MindMakers

Sendbird

MindMakers is a podcast about the architects of artificial intelligence. Hosted by Sendbird CEO John Kim, it features conversations with the founders and executives turning ambitious visions into transformative technologies. These are the leaders reimagining how we communicate, create, and connect in an age of intelligent machines. From startup ideas to tech revolutions, MindMakers offers a clear lens into the minds behind AI—and the choices that define the future.

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  1. How TwelveLabs Helps Enterprises Transform Video Content Into Competitive Edge

    12월 16일

    How TwelveLabs Helps Enterprises Transform Video Content Into Competitive Edge

    What will unlock real-world AI beyond chatbots and copilots? On this episode of MindMakers, host John Kim speaks with Jae Lee, CEO and Co-Founder of TwelveLabs, to explore how video is defining the next wave of artificial intelligence. Drawing from his background as a cybersecurity leader in the Korean military and his work pioneering video understanding models, Jae shares how TwelveLabs is building infrastructure for what they call video superintelligence. You’ll hear how enterprises across industries such as media, sports, and defense are using TwelveLabs to index petabytes of video and unlock semantic search, highlight generation, and autonomous analysis.  Jae also shares why they had to build their own inference stack from scratch, how they think about long-term memory in multimodal systems, and what makes video the richest and most underutilized data source in AI today.  If you’re building AI infrastructure, leading digital transformation, or preparing your organization for agentic workflows, this episode offers an inside look at the technical and strategic challenges behind enterprise-scale video intelligence. — Guest Bio Jae Lee is the visionary Co-Founder and CEO of TwelveLabs, an industry-leading AI company transforming video search and understanding. Under his leadership, TwelveLabs has pioneered the development of advanced multimodal video foundation models that empower businesses and developers to extract deep, context-rich insights from video content with near-human intelligence. Harnessing cutting-edge generative AI and machine learning technologies, TwelveLabs is redefining next-generation video processing, retrieval, and interactive question-answering capabilities. By seamlessly integrating visual, audio, and textual data, their models capture the full spectrum of meaning embedded in video content—setting a new standard for scalable, personalized and intelligent video experiences across media, security, sports analytics, and enterprise intelligence. Jae also serves on the board of the Republic of Korea Foundation Model Association, collaborating with influential leaders from South Korea's largest conglomerates, including Samsung, SK, and LG, to shape the future of AI. He holds a BSc in Electrical Engineering and Computer Science from UC Berkeley. — Guest Quote “We need to really ask ourselves: what can humans uniquely do? I think this tech will probably help us understand who we are better. Because we need to know what we are uniquely good at, what we are uniquely capable of doing, to find something that can’t be displaced. It’s a deeper challenge for humanity.” — Time Stamps   00:00 Episode Start 01:00 Jae's background and early career 04:45  The idea that sparked TwelveLabs 07:30 Why video models are so powerful 11:20 Real world applications of TwelveLabs 14:00 Building your own infrastructure 17:45 Unlocking productivity across industries 21:05 TwelveLabs’ workflow 23:30 Hiring top talent to scale your teams 28:25 Driving adoption in regulated sectors 34:00 How to stay ahead in the world of AI 36:00 Where to build the best tech 38:15 The future of TwelveLabs 41:00 Clearing up misconceptions 45:00 Jae's Human Prompt — Links Connect with Jae Lee on LinkedInCheck out TwelveLabsConnect with John Kim on LinkedInCheck out Sendbird Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    51분
  2. How the Founder of Coactive AI Is Bridging the Gap Between Human and Machine

    12월 2일

    How the Founder of Coactive AI Is Bridging the Gap Between Human and Machine

    What if your most valuable data isn’t in text, but in images, video, and audio you can’t yet search? On this episode of MindMakers, host John Kim is joined by Cody Coleman, CEO and Co-Founder of Coactive AI, to explore how enterprises can finally make sense of their image, video, and audio content.  Coactive AI was born ahead of the AI revolution in 2021, and their platform can instantly search, organize, and analyze unstructured visual content to help businesses make faster, better decisions. While most of the AI world today is still focused on text, Cody and the team have their eyes set on the future. Cody shares how his journey from foster care to Stanford and Silicon Valley shaped his belief in accessible, impactful technology. He and John dive into the untapped potential of unstructured data, why multimodal AI demands new tools, and how companies like Comcast, Fandom, and Thomson Reuters are turning visual content into searchable, actionable intelligence. If you're working with rich media, rethinking AI infrastructure, or searching for signals in a sea of content, this episode reveals what it really takes to operationalize visual-first AI. — Guest Bio Cody Coleman is the Co-Founder and CEO of Coactive AI. He is also a Co-Creator of DAWNBench and MLPerf, a founding member of MLCommons, and his work spans developing standards and benchmarks for high-performance deep learning to data-centric AI. He holds a PhD in Computer Science from Stanford and MEng and BS degrees in Electrical Engineering and Computer Science from MIT. — Guest Quote “The pace of the field is only going to accelerate. We're only going to continue to see more improvements in foundation models and multimodal AI. That’s why we designed the system to be model agnostic, so people can ride that wave of progress instead of getting locked into any one approach. We want them to keep up, not fall behind.” — Time Stamps   00:00 Episode Start 01:30 Cody's unconventional path to Silicon Valley 06:25 Blurring of digital & physical worlds 08:55 Early exposure to machine learning and AI 13:10 The inspiration that led to Coactive AI 16:40 Who benefits most from multimodal tech 20:50 Balancing your product for a wide range of technical abilities 26:25 Coactive AI's value prop 28:40 The potential when you move beyond text 34:35 Innovating ahead of the curve 41:00 Connecting storytelling to AI 45:15 Ensuring your AI projects bring ROI 50:20 Cody's Human Prompt — Links Connect with Cody Coleman on LinkedInCheck out Coactive AIConnect with John Kim on LinkedInCheck out Sendbird Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    1시간
  3. How Augment Code is Redefining Developer Velocity with AI

    11월 11일

    How Augment Code is Redefining Developer Velocity with AI

    What’s really driving the next leap in AI for software development? On this episode of MindMakers, host John Kim sits down with Guy Gur-Ari, the Co-Founder of Augment Code, to unpack why the future of enterprise engineering isn’t just AI-generated code, it’s agentic systems that understand context at scale. Guy shares how Augment is helping large teams move beyond code completions into autonomous workflows, from feature builds to production incident response. You’ll hear why adoption isn’t just a tooling challenge but a behavioral shift, what most leaders misunderstand about “vibe coding,” and how the right context engine changes everything. Whether you’re deploying AI across a legacy codebase or rethinking developer velocity with agents, this conversation offers sharp insight into the real opportunities and hidden obstacles enterprises face ahead. — Guest Bio Guy co-founded Augment Code after a stint at Google where he led a research team that focused on understanding and improving deep learning systems. He holds a Ph.D in theoretical physics from the Weizmann Institute of Science. — Guest Quote “As the cost of code generation goes to zero, do we still live in a world where you need one company to build an app for millions of users to use, or can it become a lot more customizable? Maybe I can now create my own apps, or maybe take some sort of template of an app, but do a lot of customization on it to suit exactly my needs.” — Time Stamps   00:00 Episode start 01:05 Augment Code's Origins 02:20 The new age of AI coding assistants 05:05 How Augment Code stands out 09:25 Overcoming developer hesitations 14:30 Staying ahead in a rapidly evolving industry 19:20 Tackling security risks 28:05 What's next with agentic platforms 40:05 Largest misconception about vibe coding 43:25 Changing mindsets 45:40 Guy's Human Prompt — Links Connect with Guy Gur-Ari on LinkedInCheck out Augment CodeConnect with John Kim on LinkedInCheck out Sendbird Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    50분
  4. Reltio’s CEO & Founder on Turning Data Chaos Into AI Advantage

    10월 28일

    Reltio’s CEO & Founder on Turning Data Chaos Into AI Advantage

    What’s holding back widespread, successful AI adoption? Today on MindMakers, host John Kim is joined by the CEO, Founder and Chairman of Reltio, Manish Sood, to explore how the real unlock isn’t just better models, but better data. Having founded Reltio in 2011, Manish shares how Reltio went from solving data sprawl to powering real-time Agentic AI at global scale. You’ll hear how companies like Liberty Mutual are using unified data to cut call response times from seconds to milliseconds and why speed must be priority number one in this ecosystem.  John and Manish also discuss what most enterprise buyers get wrong about AI, why customer collaboration is critical for finding your next use case, and what the future of SaaS looks like now that AI tools are being leveraged across the globe.  If you're building B2B AI, leading digital transformation, or trying to get real ROI from enterprise workflows, this episode is full of hard-won insights from the front lines. — Guest Bio Manish is the CEO, Founder and Chairman of Reltio, the first cloud-native, software-as-a-service (SaaS) data platform. An entrepreneur with a vision of the big-picture ways data can drive business and industry transformations, Manish founded Reltio in 2011 to help organizations accelerate the value of their data and deliver on business outcomes. Since its inception, Manish has led Reltio’s evolution from the concept stage to a high-growth company with more than $150 million in annual revenue. Manish previously led product strategy and management for the Master Data Management (MDM) platform at Informatica and Siperian. During his career, Manish has architected some of the largest and most widely used data management solutions used by most Fortune 500 companies today. Manish holds a bachelor’s degree in mechanical engineering from Andhra University College of Engineering. — Guest Quote “Time is going to be the only moat. So who can move faster? If anything was described as a software problem, given enough time you could solve it. But now those timeframes are going to get compressed dramatically as compared to what we have seen before.” – Manish Sood — Time Stamps   00:00 Episode start 01:05 Reltio's beginnings 04:55 The rise of Agentic AI 07:15 How Reltio connects data within the enterprise 10:00 Focusing on ROI amidst all the hype 12:15 Humans in the loop 15:40 Unexpected effects of AI adoption 19:30 Misconceptions Manish sees in the market 23:30 Overcoming fears and hurdles 28:20 Acting as an AI advisor 30:30 Is SaaS dead? 38:35 The future of UI with AI 41:35 Manish's thoughts on the future 44:30 Lessons from Reltio's scale 47:10 Manish's Human Prompt — Links Connect with Manish Sood on LinkedInCheck out ReltioConnect with John Kim on LinkedInCheck out Sendbird Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    50분
  5. Moveworks’ Founder & CEO Bhavin Shah on Speed, Scale, & Surviving the Hype Cycle

    10월 14일

    Moveworks’ Founder & CEO Bhavin Shah on Speed, Scale, & Surviving the Hype Cycle

    With every new startup announcement containing “AI” somewhere in the headline, how do you build a differentiated product that stands the test of time? In this episode of MindMakers, host John Kim sits down with Bhavin Shah, CEO & Founder of Moveworks, for a thought provoking discussion on what it really takes to move beyond hype and into real business transformation.  Bhavin shares the evolution of Moveworks, from its origins as a narrow IT help desk solution to the full-fledged AI agentic platform it is today. He walks through the technical and strategic inflection points that unlocked growth and proved stickiness, from early statistical models to the game-changing impact generative AI. But what really sets this conversation apart is Bhavin’s view on the business discipline behind the tech. Together, John and Bhavin unpack why AI doesn’t just accelerate workflows, it accelerates the market itself. In today’s environment, startups no longer have five years to figure things out as AI forces a faster reckoning. You either prove product-market fit early and build real distribution, or the window closes. Whether you're building in B2B SaaS, navigating the AI hype cycle, or trying to future-proof your organization, this episode is packed with strategic insight on what it takes to build AI that sticks and scales. — Guest Bio Bhavin Shah has spent 25+ years taking companies from inception to scale. Prior to Moveworks, he was CEO of Refresh.io, which was acquired by LinkedIn in 2015. He has an MA in Education, Technology & Business from Stanford University and a BS in Computer Science from UCSD. — Guest Quote “People think founding a company is about being a visionary. On some level it is, but most of it's execution. You can't have the right to think big unless you can execute in a local fashion. That’s how you earn the right to scale.” – Bhavin Shah — Time Stamps   00:00 Episode start 02:15 Moveworks’ evolution from IT help desk to AI agent platform 06:45 Solving messy problems at scale 10:00 From BERT to ChatGPT 13:00 Product-market fit metrics that matter 17:00 Scaling with ServiceNow 20:45 Weak vs. strong ROI in Enterprise AI 25:30 How to transform business workflows 30:20 AI’s opportunity in the public sector 34:40 What it takes to survive as a modern startup 38:00 The cost of inference and the new competitive landscape 42:00 Bhavin Shah’s Human Prompt — Links Connect with Bhavin Shah on LinkedInCheck out MoveworksConnect with John Kim on LinkedInCheck out Sendbird Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    59분
  6. Inside the Next Era of Healthcare AI with Ferrum Health’s Co-Founder Pelu Tran

    9월 30일

    Inside the Next Era of Healthcare AI with Ferrum Health’s Co-Founder Pelu Tran

    Hospitals are flooded with AI pilots, but very few ever become real, scalable solutions. In this episode of MindMakers, host John Kim sits down with Pelu Tran, Co-Founder $ CEO of Ferrum Health, to unpack why AI in healthcare so often fails to move beyond the demo phase, and what it really takes to deploy with impact. With years of experience deploying clinical AI in some of the most complex, risk-sensitive environments, Pelu argues that the real challenge isn’t in the models themselves, it’s in the infrastructure. He walks through Ferrum’s approach to building with standardized onboarding, secure deployment, and unified oversight, enabling hospitals to adopt AI safely, at scale. John and Pelu dig into the reasons most hospitals can only support a handful of AI tools per year despite demand from clinicians for hundreds, and why point solutions are rarely sustainable in highly regulated systems. They also explore how Ferrum protects patient data while still driving innovation, the growing problem of Shadow AI, and how new roles like Chief AI Officers are reshaping the org charts of modern healthcare systems. This episode offers hard-earned lessons for anyone trying to deploy AI in highly-regulated environments where safety and trust are not optional. If you’re thinking about long-term infrastructure, compliance, or the future of strategic AI adoption, you won’t want to miss it. — Guest Bio Cofounder and CEO of Ferrum Health, Pelu Tran is a serial healthcare entrepreneur living in San Francisco. Pelu studied both medicine and engineering at Stanford University and was four months away from receiving his MD when he dropped out to start his first company.  As founder of Augmedix, now a publicly traded company, Pelu led the product and commercial teams, growing the company to over 1,000 employees in five countries and $20M in annual revenue from over half of the largest health systems in the US. After watching his uncle pass away from a preventable medical error, Pelu founded Ferrum Health, an enterprise AI deployment platform with the mission of improving patient outcomes by democratizing health systems’ access to the most innovative and impactful clinical AI technologies from around the world. In his travels working with health systems around the world, you can find him learning about local cultures by trying the street food, listening to local musicians, and skiing, hiking, and diving any wilderness he can find. — Guest Quote “You’re never gonna be able to get people to stop adopting technologies that they want to use. So the reality of this is that the job of hospital AI administrators, IT teams, clinical leadership even, is to figure out which tools your doctors need to use to do a good job. And find a way to enable them to use them that is safe, compliant, and secure.” – Pelu Tran — Time Stamps   00:00 Episode Start 00:45 The unique challenges and opportunities of AI in healthcare 05:25 Roadblocks to widespread AI adoption 07:25 Where regulation fits in to the equation 09:50 The reality that startups and hospitals face today 14:30 What Ferrum is doing differently 18:00 Solving the workforce shortage with AI 22:15 Often overlooked assumptions in regulated AI 24:35 Pelu's lessons for other AI innovators 26:45 Seizing this rare opportunity 29:35 Pelu's Human Prompt — Links Connect with Pelu Tran on LinkedInCheck out Ferrum HealthConnect with John Kim on LinkedInCheck out Sendbird Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    33분
  7. What WRITER’s CSO Kevin Chung Has Learned from Hundreds of Enterprise AI Deployments

    9월 16일

    What WRITER’s CSO Kevin Chung Has Learned from Hundreds of Enterprise AI Deployments

    Is it possible to drive real businesses transformation with AI amidst reports that 95% of enterprise projects have been failing? On the debut episode of MindMakers, host John Kim is joined by Kevin Chung, Chief Strategy Officer of WRITER, to unpack what it really takes to scale enterprise AI efforts successfully. Kevin shares how WRITER evolved from a niche translation tool into the full-stack AI agent platform it is today. Together, he and John offer their own insights on the widespread MIT / NANDA report. You’ll hear why so many AI deployments stall in the “last mile” and what the most successful companies do differently. These are the organizations seeing real ROI, launching hundreds of AI agents, and reclaiming tens of thousands of hours in productivity. Throughout the episode, Kevin and John explore how AI is shifting from tool to teammate, why treating AI like a new hire changes everything, and how WRITER builds trust through a hands-on approach with their partners. Whether you're building AI tools, leading digital transformation, or just trying to make your org more efficient—this episode is packed with insight on getting real results from AI at scale. — Guest Bio Kevin is the Chief Strategy Officer of Writer, the leading generative AI platform for enterprises. He is an accomplished technology leader with over 20 years of experience in Silicon Valley. Kevin has led GTM and product teams through some of the world’s most disruptive digital transformations, including mobile payments (Google), cloud storage (Dropbox), visual collaboration (Miro), and now generative AI (Writer).  Kevin is a recipient of Singapore’s Overseas Networks & Expertise (ONE) Pass, a designation given to the top global talent in business, arts & culture, sports, academia and research. Kev currently splits his time living/working in San Francisco and Singapore. — Guest Quote “Number one, you gotta get your people empowered. Number two, you actually have to start promoting the people. And promoting in a sense of [not just] giving them the tools, but actually finding those champions who can be your AI advocates, right? The AI leaders in the organization that are gonna drive forward those initiatives.” – Kevin Chung — Time Stamps   00:00 Episode Start 02:00 WRITER – From translation tool to AI platform 06:30 Unpacking the MIT Report on AI ROI 10:45 The importance of customization and last-mile AI 15:30 Building enterprise strategy: trade-offs and focus 20:20 Hands-on AI deployment 25:15 AI’s role in upskilling vs. replacing the workforce 30:40 Misconceptions about LLMs and enterprise readiness 34:00 Treating AI as a digital employee, not just a tool 38:30 Measuring real ROI 42:00 The journey from SF to Singapaore 44:05 Kevin Chung’s Human Prompt — Links Connect with Kevin Chung on LinkedInCheck out WRITERConnect with John Kim on LinkedInCheck out Sendbird Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    51분

소개

MindMakers is a podcast about the architects of artificial intelligence. Hosted by Sendbird CEO John Kim, it features conversations with the founders and executives turning ambitious visions into transformative technologies. These are the leaders reimagining how we communicate, create, and connect in an age of intelligent machines. From startup ideas to tech revolutions, MindMakers offers a clear lens into the minds behind AI—and the choices that define the future.