A Look Into ODSC West 2020 Focus Areas

Original article was published by ODSC – Open Data Science on Artificial Intelligence on Medium

A Look Into ODSC West 2020 Focus Areas

This October 27–30, ODSC West Virtual will be focusing on the topics that are trending in data science in 2020 and into 2021. Although you might have heard about some of these focus areas a lot over the last year or so, they are constantly evolving and pushing the boundaries of the data science field.

[Related article: 10 Training Sessions You Can’t Miss at ODSC West 2020]


Experts in Machine Learning and Deep Learning Track will discuss the latest advances, trends, and models in these rapidly expanding fields. Creators and top practitioners will share their knowledge and expertise in talks, tutorials, and workshops on the latest models and trends.

Confirmed speakers include

Jeannette M. Wing, PhD│Professor of Computer Science│Columbia University│Former Corporate Vice President│Microsoft Research.

Dr. Jon Krohn│Chief Data Scientist│untapt│Author of Deep Learning Illustrated



Explore the rapidly advancing field of NLP with the core practitioners and contributors. Learn about the latest advancements and trends, including pre-trained models, with use-cases focusing on deep learning, speech-to text, and semantic search.

Confirmed speakers include

Joan Xiao, PhD│Principal Data Scientist│Linc Global

David Talby, PhD│CTO│Pacific AI, John Snow Labs

Research Frontiers

Data Science is advancing at a tremendous pace, with new research and models announced every month. To help data scientists keep abreast of the latest advances, this track brings the most relevant information to you. World-class academics, researchers, and professionals summarize the latest research across focus areas and help identify what’s important.

Confirmed speakers include

Sriram Sankararaman, PhD│Professor of Computer Science│University of California — Los Angeles

Gerald Quon, PhD│Assistant Professor, Machine Learning & AI Group│UC Davis


The Data Science Kick-start track offers many introductory level talks, tutorials, and workshops to get you started building in-demand skills. Our expert speakers and presenters offer world-class instruction, and give you invaluable insights to help you learn what matters most. We cover the most important tools, topics, and techniques in use to ensure you hit the ground running.

ML for Programmers

With the rapid growth of Artificial Intelligence comes an increasing demand for Machine Learning engineers and programmers. An ML engineer works at the intersection of software engineering and data science. Learn how to build on your programming skills to engineer the next generation of artificial intelligence-enabled software. On the ML for Programmers track, you’ll explore everything from data wrangling, modeling, and workflow, to essential deep learning and machine learning frameworks.

Data Visualization

The data visualization track brings together the world’s most creative minds that are changing the way we visualize, understand, and interact with data. Join a community of designers, data scientists, and developers to learn the art of storytelling, information communication, and data visualization using the latest open source tools and techniques.

Confirmed speakers include

Ian Johnson│User Experience Engineer│Google│Organizer│Bay Area D3

DataOps & Management

As data science extends its reach across an enterprise, the need for better management, workflow, production and deployment practices to meet the challenges of deploying and monitoring models in production, managing data science workflows and teams, and understanding ROI increases. Learn how to effectively incorporate data science practice into the wider business process with use cases, best practices, and stories from the field.

Confirmed speakers include

Alex Ratner, PhD│Assistant Professor| UW│Co-founder & CEO | Snorkel AI

Anna Petrovicheva│Chief Technical Officer│OpenCV.ai


Grow your skillset with a unique learning path that will start in July and take you through October. With many opportunities to learn from some of the best and brightest minds in data science and AI, you’ll leave the Mini-Bootcamp armed with new tools and knowledge that can be immediately applied to your work. The Mini-Bootcamp learning path will include

  • Pre-Bootcamp On-Demand Training covering the fundamentals of programming with Python, statistics, and SQL
  • Pre-Bootcamp Live Training with Dr. Jon Krohn, renowned instructor and author of Deep Learning Illustrated
  • A Virtual Hackathon that gives you an opportunity to put your new skills to the test
  • 3 or 4-day Bootcamp at the conference where you’ll have access to
  • 6 sessions covering data science fundamentals
  • 50+ training sessions, workshops, and talks
  • The Virtual AI Expo and Demo Talks
  • The Virtual Career Lab and Expo

Don’t forget to join us this October to learn how advancements in these focus areas are pushing the boundaries of what data scientists can do. Plus you’ll save on your pass when you register early. We’ll also be updating our speaker page with new expert speakers soon, so be sure to check back frequently.