
Keynote: Building an Operating System for AI
Yochay Ettun, CEO & Co-Founder at Intel® Tiber™ AI Studio
Leah Kolben, CTO & Co-Founder at Intel® Tiber™ AI Studio

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 Intel® Tiber™ AI Studio

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 Intel® Tiber™ AI Studio

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 Intel® Tiber™ AI Studio

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