APPLIED AI SUMMIT & MACHINE LEARNING FOR DEVOPS SUMMIT HOUSTON NOVEMBER 29 & 30 ML FOR DEVOPS TRACK. Room: Picasso I #reworkdevops WELCOME
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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 09:00-09:15 #reworkai WELCOME Compère: Zahra Timsah, Founder & CEO, Generation Z & Co-Founder & COO, Ward Medication Management ENTERPRISE TRANSFORMATION 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 09:00-09:15 Room: Picasso I #reworkdevops WELCOME Compère: Chris Corriere, Senior DevOps Advocate, SJ CURRENT LANDSCAPE 09:15-09:35 Intelligent Decisions for DevOps Processes: AI in the Service of Software Engineering Marios Fokaefs, Assist. Professor, Ecole Polytechnique de 09:35-10:00 Wasted Gold Mine & What Data Can Do to DevOps Kohsuke Kawaguchi, CTO, CloudBees & Creator of 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 From Big Data to Smart Data Adam Mcmurchie, DevOps Solutions Manager, 11:25-11:45 Superior Customer Service with AI: Personalization at Wayfair Sunanda Parthasarathy, Associate Director of Data Science, OPPORTUNITIES OF AI IN ENTERPRISE 11:45-12:05 Operationalizing Machine Learning for Lyft s Business Platforms Hao Yi Ong, Research Scientist, INTRODUCTION TO MACHINE LEARNING 10:00-10:25 Demystifying Neural Networks Boshika Tara, Software Engineer, Capital 10:25-11:10 COFFEE EXPLORING THE RELATIONSHIP BETWEEN ML & DEVOPS 11:10-11:40 Forecasting Risk using CI, CD and Machine Learning Omari Felix, DevOps Engineer, Capital 11:40-12:10 Machine Learning Meets DevOps Pooyan Jamshidi, Assist. Professor, Uni of South 10:20-11:05 New to Machine Learning & AI? Time to Ask Qs! Networking & Roundtable Discussion with Experts Vivek Thakral, Director of Artificial Intelligence, Lynn Calvo, AVP of Emerging Data Technology, GM Biao Bill Chang, Senior Data Scientist, 11:15-12:00 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 INTERPRETING MODELS 13:50-14:15 Scaling AI in Education: The Importance of Feedback Loops and Interpretable Models in Driving Adoption Vinod Bakthavachalam, Senior Data Scientist, 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 ML IN PRACTICE 13:45-14:15 Improving Adobe Experience Cloud Services Dependability with Machine Learning Nicolas Brousse, Director Operations Engineering, 12:50-13:45 LUNCH Lunch & Learn Join Algorithmia, Adobe, Accenture, BlueData & Pure Storage to discuss topics including Deploying ML Models at Scale, Deploying Analytics, Data Science & ML Environments (on containers), and AI-Ready Infrastructure (Van Gogh Room)
4 AI: CULTURE & PEOPLE 14:15-14:40 Enriching Creativity in Applied AI with Interdisciplinary Backgrounds and Diverse Perspectives Himani Agrawal, Machine Learning Engineer, 14:40-15:05 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 14:45-15:10 AIOps Solutions Enables Self- Healing Hybrid IT Bishnu Nayak, CTO, 14:15-14:55 DEEP-DIVE: Predicting & Preventing Outages with Machine Learning Forecasting Myra Haubrich, Senior Site Reliability Engineer, Adobe Sharath M, Computer Scientist, 15:05-15:50 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, 15:10-15:55 COFFEE 15:55-16:25 OPTIMIZING DEVOPS The Worst Game of Telephone Ever Chris Corriere, Senior DevOps Advocate, SJ 15:05-15:50 Education Corner: Exploring STEM in Houston Networking Break Jeremy Graybill, Sr. Manager of Data Science & Advanced Analytics, Anadarko Petroleum Lisa Vaughn, Master s of Data Science Program Manager, University of Detlef Hohl, Chief Scientist of Computation and Data Science,
5 16:30-17:00 PANEL: A Look To The Future: Security, Risk & Other Big Considerations for AI in Enterprise 16:25-17:00 PANEL: From Theory to Practice: Making Machine Learning in DevOps a Reality Dean Teffer, Principal Scientist for Machine Learning, Priyanka Kharat, Director Of Engineering (Machine Learning & AI), Babar Bhatti, Co-Founder, Dallas Moderator: Clint Wheelock, Founder & Managing Director, 17:00-18:00 NETWORKING DRINKS Adam Mcmurchie, DevOps Solutions Manager, Anurag Bihani, Cloud Software Engineer, Schlumberger Giulia Toti, Instructional Assistant Professor, University of David Pierce, Senior Software Development Engineer, Moderator: Diego Oppenheimer, Founder & CEO, 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 09:00-09:15 WELCOME Compère: Lisa Vaughn, Master s of Data Science Program Manager, University of 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 09:00-09:15 WELCOME Compère: Chris Corriere, Senior DevOps Advocate, SJ OPERATIONALIZING DATA 09:15-09:45 AI DevOps for Large-Scale 3D Audio Experiences Faiyadh Shahid, Research Engineer, EmbodyVR 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, Tasha Nagaine, Founder & Chief of AI, Droice 10:15-10:55 COFFEE ALGORITHMS FOR INDUSTRY 10:55-11:15 The Evolution of Recommendation Engine Algorithms: From Association Rule Mining To Deep Learning Tian Su, Sr Manager Data Scientist, Digital AI, AI APPLICATIONS IN INDUSTRY 11:15-11:35 E-COMMERCE: How ebay Shipping uses ML to Improve Experiences Joseph Michiels, Senior Product Manager Shipping Data Science, 09:45-10:15 Harnessing AI and Machine Learning for Self-Driven IT Ops Jyotsna Chatradhi, Principtal Software Engineer, 10:15-10:55 COFFEE INTELLIGENT PIPELINES 10:55-11:15 5 Plumbing Tips for A Smart Pipeline Juni Mukherjee, Product Marketer, MACHINE LEARNING & THE CLOUD 11:15-11:45 Kubeflow - Machine Learning with Kubernetes Chandni Sharma, Cloud Engineer, 10:15-10:55 VC & Startup Mentoring Session Get Your Questions Answered By Leading VC s Andrew Smith & Jake Askew, Cannon Tim Kopra, Blue Bear Stephanie Campbell, Houston Angel Allison Lami Sawyer & Roy Johnston, The League of Worthwhile
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 AI FOR GOOD 13:35-13:55 Combining EEG & AI to Overcome Learning Disabilities Zuby Onwuta, Founder, Think and CI/CD & MACHINE LEARNING 11:45-12:15 Using Data to Infer Deployment Profiles for Cloud Applications Vilas Veeraraghavan, Director of Engineering, Walmart 12:15-12:40 CI/CD for Machine Learning Systems Haresh Chudgar, Software Engineer, 12:40-13:40 LUNCH DEVOPS FOR MACHINE LEARNING 13:40-14:05 Dynamic Banking - A Five-Year Roadmap to Excellence in AI Adam McMurchie, DevOps Solutions Manager, 11:05-12:00 Designing Ethical AI Solutions Greg Adams, Senior Analyst, 12:35-13:40 LUNCH
9 13:55-14:15 Seed to Shelf: Harnessing AI to Eliminate Waste in the Food Supply Chain Ahmed Mahgoub, Chief Innovation Engineer, Agrisource 14:05-14:30 MLOps - DevOps for Machine Learning Praveen Hirsave, Senior Director Cloud Platform Engineering, FUTURISTIC BREAKTHROUGHS 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 Seshu Yalamanchili, Director Application Strategy for AI, Amy Gross, Founder & CEO, Sandeep Golkonda, Data Scientist, Moderator: Brandon Ellett, Global Director, 15:00 END OF SUMMIT 14:30-15:00 PANEL: Challenges & Opportunities of Investing in Machine Learning Lynn Calvo, AVP of Emerging Data Technology, GM Juni Mukherjee, Product Marketer, Aaron Blythe, Enterprise Architect, Moderator: Clint Wheelock, Founder & Managing Director, 15:00 END OF SUMMIT 15:00 END OF SUMMIT
10 Join the RE WORK Slack Channel 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 21 May Boston Deep Learning Summit May Boston Deep Learning for Robotics Summit May Boston Deep Learning in Healthcare Summit May Boston AI for Good Summit June San Francisco Deep Reinforcement Learning Summit June San Francisco Applied AI Summit June San Francisco AI in Finance Summit 5-6 September New York
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