Day 1
Monday, November 2
All times are US Pacific Time (PT)
9:00 am PT
Keynote: Impactful Data Science with RMDS Ecosystem
Dr. Alex Liu – CEO/Founder RMDSLab
Track 1
Innovative Methods with Data Science & AI
Track 2
Data and AI for COVID-19 & Healthcare
Track 3
Machine Learning, Deep Learning & AI
9:30 am PT
Future of Workplace – Lead with AI
Merve Hickok – Founder at Lighthouse Career Consulting, aiEthicist.org
The Road to Re-opening: How Cities are Assessing COVID Risk
Jeanne Holm – Chief Data Officer of City of LA
Uncertainty Based Active Learning for Object Detection
Srinivas Atreya – Chief Data Scientist, RoundSqr
10:00 am PT
Successfully Generating Impact with Data science & AI: Lessons Learned from Scaling AI, MLOps and DevOps
Dr. Eva-Marie Muller-Stuler – Practice Leader for Advanced Analytics and AI, IBM Middle East and North Africa
Crisis-Ready: A New Model of Data Science for Public Health Emergency Response
Dr. Andrew Schroeder – VP Research and Analysis, Direct Relief
Production of 3D Bioartificial “Organoids” Using Quantum-enabled deep learning Neural Networks
Dr. Raul Rodriguez – Dean, School of Business, Woxsen University
10:30 am PT
Data Privacy of User-Generated Content
Matthew Schneider – Assistant Professor, Drexel University
Diet and Digitalization during COVID-19
Odularu Gbadebo – Researcher, ODU
Causal AI: A Step Towards True AI
Dr. Darko Matovski – CEO, causaLens
11:00 am PT
How AI Can Save Lives With the Help of Satellite Imagery.
Ganes Kesari – Head of Analytics at Gramener
Applications of Machine Learning in High-Impact Retail and Consumer Products Industry Challenges
Raksha Pai – Senior Data Scientist, IBM
11:30 am PT
Reimagining Education and Training in an Artificially-Intelligent World
Dr. David Guralnick – President and CEO, Kaleidoscope Learning
AI & Healthcare: Future & Threats
Dr. Priyanka Mathur – CEO of MediPocket
12:00 pm PT
Keynote: We Have Two Possible Futures: Mad Max or Star Trek
Salim Ismail – Founder and Chairman, OpenExO and EXO
Track 1
Innovative Methods with Data Science & AI
Track 2
Data and AI for COVID-19 & Healthcare
Track 3
Machine Learning, Deep Learning & AI
12:30 pm PT
How Google Uses AI & Machine Learning in Enterprise
Rich Dutton – Head of Machine Learning for Corporate Engineering Google
Know Your Community: Data Power to the People
Preston Mills – Community Data Manager, City of Los Angeles
Efficient Uncertainty Estimation for Machine Learning Classifiers
Dr. Matteo Sesia – Assistant Professor of Data Science and Operations, University of Southern California, Marshall School of Business
1:00 pm PT
Panel: Data Entrepreneurship and Investment in a Changing World
Panorama Puzzle of COVID-19 Patterns with Spatiotemporal Data
Dr. Bao Shuming – Director of China Data Institute, Michigan, USA
Python Tools for Scaling Data Science
Aaron Richter – Senior Data Scientist, Saturn Cloud
1:30 pm PT
Panel: Data Entrepreneurship and Investment in a Changing World
How Human Mobility Data Became the #1 Data Source to Navigate the Pandemic and its Recovery
Thomas Walle – CEO & Co-founder at Unacast
Machine Learning for Predictive Maintenance
Dr. John Jiang – Lead Big Data Architect at Walmart
Day 2
Tuesday, November 3
All times are US Pacific Time (PT)
9:00 am PT
Keynote: Making AI Work in Practice: Pragmatic Lessons Learned From the Front Lines
Usama Fayyad – Chairman & CEO, Open Insights
Track 1
Innovative Methods with Data Science & AI
Track 2
Data and AI for COVID-19 & Healthcare
Track 3
Machine Learning, Deep Learning & AI
9:30 am PT
Transformational Data Strategy: Creating a Data Driven Leader
Richard Fox – VP Head of Analytics at Qdoba Restaurant Corporation
Calling All Data Scientists for the Common Good in Cities
Eva Pereira – Deputy Chief Data Officer, City of Los Angeles
Conversational Analytics: The New Paradigm for Getting Insights from Data
Anand Ranganathan – Chief AI Officer, Unscrambl, Inc
10:00 am PT
Geospatial AI at Scale: Challenges and Innovations
Dr. Giacomo Vianello – Lead Data Scientist，Cape Analytics
Evaluating location-based risk of exposure to COVID-19
Dorit Nevo & Yueyang Li & Feng Wang & Junxiong Tang & Tong Chen
The Role of Data Visualization in Big Data Analytics
Chong Ho Yu – Professor, Azusa Pacific University
10:30 am PT
Become A Valuable “Digizen” in the Digital Economy
Dr. Wallace Lynch – CEO Alpha Ecosystem
Los Angeles City Reopening Risk Evaluation
Joy Wanying Qian & Pengyue Jia & Yi’an Wang & Jessie Ge Qu & Feng Zhang
How to Make Sense of No Sense Data
Raj Joseph – CEO, DQLabs.ai
11:00 am PT
Who Are Data Scientists and How Do We Train Them?
Hamit Hamutcu with Usama Fayyad
Data-Driven Forecasts of Local COVID-19 Risk in Los Angeles
Mohammad Mehrabi & Greg Faletto
AI for Assisting First Responders
Dr. Tom Lu – Senior Researcher, NASA Jet Propulsion Lab
11:30 am PT
Making the Black Box of AI More Transparent: A Dive Into XAI
Ciro Donalek – CTO & Cofounder, Virtualitics
An Application for Calculating COVID-19 Activity Risk
Jeev Prayaga & Gyan Prayaga & Ram Prayaga & Rena Brar Prayaga
Drawing Insights from Customer Feedback Using NLP
Peter Grabowski – Austin Site Lead, Enterprise Machine Learning, Google
12:00 pm PT
Machine Learning & AI: Demystified for TV Advertising
Diane Yu – Chief Technology Officer, FreeWheel – A Comcast Company
12:30 pm PT
Renee Cummings – Criminologist, Criminal Psychologist, AI Ethicist, Data Activist, Founder and CEO, Urban AI, LLC
COVID-19 Risk Estimation for Los Angeles County using a Bayesian time-varying SIR-model
Bhaskar Krishnamachari
The State of Blockchain in Education
Ryan Eshaghi – President UC Irvine Blockchain
1:00 pm PT
Data Analytics for Social Impact
Stephen Skinner – Visual Data Architect, Visualization for Social Good
What is behind the RMDS COVID19 Risk Platform
RMDS Web Team
Personalization at Scale While Keeping Data Ethics and Privacy in Mind
Preston Mills – Community Data Manager, City of Los Angeles
1:30 pm PT
Enhancing Career Success by Making Data Driven Decisions
Anuj Saini – Manager Specialist, Sapient Global Markets
Machine Learning Driven Market Strategy During COVID-19
Anshul Agarwal – Data Science Manager, Home Partners
The Myth and Reality of Deep Neural Networks
Charles Ling – Professor, Computer Science at Western University
2:00 pm PT
Less is More – Minimum Viable Data for Effective Business Decisions
Lake Dai – Adjunct Professor Carnegie Mellon University
The Next Generation of Customer Support Chatbots
Natalia Sturgill – Data Science Manager, Home Partners
Innovative Research with Data Science and Versatile Segmentation AI
Dr. Satoshi Masuda – President Japan information Technology Association
IM Data Conference 2020
Online Event | November 2 – 3
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