Making AI Work at Work
AI is no longer just changing products. It is changing how organizations work. Many companies already have AI tools, pilots, and internal experiments, but turning them into real, scalable workflows is still a major challenge. The gap is rarely just technological. It is about ownership, data readiness, organizational change, and the ability to move from impressive demos to processes that actually work. In this meetup, we will explore how Product Managers can lead internal AI adoption, why strong data foundations are critical for success, and how AI agents are reshaping roles, workflows, and the future of work inside organizations. This event is for Product Managers, Data leaders, AI practitioners, innovation leaders, and anyone working to move their organization from AI experimentation to AI-native execution. Agenda: ❖ 18:30 — Gathering, food, drinks, and networking ❖ 19:00 — Shmulik Davar: "The PM As AI Operator" + Q&A ❖ 19:20 — Adaya Tal: "AI Agents Don't Fail on Tech—They Fail on Data" + Q&A ❖ 19:40 — Oren Melamed: Expert Q&A – "AI Transformation Without Authority" ❖ 20:00 — More Schmoozing: Eating to the last bite, until they kick us out. Our Speakers: 1. Shmulik Davar\, Founder and CEO @BrAIght Wave https://www.linkedin.com/in/shmulik-davar/ Shmulik Davar is the Founder & CEO of BrAIght Wave, an AI strategy and applied solutions consultancy and Anthropic's official partner in Israel, helping companies turn AI and GenAI from hype into real, measurable business results. He works with enterprises like Palo Alto, AppsFlyer, WalkMe, Earnix, Varonis and many more guided by his belief that AI is an execution problem, not a technology problem. He's also an AI Lecturer at Reichman University. He was a founder of 3 startups and as VP Product and R&D at leading companies. 2. Adaya Tal\, Data & Analytics AI Engineering Manager @ReasonLabs https://www.linkedin.com/in/adaya0/ Adaya Tal owns the data platform at ReasonLabs — the infrastructure, the semantic layer, and the internal AI agents that product, marketing, and finance teams rely on every day. She came to AI the data way: a decade of building the pipelines and definitions underneath, then spending the last twelve months turning them into a stack of agents that actually run in production. The throughline in her work is the layer nobody talks about — the data foundations that decide whether an organization's AI adoption takes off or quietly collapses. Co-host of Data Bytes, a podcast on data and AI. Based in Beit Dagan. Manages more AI agents than people. 3. Oren Melamed\, GenAI Transformation Lead@ AT&T https://www.linkedin.com/in/orenmelamed/ Oren Melamed is a Senior R&D leader, speaker, GitHub Star, Microsoft MVP and community builder specializing in agentic AI systems and AI-native developer workflows. He leads large-scale adoption programs for agentic tools as a daily driver in real-world engineering environments. With a background in building and scaling production systems, Oren focuses on how developers and agents actually collaborate in practice, and what truly works in production. He runs a Copilot-focused community and actively shares hands-on insights through posts, videos, and talks across LinkedIn, X, and YouTube. Through his work, he helps teams move from experimenting with AI to building effective, scalable AI-driven development workflows. With thanks to our sponsor: AT&T \The event is held in Hebrew\
