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.