companies threatened by AI.======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

Demand for business valuation professionals continues to outpace supply, making hiring and retention a top challenge for valuation and forensic services firms heading into 2026. This episode explores business valuation hiring trends, talent retention strategies, AI's impact on early career valuation roles, and how firm consolidation is influencing the market. We also discuss why rebuilding the business valuation talent pipeline at the collegiate level is critical to the future of the profession. Continue reading to learn about key resources available at AICPA-CIMA.com to improve your valuation analyses. Guest: John Borrowman, CPC, President, Borrowman Baker LLC Host:  Nene Glenn Gianfala, CPA/ABV, Senior VP and Shareholder, Chaffe & Associates, Inc.   Please share your thoughts about the episode - click here to leave us a review   Want to get involved with future FVS conferences, committees, task forces, or the standing ovation program? Send a message to infoFVS@aicpa-cima.com RESOURCES FOR FURTHER EXPLORATION If you're using a podcast app that does not hyperlink to the resources, please visit our podcast platform to access the show notes with direct links.  JOIN:  The FVS Engage365 Member Community to collaborate with fellow AICPA® members, exchange ideas, and shape the future of the profession together. AICPA 2026 Forensic & Valuation Services Conference Exclusive content available with AICPA FVS Section membership: Click here to join this active community of your FVS peers. You will get 16 credits of complimentary CPE and access to rich technical content AICPA Model Business Valuation Curriculum Profession Ready Initiative - A research-backed CPA workforce readiness project focused on early-career skills gaps. Welcome to a career in forensic and valuation services The FVS Valuation Podcast archives Implementing AI in your Valuation Practice  Recruiting Challenges in BV: The Perfect Storm  Valuation in a Climate of Uncertainty LEARN MORE ABOUT THE FOLLOWING AICPA CREDENTIALS: Accredited in Business Valuation (ABV®) – Visit the home page and check out the ABV infographic Certified in the Valuation of Financial Instruments (CVFI®) – Visit the home page and check out the CVFI infographic Certified in Financial Forensics (CFF®) - Visit the home page and check out the CFF infographic This is a podcast from AICPA & CIMA, together as the Association of International Certified Professional Accountants. To enjoy more conversations from our global community of accounting and finance professionals, explore our network of free shows here. Your feedback and comments are welcomed at podcast@aicpa-cima.com    

  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

In this episode, Katie Noe, Product Marketing Manager at Bizzabo, joins Louise Liu to share her journey of implementing AI in competitive intelligence. Katie breaks down her workflow step by step, from how things worked before AI to what's changed since, and the impact it's had across product marketing and her cross-functional partners.For more information; check out Katie's article: How I Built a Win/Loss Program Without the "Right" Resources.All rights reserved. © Product Marketing Hive.

In this episode, Katie Noe, Product Marketing Manager at Bizzabo, joins Louise Liu to share her journey of implementing AI in competitive intelligence. Katie breaks down her workflow step by step, from how things worked before AI to what's changed since, and the impact it's had across product marketing and her cross-functional partners.For more information; check out Katie's article: How I Built a Win/Loss Program Without the "Right" Resources.All rights reserved. © Product Marketing Hive.

In this episode, Humza Teherany breaks down how he bridges deep technical fluency with strategic leadership at MLSE, home to the Raptors, Maple Leafs, and more. He shares how a vacation turned into an AI reawakening and how that hands-on immersion led to a fundamental shift in how his organization builds and experiments.Humza walks through MLSE's build in a day practice, their internal AI platform, and why speed to prototype now unlocks more than just efficiency. It changes who gets to shape the future. He, Jeremy, and Henrik explore the limits of traditional enterprise AI rollouts and how to build spaces for superusers that enable company-wide transformation. The conversation covers how technical literacy impacts credibility, why idea execution is the new differentiator, and how Humza's five-year-old inspired a bedtime story app powered by AI.Whether you're a CTO, a founder, or just figuring out where to start, Humza makes a compelling case. The best leaders don't delegate this moment. They build.Key TakeawaysLeaders should not delegate the AI momentHumza, Henrik, and Jeremy agree that this is a moment for leaders to be hands-on. The ones who build and explore the tools themselves are the ones unlocking real impact.Technical fluency builds credibility and better decisionsHumza's return to his technical roots has changed how he leads. Understanding how AI works helps leaders earn trust and make smarter, faster choices.Speed enables inclusionMLSE's build in a day model allows more people to contribute ideas and see them turned into real prototypes. Moving fast isn't just efficient - it changes who gets to participate.Empower your superusers firstRather than starting with enterprise-wide training, Humza focuses on enabling the small group already eager to build. That early energy helps drive broader culture change.MLSE: mlse.comLinkedIn: Humza Teherany - LinkedIn00:00 Intro: Humza Teherany and MLSE00:27 The Role of C-Suite Leaders in AI01:08 Reconnecting with Technical Skills02:08 Diving Deep into AI Tools03:03 The Importance of Hands-On Learning04:25 Progression from Consumer to Technical AI Tools07:28 Building a Business Case for AI10:03 Creating a Culture of Innovation14:00 Implementing AI in Business Operations21:05 Challenges and Strategies in AI Adoption26:17 Organizational Structure for AI Success32:02 The Importance of Reviewing and Planning Code33:01 The Future of Solo Developers and New Technologists34:58 Reimagining Company Structures with AI38:55 Key Skills for Future Technology Leaders41:19 Personal AI Experiments and Innovations46:52 Encouraging Creativity in Children with AI49:11 The Debrief

Brannigan Thompson, EVP and Chief Human Resources Officer at Voya Financial, joins host Dave Hennessy to discuss Voya's strategic shift and what it means for talent strategy. Brannigan shares how his experience living and working in the Netherlands early in his career shaped his leadership approach, and how Voya is now designing its organization for the future rather than around current talent. Key topics: - Designing structure and success profiles for where the business will be in 3-5 years - Implementing AI agents in HR, including interview scheduling and development planning - Voya's four cultural pillars: customer obsession, AI and automation, performance, and quality fundamentals - Why Voya helps employees discover their individual purpose—even when they choose to leave - The importance of continuous performance feedback and measurable KPIs Plus: Keystone's Coach's Corner with Shawna Simcik on the difference between kind and nice leadership.

Using AI and automation isn't just a trend—it's the secret to scaling your business without burning out. In this episode of Walk In Victory, host NaRon Tillman sits down with Dr. Bradford Carlton, business coach and automation expert, to reveal the blueprint for future-proofing your operations.Discover the critical difference between simple automation and true AI agents, and learn how to build an "Executive Assistant Suite" that runs your business for you. Whether you're a solopreneur or running a growing team, this conversation breaks down exactly how to reduce operational costs and reclaim your time. 

Today, we are thrilled to welcome Ethan King as our guest. Ethan is an entrepreneur and author who coaches individuals on AI through the Entrepreneurs' Organization (EO). He joins us today to share insights on entrepreneurship, books, and life. He also explains how small business owners can implement AI. Stay tuned as Ethan breaks down practical AI strategies that any entrepreneur can start using today. Ethan's Journey Ethan has been an entrepreneur for 25 years. He began with a passion for art and a pivot into graphic design. While in college, a class project evolved into a real e-commerce business supplying fraternity and sorority gear. Over time, he expanded into Zeus Closet, a retail and custom apparel business serving entertainment, corporate, and educational markets. Starting with only $700 alongside his future wife and business partner, Ethan emphasizes creative problem-solving and simplicity in business. His focus on automation began in 2011 and eventually evolved into AI, which he has been teaching and applying in practical ways across his businesses for the past three years. Entrepreneurs' Organization (EO) and Accelerator Ethan considers EO and its Accelerator program his practical MBA. After joining EO in 2014, he applied systems and frameworks to scale his businesses, focusing on people, cash, strategy, and execution. Since then, he has coached other entrepreneurs through the Accelerator program, helping them reach the million-dollar revenue milestone. He highlights the value of peer learning, mentorship, and surrounding oneself with a like-minded community as essential elements for business growth. Wealth Beyond Money In his book Wealth Beyond Money, Ethan introduces his six dimensions of success: spirituality, intellect, money, physical presence, love, and entertainment, spelling SIMPLE. He recommends constant calibration across those areas, rather than balance. The book, inspired by a TEDx-style talk in 2014, became a bestseller in multiple categories. The AI Evolution After his wife introduced him to ChatGPT in 2022, Ethan immediately implemented it in his businesses and demonstrated its power to other EO marketing chairs. Recognizing the demand, he began teaching AI strategies to business owners and wrote ChatGPT to Double Your Business in 90 Days. He updates the book continuously, providing readers with fresh content and practical tools for implementing AI efficiently. Implementing AI in Business Ethan used AI in his own business as a testing ground before he began teaching others, applying tools like voice agents, social media automation, and custom AI solutions to improve efficiency and scale operations with minimal resources. His approach focuses on practicality, so he only teaches methods that genuinely benefit everyday business owners in B2B and B2C contexts. Perspective on AI Adoption Ethan has noticed that most entrepreneurs are aware of AI but are barely scratching the surface. Experts using AI are rare, while some people remain resistant. He highlights proactive learning, noting that AI will replace jobs for those who ignore it, but can create opportunities for those who embrace it. He draws parallels to past technological shifts to illustrate the transformative potential of AI. Work-Life Integration and Partnership Ethan explains that working with his wife in business has strengthened their relationship. She handles operational responsibilities while he focuses on vision and creativity. He stresses the importance of shared goals and complementary roles, describing their partnership as a battlefield collaboration that builds resilience and alignment. Year-End Advice for Small Business Owners Ethan recommends three key actions: invest in AI learning and team training, upgrade necessary equipment and software, and intentionally reflect and plan for the upcoming year. He encourages people to create vision movies as a tool to emotionally engage with people's personal and business goals, integrating reflection and planning into a meaningful process that drives results. Connect with Eric Rozenberg On LinkedIn Facebook Instagram Website Listen to The Business of Meetings podcast Subscribe to The Business of Meetings newsletter Connect with Ethan King On his Website LinkedIn  

Most enterprises have roadmaps stretching 3-5 years out. What if you could compress that to 1-2 years? Brian Elliot is the Co-Founder and CEO of Blitzy, an enterprise-focused autonomous software development platform tackling one of technology's toughest problems: how do you modernize 20-100 million lines of legacy code when the developers who wrote it retired 15 years ago?In this episode, Brian explores:Why orchestrated AI agents can handle 80% of transformation work autonomously (and why humans still matter for the other 20%)The realities of enterprise buying cycles and why embedded on-site teams accelerate change managementWhy documentation and test coverage are the unsexy first steps that make everything else possibleAbout the Guest: Brian Elliott is CEO and Co-founder of Blitzy. A serial entrepreneur, former Infantry Officer with the 1st Ranger Battalion, and West Point graduate in Systems Engineering with a Harvard MBA, Brian brings a unique blend of military precision, engineering expertise, and entrepreneurial vision to transforming enterprise software development.As CEO, Brian leads Blitzy's mission to empower systematic AI adoption across enterprises, transforming traditional development lifecycles into AI-native workflows. Under his leadership, Blitzy has developed an agentic platform where thousands of specialized AI Agents cooperate at inference to autonomously deliver enterprise-scale code that is tested, validated, and compiled.Focused on operational deployment at scale, Brian architected the company's proven Agentic SDLC Accelerator—a structured methodology that systematically guides engineering organizations from technical validation to full-scale enterprise adoption. This framework unlocks autonomous capabilities across the complete software development lifecycle.Timestamps:01:25 – Understanding Blitzy's AI Capabilities03:25 – Challenges and Solutions in Enterprise Software06:00 – The Genesis of Blitzy07:30 – Insights from Nvidia and AI Development11:00 – Implementing AI in Enterprise Systems18:00 – Change Management and Customer Collaboration20:30 – Understanding Enterprise Security Needs25:10 – Improving Code Quality and Test Coverage28:15 – Blitzy's Mission and Market Direction30:10 – Challenges and Opportunities in Enterprise SoftwareGuest Highlight:"Code is beautiful in that it's verifiable. We're following enterprise best practices—everything goes to a dev branch where a human can look at it, review it, go through a typical QA process. The first thing we're gonna do is document their code so they know what's going on, then add test cases, then develop software at scale that's highly verifiable."Get Connected:Brian Elliot on LinkedInYousuf Kahn on LinkedInIan Faison on LinkedInHungry for more tech talk? Check out past episodes at ciopod.com: Ep 62 - Running IT Like a Growth EngineEp 61 - What Manufacturing Can Teach You About Scaling Enterprise AIEp 60 - Why the Smartest CIOs Are Becoming Business StrategistsLearn more about Caspian Studios: caspianstudios.comOur Sponsor: This episode is brought to you by Blitzy, the Enterprise Autonomous Software Development Platform with Infinite Code Context. Blitzy uses thousands of specialized AI agents that think for hours to understand enterprise scale codebases with millions of lines of code.Enterprise Engineering leaders start every development sprint with the Blitzy platform, bringing in their development requirements. The Blitzy platform provides a plan, then generates and pre-compiles code for each task. Blitzy delivers 80%+ of the development work autonomously, while providing a guide for the final 20% of human development work required to complete the sprint.Public companies are achieving a 5x engineering velocity increase when incorporating Blitzy as their Pre-IDE development tool, pairing it with their coding co-pilot of choice to bring an AI-Native SDLC into their org.Visit Blitzy.com and press book demo to learn how Blitzy transforms your SDLC from AI Assisted to AI Native. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, Ryan Deiss shares his insights on the impact of AI on business and marketing. He discusses the uncertainty surrounding the future, the shift in consumer behavior towards AI-driven results, and the steps his companies are taking to adapt. Ryan elaborates on the strategic pivot at Digital Marketer, transitioning from traditional training to leveraging AI tools trained on proprietary IP. He also provides practical advice on how businesses can audit and implement AI to improve efficiency and drive growth. Whether you're an entrepreneur, marketer, or business owner, this episode is a must-watch to understand the transformative potential of AI in today's market. 00:00 Uncertainty in the Age of AI 00:38 Exploring Ryan Deiss' Marketing Empire 01:25 Navigating Market Conditions and Deal Strategies 05:19 Reviving Businesses: The Process 12:08 The Role of AI in Business Optimization 19:32 AI's Impact on the Information and Coaching Industry 25:59 AI Integration in Business Operations 32:35 Future of Work: AI and Human Roles 36:40 AI's Influence on Business Valuations 39:21 Implementing AI in Portfolio Companies 41:36 AI Integration in the Workplace 42:26 Challenges and Fears of AI Adoption 43:23 AI as a Competitive Advantage 43:59 AI in Marketing and Acquisitions 44:45 The Future of AI in Business 48:26 Implementing AI for Efficiency 55:55 The Rise of AI Agents 01:03:50 AI's Impact on Employment and Economy 01:08:05 Digital Marketer's AI Pivot 01:17:47 Final Thoughts and Reflections

Tomer Cohen is the longtime chief product officer at LinkedIn, where he's pioneering the Full Stack Builder program, a radical new approach to product development that fully embraces what AI makes possible. Under his leadership, LinkedIn has scrapped its traditional Associate Product Manager program and replaced it with an Associate Product Builder program that teaches coding, design, and PM skills together. He's also introduced a formal “Full Stack Builder” title and career ladder, enabling anyone from any function to take products from idea to launch. In this conversation, Tomer explains why product development has become too complex at most companies and how LinkedIn is building an AI-powered product team that can move faster, adapt more quickly, and do more with less.We discuss:1. How 70% of the skills needed for jobs will change by 20302. The broken traditional model: organizational bloat slows features to a six-month cycle3. The Full Stack Builder model4. Three pillars of making FSB work: platform, agents, and culture (culture matters most)5. Building specialized agents that critique ideas and find vulnerabilities6. Why off-the-shelf AI tools never work on enterprise code without customization7. Top performers adopt AI tools fastest, contrary to expectations about leveling effects8. Change management tactics: celebrating wins, making tools exclusive, updating performance reviews—Brought to you by:Vanta—Automate compliance. Simplify security: https://vanta.com/lennyFigma Make—A prompt-to-code tool for making ideas real: https://www.figma.com/lenny/Miro—The AI Innovation Workspace where teams discover, plan, and ship breakthrough products: https://miro.com/lenny—Transcript: https://www.lennysnewsletter.com/p/why-linkedin-is-replacing-pms—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/180042347/my-takeaways-from-this-conversation—Where to find Tomer Cohen:• LinkedIn: https://www.linkedin.com/in/tomercohen• Podcast: https://podcasts.apple.com/us/podcast/building-one-with-tomer-cohen/id1726672498—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Tomer Cohen(04:42) The need for change in product development(11:52) The full-stack builder model explained(16:03) Implementing AI and automation in product development(19:17) Building and customizing AI tools(27:51) The timeline to launch(31:46) Pilot program and early results(37:04) Feedback from top talent(39:48) Change management and adoption(46:53) Encouraging people to play with AI tools(41:21) Performance reviews and full-stack builders(48:00) Challenges and specialization(50:05) Finding talent(52:46) Tips for implementing in your own company(56:43) Lightning round and final thoughts—Referenced:• How LinkedIn became interesting: The inside story | Tomer Cohen (CPO at LinkedIn): https://www.lennysnewsletter.com/p/how-linkedin-became-interesting-tomer-cohen• LinkedIn: https://www.linkedin.com• Cursor: https://cursor.com• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Devin: https://devin.ai• Figma: https://www.figma.com• Microsoft Copilot: https://copilot.microsoft.com• Windsurf: https://windsurf.com• Building a magical AI code editor used by over 1 million developers in four months: The untold story of Windsurf | Varun Mohan (co-founder and CEO): https://www.lennysnewsletter.com/p/the-untold-story-of-windsurf-varun-mohan• Lovable: https://lovable.dev• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (co-founder and CEO): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• APB program at LinkedIn: https://careers.linkedin.com/pathways-programs/entry-level/apb• Naval Ravikant on X: https://x.com/naval• One Song podcast: https://podcasts.apple.com/us/podcast/%D7%A9%D7%99%D7%A8-%D7%90%D7%97%D7%93-one-song/id1201883177• Song Exploder podcast: https://songexploder.net• Grok on Tesla: https://www.tesla.com/support/grok• Reid Hoffman on X: https://x.com/reidhoffman—Recommended books:• Why Nations Fail: The Origins of Power, Prosperity, and Poverty: https://www.amazon.com/Why-Nations-Fail-Origins-Prosperity/dp/0307719227• Outlive: The Science and Art of Longevity: https://www.amazon.com/Outlive-Longevity-Peter-Attia-MD/dp/0593236599• The Beginning of Infinity: Explanations That Transform the World: https://www.amazon.com/Beginning-Infinity-Explanations-Transform-World/dp/0143121359—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

There are a lot of ongoing changes happening with SEO and how user behavior is changing with AI. It's hard enough to keep up with as a web designer…I can't imagine as a client!But someone who's doing a great job keeping their SEO clients in-the-know and updated every step of the way is Lindsay Halsey, co-founder of SEO agency webshine.comShe shares how they're implementing AI SEO, how it's changing their current offers, pricing and what they're not changing.Head to the show notes to get all links and resources we mentioned, along with a full transcription of this episode at joshhall.co/407My 2023 Black Friday Sale is ON!!All Web Design Courses are 30% OFF.

Jeanne DeWitt Grosser built world-class GTM teams at Stripe, Google, and, most recently, Vercel, where she serves as COO and oversees marketing, sales, customer success, revenue operations, and field engineering. She transformed Stripe's early sales organization from the ground up and advises founders on GTM strategy.We discuss:1. Why GTM is becoming more strategically important in the AI era2. The rise of the GTM engineer3. A primer on segmentation4. How to build a sales org that engineers and product teams respect5. The changing calculus of build vs. buy for go-to-market tools in the AI era6. Why most customers buy to avoid pain rather than to gain upside—Brought to you by:Datadog—Now home to Eppo, the leading experimentation and feature flagging platform: https://www.datadoghq.com/lennyLovable—Build apps by simply chatting with AI: https://lovable.dev/Stripe—Helping companies of all sizes grow revenue: https://stripe.com/—Transcript: https://www.lennysnewsletter.com/p/what-the-best-gtm-teams-do-differently—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/179503137/my-biggest-takeaways-from-this-conversation—Where to find Jeanne DeWitt Grosser:• X: https://x.com/jdewitt29• LinkedIn: https://www.linkedin.com/in/jeannedewitt—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Jeanne DeWitt Grosser(05:26) Defining go-to-market(08:43) The evolution of go-to-market roles(11:23) The rise of the go-to-market engineer(14:21) Implementing AI in sales processes(15:28) Optimizing sales with AI agents(23:47) Defining sales roles: SDRs and AEs(26:04) When to hire a GTM engineer(29:04) Hiring and scaling sales teams(30:50) The ideal go-to-market engineer(34:24) The go-to-market tool stack(40:39) Advice on building a great sales bot(44:34) Vercel's unfair advantage(46:37) Go-to-market as a product(47:04) Innovative sales tactics at Stripe(52:38) Effective go-to-market tactics(01:00:37) Segmentation strategies(01:09:31) Building a sales org that engineers love(01:14:00) Thoughts on PLG and pricing(01:16:44) Sales compensation and hiring(01:19:24) Lightning round and final thoughts—Referenced:• Vercel: https://vercel.com• Stripe: https://stripe.com• Rosalind Franklin: https://en.wikipedia.org/wiki/Rosalind_Franklin• Ben Salzman on LinkedIn: https://www.linkedin.com/in/bensalzman• SDK: https://ai-sdk.dev/docs/introduction• Gong: https://www.gong.io• Lyft: https://www.lyft.com• Instacart: https://www.instacart.com• DoorDash: https://www.instacart.com• “Sell the alpha, not the feature”: The enterprise sales playbook for $1M to $10M ARR | Jen Abel: https://www.lennysnewsletter.com/p/the-enterprise-sales-playbook-1m-to-10m-arr• A step-by-step guide to crafting a sales pitch that wins | April Dunford (author of Obviously Awesome and Sales Pitch): https://www.lennysnewsletter.com/p/a-step-by-step-guide-to-crafting• Kate Jensen on LinkedIn: https://www.linkedin.com/in/kateearle• Lessons from scaling Stripe | Claire Hughes Johnson (former COO of Stripe): https://www.lennysnewsletter.com/p/lessons-from-scaling-stripe-tactics• Atlassian: atlassian.com—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

What does it actually look like to start using AI in a meaningful way inside your law firm? That is the question Melissa explores with legal technology consultant Ernie Svenson in this follow-up conversation on the future of AI and its impact on lawyers. Instead of trying to learn every tool or waiting for the perfect moment to start, Ernie explains why consistent use is the real driver of progress and why treating AI like learning a new language helps you build confidence over time.   Melissa and Ernie discuss why many lawyers approach AI implementation with hesitation and how simple, immediate payoffs can remove the barriers that keep firms from moving forward. They talk through examples of how AI can support everyday work in a law firm, how to think about choosing tools, and why the value comes from using AI in real situations rather than studying it in theory. They also explore the role of community and conversation in building practical skills, especially when the technology is evolving so quickly.   Let's talk! If you are a law firm owner looking to talk with us about partnering on your personal and professional growth, book a short, free, no-pressure call with Melissa here: https://velocitywork.com/calendar   Get full show notes, transcript, and more information here: https://www.velocitywork.com/337   Watch this episode on YouTube: https://youtube.com/@velocitywork

Dr. James Beckett chats with longtime friend and industry expert Rob Veres about the evolution of sports card collecting. They touch on pivotal changes, like PSA's integration into retail spaces, the significance of AI in streamlining operations, and the layers of management required for business growth. Rob highlights the importance of creating an emotional and transactional experience for customers while showcasing the diverse demographics now engaging with the hobby. The discussion covers strategies for maintaining a strong brand, fostering innovation, and the challenges and successes of modern sports card shops.   00:33 PSA Kiosk and Customer Convenience 02:54 Implementing AI in the Business 06:42 Management and Business Growth 08:02 Card Shop Comparisons and Innovations 16:00 Creating an Experience for Customers 19:08 Diversity and Future of the Hobby  

Watch the YouTube version of this episode HEREAre you an entrepreneur looking to grow and thrive in the legal space? In this episode of the Maximum Lawyer Podcast, Tyson interviews Matt Anderson, an attorney and real estate investor, about his unconventional journey blending law, entrepreneurship, and property investing. Matt shares lessons from multi-level marketing and business ownership and emphasizes the importance of hiring for culture fit.For lawyers who are new to the entrepreneurial space, it is possible to build a firm that runs on minimal daily involvement. In order to do this, you need to let go of a lot of the day to day work of practicing law as well as partner and hire individuals who can help you achieve that. Partner with another lawyer who has the same vision as you. After that, look at hiring good lawyers who will do all the necessary work that will bring you success. That way, you can spend your day doing what you want to do.Matt provides some insights on hiring staff based on culture and character, rather than experience. One way to do this is utilizing personality tests, inner metrics and multiple interviews to find the right fit. For Matt, anyone can learn a skill or aspects of a job. But, not everyone has the character or personality to work for a certain firm. As an owner, you need to determine what kind of firm you want to run and hire people based on what matters to you most.Listen in to learn more!2:01 Creative Side Hustles in Law School4:13 Building a Business, Not Just Practicing Law9:44 Hiring and Personality Fit16:32 Buying Law Firm Real Estate 23:23 Creative Financing and Seller Deals 25:12 Renting vs. Owning Your Home29:24 AI as a Law Firm Leveler32:13 Preventing Lifestyle Creep in Law Firms34:06 Impact of AI and the Future of Office Space43:36 Who Runs the Firm?47:20 Biggest Surprises in Partnership 49:40 Implementing AI in the Firm53:03 The Role of Hard Work in Success 58:03 Importance of Emotional Intelligence (EQ)Connect with Matt:Website  LinkedIn  Tune in to today's episode and checkout the full show notes here. 

Josh started his career at American Airlines (AA) and spent 5 years in their MBA leadership development program. Josh's experience at AA further refined his leadership abilities and strategic decision making skills. While employed at AA Josh and his wife Becca started Hadley Designs. As the CEO of Hadley Designs, Josh led the business to gross $100,000+ in revenue within it's first year and in 2022 Hadley Designs crossed the eight figure mark, grossing over $10,000,000 in revenue.Highlight Bullets> Here's a glimpse of what you would learn…. Leveraging AI tools for hiring management-level staff globally.Conducting a time study to identify hiring resource allocation.Creating a clear role profile and scorecard with defined expectations and KPIs.Attracting top talent through detailed job descriptions and hidden tasks.Sourcing a large pool of candidates to ensure quality selection.Implementing AI recruiting tools for streamlined candidate sourcing and application management.Establishing a rigorous vetting process, including assessments and test projects.Conducting group interviews to evaluate candidate interactions and dynamics.Performing thorough reference checks to verify candidates' past performance.Setting high performance standards for new hires to enhance team effectiveness.In this podcast episode, the speaker, an experienced entrepreneur and host of the "Ecomm Breakthrough Podcast," shares a detailed seven-step process for hiring management-level staff using AI tools. The speaker emphasizes the importance of conducting a time study to allocate hiring resources effectively, creating detailed role profiles and scorecards, and leveraging AI tools like ChatGPT for efficiency. They discuss innovative techniques such as group interviews and AI-driven resume screening to streamline the hiring process. By implementing rigorous vetting processes and thorough reference checks, the speaker provides actionable insights for scaling businesses to eight figures and beyond.Here are 3 short, actionable takeaways from the podcast summary:Start with a Time Study: Track your daily activities in 15-minute increments for two weeks to identify tasks you can delegate—this sets the foundation for hiring the right management-level support.Use AI to Streamline Hiring: Leverage tools like ChatGPT to quickly generate tailored role profiles and scorecards, and platforms like Workable to automate resume screening and candidate sourcing.Vet Rigorously, Hire Deliberately: Implement group interviews, test projects, and reference checks to assess both skills and culture fit—only hire candidates who raise the bar for your existing team.Resources mentioned in this episode:Josh Hadley on LinkedIneComm Breakthrough YouTubeeComm Breakthrough ConsultingeComm Breakthrough PodcastEmail Josh Hadley: Josh@eCommBreakthrough.comOdesk (now known as Upwork)Criteria Corp (for assessments)Workable.phChatGPTSpecial Mention(s):Adam “Heist” Runquist on LinkedInKevin King on LinkedInMichael E. Gerber on LinkedInRelated Episode(s):“Cracking the Amazon Code: Learn From Adam Heist's Brand Scaling Secrets” on the eComm Breakthrough Podcast“Kevin King's Wicked-Smart Tips for Building an Audience of Raving Fans” on the eComm Breakthrough Podcast“Unlocking Entrepreneurial Greatness | Insider Secrets With E-myth Author Michael Gerber” on the eComm Breakthrough PodcastEpisode SponsorSponsor for this episode...This episode is brought to you by eComm Breakthrough Consulting where I help seven-figure e-commerce owners grow to eight figures. I started Hadley Designs in 2015 and grew it to an eight-figure brand in seven years.I made mistakes along the way that made the path to eight figures longer. At times I doubted whether our business could even survive and become a real brand. I wish I would have had a guide to help me grow faster and avoid the stumbling blocks.If you've hit a plateau and want to know the next steps to take your business to the next level, then go to www.EcommBreakthrough.com (that's Ecomm with two M's) to learn more.Transcript AreaJosh Hadley 00:00:00  Today, I'm going to be walking through how we're going to be leveraging AI to hire management level staff anywhere in the world. Okay. And I'm going to be showing you guys kind of the filters, everything that we've set up. There's a lot to dissect in 20 minutes. So we're going to be flying through all of this. But the good news is Jim and Mimi, those two things that you talked about AI and hiring leaders, like, that's exactly what I'm talking about today. All right. So this is the easy way to use AI to find incredible management level contractors overseas. as Bryce mentioned. Who am I? So first and foremost, father of four, husband to a beautiful wife. We had a baby six months ago. Five months ago. His name is Harvey and Harper. She's the one here. She's a she's my second and she's six years old. So happy to have her with us. And then we started our brand on Amazon back in 2016. We've been an eight figure brand on Amazon for three years straight now and then.Josh Hadley 00:00:49  I'm also the host of the Ecomm Breakthrough podcast, where I share strategies to scale from 7 to 8 figures and beyond in the e-commerce world. All right. So first up, I want to share a story. So all of us have heard the amazing opportunity to go higher $3 an hour. Filipinos that can revolutionize our business, right? Everybody's talked about that. Okay, so this was me back in 2017 being like, oh, everybody's hiri...

My guest today is Jesse Zhang. Jesse is the co-founder and CEO of Decagon, one of the fastest-growing AI customer service companies. Decagon provides a centralized AI engine to auto-resolve issues at any time, in every language, and across every channel. Jesse shares his systematic approach to finding product-market fit by asking potential customers exactly how much they'd pay for solutions. We explore why customer service and coding have emerged as the two clearest AI use cases for enterprises, and the key business and technical factors behind Decagon's momentum. We discuss the intense competitive dynamics of building in AI today, strategic decisions around building proprietary models, and deploying AI agents at enterprise scale. Please enjoy my conversation with Jesse Zhang. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠ ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ramp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ramp's mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ramp.com/invest⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to sign up for free and get a $250 welcome bonus. – This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ridgeline⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ridgeline has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Head to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ridgelineapps.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about the platform. – This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AlphaSense⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. AlphaSense has completely transformed the research process with cutting-edge AI technology and a vast collection of top-tier, reliable business content. Invest Like the Best listeners can get a free trial now at⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Alpha-Sense.com/Invest⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and experience firsthand how AlphaSense and Tegus help you make smarter decisions faster. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Show Notes: (00:00:00) Welcome to Invest Like the Best (00:05:49) Building a Company in a Competitive Market (00:07:26) Personal Background and Competitive Upbringing (00:10:32) Challenges and Lessons from Previous Ventures (00:12:21) Ideation and Customer Discovery Process (00:19:31) Developing and Refining AI Customer Service Agents (00:32:26) Voice AI and Future Prospects (00:38:20) Utilizing Customer Interaction Data (00:39:59) Frameworks for Implementing AI in Business (00:41:48) Evaluating the ROI of Coding Agents (00:42:53) The Future of Company Agents (00:45:15) Brand Personality in AI Agents (00:47:48) Investor Interest in AI Companies (00:54:32) The Competitive Landscape of AI Talent (00:57:21) Building Proprietary AI Models (01:10:36) Customer Qualification and Engagement (01:17:27) The Kindest Thing

In this conversation, Ryan Staley discusses the transformative potential of Claude 4.5, focusing on its 30-hour autonomous work capabilities across marketing, sales, leadership, and personal productivity. He provides practical workflows and examples to illustrate how businesses can leverage AI to enhance efficiency and effectiveness. The discussion also covers new features of Claude 4.5 that can further aid in various business functions.Claude 4.5 can autonomously work for 30 hours on complex tasks.AI can significantly enhance marketing through content creation and competitor analysis.Sales processes can be revolutionized with AI-driven prospecting and personalized outreach.Leadership can benefit from AI by receiving strategic decision support and executive briefings.Personal productivity can be improved by automating life organization and skill development.AI can generate detailed reports and insights that save time and resources.Implementing AI requires starting with one high-impact use case.The new features of Claude 4.5 offer exciting opportunities for businesses.AI can operate like a personal assistant, managing tasks and schedules.Businesses that adopt AI early can gain a significant competitive advantage.KeywordsAI, Claude 4.5, marketing automation, sales optimization, leadership tools, personal productivity, skill development, autonomous work, AI transformation, business growth

Are AI “super agents” like Xero's Jax actually useful—or just shiny chatbots? Blake and David unpack Xerocon announcements, why embedded agents lack context, smarter way to automate bank feeds with rules, the leaked “no tax on tips” job list and planning opportunities, IRS staffing whiplash, plus what billion‑dollar AI pledges from big firms really mean. Walk away with practical steps to deploy AI that saves hours without losing control.SponsorsTeamUp - http://accountingpodcast.promo/teamupRippling - http://accountingpodcast.promo/ripplingDigits - http://accountingpodcast.promo/digitsChapters(00:00) - Introduction and Podcast Overview (00:45) - Continuing Professional Education (CPE) Credits (03:20) - Live Stream Interactions and Coffee Talk (04:09) - Upcoming Deadlines and Tax Season Tips (05:52) - Upcoming Conferences and Events (14:48) - Blake's New Book Announcement (24:27) - No Tax on Tips Discussion (28:57) - IRS Workforce Challenges (31:41) - State Tax Implications for NFL Players (36:22) - Xero Con and AI Financial Super Agent (37:51) - Analyzing Gross Profit Trends (39:43) - Limitations of AI in Accounting (42:12) - AI-Powered Bank Reconciliation (49:47) - Automating Invoice Creation with AI (55:01) - Grant Thornton's AI Investment (01:02:16) - The Future of AI in Accounting (01:13:03) - AI's Impact on Accounting Jobs (01:21:26) - Implementing AI in Accounting Firms  Show NotesTreasury names jobs for Trump's 'no tax on tips' deduction https://www.cnbc.com/2025/09/03/treasury-trump-no-tax-on-tips-jobs.htmlScoop: List of jobs covered by Trump's "no tax on tips" (See if you qualify) https://www.axios.com/2025/09/01/no-tax-on-tips-jobs-trump-billWorkers in 68 occupations may soon be exempt from paying taxes on tips, including some surprising jobshttps://www.cbsnews.com/news/no-tax-on-tips-trump-big-beautiful-bill-68-occupations-heres-who/IRS is canceling its layoff plans, will ask some it fired or pushed out to return https://www.govexec.com/workforce/2025/08/irs-canceling-its-layoff-plans-will-ask-some-it-fired-or-pushed-out-return/407620/The IRS is Downsizing: Key Divisions Most Affected in 2025 https://sandbergphoenix.com/the-irs-is-downsizing-key-divisions-most-affected-in-2025/Grant Thornton Advisors investing $1 billion to arm the multinational workforce across its platform with powerful AI tools and technologyhttps://www.businesswire.com/news/home/20250904414830/en/Grant-Thornton-Advisors-investing-$1-billion-to-arm-the-multinational-workforce-across-its-platform-with-powerful-AI-tools-and-technologyGrant Thornton Advisors to Sink $1 Billion Over Three Years on AI https://www.cpapracticeadvisor.com/2025/09/05/grant-thornton-advisors-to-sink-1-billion-over-three-years-on-ai/168500/Need CPE?Get CPE for listening to podcasts with Earmark: https://earmarkcpe.comSubscribe to the Earmark Podcast: https://podcast.earmarkcpe.comGet in TouchThanks for listening and the great reviews! We appreciate you! Follow and tweet @BlakeTOliver and @DavidLeary. Find us on Facebook and Instagram. If you like what you hear, please do us a favor and write a review on Apple Podcasts or Podchaser. Call us and leave a voicemail; maybe we'll play it on the show. DIAL (202) 695-1040.SponsorshipsAre you interested in sponsoring The Accounting Podcast? For details, read the prospectus.Need Accounting Conference Info? Check out our new website - accountingconferences.comLimited edition shirts, stickers, and other necessitiesTeePublic Store: http://cloudacctpod.link/merchSubscribeApple Podcasts: http://cloudacctpod.link/ApplePodcastsYouTube: https://www.youtube.com/@TheAccountingPodcastSpotify: http://cloudacctpod.link/SpotifyPodchaser: http://cloudacctpod.link/podchaserStitcher: http://cloudacctpod.link/StitcherOvercast: http://cloudacctpod.link/OvercastClassifiedsWant to get the word out about your newsletter, webinar, party, Facebook group, podcast, e-book, job posting, or that fancy Excel macro you just created? Let the listeners of The Accounting Podcast know by running a classified ad. Go here to create your classified ad: https://cloudacctpod.link/RunClassifiedAdTranscriptsThe full transcript for this episode is available by clicking on the Transcript tab at the top of this page

Scott and Wes dive into the fundamentals of project initialization and planning, from outlining ideas and choosing the right tools to making smart technology decisions. They also chat about leveraging AI and collaboration to shape better projects before rolling up your sleeves and getting to work. Show Notes 00:00 Welcome to Syntax! 02:12 Brought to you by Sentry.io. 04:03 Make a plan. 04:06 Start with an outline and let it evolve. 05:59 Mind-Mapping software vs plain text. 08:49 Utilizing LLMs for alternative perspectives. 09:58 Utilizing humans for alternative perspectives. 11:17 Making technology choices. 13:24 Assessing the project's actual needs. 13:30 Is this a long-term project? 15:43 Is this project Open Source? 16:09 Are you working in a team? 18:12 Are you prioritizing learning? 19:48 Pick technologies with proven compatibility. 20:17 Implementing AI. 20:44 Steering docs. 26:24 Get to work and break stuff. Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

In this episode, Simon welcomes back Andre Lester, managing partner of MS3IT Business Solutions, to discuss the transformative power of AI in business development. With 18 years of experience in IT and cybersecurity, Andre shares insights on how AI can streamline operations, enhance customer engagement, and ultimately drive revenue. The conversation delves into practical applications of AI, including automation of lead workflows, customer interactions, and the importance of context in AI-driven solutions.Key Moments:Andre is an expert in AI and business automation with extensive experience in IT and cybersecurity.AI can help businesses attract and engage customers at scale by automating repetitive tasks and improving operational efficiency.Andre shares his journey of using AI in his own business, Ubreakifix, to automate customer engagement and streamline operations.Providing AI with detailed context about your business is crucial for effective results. Garbage in, garbage out applies here.Automating customer interactions through chatbots and voice assistants can enhance customer experience and ensure 24/7 availability.Various tools and platforms can be utilized for automating customer engagement, including chatbots, SMS, and email outreach.AI can help create personalized outreach strategies by analyzing customer data and behavior, making communications more relevant.Voice assistants can handle customer inquiries, schedule appointments, and follow up, providing a seamless customer experience.Implementing AI solutions can vary in cost, with initial setup and monthly fees depending on the complexity of the system.The conversation highlights the potential for AI to revolutionize various industries, including healthcare, by improving service delivery and operational efficiency.To learn more about Andre Lassiter please visit her Linkedin ProfileTo learn more about MS3IT Business Solutions please visit her websiteYOUR HOST - SIMON LADER    Simon Lader is the host of The Conference Room, Co-Founder of global executive search firm Salisi Human Capital, and lead generation consultancy Flow and Scale. Since 1997, Simon has helped cybersecurity vendors to build highly effective teams, and since 2022 he has helped people create consistent revenue through consistent lead generation.      Get to know more about Simon at:    Website: https://simonlader.com/  Twitter: https://twitter.com/simonlader  LinkedIn: https://www.linkedin.com/in/headhuntersimonlader/    The Conference Room is available onSpotifyApple podcastsAmazon MusicIHeartRadio

Implementing AI in government agencies — where the public goes for things like food stamps and unemployment or disability benefits — could come with tradeoffs, according to a recent report by the Roosevelt Institute. Marketplace's Meghan McCarty Carino sat down with Samantha Shorey, who authored that report on AI and public administration.

Implementing AI in government agencies — where the public goes for things like food stamps and unemployment or disability benefits — could come with tradeoffs, according to a recent report by the Roosevelt Institute. Marketplace's Meghan McCarty Carino sat down with Samantha Shorey, who authored that report on AI and public administration.