An Hour of Innovation with Vit Lyoshin

Vit Lyoshin

An Hour of Innovation is hosted by Vit Lyoshin, a technology professional with a product development, and program leadership background. Each episode explores the art and science of innovation through conversations with product leaders, scientists, and innovators. We dive into groundbreaking ideas, uncovering the why and how behind them. The goal is to amplify the voices of those driving change, offering insights, inspiration, and practical takeaways to spark listeners’ creativity and passion for progress. Welcome, and enjoy!

  1. AI in the Real World! How AI Predicts Human Behavior | Galvin Widjaja

    3일 전

    AI in the Real World! How AI Predicts Human Behavior | Galvin Widjaja

    In this episode of An Hour of Innovation, host Vit Lyoshin sits down with Galvin Widjaja, founder and CEO of Loretta.io, to explore how AI in the real world is moving beyond counting people to actually predicting human behavior. They discuss how computer vision AI is reshaping malls, airports, and casinos, why context is everything when it comes to intent detection, and how balancing privacy and ethics is critical for the future of AI surveillance. Galvin shares how Loretta.io’s technology can detect suspicious behavior, from identifying someone planting a bomb without ever witnessing the act, to uncovering hidden demand in shopping malls, to supporting casino security systems that resemble something straight out of Ocean’s Eleven. He also explains why Loretta.io is designed to “forget who you are” by default, and why that ethical choice matters as predictive AI expands into the physical world. Galvin is the founder and CEO of Loretta.io, an AI company that focuses on understanding human experiences in physical spaces through computer vision and non-biometric tracking. His background spans finance, consulting, and data optimization, which led him to spot early opportunities in AI surveillance and intent-based analytics. With a deep focus on AI ethics and privacy, Galvin is helping shape how predictive AI will be adopted in industries from retail to security. He also shares his advice for AI founders, thin vs thick AI, and why most AI startups will fail if they don’t choose wisely. Support This Podcast To support our work, please check out our sponsors and get discounts: https://www.anhourofinnovation.com/sponsors/ Takeaways * AI in the real world is shifting from counting people to predicting human intent. * Context matters: the same action means different things in different places. * The AI technology can infer behavior, like spotting someone planting a bomb, even if the act isn’t seen. * Retail use cases: understanding shopping behavior, hidden demand, and improving mall analytics. * Security use cases: airports, public spaces, and casinos with thousands of surveillance cameras. * AI acts as an assistant to human security guards, extending their attention span. * Loretta.io is built to forget identities by design, prioritizing privacy and ethics. * Consent is key: identity is only linked when explicitly given or under legal security boundaries. * Embodied AI is coming, think robot dogs in homes that track movement and behavior. * Future AI will make intent detection more precise, but it raises ethical questions about preventive security. * Galvin stresses the importance of responsible AI design to avoid privacy abuses. * Galvin introduces the Thin vs Thick AI concepts: startups built on single models vs layered systems. * Most AI startups will fail if they rely too heavily on one public model. * Successful AI companies must focus on fundamental technology and long-term differentiation. Timestamps 00:00 Introduction 01:04 Galvin’s Journey into AI 06:52 Ads 08:06 AI in the Real World: Understanding Human Experience 14:23 Loretta.io Technology: Computer Vision & Non-Biometric Tracking 18:06 Context Matters: How AI Predicts Human Intent 22:53 AI for Retail vs Security: Business Insights & Threat Detection 27:32 Casino Surveillance: The Ocean’s Eleven of AI 33:11 Robot Dogs, Embodied AI & The Future of Surveillance 39:06 Ethics and Privacy: Why Loretta.io Forgets Who You Are 43:25 The Future of Predictive AI & Security 48:00 Advice for AI Founders & Innovators Connect with Galvin * Website: https://lauretta.io/ * LinkedIn: https://www.linkedin.com/in/galvinw/ * X: https://x.com/galvinw Connect with Vit * Website: https://vitlyoshin.com/contact/ * LinkedIn: https://www.linkedin.com/in/vit-lyoshin/ * X: https://x.com/vitlyoshin Vit’s Projects * Podcast: https://www.anhourofinnovation.com/ * AI Assistant to build apps: https://appforgelab.com/

    52분
  2. Can AI Replace Engineers? Agentic AI, Code Testing, and Real Enterprise Adoption | Ben Carle

    9월 6일

    Can AI Replace Engineers? Agentic AI, Code Testing, and Real Enterprise Adoption | Ben Carle

    In this episode of An Hour of Innovation podcast, host Vit Lyoshin sits down with Ben Carle, CEO of FullStack Labs, to explore the real-world impact of AI in software development. Ben is a PhD-trained computer scientist, engineering leader, and the driving force behind FullStack Labs, a software consultancy known for building AI-powered tools for enterprises that want scalable, modern applications. Together, they unpack whether AI can truly replace engineers, how agentic AI is being used (and misunderstood), and what “code testing with AI” looks like in practice. Ben shares behind-the-scenes insights from FullStack’s internal AI systems, including a tool that now grades 80% of developer interviews, and how enterprise clients are adopting AI responsibly by starting with better data, stronger architecture, and measurable ROI. Ben also shares practical lessons from the frontlines: how AI is transforming developer workflows, why junior engineers can't just "vibe code" with AI, and what engineering leaders need to know before integrating large language models into production environments. With nearly a decade of experience scaling FullStack Labs, Ben brings a rare blend of technical depth and business clarity. His approach to AI adoption is grounded, ethical, and results-driven, making this episode a must-listen for engineers, product leaders, and founders navigating the future of software development. Support This Podcast To support our work, please check out our sponsors and get discounts: https://www.anhourofinnovation.com/sponsors/ Takeaways * AI helps senior devs, not replaces them. * Agentic AI = smarter automation, not magic bots. * AI testing is harder, so non-deterministic outcomes need new QA methods. * FullStack's AI grades 80% of developer interviews. * Enterprise clients focus on data readiness, not flashy tools. * Proof-of-concept first: no ROI, no build. * AI audits live phone calls for compliance more accurately than humans. * Companies forget to capture training data from human workflows. * AI is improving UX in complex spaces like healthcare. * Vibe coding doesn’t work at enterprise scale. * Trust in AI is growing, but slowly in large orgs. Timestamps 00:00 Introduction 04:12 Ads 05:27 Navigating AI in Enterprise Solutions 06:38 Why Aren’t Enterprise Companies Jumping into AI 09:51 What Expertise Enterprises Lack 12:26 Quality Assurance in AI Applications 15:14 Internal AI Tools and Processes 18:08 How to Hire Developers 20:29 AI in Developer Assessment and Certification 21:42 AI is Changing Developers' Behavior 26:25 AI's Role in Software Design and Architecture 28:49 Use Cases and the Future of AI in Development 33:32 The Integration of AI in Software Development 41:12 Identifying Suitable Use Cases for AI 50:01 Navigating Challenges in AI Adoption 54:32 Preparing for the Future of AI 58:24 Agentic AI Connect with Ben * Website: https://www.fullstack.com/ * LinkedIn: https://www.linkedin.com/in/bencarle/ Connect with Vit * Website: https://vitlyoshin.com/contact/ * LinkedIn: https://www.linkedin.com/in/vit-lyoshin/ * X: https://x.com/vitlyoshin Vit’s Projects * Podcast: https://www.anhourofinnovation.com/ * AI Assistant to build apps: https://appforgelab.com/

    1시간 2분
  3. How AI and Data Co-Ops Are Changing Marketing, Privacy, and Trust | Brian Perks

    9월 2일

    How AI and Data Co-Ops Are Changing Marketing, Privacy, and Trust | Brian Perks

    In this episode of An Hour of Innovation podcast, host Vit Lyoshin speaks with Brian Perks, founder and Chief Strategy Officer of Five by Five. Brian is a seasoned data strategist and entrepreneur with nearly two decades of experience in the data industry. The conversation explores how data co-ops are disrupting the traditional broker model, why “no one’s data is as good as everyone’s data,” and how real-world usage is the most effective way to validate information. The discussion also covers identity verification, fraud prevention, privacy trade-offs, and the role of AI in analyzing data, identifying patterns, and enabling precise targeting. Other highlights include insights into the future of publishing in the AI era, the balance between personalization and privacy, and why efficiency in data activation benefits both businesses and consumers. Brian Perks has held leadership roles at ZoomInfo, Bombora, and Pipl, where he specialized in data acquisition, licensing, and identity solutions. Today, as co-founder of Five by Five, he is pioneering a cooperative model that democratizes access to high-quality, continuously validated data. His entrepreneurial journey reflects a vision for disrupting outdated systems, building trust in digital ecosystems, and empowering companies of all sizes to innovate with reliable data. Widely regarded as a thought leader, Brian continues to shape conversations around data strategy, privacy, and the evolving role of AI in business. Support This Podcast To support our work, please check out our sponsors and get discounts: https://www.anhourofinnovation.com/sponsors/ Takeaways * How 5x5 Data was born out of necessity, turning an informal data exchange into a full cooperative model. * The surprising truth: “No one’s data is as good as everyone’s data.” * How billions of daily validation signals (emails, phone numbers, IPs) create a more accurate “identity graph.” * The most reliable way to validate data is to consume it in real-world use cases. * A live email address is worth more than your Social Security number on the dark web. * The trade-off between privacy and personalization, and why 70% of people actually prefer targeted ads. * Why efficiency in targeting matters: the best data isn’t a big list - it’s knowing who will actually buy. * How better targeting can reduce marketing waste and even lower product costs for consumers. * The hidden risk for publishers: AI tools are reducing their traffic by up to 90%, similar to Napster’s effect on music. * Why publishers may need a new licensing model as AI “answer engines” replace traditional search. * The limits of AI: it can accelerate data processing, but it can’t synthesize personal identifiers like emails or phone numbers. * Controlling data through brokerage stifles innovation - democratizing access enables it. * Data has no intrinsic value - it only matters in how you activate it. Timestamps 00:00 Introduction 02:29 Ads 03:45 The 5x5 Concept and Data Utilization 06:17 Understanding the Work Co-op Model 08:26 Joining the 5x5 Community 11:26 Diverse Use Cases Beyond Marketing 13:58 Ensuring Data Integrity and Privacy 15:51 Navigating Privacy Concerns 18:12 The Trade-offs of Privacy and Personalization 21:59 Efficiency in Marketing and Sales 27:37 The Impact of AI on Product Development 29:37 Challenges in AI and Data Licensing 33:12 Source of Hallucinations and Mistakes in AI 38:00 Utilizing Data for Targeting Audiences 42:47 Social Media 45:38 Application will Do More 49:37 Entrepreneurial Insights and Advice 55:33 Advice from Brian Connect with Brian * Website: https://5x5data.com/ * LinkedIn: https://www.linkedin.com/in/briangperks/ Connect with Vit * Website: https://vitlyoshin.com/contact/ * LinkedIn: https://www.linkedin.com/in/vit-lyoshin/ * X: https://x.com/vitlyoshin Vit’s Projects * Podcast: https://www.anhourofinnovation.com/ * AI Assistant to build apps: https://appforgelab.com/

    55분
  4. How Human Knowledge Powers AI: Data Quality, Bias & Blockchain Payments | Rowan Stone

    8월 24일

    How Human Knowledge Powers AI: Data Quality, Bias & Blockchain Payments | Rowan Stone

    In this episode of An Hour of Innovation podcast, host Vit Lyoshin sits down with Rowan Stone, CEO of Sapien, to explore how human knowledge powers the next generation of artificial intelligence. Together, they dive into the importance of high-quality data, the challenge of bias in AI, the role of blockchain payments in rewarding contributors, and the future balance between human input and machine learning. Rowan shares his journey from energy executive to crypto entrepreneur, building early DeFi protocols, co-creating Coinbase’s Layer 2, and eventually launching Sapien, a decentralized data platform that connects enterprises with a global network of contributors. He explains why data is the true bottleneck in AI, how Sapien incentivizes contributors from everyday people to doctors and engineers, and why human oversight remains essential even as AI becomes more advanced. Rowan Stone is a seasoned entrepreneur whose career spans energy, crypto, and AI. He co-founded multiple ventures in the blockchain space, including projects acquired by Coinbase, where he spent three years leading initiatives around stablecoins, tokenization, and Layer 2 solutions. Today, as CEO of Sapien, he focuses on sourcing and structuring human data for specialized AI models used in fields like autonomous vehicles, robotics, and healthcare. His mission is to democratize access to AI’s growth by enabling people everywhere to monetize their knowledge while ensuring enterprises get the high-quality data they need. Support This Podcast To support our work, please check out our sponsors and get discounts: https://www.anhourofinnovation.com/sponsors/ Takeaways * AI is only as smart as the quality of data it’s fed. * The true bottleneck in AI is data, not algorithms or compute. * Everyone’s knowledge, from experts to everyday people, has value for training AI. * Global diversity in data contributors is key to reducing bias in AI. * Politically correct outputs can still be factually wrong, as seen in the Viking ship AI fail. * AI can enhance doctors’ diagnostic power while creating new income opportunities. * Self-driving cars still struggle because training is highly city-specific. * Incentive systems like staking and slashing help ensure high-quality data for AI. * Stablecoin payments enable instant, global compensation for AI contributors. * Human input will always be needed to handle real-world randomness and context. Timestamps 00:00 Introduction 01:14 From Energy to Crypto: A Personal Journey 05:56 Understanding Sapien: The Decentralized Data Foundry 10:33 Quality of AI Data: What Does It Mean? 12:17 Contributors and Their Role in Data Annotation 14:13 Scaling Contributor Networks and Quality Control 20:47 Addressing Bias in AI Data 25:31 Expert Contributors: Recruitment and Qualification Process 29:28 AI as a Diagnostic Tool for Healthcare 32:03 Challenges in Autonomous Vehicle Development 35:01 The Intersection of Crypto and AI 39:32 The Future of Human Expertise in AI 43:39 The Role of Creativity in AI 48:15 Getting Started with AI Model Training Connect with Rowan * Website: https://earn.sapien.io/ * LinkedIn: https://www.linkedin.com/in/rowan-stone/ * X: https://x.com/rowanrk6 * Other: https://www.sapien.io/ Connect with Vit * Website: https://vitlyoshin.com/contact/ * LinkedIn: https://www.linkedin.com/in/vit-lyoshin/ * X: https://x.com/vitlyoshin Vit’s Projects * Podcast: https://www.anhourofinnovation.com/ * AI Assistant to build apps: https://appforgelab.com/

    50분
  5. The Future of UX in the Age of AI — And Why It Still Needs Humans! | Nick Cawthon

    8월 16일

    The Future of UX in the Age of AI — And Why It Still Needs Humans! | Nick Cawthon

    In this episode of An Hour of Innovation podcast, host Vit Lyoshin sits down with Nick Cawthon, a seasoned UX designer, researcher, and educator, to explore the evolving role of user experience in the age of AI. Nick shares insights on how UX has transformed from the early days of the internet to today’s standardized design systems, and why research remains at the heart of building products people love. We discuss the British Design Council’s Double Diamond framework, balancing qualitative and quantitative data, and how AI tools are reshaping research, prototyping, and usability testing. Nick also warns about the risks of replacing human connection in research with automated tools and why maintaining a human-centered approach is more important than ever. The conversation is filled with practical examples, including a memorable story about a taqueria that manages to juggle orders from eight different delivery apps. Nick Cawthon is the founder of Gage, a user experience consultancy, and a faculty member at the California College of the Arts, where he teaches UX and data visualization. With over two decades of experience, Nick has worked across startups and Fortune 500 companies, helping teams bridge the gap between design and development. He is known for his deep expertise in research operations, design systems, and the integration of emerging technologies into UX workflows. Passionate about both the craft and the strategy of design, Nick brings a rare mix of practical know-how and visionary thinking to the conversation. Support This Podcast To support our work, please check out our sponsors and get discounts: https://www.anhourofinnovation.com/sponsors/ Takeaways * How the iPhone and standardized design systems shifted UX from aesthetics to experience-first thinking. * Why the Double Diamond Framework is still one of the best ways to ensure you build the right thing before building it right. * Nick shares a vivid story of a taqueria struggling to manage orders from eight delivery platforms. * How blending numbers with human stories creates deeper, more persuasive insights. * How AI speeds up surveys, persona creation, and testing, but risks losing authentic human insights. * Why algorithms can’t replace empathy and genuine human connection. * The importance of moving beyond Figma handoffs to integrated design-to-code workflows. * Why modern UX designers must understand developer workflows and component libraries. * Why safeguarding data and respecting consent are essential in AI-powered design. * Why designers should preserve proven design patterns instead of reinventing the wheel. * Why moving too fast with AI-driven features can frustrate users and erode loyalty. Timestamps 00:00 Introduction 03:12 The Evolution of User Experience 06:31 Research Methodologies in UX 09:42 Starting Research: The Double Diamond Approach 12:14 The Importance of User Observation 14:30 Balancing Qualitative and Quantitative Data 18:03 AI's Impact on User Experience 19:56 The Shift from Voice to Chat Interfaces 24:00 AI and Emotional Companionship 25:13 AI's Impact on UX Research 28:52 The Future of UX Research 31:18 Skills for Emerging Designers 35:54 The Role of AI in Design 37:57 Ethics of AI and Personal Data 39:59 Innovative Tools and Methods 41:35 Designing for User Satisfaction Connect with Nick * Website: https://gauge.io/ * LinkedIn: https://www.linkedin.com/in/nickcawthon-ux-digital-agency-product-design-leadership/ * X: https://x.com/ncawthon * Other: http://nickcawthon.com/ Connect with Vit * Website: https://vitlyoshin.com/contact/ * LinkedIn: https://www.linkedin.com/in/vit-lyoshin/ * X: https://x.com/vitlyoshin Vit’s Projects * Podcast: https://www.anhourofinnovation.com/ * AI Assistant to build apps: https://appforgelab.com/

    45분
  6. AI in Supply Chain: Last Mile Delivery, Logistics and Supply Chain Management | Richard Savoie

    8월 8일

    AI in Supply Chain: Last Mile Delivery, Logistics and Supply Chain Management | Richard Savoie

    In this episode of An Hour of Innovation podcast, host Vitaliy Lyoshin sits down with Richard Savoie, co-founder and CEO of Adiona Tech, to explore how AI is driving innovation in supply chain management and transforming the future of logistics. They dive into the carbon cost of delivery and reveal why last-mile delivery is the most expensive and environmentally damaging segment in the supply chain. Richard explains how Adiona uses AI to automate route planning, optimize commercial fleets, and deliver impactful last-mile delivery optimization for enterprise clients. The conversation also covers how data, simulation, and predictive modeling play a role in cutting costs and emissions, and what the future of AI in logistics might look like. Richard shares insights from working with companies like Coca-Cola and Australia Post and offers practical lessons for leaders navigating the complexity of modern supply chain operations. Richard Savoie is an engineer, AI innovator, and the CEO of Adiona Tech, a company at the forefront of logistics and supply chain technology. With a background in manufacturing and hardware design, Richard brings a systems-thinking approach to solving high-impact challenges in transportation. His company helps large enterprises reduce delivery costs and emissions through advanced optimization algorithms and machine learning. Under his leadership, Adiona has pioneered solutions in last-mile delivery optimization, EV fleet planning, and sustainable supply chain management. Richard is also a strong advocate for using AI responsibly and effectively to build greener, more efficient infrastructure worldwide. Support This Podcast To support our work, please check out our sponsors and get discounts: https://www.anhourofinnovation.com/sponsors/ Takeaways & Insights * 53% of delivery costs and emissions happen in the last mile. * Most commercial delivery vehicles are running 40% empty. * AI is just one tool — it works best when combined with traditional optimization and constraint-based algorithms. * Adiona focuses on enterprise fleets because the sustainability impact compounds at scale. * Agentic AI will allow us to dynamically prioritize deliveries, even mid-route. * Simulation modeling is now essential for planning in a volatile world, especially with tariffs, EV rollouts, and shifting supply chains. * Adiona built the first EV routing engine in logistics, but adoption is still slow in some regions. * You may love your idea, but if no one will pay for it, it’s not a business. * Cutting emissions is not just a feel-good goal - it’s a cost-saving opportunity. * Let humans solve the edge cases, and let AI handle the repetitive work. Timestamps 00:00 Introduction 00:57 The Birth of Adiona 02:59 Technical Challenges and the Role of AI 04:30 Building a Scalable Technology Stack 06:04 Focusing on Enterprise Solutions for Sustainability 08:53 Addressing Operational Inefficiencies in Logistics 12:02 Optimizing Last Mile Deliveries 14:10 Case Studies: Success Stories in Efficiency 17:25 Government Organizations and Sustainability 20:22 Leveraging AI and Quantum Computing for Optimization 22:47 Optimizing Routes with Technology 26:17 Balancing Edge Cases and General Solutions 29:50 The Human Element in Automation 32:15 Future Breakthroughs in Logistics 36:45 Opportunities in Air or Sea Logistics 38:04 Regulatory Challenges in Technology Adoption 41:23 Lessons Learned as an Entrepreneur 45:06 Unexpected Uses of Technology 47:48 Future Innovations on the Horizon Connect with Richard Website: https://www.adionatech.com/ LinkedIn: https://www.linkedin.com/in/richsavoie/ Connect with Vit Website: https://vitlyoshin.com LinkedIn: https://www.linkedin.com/in/vit-lyoshin/ X: https://x.com/vitlyoshin Vit’s Projects Podcast: https://www.anhourofinnovation.com/ AI Assistant to build apps: https://appforgelab.com/

    51분
  7. DevOps with AI! Transforming Cloud Workflows and Reducing Waste | Ardhendu Tripathy

    7월 31일

    DevOps with AI! Transforming Cloud Workflows and Reducing Waste | Ardhendu Tripathy

    In this episode of An Hour of Innovation podcast, host Vitaliy Lyoshin dives into the future of DevOps with a compelling question: What if AI could not only streamline your cloud workflows but also uncover hidden costs and inefficiencies you didn’t know existed? Vitaliy is joined by Ardhendu Tripathy, AI Lead at OpsCanvas and former assistant professor specializing in statistical machine learning. Together, they explore how OpsCanvas is using AI to transform cloud infrastructure management—optimizing deployments, reducing cloud waste, and empowering DevOps teams with better visibility and control. The conversation also touches on the challenges of applying AI responsibly in DevOps, the importance of guardrails, and what the future holds for AI-powered developer tools. Ardhendu, or “Ardi,” brings a deep academic background in machine learning and decision-making algorithms, previously teaching and researching at Missouri S&T. At OpsCanvas, he now leads AI initiatives that simplify DevOps workflows and improve infrastructure efficiency. His work bridges the gap between cutting-edge AI research and practical, real-world applications. Passionate about innovation, Ardi is helping redefine how teams deploy, monitor, and scale applications in the cloud. Support This Podcast To support our work, please check out our sponsors and get discounts: https://www.anhourofinnovation.com/sponsors/ Takeaways * OpsCanvas addresses cloud sprawl by providing visibility into resources. * The platform helps identify and eliminate unused cloud resources, termed 'zombie resources.' * AI can enhance DevOps efficiency, but it must be used responsibly. * Client reactions often reveal a lack of visibility into their cloud usage. * Implementing AI in DevOps faces challenges, including data privacy concerns. * Automation in DevOps is possible, but it will take time to fully realize. * Future developments may enable more seamless deployments with AI assistance. * AI's capabilities are improving, but it is not yet fully intelligent. * Understanding AI's limitations is crucial for effective use in software engineering. Timestamps 00:00 Introduction 01:58 Journey from Academia to a Startup 03:00 What is OpsCanvas 05:46 Understanding Cloud Sprawl and Resource Management 10:15 Benefits of OpsCanvas 14:25 Who Would Benefit the Most from Using OpsCanvas 16:05 Leveraging AI for Enhanced DevOps Efficiency 21:33 What Users Say After Using OpsCanvan For the First Time 23:24 Challenges Implementing AI 29:17 The Role of AI Agents in DevOps 32:41 Ethical Considerations in AI Implementation 37:25 Future Innovations in DevOps Automation 41:17 Excitement and Challenges in AI-Driven Development 44:22 Navigating Rapid AI Developments 48:23 Misconceptions About AI in DevOps Connect with Ardihendu * Website: https://www.opscanvas.com/ * LinkedIn: https://www.linkedin.com/in/ardhendu-tripathy/ Connect with Vit * Website: https://vitlyoshin.com/contact/ * LinkedIn: https://www.linkedin.com/in/vit-lyoshin/ * X: https://x.com/vitlyoshin Vit’s Projects * Podcast: https://www.anhourofinnovation.com/ * Company: https://appforgelab.com/

    54분
  8. From Toxic Culture to Trusted Leadership! 10 Rules for Building High-Performing Team | Kyle McDowell

    7월 24일

    From Toxic Culture to Trusted Leadership! 10 Rules for Building High-Performing Team | Kyle McDowell

    In this episode of An Hour of Innovation podcast, host Vit Lyoshin sits down with Kyle McDowell, a former Fortune 10 executive turned leadership coach and author of Begin With WE. They discuss what's broken in traditional leadership, the toxic behaviors that erode workplace culture, and Kyle's powerful framework, the 10 WE Principles, designed to build trust, accountability, and high-performance teams. Kyle McDowell spent nearly three decades leading large organizations. Disillusioned with ego-driven leadership and performative culture, he stepped away to redefine what it means to lead with integrity. Today, he coaches leaders around the world, helping them transform their teams through principle-based leadership. His book “Begin With WE: 10 Principles for Building and Sustaining a Culture of Excellence” has become a USA Today and Wall Street Journal bestseller, inspiring a growing movement of values-driven leadership. Support This Podcast If you want privacy, security, and complete online freedom, GoLogin is the tool you need. Try GoLogin for free today: https://bit.ly/gologin_an-hour-of-innovation Use VIT40 promo code when you sign up Takeaways * Kyle's journey reflects a common struggle with corporate leadership. * Self-reflection is crucial for effective leadership. * Toxic workplace behavior can lead to apathy and disengagement. * Leading by example is essential for building trust. * The 10 principles of leadership can transform workplace culture. * Embracing challenge is key to personal and team growth. * Measuring outcomes, not activity, drives real progress. * Authenticity in leadership fosters loyalty and commitment. * The future of leadership will require adaptability to new technologies. * Personal connections in the workplace are more important than ever. Timestamps 00:00 Introduction 03:04 The Journey from Apathy to Purposeful Leadership 06:18 Establishing Leadership Principles 10:21 Challenges in Implementing Leadership Principles 14:06 The Importance of Commitment Over Compliance 15:46 Realizing the Effectiveness of Leadership Principles 18:22 The 10 Principles of Leadership 26:07 Measuring Success by Outcomes 28:13 The Importance of Self-Reflection in Leadership 31:58 Understanding Leadership Impact 34:55 Leading Without Authority 37:55 Generational Differences in Leadership 43:41 The Future of Leadership in an AI World 44:50 Choosing to Lead Differently 46:37 How to Connect with Kyle Connect with Kyle * Website: https://kylemcdowellinc.com/ * LinkedIn: https://www.linkedin.com/in/kylemcdowellinc/ * X: https://x.com/KyleMcDowellInc * YouTube: https://www.youtube.com/@kylemcdowellinc * Instagram: https://www.instagram.com/kylemcdowellinc/ * Facebook: https://www.facebook.com/KyleMcDowellInc * Tik-Tok: https://www.tiktok.com/@kylemcdowellinc Connect with Vit * Website: https://vitlyoshin.com/contact/ * LinkedIn: https://www.linkedin.com/in/vit-lyoshin/ * X: https://x.com/vitlyoshin * Buy things on Amazon that Vit recommends: https://www.amazon.com/shop/anhourofinnovationwithvitlyoshin Podcast Website * https://www.anhourofinnovation.com/

    49분
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An Hour of Innovation is hosted by Vit Lyoshin, a technology professional with a product development, and program leadership background. Each episode explores the art and science of innovation through conversations with product leaders, scientists, and innovators. We dive into groundbreaking ideas, uncovering the why and how behind them. The goal is to amplify the voices of those driving change, offering insights, inspiration, and practical takeaways to spark listeners’ creativity and passion for progress. Welcome, and enjoy!

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