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Day -1 (January 21st 8:00AM-7:00PM )

8:00 AM - 9:00 AM Registration
9:00 AM - 9:30AM Business Track (Finance): Accelerating the AI journey in a financial services tech company (Nathan Wu-Falkenborg, Chief Analytics Officer, Roostify  & Eric Amblard, CFO, Roostfy) (Room 203)
Technical Track: Anonymous Id Stitching and Visitor Recognition (Sridhar Raman, Engineering Leader, Intuit) (Room 201)
Technical Track: Latest Progress in Self-Supervised Learning for Computer Vision (Aravind  Srinivas, Machine Learning Research, UC Berkeley & DeepMind) (Room 212)
9:30 AM - 10:00AM

Business Track: How Serverless has failed us! (Rishi Yadav, CEO, ZB.IO) (Room 203)
Technical Track: Recommending Music with Waveform-based Architectures (Oriol Nieto, Senior Scientist, Pandora) (Room 201)
Technical Track: Ludwig, a Code-Free Deep Learning Toolbox (Piero Molino,  Senior Research Scientist, Uber AI) (Room 212)
10:00 AM - 10:30AM General Keynote : Fireside Chat: Navigating AI: The Changing Role of the CIO (Cynthia Stoddard, CIO, Adobe) & Sreenivasa Chadalavada (Managing Partner, Gartner) (Room 203)
10:30AM -10:50AM Break
10:50 AM - 11:30AM Business Track (Finance): Enabling AI Transformation in Large Enterprises (Siddharth Sureka, Director, Charles Schwab) (Room 203)
Technical Track: Different Ways Of Thinking AI (Elliott Ning, Enterprise Architect, Google) (Room 201)
Business Track: Microservices for cloud products  (Venkata Duvvuri, Staff Data Scientist, Oracle) (Room 212)
11:30 AM - 12:10PM Business Track: Top 10 AI Trends (Srini Gurrapu, VP, Claris (Subsidiary of Apple)) (Room 203)
Business Track : Business Insights from Big Data on Internet Traffic (Amy Gershkoff Bolles, Chief Data Officer, Bitly, Inc.) (Room 201)
Technical Track: Research to Production: The things you want to know about training & deploying deep learning systems at scale (Mikhail Kutsovsky, PM, Paperspace) (Room 212)
12:10 PM - 12:50PM Keynote Panel -  Finance Track:  AI in Finance (Room 203)
Ken Kruszka (CEO, SnapCheck)
Nitesh Kumar (Senior Director,  Affirm)
Nadeem Chaudhry(Head of Data, Earnest) 
Thomas Tiefenworth (VP Analytics, Legg Mason)
Kirtida Parikh (Analytics Leader, Silicon Valley Bank) 
Sreenivasa Chadalavada (Managing Partner, Gartner)  - Moderator


Technical Track:  Training Game AI using Deep Reinforcement Learning (Yuan Gao, Software Engineer, Unity Technologies) (Room 201)
Technical Track: Using AI to Build More Secure Software (Mark Sherman, Director, Software Engineering Institute) (Room 212)
12:50 PM - 1:50PM Lunch Break
1:50PM - 2:30PM Technical Track (Finance): Group Theory, Chaos and Financial Time Series (Revant Nayar, CTO, FMI Tech) (Room 203)
Technical Track: Building Continuous ML/AI Pipelines with TFX, KubeFlow, Airflow, and MLflow (Chris Fregly,Founder and Research Engineer, PipelineAI) (Room 201)
Technical Track: Improving Driver Communication - Uber's NLP and Conversational AI applications (Yue Weng, Senior Data Scientist, Uber Technology) (Room 212)
2:30PM - 3:10PM Technical Track (Finance):  Machine Learning In Finance (Chakri Cherukuri, Senior Researcher, Bloomberg LP) (Room 203)
Technical Track: Zipline: A Declarative feature engineering framework (Nikhil Simha, Software Engineer, Airbnb) (Room 201)
Business Track: AI enabling new business models (Sudhir Kadam, Venture Partner, FYDA Growth Partners) (Room 212)
3:10PM - 3:40PM Afternoon Break
3:40PM - 4:20PM

Technical Track: Image Augmentations for Semantic Segmentation and Object Detection (Vladimir Iglovikov, Sr. Machine Learning Engineer, Lyft) (Room 203)
Business Track: AI for autonomous business planning and optimizing supply chains (Moataz Rashad, CEO, DeepVu) (Room 201)
Technical Track:  Druid at Twitter: How Big Data Goes Real Time (Zhenxiao Luo, Software Engineer, Twitter & Mainak Ghosh, Software Engineer, Twitter) (Room 212)
4:20PM - 5:00PM Finance Track : Data in Finance/Banking (Ryan Lee, Analytics Team Lead, Green Dot Corp) (Room 203)
Technical Track: A Data-driven Human Behavior Learning System to Coach Self-driving Cars  (Joe Xing, CEO, Roman Roads) (Room 201)
Technical Track: Operationalize ML by empowering people  (Niraj Tank, Senior Manager Engineering, Capital One) (Room 212)
5:00PM - 6:00PM

Keynote Panel: Solving Business Problems with AI (Room 203)
Vipin Jain (CTO, Pensando)
Srini Gurrapu (VP, Claris (Subsidiary of Apple)
Vasily Starostenko (Product Management, Waymo)
Sudhir Kadam (Venture Partner, FYDA Growth Partners)
Chris Fregly (Founder, PipelineAI)
Nandu Kumar Jayakumar (VP Engineering, Omniscience Corporation)
Mikhail Kutsovsky (PM, Paperspace)
Srini Sudireddi (Director,Aruba Networks) - Moderator
5:00PM - 5:30PM Business Track: Improving customer experience using big data and experimentation (Maya Goradia, Director, ZD Aanlytics) (Room 201)
Technical Track: Challenges and lessons learned deploying real world AI solution (Alexander Liss, Director, Ancestry) & (Sam Mefford, Software Engineer, Ancestry) (Room 212)
5:30PM - 6:00PM Technical Track: Artificial Intelligence and Machine Learning in Computational Advertising (Abraham Bagherjeiran,  Applied Science Manager, Amazon) (Room 201)
Technical Track: Accelerate Large Scale AI Deep Learning Pipelines (Shailesh Manjrekar, Head Of AI And Business Development, Weka.Io) (Room 212)
6:00PM - 7:00PM Panel: AI and the Paradox of Progress (Room 203)
Rishi Kumar (Tech Executive and Candidate for US Congress, CD 18)
Kelvin Lwin (AI Architect, Iluvatar CoreX)
Rishi Yadav(CEO, ZB.IO) (Room 203)
6:00PM - 6:30PM Business Track: Smart city digital transformation (Anton Batalla, CTO, City of San Leandro) (Room 201)

Day - 1 (Jan 21st Workshop Track)

9:00AM - 12:50 PM Workshop: Building Real World AI Solutions (Alexander Liss, Director, Ancestry & Michael Liu, ML Engineer, Ancestry) (Room 206)
9:00AM - 12:50 PM Day 1 Workshop: Kubernetes (Jonathan Johnson, Software Architect, Dijure) (Room 207)
12:50 PM - 1:50PM Lunch Break
1:50PM - 3:00PM Workshop: Kubeflow workshop (Josh Bottum, VP, Arrikto) (Room 206)
3:00PM - 6:00PM Workshop: Full Stack Data Science. How to build AI from data to application in AWS (Nisha Talagala, CEO, Pyxeda AI) (Room 206)
1:50PM - 6:00 PM Day 1 Workshop: Kubernetes(Contd..) (Jonathan Johnson, Software Architect, Dijure) (Room 207)

Day - 1 (Jan 21st Exhibit Hours)  9AM-7:00PM (Room 210)

Day -2 (January 22nd 8:15AM-7:00PM )

8:15 AM - 9:00 AM Registration
9:00 AM - 9:30 AM Business Track: Virtualizing ML/AI and data science workloads (Michael Zimmerman, CEO, Bitfusion (acquired by VMWare))  (Room 203)
Technical Track:  Unleashing the Potential of Big Data with Hybrid AI/Physics Models for Industry 4.0 (Ajay Raghavan, Strategic Execution Director, Palo Alto Research Center (PARC)) (Room 201)
Technical Track: Avenging Clippy (Ryan Germick, Principal Designer, Google) (Room 212)
Business Track: Using GPU-acceleration to Interact with Open Street Map at Planet-Scale (Aaron Williams, VP Technologies, OmniSci) (Room 202)
9:30 AM - 10:00 AM General Keynote Session: Implicit deep learning and robustness (Laurent El Ghaoui, Professor, UC Berkeley& Founder, sumup.ai) (Room 203)
10:00 AM - 10:30 AM General Keynote Session: Pitfalls and panacea: AI and Cybersecurity (Wayne Chung, Chief Analytics Officer, Blue Voyant& Ex-CTO, FBI) (Room 203)
10:30AM - 10:50AM Break
10:50 AM - 11:30 AM Technical Track:  AI methods for Formal Reasoning (Christian Szegedy, Artificial Intelligence Researcher, Google) (Room 201)
Technical Track:  Human-machine-AI collaborative IoT systems (Manish Mehta, Director, Stanley Black and Decker) (Room 203)
Technical Track (Finance) : Quantitative Trading Strategies and Asset Pricing using Alternative Data and Machine learning (Arun Verma, Head of Quant Research Solutions Team, Bloomberg LP) (Room 212)
Technical Track: Optimizing operator patterns for containerized applications using GitOps tools (Javeria Khan, Sr. Site Reliability Engineer, Palo Alto Networks) (Room 202)
11:30 AM - 12:10 PM

Technical Track(Retail/E-Commerce): Challenges in machine learning from model building to deployment at scale (Anupama Joshi, Director, Target) (Room 203)
Business Track: How Data, AI, and Analytics are getting impacted by Blockchain (Anurag Yadav, CEO, PrimaFelicitas) (Room 212)
Technical Track: Deep Learning for Speech Recognition (Pranjal  Daga, Data Scientist, Cisco Systems) (Room 201)
Technical Track: To Arms: Winning the Misinformation War (Danielle Deibler, CEO, Marvelo) (Room 202)
12:10 PM - 12:50 PM

Keynote Panel : AI in Retail/E-Commerce (Room 203)
Long Pei (Data Scientist, Linkedin)
Vijay Nadkarni (VP Artificial Intelligence, Tech Mahindra)
Anupama Joshi (Director, Target)
Stephen Guo (Manager, Walmart Labs)
Khalifeh AlJadda (Sr. Manager Data Science, Home Depot)
Anurag Yadav (CEO, PrimaFelicitas) - Moderator
        
Technical Track: Quantum computing (Alexey Kryukov, Professor & Director, UC-Berkeley & (Alexander Liss, Director, Ancestry) (Room 201)
Business Track: Artificial Intelligence and Emerging Legal Issues (Usman Sheikh, Partner, Gowling WLG) (Room 212)
Technical Track: Automatic Data Science AI (Jorge Castanon, Sr Data Scientist, IBM) (Room 202
12:50 PM - 1:50PM

Lunch Break
1:40 PM - 2:30PM

Keynote Panel : AI from Investment perspective (Room 203)
Albert Wang (Investment Director, Qualcomm Ventures)
Sanjit Dang (Co-Founder And Chairman, U First Capital)
Jordan Segall (Investor, Unusual Ventures)
Li Sun (Partner, Foundation Capital)
Glenn Gow (Partner, Clear Ventures)
Ian Foley (Venture Partner, Level Ventures) - Moderator
1:50 PM - 2:30PM Technical Track: Latest trend in unsupervised training (Emad Barsoum, Principal Architect, Microsoft)  (Room 201)
Technical Track:   Open-Ended Reinforcement Learning: Endlessly Generating Diverse Challenges and and their Solutions in a Single Run (Rui Wang, AI Research Scientist, Uber) (Room 212)
2:30 PM - 3:10 PM Business Track: AI: the importance of getting it right and the harm of getting it wrong (Morgan Gregory, Leader in Artificial Intelligence Solutions, Google) (Room 203)
Technical Track: A/B Testing AI (Pavel Dmitriev, VP Data Science, Outreach) (Room 201)
Technical Track: Training Compact Models for Low Resource NLP tasks using transformer (Moshe Wasserblat, Research Manager, Intel)  (Room 212)
3:10PM - 3:40PM Break
3:40 PM - 4:20 PM Technical Track: Causal Inference in Data Science (Vinod Bakthavachalam, Data Scientist, Coursera) (Room 203)
Business Track: Production Readiness of Machine Learning for Industrial AI (Hongbo Zou, Test Engineering Lead, Petuum) (Room 201)
Technical Track: How ML helps in moving goods around the world (Anish Muppalaneni, Senior Manager, Flexport) (Room 212)
4:20 PM - 5:00 PM Technical Track (Retail/E-Commerce Track): Solving Challenging e-Commerce Problems Using Different Aspects of Data Science (Khalifeh AlJadda, Sr. Manager Data Science, Home Depot) (Room 203)
Business Track: Data Wrangling (Alex Holub, CEO, Vidora) (Room 201)
Technical Track (Retail/E-Commerce Track): Scene Comprehension and Contextual Classification for In-Store Security (Vijay Nadkarni, VP Artificial Intelligence, Tech Mahindra) (Room 212)
5:00 PM - 6:45 PM

AI Startup Pitch  (Room 203)
Budgets.ai
Nusantao
SumUp.ai
Cannon Cyber
Pridatex
i2Chain
network-financials
Sentry
Hyper Cognition
XiFiNetworks

Judges:
Glenn Gow (Partner, Clear Ventures)
Jordan Segall (Investor, Unusual Ventures)
Albert Wang (Investment Director, Qualcomm Ventures)
Li Sun (Partner, Foundation Capital)
Sudhir Kadam (Venture Partner, FYDA Growth Partners)
Radhika Malik (Investor, Samsung Catalyst Fund)
5:00 PM - 5:30 PM Business Track: Effective Enterprise Grade Machine Learning that Drives Measurable Value (Mady Mantha, Director of AI, Sirius) (Room 201)
Technical Track: Building chat automation and conversational systems to engage users and drive customer loyalty. (Marina Shumaieva, CTO & Founder, CruiseBe) (Room 212)
5:30 PM - 6:00 PM Business Track: Identity Resolution: Transforming Consumer Data to meaningful People-Based IDs (Akshaya Aradhya, Director, LiveRamp) (Room 201)
Technical Track: Big Data : The Silver Bullet in Machine Learning? (Akanksha Devkar, Machine Learning Engineer, Alectio) (Room 212)
6:00 PM - 8:00 PM PM RECEPTION

Day - 2 (Jan 22nd Workshop Track)

9:00AM - 12:50 PM Workshop: Machine Learning : An Overview (Brian Sletten, President, Bosatsu Consulting) (Room 206)
Day 2 Workshop: Kubernetes(Contd..) (Jonathan Johnson, Software Architect, Dijure) (Room 207)
12:50 PM - 1:50PM Lunch Break
1:50PM - 6:00PM Workshop: Tensorflow.js : Machine Learning In and Out of the Browser (Brian Sletten, President, Bosatsu Consulting) (Room 206)
Workshop: Introducing Artificial Intelligence and Machine Learning  (Raju Shreewastava, CEO, Big Data Trunk) (Room 202)
Day 2 Workshop: Kubernetes(Contd..) (Jonathan Johnson, Software Architect, Dijure) (Room 207)

Day - 2 (Jan 22nd Exhibit Hours)  9AM-6:00PM

Day -3 (January 23rd 8:30AM-6:00PM )

8:30 AM - 9:00 AM Registration
9:00 AM - 9:30 AM Business Track (Healthcare/Pharma/BioTech): The Autonomous Pharmacy: Applying AI and ML to Medication Management Across the Care Continuum (Ken Perez, VP, Omnicell) (Room 203)
Technical Track: Towards Enterprise Multi-cloud MLOps (Debojyoti Dutta, Distinguished Engineer, Cisco Systems) (Room 201)
Technical Track: The Future trends for  Natural Language Processing (NLP) (Jeff -Shomaker, Title, 21 SP) (Room 212)
9:30 AM - 10:00 AM General Keynote Session: The Pros and Cons of Automated Machine Learning in Healthcare (Sanjeev Kumar, VP Technologies, HMS) (Room 203)
10:00 AM - 10:30 AM General Keynote Session: Google’s Journey to AI-First  (Chanchal Chatterjee , Leader in Artificial Intelligence Solutions, Google) (Room 203)
10:20AM - 10:50AM Break
10:50 AM - 11:30 AM Technical Track(Healthcare/Pharma/BioTech): Case studies in AI for medical devices (Moshe Safran, CEO, RSIP Vision USA)  (Room 203)
Technical Track: Complex Machine Learning Workflows at Scale (Michael Mui, Senior Research and Software Engineer, Uber&  Mingshi Wang, Software Engineer, Uber) (Room 201) 
Business Track (Healthcare/Pharma/BioTech): AI in Personalized Healthcare: Inconvenient Truth or Big Opportunity?  ((Jorden Woods, Partner, Doublenova Group & Radhika Iyengar, Managing Partner, Doublenova Group) (Room 212)   
11:30 AM - 12:10 PM Business Track (Healthcare/Pharma/BioTech): Figuring out applied ML: Building frameworks and teams to operationalize ML at scale (Nels Lindahl, Director, CVS Health) (Room 203)
Technical Track(Healthcare/Pharma/BioTech): AI for healthcare: Scaling access and quality of care for everyone (Sindhu Raghavan, Manager, Curai)  & Anitha Kannan, AI Technology Leader, Curai) (Room 201) 
Technical Track (Healthcare/Pharma/BioTech): Lessons Learned Applying Natural Language Processing for Healthcare AI (David Talby, CTO, Pacific AI) (Room 212)
12:10 PM - 12:50PM

Keynote Panel: AI Adoption In Healthcare: Real-World Use Cases ( Room 203)
Ken Perez (VP, Omnicell)
Sanjay khobragade (CEO, Neura Health)
Sharath Pasupunuti (Director, GE)
David Talby (CTO, Pacific AI)
Nels Lindahl (Director, CVS Health)
Arvind Rapaka, (VP Technologies, TechVedika) - Moderator

Technical Track: Edge Intelligence: Orchestrating Low-Latency Machine Learning Services at the Edge (Rafael Zotto, Solution Architect, HP & Franco Vieira, Staff Software Engineer, HP)  (Room 201)
Technical Track: Considering Data Privacy in  Cloud for AI/ML Workloads  (Sunil Sabat, Ex Director, BigID) (Room 207)
12:50 PM - 1:50PM Lunch Break
1:50 PM - 2:30PM Technical Track (Healthcare/Pharma/BioTech): AI in Healthcare (Sharath Pasupunuti, Director, GE) (Room 203)
Technical Track (Healthcare/Pharma/BioTech): Deep Learning in Healthcare (Jonathan Rubin, AI Researcher, Philips Research North America) (Room 201)
Technical Track: Building Intelligent AI Data Pipelines for Improved Data Center Economics (Sanhita Sarkar, Director Engineering, Western Digital) (Room 212)
2:30 PM - 3:10 PM Business Track (Healthcare/Pharma/BioTech): Leverage AI and Machine Learning for growing new markets, and optimize operational costs (Parag Shrivastava, Director, McKesson Corporation) (Room 203)
Technical Track: Machine Learning for Safety (Chirag Mahapatra, Engineering Leader, Airbnb) (Room 201)
Business Track (Healthcare/Pharma/BioTech) :  AI-driven Virtual Beings for Healthcare and Sales. (Mark Walsh, CEO, Motional) (Room 212)
3:10PM - 3:40PM Break
3:40 PM - 4:20 PM
 

Business Track (Healthcare/Pharma/BioTech): AI for early detection of Breast Cancer (Sanjay khobragade, CEO, Neura Health) (Room 203)
Technical Track: SurveyMonkey's Journey of building a scalable machine learning platform (Jing Huang, Director, SurveyMonkey) (Room 201)
Technical Track: Top 5 Things Learnt from Deploying Real-World AI Apps (Ramnath Sai Sagar, Director, Pure Storage) (Room 212)
4:20 PM - 5:00 PM Business Track (Healthcare/Pharma/BioTech): The Nexus of Healthcare, AI, and Blockhchain Technology (Edward Bukstel, CEO, Clinical Blockchain) (Room 203)
Technical Track : Future of AI in electric vehicles. (Specifically fuzzy logic in electric vehicle control) (Jack McCauley, Co-Founder, Jack McCauley) (Room 201)
Technical  Track:  Peta Scale Machine Learning in real time video Interference and Annotation (Arvind Rapaka, VP Technologies, TechVedika) (Room 212)
5:00 PM - 6:00 PM

Keynote Panel: The Future of AI in 2020 (Room 203)
Chanchal Chatterjee (Leader in Artificial Intelligence Solutions, Google)
Moshe Safran (CEO, RSIP Vision USA)
Anish Muppalaneni (Senior Manager, Flexport)
Anurag Yadav (CEO, PrimaFelicitas & Stanford Alumni)
Arvind Rapaka (VP Technologies, TechVedika) - Moderator

Day - 3 (Jan 23rd Workshop Track)

9:00AM - 12:50 PM Considering Data Privacy in  Cloud for AI/ML Workloads
Workshop: Practical Workshop on Containers & Kubernetes (Sunil Sabat, Ex Director, BigID) (Room 207)
12:50 PM - 1:50PM Lunch Break
2:00PM - 6:00PM Workshop: ML in production: Getting started with TensorFlow Extended (TFX) (Robert Crowe, Developer Advocate, Google) (Room 207)

Day - 3 (Jan 23rd Exhibit Hours)  9AM-6:00PM
Day - 3 (Jan 23rd Global Career Fair)  9AM-6:00PM

NOTE: Agenda and speakers subject to change without notice

Considering Data Privacy in  Cloud for AI/ML Workloads  (Sunil Sabat, Ex Director, BigID)