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100+ Free Sessions You Can See at ODSC East 2022 100+ Free Sessions You Can See at ODSC East 2022
ODSC East 2022 is this April 19th-21st!! From Tuesday-Thursday there will be a number of free sessions that you can attend... 100+ Free Sessions You Can See at ODSC East 2022

ODSC East 2022 is this April 19th-21st!! From Tuesday-Thursday there will be a number of free sessions that you can attend either in-person or virtually with a Bronze Pass. Register for a free pass now and check out these sessions below.

Tuesday, April 19th

All free sessions on Tuesday will be virtual-only

Keynotes:

  • The Big Wave of AI at Scale | Luis Vargas, PhD | Partner Technical Advisor | Microsoft
  • Is Your ML Secure? Cybersecurity and Threats in the ML World | Dr. Hari Bhaskar, PhD, Director – Data Science & AI and  Jean-Rene Gauthier, PhD, AI Platform Architect | Oracle

Business Talks:

  • Can We Let AI be Great? Practical Considerations in Designing Effective and Ethical AI Products | Masheika Allgood | Founder | AllAI Consulting, LLC
  • Timing IoT Devices to Slash Carbon Emissions at Scale | Gavin McCormick | Cofounder and Executive Director | WattTime

Demo Talks:

  • What to Do When Your Data Gets Big | Nathan Ballou | Senior Data Scientist | Saturn Cloud
  • MLOps: From 0-60 with Pachyderm | Jimmy Whitaker | Data Science Evangelist | Pachyderm
  • Building Provenance and Reproducibility into ML Systems | Adam Pocock, PhD | Machine Learning researcher | Oracle
  • Supercharging Geospatial Analysis In Your Data Science Workflow | Shan He | Senior Director of Engineering | Foursquare
  • Introduction to WSL2 for Data Science with Z by HP | Akram Dweikat | Network Economics (ML), Global Data Science Z by HP Ambassador | Deliveroo
  • Run Azure Machine Learning Anywhere in Multi-cloud or on Premises | Doris Zhong | Product Manager | Microsoft
  • A New Data Format to Deliver Real-Time Data at Massive Scale | Denis Coady | Technical Product Manager | Molecula
  • Supercharging MLOps with Composability, Automation, and Scalability | Aurick Qiao, PhD, Chief Executive Officer and Tong Wen, PhD Architect and Director of Engineering | Petuum
  • Streaming Growth | Sarah Manning | Senior Director of Engineering | Dataminr

Machine Learning:

  •  What I love and hate about Dask | Matthew Rocklin, PhD | CEO and founder | Coiled
  • The Power Of Hexagons: How H3 & Foursquare Are Transforming Spatial Analytics | Nick Rabinowitz | Senior Staff Engineer | Foursquare
  • Z by HP Panel Discussion on the Diverse Role of Data Science in Education | Max Urbany, Dan Chaney, Kristin Hempstead | Z by HP

Machine Learning Safety & Security:

  • Unsolved ML Safety Problems | Dan Hendrycks | Research Intern | DeepMind
  • Security Operations for Machine Learning at Scale with MLSecOps | Alejandro Saucedo Engineering Director, Machine Learning | Seldon

MLOps & Data Engineering:

  • MLOps: Relieving Technical Debt in ML with MLflow, Delta and Databricks | Sean Owen, Principal ML Solutions Architect and Yinxi Zhang, PhD, Senior Data Scientist | Databricks
  • Human-Friendly, Production-Ready Data Science with Metaflow | Ville Tuulos Co-Founder | Outerbounds
  • Drift Detection in Structured and Unstructured Data | Keegan Hines, PhD | VP of ML, Adjunct Professor, Chair | ArthurAI, Georgetown, CAMLIS
  • MLOps in the Enterprise | Abe Omorogbe | Product Manager | Microsoft

NLP:

  • Emotion Detection with Natural Language Inference | Serdar Cellat, PhD | Lead Machine Learning Scientist | Y Meadows

Responsible AI:

  • Open-source Best Practices in Responsible AI | Violeta Misheva, PhD and Daniel Valece
  • Need of Adaptive Ethical ML Models in Post Pandemic Era | Sharmistha Chatterjee, Senior Manager of Data Science and Juhi Pandey Senior Data Scientist | Publicis Sapient
  • Ending the Data Roulette Game: A Simple Approach to The Infinitely Complex Ransomware Problem | Jerald Ray | Chief Operations Officer | SecureAge Technology
  • Responsible AI for Customer Product Organizations | Aishwarya Srinivasan | Data Scientist | Google Cloud AI Services

Wednesday, April 20th

Keynotes:

  • Overconfidence in Machine Learning: Do Our Models Know What They Don’t Know? | Padhraic Smyth, PhD | Chancellor’s Professor | UC Irvine
  • Bridging the Gap Between Data Scientists and Decision Makers | Ken Jee | Head of Data Science at Scouts Consulting Group LLC, Z by HP Global Data Science Ambassador | Virtual

Track Keynotes:

  • Making Data Useful  | Cassie Kozyrkov, PhD | Chief Decision Scientist | Google
  • Accelerate AI/ML Deployments with Enterprise-grade MLOps | Matt Akins, Enterprise OEM Solutions, NVIDIA | Abhinav Joshi Director, Product Marketing | Red Hat

Business Talks:

  • What do lawyers need (and want) from Legaltech? | Dr. Felicity Bell | Research Fellow | University of New South Wales
  • Managing Data Science Projects via an Agile Framework | Jeffrey Saltz, PhD | Associate Professor | Syracuse University
  • Creating Data to Enable Multilingual AI: What Can Go Wrong and Ways to Mitigate It  | Olga Beregovaya | VP, AI Innovation | Welocalize, Inc.
  • What analytics leaders should know about Human in the Loop | Keith McCormick | Chief Data Science Advisor | CloudFactory
  • FedEx Dataworks: How the Shipping Giant is Tapping into their Rich Data Ecosystem to Drive Better Decision Making Across the Entire Supply Chain | Tony Kreager | Senior Vice President, Data Engineering & Data Science | FedEx Dataworks 
  • Data Science Innovation with Z by HP Workstations and Software Stack | Bradley Franko, North America Business Development Manager | Hunter Kempf, Data Scientist in cybersecurity | Z by HP
  • How Can We Make Machine Translation Responsive and Responsible? | Arle Lommel | Senior Analyst | CSA Research
  • AI for Clinical Care Planning and Decision Support | Sadid Hasan, PhD | Executive Director of Artificial Intelligence | CVS Health | Virtual

Demo Talks:

  • What to Do When Your Data Gets Big | Nathan Ballou | Senior Data Scientist | Saturn Cloud
  • Noiseless Anomaly Detection with Streaming Graph A.I. | Ryan Wright | Founder and CEO | thatDot
  • Building the Best AI Infrastructure Stack to Accelerate Your Data Science | Robert Magno | Sales Engineer | Run:Ai
  • Accelerating MLOps with Kubernetes, CI/CD & GitOps | Audrey Reznik | Sr. Principal Software Engineer | Red Hat
  • Get to the GiST: Using Postgres to beat Big O | Ryan Urabe | CTO and co-founder | Dataplor
  • Snowplow: Creating AI-ready Data for Better Models and Predictions | Alexander Dean Co-founder and CEO | Snowplow Analytics
  • From Data to Decisions: Make your Machine Learning Models Mean more with Mathematical Optimization | Dr. Alison Cozad | Optimization Engineer | Gurobi
  • A Graph Data Science Framework for the Enterprise | Dave Voutila | Manager, Sales Engineering | Neo4j, Inc
  • Reimagine Clinical Research with the Power of Artificial Intelligence Sanjay Patil Senior Client Solutions Partner | Quantiphi
  • The Hidden Layers of Tech Behind Successful Data Labeling | Glen Ford | VP of Product | iMerit
  • MLOps: From 0-60 with Pachyderm | Jimmy Whitaker | Data Science Evangelist | Pachyderm
  • Data Observability in 10 Minutes | Kevin Hu | Co-founder and CEO | Metaplane
  • Creating and Operating ML Models from Event-based Data Using Feature Stores and Feature Engines | Dr. Charna Parkey | VP of Product | Kaskada
  • HPCC Systems – The Kit and Kaboodle for Big Data and Data Science | Bob Foreman | Senior Software Engineer | LexisNexis Risk Solutions | Virtual
  • InfluxDB: The Database for Your Time Series Data Science Problems  | Anais Dotis-Georgiou | Developer Advocate | Influxdata | Virtual
  • Accelerating MLOps with Kubernetes, CI/CD & GitOps | Audrey Reznik | Sr. Principal Software Engineer | Red Hat | Virtual
  • Creating and Operating ML Models from Event-based Data Using Feature Stores and Feature Engines | Dr. Charna Parkey | VP of Product | Kaskada | Virtual
  • Reimagine Clinical Research with the Power of Artificial Intelligence | Sanjay Patil | Senior Client Solutions Partner | Quantiphi | Virtual

Data Analytics:

  • Accelerating Your Advanced Analytics & ESG  (Environmental, Social, and Governance) Journey | James Olejniczak | Product Manager of Visualizations, Data Management Solutions | S&P Global Market Intelligence
  • Using Apache Kafka and Apache Pinot for User-Facing, Real-Time Analytics | Karin Wolok, Header of Developer Community and Tim Berglund, Developer Relations Advisor | StarTree
  • How to Supercharge Spark with Apache Iceberg | Ryan Blue | Co-creator, Committer, Co-founder and CEO | Apache Iceberg, Apache Spark, Tabular | Virtual
  • WeightWatcher, an Open-Source Diagnostic Tool for Analyzing Deep Neural Nets Michael Mahoney, PhD | Statistics Professor, Faculty Scientist | UC Berkeley, Lawrence Berkeley National Laboratory | Virtual

Deep Learning:

  • Deep Learning Enables a New View in the Agriculture Industry | Jennifer Hobbs, PhD | Director of Machine Learning | Intelinair
  • The Wisdom of the Cloud | Allen Downey, PhD | Computer Science Professor | Olin College and Author of Think Python, Think Bayes, Think Stats and Isaac Slavitt | Co-founder, Data Scientist | DrivenData

Machine Learning:

  • When SQL is Not the Best Answer: Identifying “Graph-y” Problems and When Graphs Can Help Dr. Clair J. Sullivan “Data Science Advocate” Neo4j, Inc.
  • From Experimentation to Products: The Production ML Journey | Robert Crowe | TensorFlow Developer Engineer | Google
  • Best Practices for Data Annotation at Scale | Jai Natarajan | Vice President, Strategic Business Development | iMerit
  • How Enterprises use MLOps Automation to Continuously Roll out New AI Services Bill Bodei | Vice President of Sales | Iguazio
  • Concepts and Conceptual Leaps | Ramakrishna Vedantam | Research Scientist, Associate Professor  | Facebook AI Research
  • Data Science and AI at Moderna | Andrew Giessel, PhD | Director of Data Science and Artificial Intelligence | Moderna
  • Methods and Tools for Time Series Data Science Problems with InfluxDB, an Open-Source Time Series Database | Anais Dotis-Georgiou | Developer Advocate | Influxdata | Virtual
  • Best Practices for Data Annotation at Scale | Jai Natarajan | Vice President, Strategic Business Development | iMerit | Virtual
  • A New Indexing Technique for Quickly Fuzzy-Matching Entire Dataset Records | Dan S. Camper | Thaumaturge | HPCC Systems Solutions Lab | Virtual

MLOps & Data Engineering:

  • Quine: An open source Streaming Graph for Event-Driven Data Pipelines | Ryan Wright | Founder and CEO | thatDot
  • AI Observability: How To Fix Issues With Your ML Model | Danny D. Leybzon | MLOps Architect | WhyLabs
  • Tower of Babel: Making Apache Spark, Apache Mahout, Kubeflow, and Kubernetes Play Nice | Trevor Grant | Managing Partner  | Aboriginal Armadillo | Virtual
  • Simplifying MLOps by Taking Storage Worries out of the Equation | Miroslav Klivansky | Field Solution Evangelist – AI and Analytics | Pure Storage | Virtual

Responsible AI:

  • Leveling Up Your Organization’s Capacity for Data-informed Decisions | Mona Khalil | Data Science Manager | Greenhouse Software
  • Just Machine Learning | Tina Eliassi-Rad, PhD | Professor | Northeastern University
  • Trustworthy AI Jeannette M. Wing, PhD | Avanessians Director, Data Science Institute, Professor of Computer Science | Columbia University | Virtual

Thursday, April 21st

Keynotes:

  • Making Story Computable: The Future of Co-creative Entertainment | Hilary Mason | Co-Founder | Hidden Door
  • Bridging the Gap Between Data Scientists and Decision Makers | Ken Jee | Head of Data Science at Scouts Consulting Group LLC | Z by HP, Global Data Science | Ambassador
  • AI in Finance: Examples and Discussion | Manuela Veloso, PhD | Head of AI Research, Professor | J.P. Morgan Chase AI Research, CMU | Virtual
  • Data Science and AI in Digital Transformation: Digital Can Lead to Blindness | Usama Fayyad, PhD | Chairman & Founder, Inaugural Exec Director, Institute for Experiential AI & CS Professor | Open Insights, Northeastern University | Virtual

Track Keynotes:

  • MLOps Beyond Training: Simplifying and Automating the Operational Pipeline | Yaron | Haviv | Co-Founder & CTO | Iguazio
  • Model Registry with Open Source Tools: Git, GitHub and CI/CD | Dmitry Petrov, PhD | CEO | Iterative.ai

Demo Talks:

  • Perform Detailed Spatial Analysis with SafeGraph and CARTO | Trevor Nederlof, | Fletcher Berryman | Data Scientist, Product Manager | CARTO SafeGraph
  • InfluxDB: The Database for Your Time Series Data Science Problems | Zoe Steinkamp | Developer Advocate | Influxdata
  • Feature Engineering on the Modern Data Stack | Andrew Engel, PhD | Chief Data Scientist | RasgoML
  • Automating Deployment using GitOps: SAS Viya on Red Hat OpenShift | Edoardo Riva | Principal Technical Architect | SAS 
  • “It worked on my laptop, now what?” Using OS Tool MLRun to Automate the Path to Production | Marcelo Litovsky | Director of Sales Engineering | Iguazio
  • Unlocking the Power of AI and Machine Learning with Kensho NERD | Phil Taylor | Product Manager, Kensho Technologies | S&P Global Market Intelligence
  • Aiven is Your One-Stop Shop for Open-source Database Solutions to Power ML/AI in the Cloud | Jason Hepp, Matt Tolley | Director of Solutions Architecture,  Sales Director | Aiven
  • Predicting the next NBA Champion with Cloudera’s Applied ML Prototypes (AMPs) | Jake Bengtson | Senior Product Marketing Manager | Cloudera
  • An Introduction To Open-Source ETL | Chris Sean | Developer Advocate | Airbyte

Data Analytics:

  • Analyzing Dynamic Global Markets with Places Data | Fletcher Berryman | Product Manager | SafeGraph

Deep Learning:

  • Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot | Joel Z. Leibo, PhD | Research Scientist | DeepMind
  • Quick to production with the best of both Spark and Tensorflow | Ronny Mathew | Senior Data Scientist | Rue Gilt Groupe
  • What We’ve Learned Pushing Nearly 100M Hours of GPU Compute | James Skelton | Technical Evangelist | Paperspace | Virtual
  • Scaling AI Workloads with the Ray Ecosystem | Robert Nishihara | CEO and CoFounder | Anyscale | Virtual
  • Gym and the Future of Reinforcement Learning | J K Terry | PhD Student, Founder and CEO  | University of Maryland College Park, Farama Foundation | Virtual

Machine Learning:

  • Preventing Stale Models in Production | Milecia McGregor | Senior Developer Advocate | Iterative.ai
  • Methods and Tools for Time Series Data Science Problems with InfluxDB, an Open-Source Time Series Database | Zoe Steinkamp | Developer Advocate | Influxdata
  • Unlocking the Value of Siloed Data with Multi-party ML | Roshanak Houmanfar | VP Machine Learning Products | Integrate.ai | Virtual
  • Understanding and Optimizing Parallelism in NumPy-based Programs | Ralf Gommers, PhD | Co-Director | Quansight Labs | Virtual
  • Machine Learning for A/B Testing | Alex Peysakhovich, PhD | Senior Research Scientist | Facebook AI Research | Virtual

Machine Learning for Biotech & Pharma:

  • Data Science and Contextual Approaches to Palliative Care Need Prediction | Evie Fowler | Manager, Data Science Product Owner | Highmark Health
  • Creating a Benchmark for a Large-Scale Image Captioning Pipeline | Jennifer Dawn Davis, PhD | Staff Field Data Scientist | Domino Data Lab
  • Applying AI/ML Methods to Generate Digital Endpoints in Clinical Trials | Tomasz Adamusiak, MD, PhD | Chief Scientist, Clinical Insights & Innovation Cell | MITRE
  • Utilizing NLP in the Context of COMP360 Psilocybin Therapy for Treatment-Resistant Depression | Gregory Ryslik, PhD | Senior VP | Compass
  • Using AI for Immunogenicity Potential Assessment in Drug Discovery | Jiayi Cox, PhD | Data Scientist | Novartis | Virtual

Machine Learning Safety & Security:

  • The Origins, Purpose, and Practice of Data Observability | Kevin Hu | Co-founder and CEO  | Metaplane
  • A Unified View of Trustworthy AI with the 360 Toolkits | Kush R. Varshney PhD | Research Staff Member and Manager | IBM
  • Evaluating, Interpreting and Monitoring Machine Learning Models | Ankur Taly, PhD | Staff Research Scientist | Google | Virtual

MLOps & Data Engineering:

  • Developing, Deploying and Managing Models at Scale with SAS® Viya® | Marinela Profi | Product Marketing Manager | SAS
  • Simplifying MLOps by Taking Storage Worries out of the Equation | Miroslav Klivansky | Field Solution Evangelist – AI and Analytics | Pure Storage
  • Data Science in the Cloud-Native Era | Yuan Tang | Founding Engineer, Co-chair | Akuity, Kubeflow | Virtual

NLP:

  • Natural Language Processing in Accelerating Business Growth | Sameer Maskey, PhD | Founder & CEO | Fusemachines | Virtual

Research Frontiers:

  • Learned Optimizers | Luke Metz | Research Scientist | Google Brain

Responsible AI:

  • Mapping for Climate Change with Deep Learning on Remotely Sensed Imagery | Jeremy Irvin | PhD student | Stanford Machine Learning Group | Virtual
  • Kubernetes – Observability Engineering | Ravi Kumar Buragapu | Sr. Engineering Leader – Reliability and Observability Engineering | Adobe Systems Inc | Virtual
  • ImageNet and its Discontents. The Case for Responsible Interpretation in ML | Razvan Amironesei, PhD | Applied Data Ethicist, Visiting Researcher | Google | Virtual
  • Deploying AI for Climate Adaptation: A Spotlight on Disaster Management | Thomas Y Chen | Student Researcher | Academy for Mathematics, Science, and Engineering | Virtual

Register for ODSC East 2022 Now!

That’s quite a few sessions that you can check out for free when registering for a free Bronze Pass for both in-person and virtual sessions. The event is April 19th-21st, and there’s still time to upgrade to a full pass to access all of the training and workshop sessions – tickets are 20% off for a limited time still.

ODSC Team

ODSC Team

ODSC gathers the attendees, presenters, and companies that are shaping the present and future of data science and AI. ODSC hosts one of the largest gatherings of professional data scientists with major conferences in USA, Europe, and Asia.

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