Rong Yan is the Chief Technology Officer at HeyGen, the AI video platform making visual storytelling accessible to everyone. He leads the company's engineering and AI strategy as HeyGen builds generative AI tools that enable businesses and creators to produce studio-quality videos, AI avatars, and multilingual content at scale. Before joining HeyGen, Rong served as Vice President of Engineering at HubSpot, where he led the Data Intelligence and Automation organization, building AI-powered CRM products and intelligent business automation tools. Earlier, he was CTO of Verishop and spent more than five years at Snapchat, leading product engineering for core experiences including Camera, Messaging, Stories, Discover, Memories, and Identity across an organization of more than 250 engineers. He also held engineering leadership roles at Square and Facebook, giving him deep experience scaling consumer platforms, AI systems, and enterprise software. Rong earned his Ph.D. and M.S. in Computer Science from Carnegie Mellon University and is a prolific AI researcher with more than 60 publications and 35 patents spanning machine learning, computer vision, multimedia analysis, and large-scale data mining.Topics

• The future of AI video: how generative AI is transforming visual storytelling, content creation, and digital communication
• Building AI products at global scale: lessons from HeyGen, HubSpot, Snapchat, Facebook, and Square
• From computer vision to generative AI: applying decades of AI research to build the next generation of creative tools

#ArtificialIntelligence #GenerativeAI #AIVideo #ComputerVision #Engineering

Chris Farmer is the Founder and CEO of SignalFire, one of Silicon Valley's leading venture capital firms built around proprietary data and AI.~~~~~~~~~~~~~This episode is brought to you by Nebius — the ultimate cloud for AI innovators.Nebius provides AI infrastructure you can count on, combining reliability and speed with flexibility and engineering support unmatched by hyperscalers.AI leaders like Meta, Shopify, and Higgsfield already partner with Nebius to run their AI workloads. Plus, venture-backed startups can save up to $150,000 on compute costs when they apply for access. Visit nebius.com or nebius.com/startups to learn more~~~~~~~~~~~~~Since founding the firm in 2013, he has pioneered a data-driven approach to venture investing, backing category-defining companies across enterprise software, AI, infrastructure, and consumer technology. SignalFire combines machine learning, proprietary talent data, and operational support to help founders build and scale high-growth companies. Before launching SignalFire, Chris was a Venture Partner at General Catalyst, where he established the firm's California office and led early investments in companies including Stripe, Coinbase, Discord, Fivetran, Zapier, Venmo, ClassDojo, and Alation. Earlier, he was a Vice President at Bessemer Venture Partners, a consultant at Bain & Company, and a successful entrepreneur who led the turnaround of SkyBitz into a profitable SaaS business that was later acquired. Chris has also published research on venture capital in Harvard Business Review and other leading journals, bringing decades of experience at the intersection of technology, entrepreneurship, and investing.Topics

• How AI is transforming venture capital: building a data-driven investment firm for the next generation of startups
• Lessons from backing Stripe, Coinbase, Discord, and other category-defining companies at the earliest stages
• What founders need to build AI-native companies that scale from seed stage to market leadership

#ArtificialIntelligence #VentureCapital #Startups #AI #Entrepreneurship

William Sun is the Co-Founder and CEO of Auctor AI, the AI-native system of action for the entire software implementation lifecycle. ~~~~~~~~~~~~~This episode is brought to you by Nebius — the ultimate cloud for AI innovators.Nebius provides AI infrastructure you can count on, combining reliability and speed with flexibility and engineering support unmatched by hyperscalers.AI leaders like Meta, Shopify, and Higgsfield already partner with Nebius to run their AI workloads. Plus, venture-backed startups can save up to $150,000 on compute costs when they apply for access. Visit nebius.com or nebius.com/startups to learn more~~~~~~~~~~~~~Auctor helps systems integrators and ISV professional services teams automate discovery, design, delivery, and deployment, enabling faster implementations, greater efficiency, and more predictable outcomes. Teams can manage the full implementation lifecycle on a single platform, from pre-sales and discovery through go-live. The company recently raised $20 million led by Sequoia Capital, with participation from M12, HubSpot Ventures, Workday Ventures, Y Combinator, and others, and works with partners across major enterprise ecosystems including ServiceNow, SAP, Oracle, Salesforce, AWS, HubSpot, Atlassian, and OneStream. He is building an AI orchestration layer to modernize one of enterprise software's largest and most complex markets: software implementation and delivery.Topics

• What a "frictionless" future in enterprise software implementation look like?
• How Auctor stand apart from companies: The "Niche & Deep" strategy.
• The "secret sauce" in an AI-driven implementation process.

#EnterpriseSoftware #SoftwareImplementation #AIAgents #DigitalTransformation #Consulting

Jerry Shu is the Co-Founder and CTO of Daylit (formerly Lendica), an AI platform building autonomous finance agents that help enterprises automate accounts receivable, improve cash flow visibility, and streamline working capital management. ~~~~~~~~~~~~~This episode is brought to you by Nebius — the ultimate cloud for AI innovators.Nebius provides AI infrastructure you can count on, combining reliability and speed with flexibility and engineering support unmatched by hyperscalers.AI leaders like Meta, Shopify, and Higgsfield already partner with Nebius to run their AI workloads. Plus, venture-backed startups can save up to $150,000 on compute costs when they apply for access. Visit nebius.com or nebius.com/startups to learn more~~~~~~~~~~~~~Daylit's AI agents enable finance teams to reduce manual collections, monitor aging receivables, and generate real-time financial intelligence to improve business performance. Before founding Daylit, Jerry co-founded Manticor and worked as a Quantitative Research Associate at J.P. Morgan, where he developed algorithmic indices and pricing models for equity derivatives. His background combines deep expertise in quantitative finance, machine learning, and enterprise software, giving him a unique perspective on applying AI to one of the largest untapped opportunities in business operations. Jerry holds a Master's in Finance from the MIT Sloan School of Management and a Bachelor's degree in Quantitative Finance and Risk Management from the City University of Hong Kong.Topics

• How autonomous AI agents are transforming accounts receivable, cash flow management, and enterprise finance operations
• Applying quantitative finance and AI to modernize the office of the CFO and unlock working capital
• Building AI-native financial infrastructure: lessons from quantitative trading, enterprise software, and startup leadership

#ArtificialIntelligence #FinTech #EnterpriseAI #Finance #Startups

Frank Petterson is the Chief Technology and Product Officer (CTPO) at Uniphore, where he leads the company’s global product, engineering and AI groups. ~~~~~~~~~~~~~This episode is brought to you by Nebius — the ultimate cloud for AI innovators.Nebius provides AI infrastructure you can count on, combining reliability and speed with flexibility and engineering support unmatched by hyperscalers.AI leaders like Meta, Shopify, and Higgsfield already partner with Nebius to run their AI workloads. Plus, venture-backed startups can save up to $150,000 on compute costs when they apply for access. Visit nebius.com or nebius.com/startups to learn more~~~~~~~~~~~~~He brings over 20 years of experience building high-performing organizations across diverse software disciplines. Prior to joining Uniphore, Frank served as head of Engineering at Meta Platforms, where he led the Business Growth and Platform organization. He also served as CTO at AliveCor, directing the development of clinically validated mobile ECG solutions. Frank has held technical leadership roles at Google & YouTube, building Hangouts, YouTube Live and YouTube Gaming, and at Industrial Light & Magic as Production Technology Supervisor for feature films, including winning an Academy Award. Frank holds a Ph.D. in Computer Science from Stanford University and a B.S. in Computer Science from Rice University.

• Building enterprise ai products at scale: lessons from meta, google, and uniphore
• What it takes to lead world-class product and engineering organizations through multiple technology waves

-From consumer platforms to enterprise ai: designing ai products that deliver real business value#ArtificialIntelligence #EnterpriseAI #ProductLeadership #EngineeringLeadership #Technology

Jason Goodison is the Co-Founder and CTO of General Compute, an AI infrastructure company building one of the fastest inference clouds by leveraging alternatives to traditional GPUs to dramatically reduce latency and cost for AI workloads. The company is developing next-generation infrastructure that enables developers and enterprises to run large language models more efficiently at scale. Before founding General Compute, Jason launched SuperCall, where he built ultra-low-latency Voice AI agents for enterprises and scaled the company to $50,000 in monthly recurring revenue as a solo founder. He previously founded Pair AI, a Y Combinator-backed startup (W23), and spent more than three years as a Senior Software Engineer at Microsoft, where he helped build the distributed system responsible for compiling thousands of Windows builds every day. A Computer Science graduate of the University of Waterloo, Jason is also a prominent engineering educator who has helped thousands of software engineers through his technical content and developer community.Topics

• Why AI Inference Is the Next Major Battleground: Building Faster, More Cost-Efficient Infrastructure Beyond Traditional GPUs
• Lessons from Building Multiple AI Startups: Scaling Products from Zero to Revenue as a Technical Founder
• The Future of AI Infrastructure: How Developers Can Optimize Performance, Latency, and Cost for Large Language Models

#ArtificialIntelligence #AIInfrastructure #LLM #Startups #Engineering

Sue Xu, Ph.D. is Managing Partner at Amino Capital, an early-stage venture firm in Palo Alto investing across AI, SaaS, consumer, Web3, and frontier technologies with a core focus on data moats and network effects. ~~~~~~~~~~~~~This episode is brought to you by Nebius — the ultimate cloud for AI innovators.Nebius provides AI infrastructure you can count on, combining reliability and speed with flexibility and engineering support unmatched by hyperscalers.AI leaders like Meta, Shopify, and Higgsfield already partner with Nebius to run their AI workloads. Plus, venture-backed startups can save up to $150,000 on compute costs when they apply for access. Visit nebius.com or nebius.com/startups to learn more~~~~~~~~~~~~~Since joining in 2012, she has led investments in 300+ startups from seed to Series A, helping build ~20 unicorns and 45+ companies valued over $100M, including Chime, Rippling, Webflow, Replit, and Grail (acquired by Illumina). A former Stanford medical researcher and founding scientist on multiple biotech spin-offs, she holds three patents and 20+ publications, and began her career building lab-based biotech ventures. Beyond investing, she has spoken at the UN General Assembly on AI and human impact, and regularly teaches and lectures on entrepreneurship, data systems, and global innovation.Topics

• What actually creates “data moat” companies in AI and SaaS
• From Stanford lab spin-offs to unicorn outcomes: patterns that repeat
• AI unicorn readiness with network effects at 300+ investment scale

#VentureCapital #Startups #DeepTech #SaaS #Entrepreneurship

Andrew Dai is the Co-Founder and CEO of Elorian AI, a startup building next-generation multimodal foundation models designed to reason across text, images, video, and audio. ~~~~~~~~~~~~~This episode is brought to you by Nebius — the ultimate cloud for AI innovators.Nebius provides AI infrastructure you can count on, combining reliability and speed with flexibility and engineering support unmatched by hyperscalers.AI leaders like Meta, Shopify, and Higgsfield already partner with Nebius to run their AI workloads. Plus, venture-backed startups can save up to $150,000 on compute costs when they apply for access. Visit nebius.com or nebius.com/startups to learn more~~~~~~~~~~~~~The company emerged from stealth with one of the largest AI pre-seed rounds on record, raising $55 million from investors including Menlo Ventures, Altimeter, Jeff Dean, and Striker Venture Partners to develop AI systems capable of advancing visual reasoning for robotics, automotive, architecture, and other real-world applications. Before founding Elorian AI, Andrew spent nearly 14 years at Google Brain and Google DeepMind, where he helped build many of Google's most important AI systems. He served as co-lead for the Gemini data organization and synthetic data initiatives, co-led modeling for Google's Search Generative Experience, led PaLM 2 pretraining, co-led the GLaM Mixture-of-Experts language model, and previously led Google Health's electronic health record research. His earlier work on language model pretraining, Smart Reply, and Smart Compose helped lay the foundation for today's large language models. Andrew holds a Ph.D. in Machine Learning from the University of Edinburgh.Topics

• Why multimodal intelligence is the next major frontier beyond large language models
• Lessons from building gemini, palm 2, and google's ai stack before launching elorian ai
• How synthetic data, visual reasoning, and foundation models will shape the next generation of ai applications

#ArtificialIntelligence #MultimodalAI #LLM #MachineLearning #Startups