Keynote: Building an Operating System for AI
Yochay Ettun, CEO & Co-Founder at cnvrg.io
Leah Kolben, CTO & Co-Founder at cnvrg.io
Adding Machine Learning to Search
Samay Kapadia, Data Science Lead - Search at DeliveryHero
Shipping ML at Scale (for real): Lessons Learned and Best Practices to Successfully Deploy Machine Learning Models
Massimo Belloni, Senior Data Scientist at Bumble
The 4th dimension: The Impact of Time on Machine Learning Systems
Leonardo Neves, Lead Research Scientist at Snap Inc
Should Data Influence ML Platform and System Development?
Abon Chaudhuri, Engineering Manager, Core ML Team at Robinhood
Visual Search in Deployment
Morgan Cundiff, Data Scientist at ShopRunner
The Good and Bad in Kubernetes for AI
Itay Ariel, Backend Team Lead at cnvrg.io
Accelerating FinTech Workloads with RiskFuel and Habana Gaudi
Sree Ganesan, AI Software Product Management at Habana Labs
Maxime Bergeron, Director of Research & Development at Riskfuel
Retriever Augmented GPT
Arvind Neelakantan, Research Lead at OpenAI
How to Build an NLP Pipeline with BERT in PyTorch
Vasilis Vagias, AI Architect at cnvrg.io
Making Sense of ML Metrics
Michael McCourt, Head of Engineering at SigOpt, an Intel company
Landing the First Use Cases of Data Science in a Traditional Non-Tech Enterprise
Rushen Patel, Head of Enterprise Data Science at Marks & Spencer
Lessons Learned: How to Make Artificial Intelligence and Data Science Enterprise Ready
Maria Lee, Data Science Tech Lead at Roche
Kubernetes Without Containers – Running AI/HPC Workloads on Bare Metal
Dmitry Kartsev, Cloud Native Dev Lead at cnvrg.io
Balancing Product and Customer Signals to Improve E-Commerce Search Results
Tyan Hynes, Senior Technology Product Manager at Zulily
Building Attention Recommendation at Wish
Chandler Phelps, Data Science Manager at Wish
Content and Commerce AI – Building Enterprise AI solutions for Adobe customers
Deepak Pai, Senior Manager of Machine Learning at Adobe
Take a Flying LEAP: Data Versioning as Part of Layered Enablement of AI Platforms
Ken Yocum, Principal Data Scientist at Intuit Inc
Natural Language Processing at Scale
Andrei Lopatenko, VP of Engineering at Zillow
Sentiment Analysis Model Using BERT-transformer with Monitoring in Production and Continuous Training
Mojtaba Farmanbar, Senior Data Scientist at ING
Lidar Enhances Insights
Aniket Patange, Head of AI and Innovation at Hitachi
Anomalies: Simple Detection and Alerting Techniques
Margaret Campbell, Senior Data Scientist at Snowflake
Path to ML from the CTO’s Perspective
Jeff Sternberg, Technical Director, Applied AI at Google Cloud Office of the CTO, Google
James Tromans, Technical Director, Applied AI at Google Cloud Office of the CTO at Google
Strategies for running a successful AI/ML pilot with St Jude Children’s Research Hospital
Dr. Franz Parkins, Computational Scientist at St Jude
Chris Bogan, HPC/AI Leader at Mark III Systems
Minding the Machines: Building and Leading Data Science and Analytics Teams
Jeremy Adamson, Head of Advanced Revenue Analytics at WestJet
Data Science in Business– A Generalist Approach to Data Science for Conventional Corporates
Mousami Mishra, Predictive Analytics Manager at Vodafone
Transforming Data Science Productivity with Spark
Philip Hummel, Distinguished Member Technical Staff at Dell Technologies
Deploying a Deep RL Algorithm on Low-memory and Low-compute Devices
Benjamin Fuhrer, AI Engineer at NVIDIA
Doron Haritan, AI Engineer at NVIDIA
Efficiency of NLP deployed in production
Moshe Wasserblat, Senior PE, DL and NLP Research Manager at Intel Corporation
Matchmaking in Big Data – How Salesforce Datorama Enables Scale with Multi-Tenant, On-line Training
Amir Kafri, R&D Team Leader, Salesforce Datorama at Salesforce
Recommendations at CNN
Tim Obert, Data Scientist at CNN
Ailish Byrne, Engineer at CNN
Automated Image Labeling for Medical Imaging AI
Patrick Bangert, VP of AI at Samsung
Building a Semantic Enterprise-Scale Knowledge Graph for Pharmaceutical Brands
Srayanta Mukherjee, Director Data Science at Novartis
ML & AI in Drug Development: The Hidden Part of the Iceberg
Paul Agapow, Director Oncology R&D at AstraZeneca
Training Data for CV/DL
Nikita Manovich, Deep Learning Manager, Internet of Things Group at Intel Corporation
Distributed Workers System for Lifting Any Heavy Algorithm
Nir Orman, Backend Engineer at Wix