12 PM EST | 9.00 AM PST
ODSC Keynote: Provably Beneficial Artificial Intelligence
Stuart Russell, PhD | Smith-Zadeh Chair in Engineering | Director, Center for Human-Compatible AI | Professor, Computer Science | UC Berkeley
12.30 PM EST | 9.30 AM PST
Keynote: Making AI Work for Business
JR Gauthier, PhD | Senior Principal Data Scientist for Oracle
12.30 PM EST | 9.30 AM PST
AiX Keynote: How Companies Have Achieved Business Benefits with Kubernetes Powered MLOps
Abhinav Joshi | Senior Manager, Product Marketing for Red Hat | Will McGrath, Marketing Manager, Data Services | Red Hat
12.45 PM EST | 9.45 AM PST
Talk: XOPs and How to Quickly Demonstrate Business Value in Your Organization
Carlos Mendez | CEO and Founder for Datagran
1 PM EST | 10.00 AM PST
ODSC Keynote: The Future of Data of Science with Z by HP
Bruce Blaho, – HP Fellow & VP Chief Technologist, Advanced Compute & Solutions at Z by HP Inc.
Andrew Kemp, – Data Science Segment Lead at Z by HP Inc.
1.35 PM EST | 10.35 AM PST
Automate Machine Learning Tasks with OCI Data Science Jobs
Lyudmil Pelov, – Senior Principal Product Manager at Oracle
2 PM EST | 11.00 AM PST
A Graph Data Science Framework for Enterprise
Stuart Laurie, – Sr. Sales Engineer at Neo4j
2 PM EST | 11.00 AM PST
Composition in Machine Learning: in Models, Tools, and Teams
Dr. Bryan Bischof, – Head of Data Science | Adjunct Professor, Data Science at Weights & Biases
2.10 PM EST | 11.10 AM PST
The Power of Data Science – Real World Use Cases
Jay Fraser, – Director of Business Development of HP
2.40 PM EST | 11.40 AM PST
Analyzing MVNO Mobile Signal Data with Accelerated Analytics
Joe Gifford, – Solution Engineer, Data Science at Omnisci
2.45 PM EST | 11.45 AM PST
Managed AI: How To Avoid The Pitfalls of No-Code AI
Aaron Cheng, PhD, – Vice President of Data Science Product & Solutions of dotData
3 PM EST | 12.00 PM PST
Talk: Relationships Matter: Using Connected Data for Better Machine Learning
Phani Dathar, – Data Science Solutions Architect of Neo4j
3.20 PM EST | 12.20 PM PST
Profiling and Optimizing PyTorch Applications with the PyTorch Profiler
Sabrina Smai, – Product Manager of Microsoft
4.05 PM EST | 1.05 PM PST
How to Improve Data Workload Flexibility While Lowering Cloud Data Lake Costs by Over 50%
Arpan Roy, – Associate Solutions Architect of Qubole
4.10 PM EST | 1.10 PM PST
Streamlining Analytics with the S&P Global Marketplace Workbench
James Olejniczak, – Product Manager of Visualizations, Data Management Solutions of S&P Global
4.40 PM EST | 1.40 PM PST
Vertica Accelerator – The Fastest SaaS Analytics and Machine Learning – from Start to Finish
Pranjal Singh, – Data Science Solutions Architect at Vertica
4.50 PM EST | 1.50 PM PST
An Overview of Arize AI’s ML Observability Platform
Gabriel Barcelos, – Founding Engineer at Arize AI
5 PM EST | 2.00 PM PST
Track Keynote: Instilling Interpretability and Explainability into AI Projects
Scott Reed, – Trusted AI Data Scientist at DataRobot
5.15 PM EST | 2.15 PM PST
Z by HP’s Workstation Data Science Solutions
Lenny Isler, – BDM Data Science, AI, And ML at HP Inc.
5.30 PM EST | 2.30 PM PST
Connect You Apps, Run ML Models and Automate Workflows with Datagran
Carlos Mendez, – CEO and Founder at Datagran
5.50 PM EST | 2.50 PM PST
The Heat is On: Architecting for Hot Analytics
Zeke Dean, – Principal Solutions Engineer at Imply.io
6 PM EST | 3.00 PM PST
Best Practices of Effective ML Teams
Carey Phelps, – Head of Product at Weights & Biases
6.25 PM EST | 3.25 PM PST
Deliver AI & ML Models Faster, with Verta
Anthony Lee, – Head of AI/ML Sales Engineering at Verta
6.30 PM EST | 3.30 PM PST
DataRobot AI Cloud Demo: Massive Business Impact from Extreme Automation
Andrea Kropp, – Customer Facing Data Scientist at DataRobot
7 PM EST | 4.00 PM PST
Building ML and AI Applications with a Purpose-Built Time Series Database
Sam Dillard, – Senior Product Manager at Influxdata
7 PM EST | 4.00 PM PST
Proactive Data Quality: Why Culture Comes Before Tools
Tim Woods, – Head of Sales at Datafold
7.10 PM EST | 4.10 PM PST
Teaching Data Science Effectively
Robert Schroll, PhD, – Data Scientist in Residence at The Data Incubator
7.50 PM EST | 4.50 PM PST
Getting Started with Dask Using Saturn Cloud
Mitali Sanwal, – Senior Data Scientist at Saturn Cloud
12 AM EST | 9.00 AM PST
ODSC Keynote: How Can You Trust Machine Learning?
Carlos Guestrin, PhD | Professor, Computer Science | Stanford University
12.30 AM EST | 9.30 AM PST
ODSC Keynote: Powering the Next Generation of Apps with GPT-3, Codex with the OpenAI API
Dom Divakaruni, Group Product Manager, Microsoft Azure at Microsoft
Peter Welinder, PhD, VP, Product and Partnerships at OpenAI
1 PM EST | 10.00 AM PST
ODSC Keynote: Changing the Narrative: The Importance of Responsible AI and Human-AI Collaboration
Lama Nachman, Intel Fellow, Director of Human & AI Systems Research Lab at Intel
1.30 PM EST | 10.30 AM PST
Think Like a Human: Develop Intuition in Deep Learning Modeling
Jun Qian, Senior Director of Machine Learning at Oracle
1.35 PM EST | 10.35 AM PST
Real-Time Feature Engineering with a Feature Store
Adi Hirschtein, VP of Product at Iguazio
1.45 PM EST | 10.45 AM PST
Talk : Data-Centric Design Principles for AI Engineering
Vincent Sunn Chen, Founding Engineer, Lead ML Engineer of Snorkel AI
1.45 PM EST | 10.45 AM PST
Talk: ML Ops: Doing the Things to Preserve Tomorrow’s Machine Learning Sanity Today
Seth Juarez, Principal Cloud Advocate at Microsoft
2 PM EST | 11.00 AM PST
Talk : (Machine) Learning to Live with Wildfires – Mitigating Risks of Climate Change with Accelerated Analytics
Dr. Mike Flaxman, – Product Lead of Omnisci I Abhishek Damera, – Data Scientist of Omnisci
2 PM EST | 11.00 AM PST
Track Keynote: Stand Up for Ethical AI – Bringing Trust Back into AI Through Open Source!
Animesh Singh, IBM Distinguished Engineer | CTO, Watson Data and AI OSS Platform of IBM
2.10 PM EST | 11.10 AM PST
Portable, Light-Weight, End-to-End AutoML: All the Power, None of the Pain
Alex Robson, PhD, – Data Scientist of dotData
2.20 PM EST | 11.20 AM PST
Talk: Data Science Performance isn’t What You Think: the Journey from Research to Production of the Data Science Workstation
David A. Liu, – Lead AI Solutions Engineer of Intel
2.35 PM EST | 11.35 AM PST
Talk: Azure Machine Learning Enterprise Security Promises and Best Practices
Dennis Eikelenboom, Program Manager, Azure ML of Microsoft
2.35 PM EST | 11.35 AM PST
Track Keynote: Increasing Accuracy with Human Labeling and Weak Learning
Elliot Branson, – Director of AI and Engineering at Scale AI
2.45 PM EST | 11.45 AM PST
Weak Supervision in Practice
Patrick Kolencherry, – Head of Platform Marketing at Snorkel AI
3 PM EST | 12.00 PM PST
Talk: The Matrix: Networks, Stock Selection and ESG Outcomes
Temilade Oyeniyi, CFA, – VP, Quantamental Research Group at S&P Global
3.10 PM EST | 12.10 PM PST
Track Keynote: Unlocking Climate-Related Data Through Open Source and Data Mesh Architecture
Vincent Caldeira, – Chief Technologist (FSI) at Red Hat I Erik Erlandson, – Senior Principal Software Engineer at Red Hat
3.10 PM EST | 12.10 PM PST
Track Keynote: Connect You Apps, Run ML Models and Automate Workflows with Datagran
Yaron Haviv, – Co-Founder and CTO | Creator at Iguazio | Nuclio & MLRun I Nick Brown, – Senior Data Scientist at IHS Markit
3.30 PM EST | 12.30 PM PST
Track Keynote: Trustworthy Evaluation Frameworks for Natural Language Generation Technologies
Mona Diab, PhD, – Research Scientist | Founder and Director at Facebook AI | GW NLP lab CARE4Lang
3.45 PM EST | 12.45 PM PST
See How AtScale’s Semantic Layer Impacts BI & AI Performance on Popular Cloud Data Platforms
Carey PhelpsDaniel Gray, Vice President, Sales Engineering at AtScale
4.10 PM EST | 1.10 PM PST
Talk: Scalable Natural Language Processing Using BERT, OpenVINO, AI Kit, and Open Data Hub
Kyle Bader, – Data Foundation Architect at Red Hat I Ryan Loney, – Product Manager at Intel
4.10 PM EST | 1.10 PM PST
Track Keynote: Break Out of Your Data Bubble
Victor Ghadban, – Head of Data Science and Data Evangelist at Explorium
4.20 PM EST | 1.20 PM PST
Metrics Store as an Interface to Data
Allegra Holland, – Go To Market Strategist at Transform
4.55 PM EST | 1.55 PM PST
The Role of External Data in ML and BI Success. And, How to Easily Access it
Victor Ghadban, – Head of Data Science and Data Evangelist at Explorium
5 PM EST | 2.00 PM PST
Talk: Iterate Automated Feature Engineering: A Data Scientist’s Guide to Faster, Better Features
Yusuke Muraoka, – Principal Data Scientist at dotData
5 PM EST | 2.00 PM PST
Talk: ML Observability – A Critical Piece of the ML Stack
Aparna Dhinakaran, – Co-founder and CPO at Arize AI
5.30 PM EST | 2.30 PM PST
Talk: Data Scientists & External Data Discovery: A Match Made in Heaven
Victor Ghadban, – Head of Data Science and Data Evangelist at Explorium
5.50 PM EST | 2.50 PM PST
Talk: A ModelOps Approach to Address Ethical Concerns in AI Systems
May Masoud, – Data Science Advisor at SAS
5.50 PM EST | 2.50 PM PST
Track Keynote: Why Data Lakes are Critical for AI, ML and IoT
Brian Flūg, – Solutions Architect at Qubole
6 PM EST | 3.00 PM PST
Talk: How to Build a Trusted AI System
Haniyeh Mahmoudian, PhD, – Global AI Ethicist at DataRobot
6.20 PM EST | 3.20 PM PST
Track Keynote: What is MLOps, DataOps, and DevOps?
Manasi Vartak, PhD, – Founder and CEO at Verta
7 PM EST | 4.00 PM PST
Talk: Privacy-Preserving Machine Learning: Split Learning and Privacy Attacks
Grzegorz Gawron, – Senior Staff Software Engineer at LiveRamp
1.30 AM EST | 10.30 AM PST
Talk: Mental Models for Building Your Career in Data Science
Chirasmita Mallick | Principal Data Scientist | G2
2.15 PM EST | 11.15 AM PST
Talk: Beyond Prediction: What Makes a Senior Scientist
Arwen Griffioen, Team Lead, Data Science at Zendesk
2.20 PM EST | 11.20 AM PST
Track Keynote: 100x More Features at Scale with Feature Engineering Automation
Sharada Narayanan, Senior Data Scientist at dotData
2.50 PM EST | 11.50 AM PST
Talk: How to De-risk AI Development with Design Thinking
Cal Al-Dhubaib, CEO & Data Scientist at Pandata
3 PM EST | 12.00 PM PST
Talk: How Building a Personal Brand Can Help You Establish a Career in DS Field
Ken Jee, Head of Data Science at Scouts Consulting Group
3.10 PM EST | 12.10 PM PST
Talk : Building Operational Pipelines for Machine and Deep Learning
Yaron Haviv, Co-Founder and CTO | Creator of Iguazio | Nuclio & MLRun
4.10 PM EST | 1.10 PM PST
Talk: Denormalization: A Brief History and Its Role in the Modern Data Stack
Nick Handel, CEO and Co-Founder at Transform
5.00 PM EST | 2.00 PM PST
Talk : Best Practices for Data Annotation at Scale
Jai Natarajan, – Vice President, Strategic Business Development of iMerit
5.30 PM EST | 2.30 PM PST
Talk : How to Prepare for the Future of Data Science
Daliana Liu, – Senior Data Scientist of Amazon I Allie Miller, – Global Head of ML BD, Startups and VC of AWS
5.50 PM EST | 2.50 PM PST
Talk: The Future of Data Science and Machine Learning at Enterprise Scale
Brian Flūg, Solutions Architect of Qubole
5.15 PM EST | 3.15 PM PST
Talk: Introductory guide to NLP for data scientists
Amita Gajewar, – Senior Applied Scientist of Microsoft
6.40 PM EST | 3.40 PM PST
Talk: 3 Reasons Why ML Code is Not Like Software
Conrado Miranda, PhD, – CTO at Verta
7 PM EST | 4.00 PM PST
Talk : Transitioning from an Analyst to Data Science Role
Marwan Kashef, – Data Scientist | Instructor | Mentor at RVezy
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