O’Reilly Radar: Data & AI will showcase what’s new, what’s important, and what’s coming in the field—and the issues, tools, and best practices that are critical to an organization at any step of their data and AI journey. It’s a great opportunity to get an insider's view of where data and AI are going—and how to get there first.
Note: Today’s event is a rebroadcast of the October 14 edition of O’Reilly Radar: Data & AI.
Welcome
8:30am IST/2:00pm AEDT
Data and AI Trends: What You and Your Team Need to Know to Successfully Innovate
Rachel Roumeliotis, VP of data and AI content at O’Reilly, will present our latest findings on data and AI adoption.
Keynotes
8:50am IST/2:20pm AEDT
AI in Healthcare: Where It Helps—and Where It Doesn’t
Jeremy Howard, founding researcher at fast.ai, distinguished research scientist at the University of San Francisco, the chair of WAMRI, and chief scientist at Platform.ai, will discuss AI in healthcare: where it helps—and where it doesn’t.
9:10am IST/2:40pm AEDT
How to Keep Up with ML: What Can You Do to Avoid Being Left Behind?
Aurélien Géron, author of Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, second edition, will explain how to best absorb the concepts about machine learning—and how to keep up with the continually evolving topic.
AI Track
Hosted by Shingai Manjengwa
9:35am IST/3:05pm AEDT
What’s Still Missing from the Responsible AI Movement
Aileen Nielsen, Fellow in Law and Technology at ETH Zurich and Author of Practical Time Series Analysis and Practical Fairness
10:05am IST/3:35pm AEDT
MLOps from Zero to One
Noah Gift, Lecturer at UC Davis and Northwestern and Author of Practical MLOps: Operationalizing ML Models
10:40am IST/4:10pm AEDT
NeuralQA: A Usable Library for Question Answering on Large Datasets Using BERT-Based Models
Victor Dibia, Research Engineer in Machine Learning at Cloudera Fast Forward Labs
11:10am IST/4:40pm AEDT
Demystifying Scalable Machine Learning with the Spark Ecosystem
Adi Polak, Senior Software Engineer and Developer Advocate at Microsoft and Author of the Upcoming Book Machine Learning with Apache Spark
Data Track
Hosted by Theresa Johnson
9:35am IST/3:05pm AEDT
Prototype to Pipeline: Evolving from Data Exploration to Automated Data Processing
Sev Leonard, Senior Software Engineer at Fletch
10:15am IST/3:45pm AEDT
Watch Me Learn: Querying Data the Right Way
Vinoo Ganesh, Head of Business Engineering at Ashler Capital at Citadel
10:40am IST/4:10pm AEDT
Improving Data Quality with a Focus on Data Reliability and Observability
Barr Moses, Cofounder and CEO at Monte Carlo
11:10am IST/4:40pm AEDT
Train and Predict with Amazon Redshift ML Using SQL
Chris Fregly, Developer Advocate for AI and Machine Learning at Amazon Web Services
Antje Barth, Senior Developer Advocate for AI and Machine Learning at Amazon Web Services
Closing Address
11:40am IST/5:10pm AEDT
The Future of Data and AI
Tim O’Reilly, O’Reilly’s founder and CEO, will share his perspectives on the biggest challenges we face in data and AI, the most promising approaches to solving them, and the new market opportunities that are opening up for entrepreneurs and existing businesses.
