
Keynote: Building for ML Developers
Yochay Ettun, CEO & Co-Founder, cnvrg.io
Leah Kolben, CTO & Co-Founder, cnvrg.io

Fireside chat with Intel CTO Greg Lavender
Greg Lavender, Intel CTO
Yochay Ettun, CEO & Co-founder, cnvrg.io

Everything is Connected: Deep Learning on Graphs
Petar Veličković, Staff Research Scientist, DeepMind

Applying ML to Advance Diversity and Inclusion in the Workforce
Matthew Yerbury, Global Head of People Analytics Consulting and Data Science, HSBC
Simone Pang, Data Scientist, HSBC

Democratizing ML Development to fuel the next generation of Audio Personalization at Spotify
Divita Vohra, AI/ML Product Manager, Spotify

Understand the Impact of AI in a Business
Camila Manera, Manager Data Strategy, Disney

How to become an AI-first Organization with low-code ML
Orly Amsalem, VP of AI innovation & Business Development, cnvrg.io
Omri Bitton, Senior Solutions Architect, cnvrg.io

Accelerating Transformers Down to 1ms – To Infinity and Beyond!
Jeff Boudier, Product Director, Hugging Face

The unreasonable effectiveness of Openness OR How AI learned to love Open Science
Joseph Spisak, Product Leader, Meta AI

Beyond Monitoring: Data & ML Observability in Practice
Barr Moses, CEO & Co-founder, Monte Carlo

AI Engineering – Challenges in large scale ML development
Ohad Shitrit, Director of AI Engineering, Mobileye

How Conversational AI is influencing Customer & Employee Experience Transformation
Bala Maddali, Head of Conversational AI Experiences, Verizon

Data integration and AI mining of pooled drug-CRISPR screens identifies novel targets and resistance to cancer treatments
Dimitris Polychronopoulos, Associate Director, Oncology Bioinformatics and Data Science, AstraZeneca
Miika Ahdesmaki, Director, Early Computational Oncology, AstraZeneca

MLOps from Zero
Noah Gift, Founder Pragmatic Labs and Adjunct Professor Duke Data Science

Re-inventing Consumer Packaged Goods Product Development with AI
Kli Pappas, Associate Director of Global Analytics, Colgate-Palmolive

Building an AI-driven Startup
Yuval Avnon
Robin Röhm
Yair Adato
Fabian Rang
Dor Raviv

Seagate’s Smart Manufacturing Optimizes AI Training Cost and Productivity with Habana Gaudi and Cnvrg.io
Sree Ganesan, Head of Software Products, Habana
Bruce King, Data Science Technologist, Seagate

Metrics Framework for Model Updates in Ad recommender systems
Ashim Datta, EM, Monetization Science and MLE, Pinterest

Scaling up Machine Learning in Instacart Search for the 2020 Surge in Online Shopping
Tejaswi Tenneti, Senior Manager, Algorithms and Machine Learning, Instacart

Catch Me If You Can: Keeping up with ML in Production
Shreya Shankar, PhD Student, UC Berkeley

Build your own Slackbot that can answer your teams company questions
Itay Ariel, Backend Team Lead, cnvrg.io

Estimating Long-term Causal Impact Through Surrogate Approach
Wutao Wei, Data Science Manager, Twitter

Machine Learning for Product Insights
Ron Tidhar, Data Science Tech Lead, Instagram

Applications of Graph Convolutional Networks for fighting financial crimes
Vijay R Sathish, Global Head of Financial Crimes Technology - ML & Analytics at CashApp
Ling Chang, Data Scientist, Block Inc

Measuring Customer Lifetime Value via Machine Learning
Neha Gupta, Sr. Manager ML/DS, Linkedin

Optimizing your on-prem system architecture for AI workloads
Onur Celebioglu, Sr. Director of Engineering, Dell

Running Hundreds of Flows in production with cnvrg.io for better Detection and Response
Roi Tabach, Senior Data Scientist, Hunters

Using content analytics to create better tools for content creation
Ben Fields, Lead Data Scientist, BBC

How to personalise new medicines with ML
Valeria De Luca, Associate Director Data Science, Novartis

Turning GANs into consumer products on mobile devices
Ofir Bibi, VP of Research, Lightricks

Performance of Scalable Pandas in PySpark
Michael Livshutz, Data Quality and Data Governance Analyst, McDonald's

Deep Dive into Deep Learning Infrastructure with Lambda
Mitesh Agrawal, COO, Lambda

Importance of Machine Learning APIs
Pavlos Mitsoulis, MLOps Engineering Manager, King

Lessons for Machine Learning in Production and AI Trends
David Ellison, Senior AI Data Scientist, Lenovo

NLP at Scale: Building large-scale consumer and business focused NLP applications
Andrei Lopatenko, VP Engineering, Zillow Group

From SAS to cnvrg: a Story of Success from Wargaming
Pavel Elkind, MLOps team lead, Wargaming

Reducing inference times and increasing throughput for model deployment on GPUs
Mark Moyou PhD, Senior Data Scientist, Nvidia

Sharing is Caring – Kubernetes native fractional GPU allocation
Dmitry Kartsev, Cloud Native Dev Lead, cnvrg.io

Text and Code Embeddings
Arvind Neelakan, Research Lead, Open AI