Featured
AI’s Next Wave—Tools, Use Cases, and What’s Coming
Hosted by Mike Redbord, Alex David, Kevin Raheja, and Shreya Wadehra
Mon, Feb 9, 2026
9:00 PM UTC (45 minutes)
Virtual (Zoom)
Free to join
Mon, Feb 9, 2026
9:00 PM UTC (45 minutes)
Virtual (Zoom)
Free to join
67 students
What you'll learn
Spot high-ROI AI use cases
Evaluate tools without the hype
Plan your next AI experiments
Why this topic matters
You'll learn from
Mike Redbord
Head of Customer Experience at Agent.ai
Mike Redbord is a customer-focused leader and AI champion. As an early executive at HubSpot (NYSE:HUBS), he scaled post-sale teams through IPO to $500M+ revenue and built the Service Hub product line. He’s since driven growth at AI-first startups like FinQore and Regal.ai. Based in Boston, Mike heads Experience at Agent.ai and advises software companies on growth, customer success, and AI strategy.
Alex David
GM of AI Solutions at G2
Alex is a product leader at G2 with over 10 years of experience in product strategy, data monetization, and go-to-market execution in the B2B software space. Prior to his current role, he founded Unsurvey, a conversational AI platform that was acquired by G2. He now oversees AI initiatives and new product development, leading the creation of AI-powered research and intelligence tools that leverage G2's vast repository of user-generated software reviews to help buyers make better decisions. His work focuses on applying AI to transform how businesses discover, evaluate, and purchase software.
Kevin Raheja
Head of API, Partnerships, Ecosystem at HeyGen
Kevin Raheja is Head of API, Partnerships, and Ecosystem at HeyGen, with nearly 15 years of experience building developer platforms and partner-led growth. He previously built HubSpot’s App Ecosystem from zero to a thriving marketplace, helping define how products scale through integrations. His work focuses on turning APIs and partnerships into durable growth engines.
Shreya Wadehra
AI Engineer @ Fathom
Shreya is an AI Engineer at Fathom, where she currently works on building AI agents and product-focused evaluations to measure their performance. She’s particularly interested in the interplay between agent design and user behavior—how the technical decisions in building AI systems not only shape users’ current interactions with the product but also establish patterns for how people will engage with AI in the future. Before joining Fathom, she studied Applied Machine Learning at Imperial College London and built various AI projects, including an agent for editing music through natural language.
Previously at
