Event Schedule
Day -1 (April 23rd 8:00AM-7:00PM )
8:00 AM - 9:00 AM | Registration |
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9:00 AM - 9:40AM |
Business Track: AI is a Waste of Money (Dylan Steeg, VP, Aible) (Room 2B) Technical Track: Lessons Learned Building AI Systems That Understand Natural Language (David Talby, CTO, Pacific AI) (Room 2A) |
9:50 AM - 10:30AM | General Keynote : What's Your AI Strategy? (William Thompson, Managing Director, Forbes) (Room 2B) |
10:30AM -10:50AM | Coffee Break |
10:50 AM - 11:30AM |
Business Track: Keynote : AI Innovation in Microsoft (Erez Barak, Senior Director of Product, AI Division, Microsoft) (Room 2B) Technical Track: Predictive bounding boxes: A machine learning powered image annotation tool for creating high quality training data for object detection (Qazaleh Mirsharif, AI Researcher, Figure Eight) (Room 2A) |
11:30 AM - 12:10PM |
Business Track: Artificial Intelligence and the Antitrust Risks of Pricing Algorithms (Elvira Castillo, Partner, Perkins Coie LLP) (Room 2B) Technical Track: AI opens more doors to Personal Finance Management (PFM) (SK Reddy, Chief Product Officer AI & M, Hexagon) (Room 2A) |
12:10 PM - 12:50PM |
Keynote Panel - Finance Track: AI in Finance (Room 2B) Brian Knollenberg (VP, BECU) Dr Li Deng (Chief AI officer, Citadel) Evgenia Gvozdeva (Director, Russell Investments) Shankar Vaidyanathan (CEO, Noonum) - Moderator Technical Track: When Can We Trust a Decision Made by a Machine: Building Trustable AI and Detecting Misinformation (Ali Arsanjani, VP AI And Machine Learning, Deepcontext) (Room 2A) |
12:50 PM - 1:50PM |
Mentoring Lunch Session With Speakers (Room 2B) (Access only to VIP, Platinum & Diamond Pass Holders only) AI in Finance AI in Healthcare AI in Blockchain Transform Business Challenge to AI Challenge Visual Analytics Voice Engineering |
1:50PM - 2:30PM |
Business Track: Intelligence driven sales (Shilpa Dhopate, Director, American Express) (Room 2B) Technical Track: Building trustworthy and effective production Machine Learning/Deep Learning workflows (Nisha Talagala, CEO, Pyxeda) (Room 2A) |
2:30PM - 3:10PM |
Business Track: How will Blockchain disrupt the e-commerce industry ? (Anurag Yadav, CEO, Primafelicitas) (Room 2B) Technical Track: Transfer Learning NLP: Machine Reading Comprehension for Question Answering (Anusua Trivedi, Senior Data Scientist, Microsoft) (Room 2A) |
3:10PM - 3:40PM | Snack Break |
3:40PM - 4:20PM |
Business Track: Keynote Panel - Women in AI (Room 2B) Luyuan Fang (VP Head of AI Labs, Expedia) Michelle Pruitt (Sr Director, SAP) Chaitra Vedullapalli (Founder, Meylah) Amy Protexter (VP, Insight) Dr. Kalyani Velagapudi (CEO, Perimatics) Carrie Francey (Co-Founder, Women in Cloud) - Moderator Technical Track: Using AI to enhance public safety (Moji Solgi, VP Technologies, Axon) (Room 2A) |
4:20PM - 5:00PM |
Business Track: How AI will reinvent Healthcare? (Alex Ermolaev, Director Of AI, Change Healthcare) (Room 2B) Technical Track: AI and Causality (Soma Bhattacharya, Senior Manager, Expedia) (Room 2A) |
5:00PM - 6:00PM |
Keynote Panel: Solving Business Problems with AI (Room 2B) Mark Koss (Director of Analytics, T-Mobile) Shilpa Dhopate (Director, American Express) Surya Pathak (Associate Professor, University Of Washington) Shailesh Manjrekar (Senior Director, Swiftstack) Indrasis Mondal (Director, Big Data Engineering & Data Products, Hulu) - Moderator |
5:00PM - 5:30PM | Business Track: AI use in analyzing conversations (Lillian Taylor, Manager, N3) (Room 2A) |
5:30PM - 6:00PM | Technical Track: End-to-End Open Source Data Science Workflow Using OmniSci and Nvidia RAPIDS (Veda Shankar, Senior Developer Advocate, OmniSci) (Room 2A) |
6:00PM - 7:00PM | PM RECEPTION |
Day - 1 (April 23rd Workshop Track)
10:50AM - 12:50 PM |
Workshop: Artificial Intelligence in Business (Room 205) Chaitra Vedullapalli (Founder, Meylah) Shubham Choudhary (Head Of AI Partnerships, Microsoft) |
12:50 PM - 1:50PM |
Mentoring Lunch Session With Speakers (Room 2B) (Access only to VIP, Platinum & Diamond Pass Holders only) |
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1:50PM - 3:50PM | Workshop: Natural Language Processing: Foundations and Applied Research (Ali Arsanjani, VP AI And Machine Learning, Deepcontext) (Room 205) |
3:50PM - 6:00PM | Workshop: WaveNet (Jonathan Balaban, Sr Data Scientist, Metis) (Room 205) |
Day - 1 (April 23rd Exhibit Hours) 9AM-7:00PM
Day -2 (April 24th 8:00AM-6:00PM )
8:00 AM - 9:00 AM | Registration |
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8:30 AM - 9:00 AM | Technical Track: ML, Deep Learning, Inference. (Emad Barsoum, Architect, Microsoft) (Room 2A) |
9:00 AM - 9:40 AM |
Business Track: AI Inventions and Patentability (Steve Lawrenz, Partner, Perkins Coie LLP) (Room 2B) Technical Track: Interactive Introduction to RAPIDS with an End-to-End Machine Learning Workflow Demo (Miro Enev, Senior Researcher, Nvidia) (Room 2A) |
9:50 AM - 10:30 AM | General Keynote Session : Innovation at Amazon (Paul Misener, VP, Amazon) (Room 2B) |
10:30AM - 10:50AM | Coffee Break |
10:50 AM - 11:30 AM |
Keynote Panel : AI from Investment perspective (Room 2B) Sudip Chakrabarti (Partner, Madrona Venture Group) Albert Wang (Investment Director, Qualcomm Ventures) Yuval Neeman (Partner, Trilogy Equity Partners) Alok Nandan (General Partner, Emergent Ventures) Heather Redman (Co-Founder & Managing, Flying Fish Partners) Austin Guyette (Investor, Voyager Capital) - Moderator Business Track: AI / ML in Data Science Engineering and Operational Excellence (Ravi Kumar Buragapu, Director of Development & Data Science Engineering, Kohls) (Room 2A) |
11:30 AM - 12:10 PM |
Startup Pitch (Room 2B) |
12:10 PM - 12:50 PM |
Startup Pitch (Room 2B)
Judges:
Technical Track: Class Specific Anchoring Proposal for 3D Object Detection (Humayun Irshad, Senior Research, Figure Eight) (Room 2A) |
12:50 PM - 1:50PM |
Mentoring Lunch Session With Speakers (Room 2B) (Access only to VIP, Platinum & Diamond Pass Holders only) Career Advice: Towards training an AI that explores careers AI in retail The State of NLP Data Science Collaboration Tools & Best Practices
Leadership in an Automated World with Machine Intelligence
Raising Money for AI Startups |
1:50 PM - 2:30PM |
Keynote Panel : AI in Retail/E-Commerce (Room 2B) Edward Kowalski (VP, Sutherland) Ravi Kumar Buragapu (Director of Development & Data Science Engineering, Kohls) Shreyansh Gandhi (Principal Data Scientist, Walmart Labs) Dan Mo (VP, Elite Consulting) Fay Hou (Sr Manager, Nordstrom) Chaitra Vedullapalli (Founder, Meylah) - Moderator Technical Track: Productionizing your Machine Learning Models (Jonathan Peck, Developer Advocate, Algorithmia) (Room 2A) |
2:30 PM - 3:10 PM |
Business Track: Artificial Intelligence, Machine Learning, Blockchain, Big Data... and their effects for private and working life (Marcell Vollmer, SVP, SAP) (Room 2B) Technical Track: How do we use AI in Facebook Infrastructure (Hamed Neshat, Manager Data Science, Facebook) (Room 2A) |
3:10PM - 3:40PM | Snack Break |
3:40 PM - 4:20 PM |
Business Track: Digitally Detecting Developing Diseases (Savan Devani, CEO, BioTrillion) (Room 2B) Technical Track: IMAGE MATTERS - How Walmart Uses Machine Learning in Computer Vision to Serve and Protect Customers (Shreyansh Gandhi, Principal Data Scientist, Walmart Labs) (Room 2A) |
4:20 PM - 5:00 PM |
Business Track: Deepfakes and its impact on democracy (Ashish Jaiman, Director, Microsoft) (Room 2B) Technical Track: Natural Language Processing - Concepts and Applications in AI (Sumit Amar, Sr Director Engineering, Visa) (Room 2A) |
5:00 PM - 6:00 PM |
Keynote Panel: Building the AI teams of the future (Room 2B) |
5:00 PM - 5:30 PM | Business Track: Making conversations actionable (Surbhi Rathore, CEO, rammer.ai) (Room 2A) |
5:30 PM - 6:00 PM | Business Track: AI use cases in Retail (Dan Mo, VP, Elite Consulting) (Room 2A) |
Day - 2 (April 24th Workshop Track)
9:00AM - 12:00 PM | Workshop: NLP with Deep learning (Dr.Sid J Reddy, Data Science Faculty at UC Berkeley & VP, Conversica) (Room 205) |
12:50 PM - 1:50PM |
Mentoring Lunch Session With Speakers (Room 2B) (Access only to VIP, Platinum & Diamond Pass Holders only) |
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2:00PM - 6:00PM | Workshop: NLP with Deep learning (Dr.Sid J Reddy, Data Science Faculty at UC Berkeley & VP, Conversica) (Room 205) |
Day - 2 (April 24th Exhibit Hours) 9AM-6:00PM
Day -3 (April 25th 8:00AM-5:30PM )
8:00 AM - 8:30 AM | Registration |
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8:30 AM - 9:00 AM |
Technical Track : Distributed Deep Learning with Horovod (Alex Sergeev, Staff Software Engineer, Uber) (Room 2B) Technical Track: Edge to Core to Cloud data pipelines for Autonomous vehicles (Shailesh Manjrekar, Senior Director, Swiftstack) (Room 2A) |
9:00 AM - 9:40 AM |
Business Track: Bias in AI: The reality and the risk (Brian Cady, Principal Enterprise, Providence St. Joseph Health) (Room 2B) Technical Track: Predicting Hybrid-Cloud Capacity with Regression Models and Steady State metrics (Idris Iqbal Tarwala, Cloud Performance Lead/Architect, Walmart Labs) (Room 2A) |
9:40 AM - 10:20 AM | General Keynote Session: Lessons from Google's Journey to AI-First (Chanchal Chatterjee, Leader in AI, Google) (Room 2B) |
10:20AM - 10:50AM | Coffee Break |
10:50 AM - 11:30 AM |
Business Track: Enterprise use-cases (Steven Eliuk, VP of Deep Learning, Global Chief Data Office, IBM) (Room 2B) Technical Track: Deep Learning Inference: Optimizations For Wide Scale Deployment (Rahul Nimaiyar, Director, Machine Learning, Xilinx) (Room 2A) |
11:30 AM - 12:10 PM |
Business Track: Person-Based Omnichannel Analytics and Targeting (Chip Reno, Sr Advanced Analytics Manager, T-Mobile) (Room 2B) Technical Track: How Machine Learning Powers On-Demand Logistics At DoorDash (Raghav Ramesh, Machine Learning Engineer, DoorDash & Gary Ren, Machine Learning Engineer, DoorDash) (Room 2A) |
12:10 PM - 12:50PM |
Keynote Panel: The Future of Artificial Intelligence (Room 2B) Technical Track: AI for Software Testing (Jason Arbon, CEO, Test.ai) (Room 2A) |
12:50 PM - 1:50PM |
Mentoring Lunch Session With Speakers (Room 2B) (Access only to VIP, Platinum & Diamond Pass Holders only) Startup Pipelines AI and IoT Testing AI-Based Systems |
1:50 PM - 2:30PM |
Business Track: Connected Business Intelligence (Shankar Vaidyanathan, CEO, Noonum & Darian Parrish, CMO, Noonum) (Room 2B) |
2:30 PM - 3:10 PM |
Business Track: How we used machine learning to define audio-talk listening experiences (Rachel Batish, VP of Product, Audioburst) (Room 2B) Technical Track: AI revolution in Demand Forecasting (Yuan Shen, CEO, Oneclick.ai) (Room 2A) Technical Track: Telling stories with Data (Gulrez Khan, Data Scientist, Microsoft) (Room 205) |
3:10PM - 3:40PM | Snack Break |
3:40 PM - 4:20 PM |
Business Track: Creating an Effective Data Platform: A case study on Uber’s data journey (Reza Shiftehfar, Engineering Manager, Uber) (Room 2B) Technical Track: Automated Machine Learning (AutoML) for Data Science Productivity (Steven Gustafson, Chief Scientist, Maana) (Room 2A) Technical Track: Calendar.help - a virtual scheduling assistant (Pamela Bhattacharya, Principal Applied Scientist, Microsoft) (Room 205) |
4:20 PM - 5:00 PM |
Business Track: Design for AI. Avoid the pitfalls that happen when creating AI products (Mark Bailey, AI researcher , Design for AI & Ex-Google) (Room 2B) Technical Track: Learning market dynamics to power optimal pricing at airbnb (Sharan Srinivasan, Machine Learning Engineer, Airbnb) (Room 2A) Technical Track : Soss.jl: Probabilistic Metaprogramming with Julia (Chad Scherrer, Senior Data Scientist, Metis) (Room 205) |
5:00 PM - 5:30 PM | Keynote: Q&A Session with Speakers (Room 2B) |
Day - 3 (April 25th Workshop Track)
9:00AM - 12:50 PM | Workshop: The interesting convergence of AI and Blockchain! (Anurag Yadav, CEO Primafelicitas) (Room 205) |
Day - 3 (April 25th Exhibit Hours) 9AM-4:00PM
Day - 3 (April 25th Global Career Fair) 9AM-4:00PM
NOTE: Agenda and speakers subject to change without notice
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Global Artificial Intelligence Conference
Date: Apr 23rd to 25th, 2019 Venue: Seattle, WA, USA - Event Info