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 from industry leaders. Experts and newcomers alike will find valuable resources, insights, and networking opportunities.
Needs-based scholarships are available through the generous donations of our sponsors.
CALL FOR SPEAKERS NOW OPEN!
$299 Early Bird Pricing of $199 Available for a Limited Time
Topic: “Re-energize over all things Deep Learning”
Discussion of vision recognition systems with domain transfer among multiple, diverse sets of training images
Sponsored by SketchDev and Apex Systems.
Topic: “Reproducibility in Data Science”
Speaker: Leslie McIntosh, PhD
What is the big deal regarding reproducibility of scientific work?
How can data science and machine learning be part of the solution to some of the problems?
This talk will be an overview of the current state of the reproducibility crisis currently affecting many scientific fields as well as an overview of how machine learning, informatics, and statistics are providing solutions.
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.
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
Session 1. Using Artificial Intelligence & Natural Language Processing (NLP) to Streamline the Workplace:
David Karandish and Dave Costenaro from Ai Software will discuss trends on what is happening with AI in the workplace, 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 NLP technologies like text clustering/vectorization, named entity recognition, part of speech tagging, speech-to-text, text mining, and question answering.
Session 2. Language Translation using Deep Learning:
Google made a big leap in Language translation in 2016 by applying Deep Learning techniques. The architecture of the Neural Net was based on a Seq2Seq Long-Short Memory (LSTM) models with attention based decoders. Narayana Swamy will discuss the Google model and demo a simpler model with one encoder LSTM and one attention based decoder LSTM.