Artificial Intelligence Machine Learning Robotics

**Join Us for PyData Meetup @ Melio!** Get ready for insightful sessions, networking with the PyData community, and, of course, pizza and beer! A big thanks to **Melio** for hosting us and supporting the community. **📅 Details** Date: Sunday, June 14th, 2026 Time: 18:00 - 21:00 Location: Melio Office, Hagag Towers, North Tower, Floor 32, HaArba’a St 28, Tel Aviv Language: This meetup will be held in Hebrew **🕒 Agenda** 18:00: Gathering, snacks, and drinks 🍕🍻 18:30: Welcome words 18:45: **A Match Made in Heaven: LLM Judgment at Vector-Search Speed,** Shon Mendelson, Staff AI Scientist @ Intuit 19:15: **Dr. Data: How We Learned to Stop Worrying and Love the AI Bomb**, Dr. Adi Sarid, CEO @ Sarid Research 19:45: **Cost-Efficient AI Systems in Practice,** Michael Levinger, Senior AI Engineer @ Melio **🎤 Featured Sessions** **A Match Made in Heaven: LLM Judgment at Vector-Search Speed** **Speaker: Shon Mendelson, Staff AI Scientist @ Intuit** Last year, I spent far too long chasing a stubborn data quirk: why our system couldn't see that “The Law Offices of John Miller” and “Miller, John S. PLLC” were the same entity. It led to a bigger question: can you achieve LLM-level judgment at vector-search speeds? Traditional vector search is fast, but often misses subtle context like this, while relying entirely on LLMs is too slow and costly for production at scale. In this talk, I’ll share how we bridged that gap at Intuit with a hybrid system that combines fast vector search, efficient small transformer-based models, and fine-tuned SLMs. The result is a system capable of handling millions of weekly entity comparisons, significantly boosting recall while maintaining precision levels comparable to traditional methods. **Dr. Data: How We Learned to Stop Worrying and Love the AI Bomb** **Speaker: Dr. Adi Sarid, CEO @ Sarid Research** When GenAI dropped, our quant market research agency had a beautifully naive thought: "We can finally replace all our human labelers with a simple API call!" Spoiler alert: Scaling AI without hallucinations isn't quite that simple. Join us for a brutally honest, technical look at our data science team's journey from prompt-panic to AI-powered productivity. We’ll share our biggest wins and hardest lessons regarding evaluation frameworks, the rapid obsolescence of custom packages, and the newfound "full-stack audacity" of modern data scientists. **Cost-Efficient AI Systems in Practice** **Speaker: Michael Levinger, Senior AI Engineer @ Melio** Deploying large language models and AI agents in real-world systems requires a constant trade-off between cost, latency, and performance. This talk explores how to optimize LLM- and agent-based systems using techniques such as caching, model routing/cascades, tuning, RAG, and distillation—significantly reducing costs without sacrificing quality. Through a case study of an ATO-agent system, we’ll also cover practical approaches to cost estimation, monitoring, and budgeting. In addition, we’ll compare leading industry models—such as Gemini, Claude, and GPT—focusing on differences in response speed, cost efficiency, and real-world performance, and how to choose the right model for each use case within broader agentic workflows. **🚀 RSVP** Space is limited – RSVP now to secure your spot! We look forward to seeing you there! **📍 How to find us:** Enter the North Tower in Hagag Towers (Ha'Arbaa 28), go up to floor 32, and find us there. **We highly recommend using public transport, but if you’re coming by car, [here is a list of nearby parking lots](https://docs.google.com/spreadsheets/d/15GIvUZWui78k4b0EyikjvzNMnDede4lY/edit?gid=751370004#gid=751370004).**

**Join Us for PyData Meetup @ Melio!** Get ready for insightful sessions, networking with the PyData community, and, of course, pizza and beer! A big thanks to **Melio** for hosting us and supporting the community. **📅 Details** Date: Sunday, June 14th, 2026 Time: 18:00 - 21:00 Location: Melio Office, Hagag Towers, North Tower, Floor 32, HaArba’a St 28, Tel Aviv Language: This meetup will be held in Hebrew **🕒 Agenda** 18:00: Gathering, snacks, and drinks 🍕🍻 18:30: Welcome words 18:45: **A Match Made in Heaven: LLM Judgment at Vector-Search Speed,** Shon Mendelson, Staff AI Scientist @ Intuit 19:15: **Dr. Data: How We Learned to Stop Worrying and Love the AI Bomb**, Dr. Adi Sarid, CEO @ Sarid Research 19:45: **Cost-Efficient AI Systems in Practice,** Michael Levinger, Senior AI Engineer @ Melio **🎤 Featured Sessions** **A Match Made in Heaven: LLM Judgment at Vector-Search Speed** **Speaker: Shon Mendelson, Staff AI Scientist @ Intuit** Last year, I spent far too long chasing a stubborn data quirk: why our system couldn't see that “The Law Offices of John Miller” and “Miller, John S. PLLC” were the same entity. It led to a bigger question: can you achieve LLM-level judgment at vector-search speeds? Traditional vector search is fast, but often misses subtle context like this, while relying entirely on LLMs is too slow and costly for production at scale. In this talk, I’ll share how we bridged that gap at Intuit with a hybrid system that combines fast vector search, efficient small transformer-based models, and fine-tuned SLMs. The result is a system capable of handling millions of weekly entity comparisons, significantly boosting recall while maintaining precision levels comparable to traditional methods. **Dr. Data: How We Learned to Stop Worrying and Love the AI Bomb** **Speaker: Dr. Adi Sarid, CEO @ Sarid Research** When GenAI dropped, our quant market research agency had a beautifully naive thought: "We can finally replace all our human labelers with a simple API call!" Spoiler alert: Scaling AI without hallucinations isn't quite that simple. Join us for a brutally honest, technical look at our data science team's journey from prompt-panic to AI-powered productivity. We’ll share our biggest wins and hardest lessons regarding evaluation frameworks, the rapid obsolescence of custom packages, and the newfound "full-stack audacity" of modern data scientists. **Cost-Efficient AI Systems in Practice** **Speaker: Michael Levinger, Senior AI Engineer @ Melio** Deploying large language models and AI agents in real-world systems requires a constant trade-off between cost, latency, and performance. This talk explores how to optimize LLM- and agent-based systems using techniques such as caching, model routing/cascades, tuning, RAG, and distillation—significantly reducing costs without sacrificing quality. Through a case study of an ATO-agent system, we’ll also cover practical approaches to cost estimation, monitoring, and budgeting. In addition, we’ll compare leading industry models—such as Gemini, Claude, and GPT—focusing on differences in response speed, cost efficiency, and real-world performance, and how to choose the right model for each use case within broader agentic workflows. **🚀 RSVP** Space is limited – RSVP now to secure your spot! We look forward to seeing you there! **📍 How to find us:** Enter the North Tower in Hagag Towers (Ha'Arbaa 28), go up to floor 32, and find us there. **We highly recommend using public transport, but if you’re coming by car, [here is a list of nearby parking lots](https://docs.google.com/spreadsheets/d/15GIvUZWui78k4b0EyikjvzNMnDede4lY/edit?gid=751370004#gid=751370004).**

Join the Columbus AI community for a special event. **Battle of the Personal Agents** is your chance to see what people are actually building with AI agents and personal automation systems. Whether you’re running OpenClaw, Hermes, or a completely custom solution, bring your agent and show the community how it works. We’re interested in real-world implementations: the problems your agent solves, how you use it day-to-day, how it’s hosted and managed, how you built it, and why you’ve chosen to keep using it. Live demonstrations are encouraged, so be prepared to show your code, architecture, workflows, and your agent performing real tasks. This is less about polished presentations and more about sharing practical experience, comparing approaches, and learning from one another. If you’d like to present, please contact Chris Slee (via meetup) before the event so we can allocate enough time for everyone’s demonstrations. Come ready to show what you’ve built, discover what others are doing, and maybe find a few ideas worth taking home. Whether you’re deep in the field or just getting curious, come connect with others building and exploring AI in Columbus. Sponsored by [Transform Labs](https://www.linkedin.com/company/transformlabs/) Sign up also accessible via [Transform Labs Luma](https://luma.com/transformlabshq)

Most people still use AI like a search box: type one question, get one answer, repeat. But the next step is AI agents: systems that can take a goal, break it into steps, use tools, remember context, and produce useful work for a human to review. In this beginner-friendly session, we’ll demystify what AI agents actually are — without hype or jargon. We’ll walk through practical examples of how agents can help with research, planning, writing, coding, operations, and personal productivity. We’ll cover: * What makes an AI “agent” instead of just a chatbot * How agents break tasks into steps * Where agents are genuinely useful today * Where they fail, hallucinate, or need human review * How to design simple AI workflows for your own work * A live demo of an AI agent-style workflow from start to finish No coding experience required. This is for anyone who wants to understand where AI tools are going and how to use them more effectively right now. LOGISTICS AND PARKING: The talk starts at 7:00 PM. The first half hour is reserved for everyone to get set up and mingle. Free pizza and drinks! The cheapest parking option is to find street parking, which will only cost you a few bucks. Otherwise, park in the nearby veteran's museum lot for $8. It's highly recommended you avoid the nearby $15 garage parking.

Title: Smart Search + AI: An Outcome-Driven Journey from IDP to a Suite of AI Register at the Columbus AWS meetup: [https://www.meetup.com/columbus-aws-amazon-web-services-meetup/events/313426379/](https://www.meetup.com/columbus-aws-amazon-web-services-meetup/events/313426379/) Over a billion documents processed. Millions of Veterans impacted. Hundreds of thousands of employee hours saved. Faster decisions. Greater accuracy. More benefits in the hands of our disabled Veterans. We created Smart Search, the world’s largest consumer of Amazon Textract, right when GenAI began reshaping what’s possible. Since then, we’ve built a suite of AI‑driven solutions that transform this data into real, measurable outcomes—accelerating benefits decisions for our Nation’s Veterans. Join us for a focused conversation on how an outcome‑driven approach to AI is helping us boost accuracy, streamline workflows, and deliver faster results for those who have served. This is a follow up to the AWS re:Invent 2023 "Intelligent Document Processing with Gen AI for Public Sector" presentation. About Speaker: Cameron Williams is a Senior Technical Project Manager and cross-functional technical leader at Booz Allen Hamilton with 15+ years of experience architecting and evolving scalable, cloud-native systems, from greenfield development to complex enterprise modernization. https://www.linkedin.com/in/cameronw711/ **THANK YOU** *Franklin University* for hosting our meetup! To learn more about *Franklin University*, please visit their website: https://www.franklin.edu/ **DIRECTIONS** Franklin University Fisher Hall 300 E. Main St, Columbus, OH 43215 Map: https://maps.app.goo.gl/jxjBA2hUmS5qrvhq8 Parking is FREE! Please park in Lot C in front of Fisher Hall. See attached map. NOTE: Map the address only. When mapping with Google Maps it may use the Fisher Hall at OSU, which is NOT correct. **Want to sponsor the pizza and/or bar tab?** Please contact me if you would like to sponsor this meetup's pizza and/or bar tab: angelo@mandato.com

Over a billion documents processed. Millions of Veterans impacted. Hundreds of thousands of employee hours saved. Faster decisions. Greater accuracy. More benefits in the hands of our disabled Veterans. We created Smart Search, the world’s largest consumer of Amazon Textract, right when GenAI began reshaping what’s possible. Since then, we’ve built a suite of AI‑driven solutions that transform this data into real, measurable outcomes—accelerating benefits decisions for our Nation’s Veterans. Join us for a focused conversation on how an outcome‑driven approach to AI is helping us boost accuracy, streamline workflows, and deliver faster results for those who have served. This is a follow up to the AWS re:Invent 2023 "Intelligent Document Processing with Gen AI for Public Sector" presentation. About Speaker: Cameron Williams is a Senior Technical Project Manager and cross-functional technical leader at Booz Allen Hamilton with 15+ years of experience architecting and evolving scalable, cloud-native systems, from greenfield development to complex enterprise modernization. https://www.linkedin.com/in/cameronw711/ **THANK YOU** *Franklin University* for hosting our meetup! To learn more about *Franklin University*, please visit their website: https://www.franklin.edu/ **DIRECTIONS** Franklin University Fisher Hall 300 E. Main St, Columbus, OH 43215 Map: https://maps.app.goo.gl/jxjBA2hUmS5qrvhq8 Parking is FREE! Please park in Lot C in front of Fisher Hall. See attached map. NOTE: Map the address only. When mapping with Google Maps it may use the Fisher Hall at OSU, which is NOT correct. **Want to sponsor the pizza and/or bar tab?** Please contact me if you would like to sponsor this meetup's pizza and/or bar tab: angelo@mandato.com

## 🤝 Host Information A co-hosted event by ProductTank Columbus & Women in Product Columbus 💡 About the Workshop AI adoption is stalling across organizations — not because of a lack of motivation or tools, but because it's fundamentally a behavior design challenge. This hands-on workshop applies proven Behavior Design models and methods to help you move from a vague organizational wish to boost AI adoption to 3-5 concrete, testable interventions you can act on starting tomorrow. Whether you're a product manager, on a product team, or just someone trying to get AI to actually stick at work, you'll leave with a clear picture of what's worth focusing on, what to ignore, and how to drive real, sustained adoption — no guesswork required. 🛠️ What to Bring Laptop: Fully charged and ready to go. AI Assistant: Have your favorite AI assistant pulled up. (Dom will be using Claude, but feel free to use whichever assistant you prefer!) 🍕 Logistics & Perks Food & Drink: Pizza and drinks provided! Parking: Plenty of free spaces available on-site. ###

NFT's are here to stay folks! This is a group for like minded people interested in understanding, leveraging, using, creating for, profiting from, trading too i suppose, NFT's.. everything around them, complexity, fear and exploits, best practices and more. **PLUS** This group will talk AI ART tools, techniques, artists, video, audio, prototypes and more in the AI assisted production space- ART specifically, but we can get into any aspect of some of the cooler things happening in AI in general.

A session on using Claude Code, Anthropic's AI coding agent, in real Unity development. We'll cover what coding agents are, where Claude Code fits, and how to apply it to an actual game project. The format is presentation-style, with live demos and time for questions throughout. After brief scene-setting on coding agents and what makes Claude Code distinct, we'll go problem-driven: demoing it live on a released Unity game and introducing each feature as a solution to a problem we hit. What to Expect: * An intro to coding agents and where Claude Code fits * A live demo on a real Unity project * Key features as solutions to real problems: 𝖢𝖫𝖠𝖴𝖣𝖤.𝗆𝖽, context management, hooks, skills, subagents, and MCP * Unity-specific pain points, including Domain Reload and MCP caveats * Putting it together All experience levels welcome. Food and drinks provided. *Note: meetup topics may change — check back for the latest details.*