Innovative Methods with Data Science and AI:

The IM Data Conference is now in its 3rd year of uniting the brightest industry professionals across various data science and technical fields to observe the innovative methods in data science, machine learning and AI. The IM Data Conference is an international, two-day, multi-track conference for data scientists, machine learning engineers, analysts, data science managers and C-level decision makers plus an additional day of pre-conference training.

IM Data Conference Schedule:

• Pre-Conference Trainings: Tuesday, October 26
• IM Data Conference: Wednesday, October 27- Thursday, October 28

What you’ll learn:

Observe the newest developments in data science & AI and how they are affecting the way research is being conducted, computer vision, deep learning, neural networks, Tensorflow, and NLP. Top-of-mind topics, such as data ethics, data privacy, governance and security will also be covered.

Expect to hear from Speakers from Fortune 500 Companies, top organizations, and distinguished academic institutions, sharing use cases about their recent research and how their projects directly benefit the technical community.

IM Data Conference Tracks:

• Data Science and AI for Finance and the Economy
• Impactful AI for Social Good
• Machine Learning, Deep Learning, and AI

Pre-Conference Trainings:

Kick off the IM Data Conference with small-group, online Pre-Conference Training workshops on Tuesday, October 26th! Leverage your opportunity to sharpen your technical skills in fields of your choice, and develop new ones, no matter where you are in your data science journey.

Pre-Conference Training Topics:

• Virtual Data Science Learn-a-thon with KNIME
• Getting Insights from Text Data (collecting, cleaning, and analyzing text data)
• Current Data Science & Machine Learning Applications in the Medical & Aerospace Industry

IMDATA Bundle: Includes 3 Training Sessions and General Admission Conference Ticket

• Topic 1: Virtual Data Science Learn-a-thon with KNIME
• Instructor(s): Dr. Satoru Hayasaka, Scott Fincher, Corey Weisinger: Data Scientists @ KNIME

• Topic 2: Current Data Science & Machine Learning Applications in the Medical & Aerospace Industry
• Instructor(s): Dr. Kyongsik Yun, Technologist at NASA/Jet Propulsion Lab

• Topic 3: Getting Insights from Text Data (collecting, cleaning, & analyzing text data)
• Instructor(s): Adriana Summerow, Founder & Data Scientist @ Opening Data