ML FOR DEVOPS TRACK Room: Picasso I #reworkdevops

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1 APPLIED AI SUMMIT & MACHINE LEARNING FOR DEVOPS SUMMIT DAY 1: HOUSTON NOVEMBER 29 & 30 08:00 REGISTRATION APPLIED AI TRACK Room: Picasso II & III #reworkai WELCOME 09:00-09:15 ENTERPRISE TRANSFORMATION & AI 09:15-09:35 Intelligent Process Automation Vivek Thakral, Director of Artificial Intelligence, 09:35-09:55 Driving Innovation with Machine Learning in the Enterprise Lynn Calvo, AVP of Emerging Data Technology, GM ML FOR DEVOPS TRACK Room: Picasso I #reworkdevops WELCOME 09:00-09:15 CURRENT LANDSCAPE 09:15-09:40 Intelligent Decisions for DevOps Processes: AI in the Service of Software Engineering Marios Fokaefs, Assist. Professor, Ecole Polytechnique de MACHINE LEARNING FOR DEVOPS: KEY IDEAS 09:40-10:05 Machine Learning Meets DevOps Pooyan Jamshidi, Assist. Professor, Uni of South WORKSHOP TRACK Room: Van Gogh #reworkai WORKSHOP TRACK STARTS AT 10:20am Pre-registration for workshops is not required. Access is on a first come-first served basis!

2 09:55-10:20 Interactive Improvement Between AI Algorithms and Business Insights Biao Bill Chang, Senior Data Scientist, 10:20-11:05 COFFEE AI FOR BUSINESS VALUE 11:05-11:25 Superior Customer Service with AI: Personalization at Wayfair Sunanda Parthasarathy, Associate Director of Data Science, 11:25-11:45 Using AI to Create Better Products OPPORTUNITIES OF AI IN ENTERPRISE 11:45-12:05 Operationalizing Machine Learning for Lyft s Business Platforms Hao Yi Ong, Research Scientist, GAINING INSIGHTS FROM DATA 10:05-10:25 Making the Most Out of The Data Generated from DevOps Processes 10:25-11:10 COFFEE INTRODUCTION TO MACHINE LEARNING 11:10-11:40 Demystifying Neural Networks Boshika Tara, Software Engineer, Capital MACHINE LEARNING & THE CLOUD 11:40-12:10 Kubeflow - Machine Learning with Kubernetes Chandni Sharma, Cloud Engineer, 10:20-11:05 New to Machine Learning & AI? Time to Ask Qs! Networking & Ask The Experts 11:10-12:10 Infrastructure Slowing Your AI Projects? Nuts & Bolts of AI- Ready Infrastructure Dave Logan, Lead Systems Engineer, Pure

3 12:05-12:25 AI for Diverse Avenues/Applications: E-Commerce at Facebook Dancy Li, Data Science Manager, IMPLEMENTING AI AT SCALE 12:25-12:45 AI in Enterprises with Specific Relevance to Retail Prakash Mall, Senior Director Robotics Process Automation & Chatbots, 12:45-13:50 LUNCH SOLVING PROBLEMS WITH AI 13:50-14:10 Technological Change To Increase Productivity & Efficiency SCALING MACHINE LEARNING FOR DEVOPS 12:10-12:40 Deploying Scalable ML Models in the Enterprise Diego Oppenheimer, Founder & CEO, 12:40-13:45 LUNCH IMPLEMENTING MACHINE LEARNING IN PRACTICE 13:45-14:15 12:40-13:50 LUNCH 14:10-14:30 The Build vs. Buy Decision: Experience from TrueCar Data Science Rachel Shuyan Wang, Manager of Data Science, Improving Adobe Experience Cloud Services Dependability with Machine Learning Nicolas Brousse, Director Operations Engineering,

4 AI: CULTURE & PEOPLE 14:30-14:50 Enriching Creativity in Applied AI with Interdisciplinary Backgrounds and Diverse Perspectives Himani Agrawal, Machine Learning Engineer, 14:50-15:10 Data Scientists Should Build Dashboards (and write ETL too) Kyle Tate, Senior Data Science Lead, 14:15-14:45 Large Scale Inference Generation Using Jenkins/Blue Ocean and GPU Cluster Binwei Yang, Principal Engineer, Walmart Labs 14:45-15:15 Gaining Historical Context & Deploying Root Cause Analysis 14:15-15:10 DEEP-DIVE: Improving Adobe Experience Cloud Services Dependability with Machine Learning Myra Haubrich, Site Reliability Engineer, Adobe Sharath M, Site Reliability Engineer, 15:10-15:50 COFFEE OBSTACLES OF AI IN ENTERPRISE 15:50-16:10 Growing Pains of AI Adoption: Advice & Lessons Learnt Margaret Mayer, Vice President of Software Engineering, Capital 16:10-16:30 Let The Models Speak: Model Interpreters Sandeep David Golkonda, Data Scientist, 15:15-15:55 COFFEE 15:55-16:25 OPTIMIZING DEVOPS From Design to Deployment: Making the Most of DevOps with Machine Learning 15:15-15:55 Education Corner: Exploring STEM in Houston Networking Break with Rising Stars & Local Tech Programs Jeremy Graybill, Sr. Manager of Data Science & Advanced Analytics, Anadarko Petroleum

5 16:30-17:00 PANEL: A Look To The Future: Security, Risk & Other Big Considerations for AI in Enterprise Dean Teffer, Principal Scientist for Machine Learning, 16:25-17:00 PANEL: From Theory to Practice: Making Machine Learning in DevOps a Reality Adam Mcmurchie, DevOps Solutions Manager, Babar Bhatti, Co-Founder, Dallas Moderator: Clint Wheelock, Founder & Managing Director, 17:00-18:00 NETWORKING DRINKS 17:00-18:00 NETWORKING DRINKS 17:00-18:00 NETWORKING DRINKS

6 DAY 2: APPLIED AI SUMMIT & MACHINE LEARNING FOR DEVOPS SUMMIT HOUSTON NOVEMBER 29 & 30 08:00 DOORS OPEN APPLIED AI SUMMIT Room: Picasso II & III WELCOME 09:00-09:15 STARTUP SESSION 09:15-09:30 The Intersection of AI, Mobile Devices, and Healthcare Stephen Odaibo, CEO & Founder, 09:30-09:45 End-to-End, Multi-Cloud, Continuous Machine Learning in Production with PipelineAI, TensorFlow, and Kafta Chris Fregly, Founder, ML FOR DEVOPS TRACK Room: Picasso I #reworkai #reworkdevops #reworkai WELCOME 09:00-09:15 STARTUP SESSION 09:15-09:30 AI DevOps for Large-Scale 3D Audio Experiences Faiyadh Shahid, Research Engineer, EmbodyVR 09:30-09:45 Service Reliability & End-User Experience WORKSHOP TRACK Room: Van Gogh WORKSHOP TRACK STARTS AT 10:15am Pre-registration for workshops is not required. Access is on a first come-first served basis!

7 09:45-10:00 DataGig: The Digital Apprenticeship Marketplace for the nextgen Data Professionals Eunice Chendjou, Founder, 10:00-10:15 Strategies for AI Adoption in Hospitals Mayur Saxena, Founder & CEO, Droice Labs Tasha Nagaine, Founder & Chief of AI, Droice 10:15-10:55 COFFEE AI APPLICATIONS IN INDUSTRY 10:55-11:15 FINANCE: USAA & Artificial Intelligence - A Customer Centric Approach Casey Royer, Exec. Director, Digital Intelligent Assistant, AI & Bots, 11:15-11:35 E-COMMERCE: How ebay Shipping uses ML to Improve Experiences Jospeh Michiels, Senior Product Manager Shipping Data Science, THE ENTERPRISE PICTURE 09:45-10:25 Current Machine Learning for DevOps Journeys: Four 10-minute Industry Perspectives 10:25-11:05 COFFEE CI, CD & MACHINE LEARNING 11:05-11:35 Using Data to Infer Deployment Profiles for Cloud Applications Vilas Veeraraghavan, Director of Engineering, Walmart 10:15-11:15 VC & Startup Mentoring Session Get Your Questions Answered By Leading VC s

8 11:35-11:55 NEWS & MEDIA: Machine Learning for Better User-Experience: A Reddit Case Study Daniel Ellis, Tech Lead, 11:55-12:15 MANUFACTURING: Roadmap to Accelerating Value from AI for Manufacturing Sath Rao, Director, Digital Solutions for Manufacturing, 12:15-12:35 SPACE: Robotics and AI: The Future of People in Space Julia Badger, Project Manager for Robotics and Intelligence for Human Spacecraft, 12:35-13:35 LUNCH EDUCATION & AI 13:35-13:55 Scaling AI in Education: The Importance of Feedback Loops and Interpretable Models in Driving Adoption Vinod Bakthavachalam, Senior Data Scientist, 11:35-12:05 Forecasting Risk using CI, CD and Machine Learning Omari Felix, DevOps Engineer, Capital 12:05-12:35 ORGANIZATIONAL TRANSFORMATION Dynamic Banking - A Five-Year Roadmap to Excellence in AI Adam McMurchie, DevOps Solutions Manager, 12:35-13:35 LUNCH DEVOPS FOR MACHINE LEARNING 13:35-14:00 A Reverse Relationship: DevOps Methodologies in Machine Learning Models 11:35-12:35 Designing Ethical AI Solutions Rumman Chowdhury, Senior Principal, 12:35-13:35 LUNCH

9 AI FOR GOOD 13:55-14:15 Improving the Quality & Sustainability of Planet Earth FUTURISTIC BREAKTHROUGHS & AI APPLICATIONS 14:15-14:35 AI to Explore The Universe: Neural Networks & Gravitational Lenses Laurence Perreault Levasseur, Flatiron Research Fellow, Cosmology, Data Science, Flatiron 14:35-15:00 PANEL: Predictions for The Next Decade of AI Applications Amy Gross, Founder & CEO, 14:00-14:25 CI/CD for Machine Learning Systems Haresh Chudgar, Software Engineer, 14:35-15:00 PANEL: Challenges & Opportunities of Investing in Machine Learning Lynn Calvo, AVP of Emerging Data Technology, GM Aaron Blythe, Enterprise Architect, Moderator: Clint Wheelock, Founder & Managing Director, Sandeep David Golkonda, Data Scientist, 15:00 END OF SUMMIT 15:00 END OF SUMMIT 15:00 END OF SUMMIT

10 Presentation slides Presentation slides will be made available to attendees next week. Video recordings Video recordings from the event will be shared with attendees in two weeks. Upcoming Events Join us at a future RE WORK Summit Women in AI Dinner 22 January San Francisco Deep Learning Summit January San Francisco Women in AI Dinner 19 March London Deep Learning in Finance Summit March London Women in AI Dinner 20 May London Deep Learning Summit May Boston Deep Learning for Robotics Summit May Boston Deep Learning in Healthcare Summit May Boston Deep Reinforcement Learning Summit June San Francisco Applied AI Summit June San Francisco AI in Finance Summit 5-6 September New York