In this episode of the Leadership Exchange, Rob Ocel and Elliott Fouts sit down with Dorren Schmitt to unpack what it actually takes to lead AI transformation inside a large organization. Drawing from Allen Media Group’s early adoption journey, Dorren shares how her team approached generative AI long before most enterprises had clear strategies in place and why successful adoption depends far more on people, process, education, and organizational alignment than the technology itself.

The conversation explores practical realities many companies are now facing: employee resistance, AI governance, executive buy-in, budgeting for AI initiatives, workflow redesign, security risks tied to autonomous agents, and the growing importance of cross-functional innovation committees. Dorren explains why organizations need to rethink how they fund and evaluate AI projects, comparing them more closely to venture capital investments than traditional IT initiatives, while also emphasizing the importance of measurable short-term wins alongside long-term transformation goals.

They also dive into the evolving role of human oversight in AI-driven systems, the risks of automating flawed processes, and why companies that ignore AI entirely may struggle to remain competitive over the next decade. Along the way, Dorren shares lessons from implementing AI across media, finance, operations, creative teams, and enterprise workflows, while introducing the core ideas behind her new book, The AI Production Playbook.

In this episode, you’ll learn:

- Why successful AI adoption depends more on people, process, and education than the technology itself

- How enterprise teams can structure AI governance, innovation committees, and cross-functional collaboration

- Why many AI projects fail and how organizations should rethink budgeting, ROI, and long-term investment strategies

- The risks of automating flawed workflows and why human oversight still matters in AI systems

- How companies can responsibly scale AI across engineering, finance, operations, HR, and creative teams

Rob Ocel on Linkedin: https://www.linkedin.com/in/robocel/

Elliott Fouts on Linkedin: https://www.linkedin.com/in/elliott-fouts/

Dorren Schmitt, PhD: https://www.linkedin.com/in/dorren-schmitt-ph-d/

This Dot Labs Twitter: https://x.com/ThisDotLabs

This Dot Media Twitter: https://x.com/ThisDotMedia

This Dot Labs Instagram: https://www.instagram.com/thisdotlabs/

This Dot Labs Facebook: https://www.facebook.com/thisdot/

Sponsored by This Dot Labs: https://ai.thisdot.co/

Chapters

00:00 AI Transformation at Allen Media Group

03:11 Overcoming Fear and Building Employee Adoption

07:38 Creating AI Champions and Innovation Culture

10:16 Why AI Transformation Goes Beyond Engineering

15:14 Funding AI Like a Venture Capital Portfolio

19:14 Measuring Success and Building an Effective Innovation Committee

24:36 Balancing Quick Wins with Long-Term AI Transformation

27:27 Process Optimization, Human-in-the-Loop, and AI Maturity

32:00 Security Risks, Agent Identity, and Governance at Scale

37:40 The AI Production Playbook and the Five Pillars of AI Transformation

40:39 Why Every Organization Needs an AI Strategy

AI Workshop Series from This Dot Labs: https://ai.thisdot.co/workshops

Use Code THISDOTX at Checkout for $50 tickets!

Tracy Lee sits down with seasoned CIO and AI executive Trude Van Horn, SVP & CIO at Cien.ai to unpack what it really takes for organizations to navigate the shift into AI-driven work.Drawing from decades of experience across industries, Trude shares why business leaders can’t afford to sit on the sidelines and how getting hands-on with AI is now a leadership responsibility, not just a technical one. The conversation explores practical ways to start, from creating safe environments for experimentation to empowering “citizen developers” across the organization.They also get into the realities most teams are facing: stalled AI projects, shifting bottlenecks across workflows, rising pressure on mid-level managers, and the growing need for trust, transparency, and guardrails. Along the way, they highlight what actually works, starting small, focusing on measurable outcomes, and bringing the entire organization along for the journey.What you will learn:- Leaders need to actively use and experiment with AI themselves instead of relying only on technical teams- Starting with small, measurable projects helps build confidence and momentum for broader adoption- Faster engineering output shifts bottlenecks to other parts of the organization like product, QA, and leadership- Enabling non-technical team members to participate drives better ideas and more impactful outcomes- Change management, trust, and realistic expectations are critical to successfully adopting AI across teamsTracy Lee on Linkedin: https://www.linkedin.com/in/tracyslee/Trude Van Horn on Linkedin: https://www.linkedin.com/in/gertrudevanhorn/This Dot Labs Twitter: https://x.com/ThisDotLabsThis Dot Media Twitter: https://x.com/ThisDotMediaThis Dot Labs Instagram: https://www.instagram.com/thisdotlabs/This Dot Labs Facebook: https://www.facebook.com/thisdot/Sponsored by This Dot: https://ai.thisdot.co/

Tracy Lee sits down with Søren Bramer Schmidt and Will Madden from Prisma to unpack what’s changed with the launch of Prisma 7 and where they’re headed next. They talk about why Prisma is intentionally moving away from Rust and doubling down on TypeScript, how that simplifies the ORM’s architecture, speeds up community contributions, and makes features like better Cloudflare support and Prisma Postgres possible. The conversation also covers agentic software development, what an “agent-friendly” ORM should look like for Prisma 8, and how LLMs are already reshaping developer productivity, documentation, and education. They also dig into what this means for junior developers, CS fundamentals, and the future role of engineers as architects and “agent managers” instead of just coders.What you will learn in this episode:- Why Prisma 7 is a turning point: simplifying a complex Rust/TS architecture so Prisma can finally ship faster and respond to community feedback.- The big bet to move away from Rust and fully into TypeScript, and why that actually makes more sense for a database ORM and open source contributors.- How Prisma is redesigning itself for AI agents and agentic workflows, better error messages, docs, MCP servers, and fast feedback loops that work for both humans and agents.- What Prisma is building around Prisma Postgres + local WASM Postgres to create a super low-friction “from local dev to hosted” database experience.- How AI is changing developer roles, hiring, and education, from junior devs being replaced by agents to a bigger emphasis on architecture and patterns over raw coding.Tracy Lee on Linkedin: https://www.linkedin.com/in/tracyslee/Søren Bramer Schmidt on Linkedin: https://www.linkedin.com/in/sorenbs/Will Madden on Linkedin: https://www.linkedin.com/in/willmadden/This Dot Labs Twitter: https://x.com/ThisDotLabsThis Dot Media Twitter: https://x.com/ThisDotMediaThis Dot Labs Instagram: https://www.instagram.com/thisdotlabs/This Dot Labs Facebook: https://www.facebook.com/thisdot/This Dot Labs Bluesky: https://bsky.app/profile/thisdotlabs.bsky.socialSponsored by This Dot: https://ai.thisdot.co/

Southwest Airlines Managing Director of Technology Priya Narayan joins Tracy Lee to unpack what it takes to lead engineering in a highly regulated, zero downtime environment. Priya traces her path from engineer to leader, balancing safety, union timelines, and customer experience while shipping change at scale. She breaks down mobile first product strategy for pilots and flight attendants, how Southwest runs Scaled Agile with innovation sprints, and the tactics for building high performing, cross functional teams that mix deep domain experts with fresh technical talent. If you lead engineers or aspire to, this is a pragmatic playbook for quality under pressure, communication growth for introverts, and making innovation a priority when deadlines will not move.What You’ll Learn:• Moving from individual contributor to leader through mentoring and business context• Leading in regulated and union environments without hurting customer or employee experience• Structuring Scaled Agile with an innovation sprint that actually ships• Building high performing teams by mixing domain experts and strong technologists• Using crew alpha and beta testing to harden quality before wide rollout• Designing mobile first tools for crews who work on the move• Communication habits that help introverted leaders be heard

Chapters:

0:00 Balancing innovation in regulated settings

1:32 Priya’s path to MD at Southwest

10:03 What regulation means for airlines

14:01 Building high performing crew tech teams

17:28 Scaled Agile and innovation sprints

21:56 Cross functional roles and testing with crew

27:49 Mobile first design for crew and closingTracy Lee on Linkedin: https://www.linkedin.com/in/tracyslee/Priya Narayan on Linkedin: https://www.linkedin.com/in/priyanarayantechseniorleader/This Dot Labs Twitter: https://x.com/ThisDotLabsThis Dot Media Twitter: https://x.com/ThisDotMediaThis Dot Labs Instagram: https://www.instagram.com/thisdotlabs/This Dot Labs Facebook: https://www.facebook.com/thisdot/This Dot Labs Bluesky: https://bsky.app/profile/thisdotlabs.bsky.socialSponsored by This Dot Labs: ai.thisdot.co

In this episode of Leadership Exchange, Danny Thompson talks with Rossella Vital, VP of Engineering at Sprout Social. They map the shift from building single models to designing intelligent systems with agents, evaluation loops, and strong data governance. The conversation covers how roles are changing for data scientists, analysts, engineers, and product managers, what enablement looks like inside a company wide AI platform, and why leadership structures are adapting with the rise of the Chief AI Officer. You will also hear practical advice on prototyping for executive buy in and the skills that help teams stay relevant.What you will learn • Architecting intelligent systems with agents and evaluation • Judgment and validation to manage hallucinations • Data quality and governance as a prerequisite for agent workflows • How AI product managers operate and what they must own • Practical prototyping to clarify strategy for executives • Why leadership is evolving toward a Chief AI Officer

Chapters

00:00 Intro

03:00 Role shifts for data scientists and engineers

06:08 Inflection point with LLMs and agents

08:31 Expertise, hallucinations, treat AI like a teammate

12:25 From single models to intelligent systems and evaluation

16:42 Enablement platforms to scale AI across teams

18:26 Agentic analysts plus data quality and governance

31:41 The Chief AI OfficerDanny Thompson on Linkedin: https://www.linkedin.com/in/dthompsondev/Rossella Blatt Vital on Linkedin: https://www.linkedin.com/in/rossellavital/This Dot Labs Twitter: https://x.com/ThisDotLabsThis Dot Media Twitter: https://x.com/ThisDotMediaThis Dot Labs Instagram: https://www.instagram.com/thisdotlabs/This Dot Labs Facebook: https://www.facebook.com/thisdot/This Dot Labs Bluesky: https://bsky.app/profile/thisdotlabs.bsky.socialSponsored by This Dot Labs: https://ai.thisdot.co/

In this episode of Leadership Exchange, Tracy Lee welcomes Tom Occhino, Chief Product Officer at Vercel and former leader of the React team at Meta. Tom shares the story of React’s early days, how incremental adoption and escape hatches gave it an edge, and why simplifying concepts was always more important than adding new features. He reflects on building a culture of humility and openness in open source, as well as the strengths-based management approach he still applies at Vercel. The discussion explores how Vercel maintains speed through lightweight programs instead of heavy processes and how the team embraces mistakes as long as they bring new learning.

Tom explains how he measures success by customer outcomes rather than vanity metrics and why his role is about empowering people who drive technology forward.Four key points from this episode- React’s success came from incremental adoption and escape hatches that made it easier to use than other frameworks.- Strengths-based leadership, humility, and giving more credit than you take shaped both the React org and Vercel’s culture.- Vercel ships fast by using lightweight “tell first, then ship” programs and treating novel incidents as learning opportunities.- The long-term vision is to keep the open web as the most important platform, with React, Next.js, and Vercel driving its future. Tom Occhino on Linkedin: https://www.linkedin.com/in/tomocchino/Tracy Lee on Linkedin: https://www.linkedin.com/in/tracyslee/This Dot Labs Twitter: https://x.com/ThisDotLabsThis Dot Media Twitter: https://x.com/ThisDotMediaThis Dot Labs Instagram: https://www.instagram.com/thisdotlabs/This Dot Labs Facebook: https://www.facebook.com/thisdot/This Dot Labs Bluesky: https://bsky.app/profile/thisdotlabs.bsky.socialSponsored by This Dot Labs: https://ai.thisdot.co

In this episode of Leadership Exchange, Tracy Lee welcomes Tom Occhino, Chief Product Officer at Vercel and former leader of the React team at Meta. Tom shares the story of React’s early days, how incremental adoption and escape hatches gave it an edge, and why simplifying concepts was always more important than adding new features. He reflects on building a culture of humility and openness in open source, as well as the strengths-based management approach he still applies at Vercel. The discussion explores how Vercel maintains speed through lightweight programs instead of heavy processes and how the team embraces mistakes as long as they bring new learning. Tom explains how he measures success by customer outcomes rather than vanity metrics and why his role is about empowering people who drive technology forward.

Four key points from this episode:

- React’s success came from incremental adoption and escape hatches that made it easier to use than other frameworks.

- Strengths-based leadership, humility, and giving more credit than you take shaped both the React org and Vercel’s culture.

- Vercel ships fast by using lightweight “tell first, then ship” programs and treating novel incidents as learning opportunities.

- The long-term vision is to keep the open web as the most important platform, with React, Next.js, and Vercel driving its future.

Chapters

0:00 React’s role in keeping the web open

0:40 Host and guest introduction

3:05 How React started at Facebook

5:00 Why React overtook other frameworks

12:00 Balancing features with simplicity

17:02 Transition to Vercel and leadership lessons

22:12 Measuring impact and community adoption

25:21 Guiding people who guide technology

28:31 Leadership principles and team culture

37:03 Vision for the open web in the next decade

38:48 Upcoming Next.js Conf and Ship AI

39:26 Closing and sign-off

Tom Occhino on Linkedin: https://www.linkedin.com/in/tomocchino/

Tracy Lee on Linkedin: https://www.linkedin.com/in/tracyslee/

This Dot Labs Twitter: https://x.com/ThisDotLabs

This Dot Media Twitter: https://x.com/ThisDotMedia

This Dot Labs Instagram: https://www.instagram.com/thisdotlabs/

This Dot Labs Facebook: https://www.facebook.com/thisdot/

This Dot Labs Bluesky: https://bsky.app/profile/thisdotlabs.bsky.social

Sponsored by This Dot Labs: https://ai.thisdot.co

In this episode of the Leadership Exchange podcast, Tracy Lee sits down with Rich Walker, CEO of Quick, to explore the intersection of entrepreneurship, AI, and modern software development. Rich shares his unconventional journey from a finance graduate and self-taught coder to leading an enterprise SaaS company, highlighting how he leveraged AI agents like Claude to build a fully functional, enterprise-grade product in record time.They explore the mindset shift required to integrate AI into business, treating it as a collaborative expert rather than a junior assistant, and how this approach can transform productivity, coding efficiency, and innovation. Rich also discusses his philosophy as a product-oriented CEO who is not afraid to get hands-on, and how AI is enabling leaders and teams to rethink their roles and scale their impact. Rich also gives insights into his podcast Customer Wins, where he explores how business leaders create exceptional customer experiences.Keypoints from this episode:- Rich Walker, a non-traditional technologist, leveraged AI agents like Claude to build a fully functional, enterprise-grade web application, handling everything from databases to dashboards.- He treats AI as a collaborative expert rather than a junior developer, using iterative planning, unit-of-work breakdowns, and business-driven prompts to achieve high efficiency.- Integrating AI requires a mindset shift for leaders, focusing on orchestration, product vision, and problem-solving rather than hands-on coding, elevating both individual and team impact.- Clear and detailed business plans, implementation strategies, and structured prompts allow AI to understand requirements, optimize processes, and deliver results aligned with business goals.Rich Walker on Linkedin: https://www.linkedin.com/in/quikformsceo/Tracy Lee on Linkedin: https://www.linkedin.com/in/tracyslee/This Dot Labs Twitter: https://x.com/ThisDotLabsThis Dot Media Twitter: https://x.com/ThisDotMediaThis Dot Labs Instagram: https://www.instagram.com/thisdotlabs/This Dot Labs Facebook: https://www.facebook.com/thisdot/This Dot Labs Bluesky: https://bsky.app/profile/thisdotlabs.bsky.socialSponsored by This Dot Labs: https://ai.thisdot.co

On this episode of the Leadership Exchange, Rob Ocel talks with Ivan Burazin, co-founder and CEO of Daytona. Ivan shares how his company is building “computers for agents,” what he’s learned from years of developer tooling and event organizing, and why trust, context, and long-term relationships matter more than chasing star résumés. They also dig into cultural differences in engineering talent and what it really takes to grow a resilient team in the AI era.

Key Points from this Episode:

• Daytona is building infrastructure that gives AI agents workspaces similar to how a MacBook serves a human.

• Strong teams form through trust, shared context, and long-term relationships rather than stacking résumés with big names.

• Eastern Europe has exceptional engineering talent but often lacks emphasis on sales, branding, and communication.

• Experience organizing developer conferences built a network that continues to fuel Daytona’s growth.
  

Ivan Burazin on Linkedin: https://www.linkedin.com/in/ivanburazin/

Rob Ocel on Linkedin: https://www.linkedin.com/in/robocel/

Danny Thompson on Linkedin: https://www.linkedin.com/in/dthompsondev/

This Dot Labs Twitter: https://x.com/ThisDotLabs

This Dot Media Twitter: https://x.com/ThisDotMedia

This Dot Labs Instagram: https://www.instagram.com/thisdotlabs/

This Dot Labs Facebook: https://www.facebook.com/thisdot/

This Dot Labs Bluesky: https://bsky.app/profile/thisdotlabs.bsky.social

Sponsored by This Dot Labs: https://ai.thisdot.co

In this episode of Leadership Exchange, host Rob Ocel speaks with Alfredo Lopez, VP of Engineering at Hearst, about what it really takes for leaders to guide their organizations through AI adoption. Alfredo shares insights from more than a decade at Hearst on how engineering leadership has evolved, from balancing startup urgency with long term stability to knowing when not to solve problems with code. Together they explore the cultural shifts needed for AI readiness: why context matters more than prompts, how process discipline separates hype from meaningful results, and why leaders must help teams break down work into smaller, repeatable tasks that AI can accelerate.

Key points from this episode:

- AI adoption is a cultural shift, not just a technical one, requiring leaders to focus on communication, context, and process discipline.

- The quality of AI outputs depends more on context and documentation than on prompts alone.

- AI is most effective when applied to small, structured tasks that build momentum rather than tackling complex features in one step.

- Leaders play a critical role in setting the tone for sustainable AI transformation by modeling clarity, investing in documentation, and raising expectations for process discipline.

Alfredo Lopez on Linkedin: https://www.linkedin.com/in/lfredo/

Rob Ocel on Linkedin: https://www.linkedin.com/in/robocel/

This Dot Labs Twitter: https://x.com/ThisDotLabs

This Dot Media Twitter: https://x.com/ThisDotMedia

This Dot Labs Instagram: https://www.instagram.com/thisdotlabs/

This Dot Labs Facebook: https://www.facebook.com/thisdot/

This Dot Labs Bluesky: https://bsky.app/profile/thisdotlabs.bsky.social

Sponsored by This Dot Labs: https://ai.thisdot.co/