Events

Saint Louis based collection of meet-ups, talks, and other opportunities to interact with the AI community in a variety of contexts.


UPCOMING EVENTS

DEC
6th
2018

Prepare Your Co. for the AI Revolution

  • Thursday, December 6, 2018

  • 4:30 PM – 5:30 PM

  • The Venture Café (map)

The tools are getting easier to use. The costs are coming down. The stage is set for an AI revolution. What we need now are creative ideas that will improve people’s lives. In this session, Jesse Wolfersberger, Chief Data Officer of Maritz Motivation Solutions will talk about how companies are using AI and how to get your company ready for the revolution.


APR
9th
2019

2019 Prepare.ai Conference 

LEARN MORE


PAST EVENTS

NOV
29th
2018

AI Jeopardy: An Upbeat Panel Discussion on the Most Pressing AI Issues

  • Thursday, November 29, 2018

  • 7:00 PM – 8:00 PM

  • The Venture Café (map)

Join us for a fun discussion on the most thought provoking issues in AI!

Panelists:

Badri Adhikari, Professor of Computer Science, UMSL
Bill MacMillan, CTO and CoFounder, Prattle Analytics
Dave Costenaro, Head of Ai R&D at Jane.ai and Executive Director at Prepare.Ai


NOV
1ST
2018

ML and NLP with Rare Languages & Small Datasets

  • Thursday, November 1, 2018

  • 5:00 PM – 6:00 PM

  • The Venture Café (map)

Professor Kevin Scannell of Saint Louis University will present his research on developing language models for hundreds of indigenous and minority languages around the world.


OCT
4TH
2018

Where Automated Machine-Learning Fits in Your Data-Science Toolbox

  • Thursday, October 4, 2018

  • 5:30 PM – 6:30 PM

  • The Venture Café (map)

Automation lies at the heart of all AI efforts and is increasingly a part of machine learning workflows. As part of the prepare.ai speaker series, Dan Vatterott will describe where automated, machine-learning projects can fit in your workflow. During this presentation, Dan will walk through a Binder notebook demonstrating the power of automated feature engineering. This presentation will focus on the python, machine-learning stack. Anyone interested in machine-learning would benefit from this presentation.


SEP
6TH
2018

AI in the Cybersecurity Space

  • Thursday, September 6, 2018

  • 5:30 PM – 6:30 PM

  • The Venture Café (map)

Intelligent automation is set to further disrupt business. The hype is that it promises huge gains through reducing costs while creating strategic insights into customer experiences. The talk will focus on the journey from robotic process automation (RPA) to more intelligent, cognitive automation leveraging artificial intelligence (AI) as well as looking at a small demo of RPA.


AUG
2ND
2018

The Data Warehouse – Where Your AI Begins

  • Thursday, August 2, 2018

  • 5:00 PM – 6:00 PM

  • The Venture Café (map)

Your company wants to predict customer behavior, build a new AI feature into the product, and make some nice charts for the CEO at the same time. What do all these things have in common? They all start from a single place where all the data in your business is at your fingertips – The Data Warehouse.

As part of the Prepare.ai Speaker Series, Conor Nash of NBS Consulting gives a manager’s overview of data warehouse systems. Whether you’re trying to measure the performance of a complex algorithm or you just feel like Excel is not giving you what you need, this talk is for you.


MAY
8TH
2018

Prepare.Ai Annual Conference

  • Tuesday, May 8, 2018

  • 9:00 AM – 5:00 PM

  • Eric P. Newman Center (map)

The Prepare.Ai Conference is the Midwest’s premier forum to explore, understand, and influence how Artificial Intelligence will impact our lives and businesses.

We will have exciting keynotes and sessions with speakers from Amazon, IBM, WashU, SLU, IDEO, Maritz, Showtime Networks, Centene, and many others. Topics covered will be: machine learning, predictive analytics, NLP, data science, UX design, computer vision, toolsets, economics, ethics, and real-world business applications. Experts and newcomers alike will find valuable resources, insights, and networking opportunities.

Needs-based scholarships are available through the generous donations of our sponsors.

Registration fee: $299


APR
30th
/
JUN
20th
2018

Fast.Ai Courses – Local Study Group!

  • Mon, April 30 – Mon, June 20, 2018

  • Weekly meetings Monday 6:00 PM

  • CIC @ 20 S Sarah St, St. Louis, MO 63108 (map)

Fast.ai is a free online course over 7 to 8 weeks on practical deep learning with no assumptions on prior expertise. This study group intends to provide some structure and local mentorship to fast.ai cohorts. If you have been toying with the idea of kickstarting your foray into deep learning, this could be a great avenue. What differentiates this initiative is opportunity of local mentorship and peer experience sharing.

Fast.ai is dedicated to making the power of deep learning accessible to all. Deep learning is dramatically improving medicine, education, agriculture, transport and many other fields, with the greatest potential impact in the developing world. For its full potential to be met, the technology needs to be much easier to usemore reliable, and more intuitive than it is today.

You will start with step one—learning how to get a GPU server online suitable for deep learning—and go all the way through to creating state of the art, highly practical, models for computer vision, natural language processing, and recommendation systems. There are around 20 hours of lessons, and you should plan to spend around 10 hours a week for 7 weeks to complete the material.


JAN
9TH
2018

Using Artificial Intelligence & NLP to Streamline the Workplace

  • Tuesday, January 9, 2018

  • 6:00 PM – 8:30 PM

  • 4240 Duncan Avenue, St. Louis, MO (map)

St. Louis Machine Learning & Data Science Meetup

Artificial intelligence is poised to radically transform the modern workplace. David Karandish (CEO) and Dave Costenaro (Head of AI Design) from Ai Software will discuss trends on what is happening in AI, and specifically how AI and Natural Language Processing (NLP) can transform access to information for a company’s applications, documents, and people. The session will explore related technologies like text mining, named entity recognition, question answering, and neural nets, along with a discussion of system deployments to productize and pull it all together.

Please join us for networking and refreshments at 6:00 PM. The presentation will begin promptly at 6:30 PM.


OCT
19TH
2017

NLP Meetup

  • Thursday, October 19, 2017

  • 6:00 PM

  • Monsanto North Campus 2291 Ball Dr, St. Louis (map)

St. Louis Machine Learning & Data Science Meetup

Artificial intelligence is poised to radically transform the modern workplace. David Karandish (CEO) and Dave Costenaro (Head of AI Design) from Ai Software will discuss trends on what is happening in AI, and specifically how AI and Natural Language Processing (NLP) can transform access to information for a company’s applications, documents, and people. The session will explore related technologies like text mining, named entity recognition, question answering, and neural nets, along with a discussion of system deployments to productize and pull it all together.

Please join us for networking and refreshments at 6:00 PM. The presentation will begin promptly at 6:30 PM.


OCT
17TH
2017

StampedeCon AI Summit

  • Tuesday, October 17, 2017

  • 8:00 AM – 5:00 PM

  • Eric P Newman Education Center, WUSTL Medical School - 320 S Euclid, St. Louis, MO 63110 (map)

Hear from expert speakers and network with other regional data scientists and machine learning practitioners at the inaugural StampedeCon AI Summit on October 17, 2017 in St. Louis, MO


SEPT
19TH
2017

St. Louis Machine Learning & Data Science – "Big Data isn't Evil, People Are"

  • Tuesday, September 19, 2017

  • 6:00 PM

  • 4240 Duncan Ave, St. Louis, MO (map)

Dr. Fredric Metzger is the Associate Chief of Staff for Mental Health Services at the VA St. Louis Health Care System. This talk will review how big data influences day-to-day operations in a mental health system that serves an average of 16,000 veterans a year. He will review the areas where big data adds value to clinical care, common pitfalls that end line users seem to make in utilizing large data systems, techniques to improve the utility of big data systems, and what developers can do to mitigate these problems.