What we're about

We’re excited to bring you the latest and practical technology on AI, Machine Learning, Deep Learning, Data Science and Big Data.

Our goal is to congregate with AI enthusiasts from all over Chicago to learn and practice AI tech, through tech talks, study jams, code labs etc.. we regularly invite tech leads from innovated companies, successful startups to share their practice experiences and practices in the world of AI, Cloud, Data, Blockchain.

If you’d like to speak at future meetups, co-promote your meetup or inquire about partnership opportunities, please feel free to reach out to us.

Thank you

Kelvin, Community Manager

===Tentative Agenda =====

5:30pm - 5:50pm, Snack & socia

5:50pm - 6:00pm, Intro/announcemen

6:00pm - 7:00pm, Tech Talk 1 and Q&A

7:00pm - 8:00pm, Tech Talk 2 and Q&A

8:00pm - 8:30pm, Lucky draw & Mingle

Upcoming events (3)

[In-Person] Chief Data & Analytics Officers Conference - Chicago

Needs a location

Register on event website to claim free VIP pass: https://bit.ly/39Mast5
(RSVP on meetup will NOT gain access to the event)

Description:
Join senior data & analytics professionals for in-person networking and fresh perspectives.

Chief Data & Analytics Officers, Chicago is the in-person event for data & analytics leaders in the Chicago area looking to enhance data literacy across their enterprise, scale successful projects and ensure they can display ROI in their data strategies.

We’re excited to welcome you back to physical events and have designed an interactive agenda with lots of face-to-face networking to make sure you can catch up on lost time. With enhanced biosecurity measures in place, and with a strict cap on attendee numbers, CDAO Chicago provides the unique opportunity to (re)connect, learn, and do more business, effectively, safely, and with confidence.

Visit the event website for details and claim free VIP pass: https://bit.ly/39Mast5

More events upcoming (free join from anywhere):
🔷 Aug 3, Build Your Open Data Lakehouse on Apache Iceberg (Online)
🔷 Aug 4, A Visual Introduction to Apache Kafka (Online)
🔷 Aug 16, Conference: Real Time Data Analysis Summit (San Francisco)
🔷 Aug 18, Conference: Stateoftheart(): machine learning conference (Online)
🔷 Aug 22, Conference: Ray ML Summit (San Francisco)
🔷 Aug 23, MLOps with Model Deployment, Management and Observability (Online)
🔷 Sep 7, Data Engineering Night in London (in-person)
🔷 Sep 13, Chief Data and Analytics Officer, Government 2022 (Washington DC)

1
StateoftheArt() Summit: Cutting-Edge Science and Technology in AI/ML

Link visible for attendees

Register on the event website to receive join link: https://www.aicamp.ai/event/eventdetails/W2022081607

Description:
With the popularity of GPT-3 and DALL-E we will discuss the future of AI, including large transformer and language models with Pilar Manchón from Google, who is a prominent voice within the AI community with decades of experience in other top tech companies. Additionally, we will also feature an exciting fireside chat with Michael Capellas, ex-CEO of Comcast and board member at Cisco & Flex. Discussion will be centered around how AI is transforming manufacturing.

We are also lucky to be joined by multiple leaders in the industry adopting end to end MLOps systems such as Google, American Eagle Outfitters, Cisco, Sephora & more. Additionally, for the first time ever in StateoftheArt() we're bringing in a new perspective; our “From the Media” panel will examine how journalists view all the hype and development surrounding this industry.

Featured Speakers:

  • Pilar Manchón, Senior Director of Research at Google AI
  • Michael Capellas, Board Member, Cisco & Flex, ex-CEO of Comcast
  • Duncan Mcelfresh, Health Services R&D Fellow at Stanford
  • Kevin McLaughlin, Reporter at The Information
  • BK Vasan, VP Data Technology & Analytics & CDO at AEO
  • Gus Shashin, CIO at Flex
  • Colin White, Head of Research at Abacus.AI

More AI/ML/Data tech events up coming (free join from anywhere):
🔷 Aug 3, Build Your Open Data Lakehouse on Apache Iceberg (Online)
🔷 Aug 4, A Visual Introduction to Apache Kafka (Online)
🔷 Aug 22, Conference: Ray ML Summit (San Francisco)
🔷 Aug 23, MLOps with Model Deployment, Management and Observability (Online)
🔷 Sep 7, Data Engineering Night in London (in-person)

Machine Learning Summit 2022 (San Francisco & Virtual)

Needs a location

Registration and tickets purchase instructions are on the event website:
https://www.aicamp.ai/event/eventdetails/W2022082308
(RSVP on meetup will NOT gain access to this event)

Description:
The world’s top minds in AI and distributed computing are coming to Ray ML Summit — August 23-24 in San Francisco! Join the global Ray community for two days of keynotes, trainings, and technical sessions exploring the future of scalable AI and more.

Whether you’re building recommender systems, scaling AI pipelines, training large-scale deep learning models — or you’re simply passionate about AI and distributed computing — there’s something for you here:
-- Find out how companies like Spotify, Instacart, and Shopify are building next-gen ML platforms and applications
-- Get a kick out of fascinating Ray use cases, like how the Qatar Computing Research Institute is using reinforcement learning and RLlib to control congestion and facilitate mobility at FIFA World Cup 2022
-- Level up your Ray skills with exclusive pre-conference training sessions on Ray, Ray Serve, or RLlib

Featured Speakers:

  • Soumith Chintala (Meta AI)
  • Smitha Shyam (Uber)
  • Pablo Estrada (Google)
  • Anca Dragan (UC Berkeley)
  • Greg Brockman (OpenAI)
  • Patrick Ames (Amazon)
  • Ali Kanso (Microsoft)
  • Jiao Wang (Intel)
  • Anindya Saha (Lyft)
  • Lukas Biewald (Weights & Biases)
  • and 50+ more

More AI/ML/Data tech events up coming (free join from anywhere):
🔷 June 28, Apache Iceberg: An Architectural Look Under the Covers
🔷 Jun 29, Workshop: Migrating from Confluent Kafka to Apache Kafka
🔷 July 7, Webinar: Getting The Most From Data With Open Metadata
🔷 July 12, Webinar: Scale ML models in Production
🔷 July 14, Webinar: PostgreSQL Enterprise Features

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