Day - 1 (March 27th 7:30AM-6:30PM)
Artificial Intelligence(AI) Track Room 204 & Room 212

7:30 AM - 9:00 AM Registration
9:00 AM - 9:40AM Explainable AI using brain-motivated neural networks (Tsvi Achler, CEO, Optimizing Mind)
9:00 AM - 9:40AM Importance of Explanations in Decisions and Machine Learning (Jari Koister, VP, FICO)
9:40 AM - 10:20AM Keynote: In Depth TensorFlow (Illia polosukhin, Co-Founder & Ex-Google Research)
10:20AM -10:40AM Break
10:40 AM - 11:20AM Deep Learning for Image Understanding at Scale (Stacey Svetlichnaya, Software Engineer, Yahoo)
10:40 AM - 11:20AM How to uncover the deep and rich insights in mailboxes? (Noble Kuriakose, VP Data Science, EasilyDo)
11:20 AM - 12:00PM Fast, Scalable, Reusable: A new perspective on production ML/AI systems (Ekrem Aksoy, CTO, Hiddenslate)
11:20 AM - 12:00PM Use Case Track: AI and Big Data in Commerce (Manindra Majumdar, CEO, Gofind.AI )
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Continuous Spark ML and Tensorflow AI Model Training and Deployment Across Hybrid Cloud Environments (Chris Fregly, Research Scientist, PipelineIO  & O'Reilly Author)
1:00PM - 1:40PM Applying machine Learning technique to build investment strategies (Eitan Cadouri, HNL Ventures)
1:40PM - 2:20PM Keynote: Beyond Chatbots: The future of A.I. and business (Will Murphy, VP, Talla)
1:40PM - 2:20PM An Evaluation of Five Deep Learning Frameworks (Alok Aggarwal, CEO, Scry Analytics)
2:20PM - 3:00PM Use Case Track: AI in Medicine(Anthony Chang, Director, CHOC Children's Medical Intelligence and Innovation Institute)
2:20PM - 3:00PM Use Case Track: Image Quality Assessment using Deep Learning (Divya Beeram, Data Scientist, Intuit)
3:00PM - 3:30PM Afternoon Break
3:30PM - 4:10PM How Cognitive Computing and Augmented Intelligence Is Changing The Data-Driven World? (Shailesh Manjrekar, Director, Western Digital)
3:30PM - 4:10PM Use Case Track : AI in commerce (Andy Pandharikar, CEO, COMMERCE.AI)
4:10PM - 4:50PM Use Case Track:  AI as a Service at Scale: Retail Case Study(Eldar Sadikov, CEO, Jetlore & Zexi Mao, Data Scientist, Jetlore)
4:10PM - 4:50PM How to Become a Self-Driving Car Engineer (David Silver, Self-Driving Car Lead, Udacity)
4:50PM - 6:00PM

Keynote Panel: The Future of AI 
Anil Vasudeva ( President, Imex Research) - Moderator
Abhi Arunachalam (VC Investor, Battery Ventures)
Jari Koister (VP, FICO)
Eldar Sadikov(CEO, Jetlore)
Andy Pandharikar (CEO, COMMERCE.AI)
Alok Aggarwal (CEO, Scry Analytics)
Tsvi Achler (CEO, Optimizing Mind)

6:00PM - 6:30PM When It Comes To Data Analytics, Stay Hungry (Rick Pechter, Director, MicroStrategy)

Day -1 (March 27th 7:30AM-6:00PM)

7:30AM - 8:00 AM Registration & Networking
8:00AM - 9:00 AM Fast Data: Big Data Analytics Using Streams  (Vladimir Bacvanski, Founder, SciSpike) Room 206
9:00AM - 12:00 PM Spark Workshop (Spark Core) (Sujee Maniyam, Big Data Architect, Elephant Scale) Room 206
8:30AM - 12:30 PM Workshop : Text Modeling with R and Python (Frank Evans, Data Scientist, Exaptive) Room 201
9:00AM - 12:00 PM Workshop : AI for IoT (Anusua Trivedi, Data Scientist, Microsoft) Room 205
12:00 PM - 1:00PM Lunch Break
1:00PM - 6:00PM Workshop:  Advanced Spark (Spark SQL, Spark ML) & Hadoop (Hive)Workshop (Sujee Maniyam, Big Data Architect, Elephant Scale) Room 206
1:00PM - 6:00PM Neo4j Graph Database Workshop for the Data Scientist Using Python (William Lyon, Software Engineer, Neo4j) Room 201
1:00PM - 4:00PM Applied Machine learning using H2O, python and R Workshop (Avkash Chauhan, VP, Room 205

Day -2 (March 28 8:00AM-7:30PM ) Room 203 & 201

8:00 AM - 9:00 AM Registration
9:00 AM - 9:40AM GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees (Liangjie Hong, Head of Data Science, Etsy)
9:00 AM - 9:40AM Marketing Analytics (Ramkumar Ravichandran, Director, Visa)
9:40 AM - 10:20AM Artificial Intelligence in HR (Hai Harari, Director of Talent Competitive Intelligence and Analytics, Intel)
9:40 AM - 10:20AM Serving as an Analytics “Rosetta Stone” (Translating Complex Data into Actionable/Predictive Insights) (Timothy Park, Manager,  AT&T Entertainment Group)
10:20AM -10:40AM Break
10:40 AM - 11:20AM Keynote : A Value-based Approach to Improve Outcomes in Healthcare(Nathan Tierney, Director, Department of Veterans Affairs)
10:40 AM - 11:20AM User Behavior Analytics with Scalable Data Store CapitalOne (Dongming Liang, Lead Software Engineer, Capitalone)
11:20 AM - 12:00PM Overkill Analytics on High Dimensional Feature Spaces (Claudiu Barbura, VP Engineering, Ubix)
11:20 AM - 12:00PM Deep Learning for IoT (Prateek Joshi, Founder, Pluto AI)
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM From Predicting Demand to Prescribing Action: Operationalizing Prescriptive Analytics in the Enterprise (Nikki Hallgrimsdottir, VP, Algomus)
1:00PM - 1:40PM Winning the Market Game with AI (Amjad Zaim, CEO, Cognitro Analytics)
1:40PM - 2:20PM Value through Visualizations (DivyaJyoti Rajdev, Data Scientist, Tibco)
1:40PM - 2:20PM Future of Retail with IoT and Artificial Intelligence (Kiran Gange, CEO, CustoLogix)
2:20PM - 3:00PM Keynote : Data and Intelligence - Empowering decisions and applications through insights (Thomas Dreller, Director, Microsoft)
2:20PM - 3:00PM Network Early Warning System (NEWS) that predicts network behavior (Gyana Dash, Manager, Cisco)
3:00PM - 3:30PM Afternoon Break
3:30PM - 4:10PM Tips & Tricks to building a Predictive Analytics Solution (Hari Guleria, VP SAP HANA, Big Data & IoT, PrideVel)
3:30PM - 4:10PM Cracking Customers Retention Code With Predictive Technologies In Email Marketing (Kristina Pototska, Chief Evangelist, TriggMine)
4:10PM - 4:50PM Boost Model Performance: Advanced Data Preparation and Model Strategies  (Scott Clendaniel, VP, Morgan Stanley)
4:50PM - 6:00PM Keynpte Panel: The Future of Predictive Analytics
Guru Kashyap (VP of Product Management, Deloitte)
Timothy Park (Manager, AT&T Entertainment Group)
Nathan Tierney(Director, Department of Veterans Affairs)
Scott Clendaniel (VP, Morgan Stanley)
Hari Guleria (VP SAP HANA, Big Data & IoT, PrideVel) - Moderator

Day -3 (March 29 8:00AM-6:00PM ) Room 203

8:00 AM - 9:00 AM Registration
9:00 AM - 9:40 AM Decreasing Healthcare Costs While Improving Care with Data Analytics (Scott Roloff, President & Jack McCallum, CEO, IntegerHealth Technologies)
9:40 AM - 10:20 AM Making AI a reality for the enterprise (Aman Naimat, CIO & CTO, Demandbase)
10:20AM - 10:40AM Break
10:40 AM - 11:20 AM Keynote : Architecting a predictive, petabyte-scale, self-learning fraud detection system (David Talby, CTO, Atigeo)
11:20 AM - 12:00 PM Automating deep learning workflows, lessons from 100 models (Ben Taylor, Chief Data Scientist, HireVue)
12:00 PM - 1:00PM Lunch Break
1:00 PM - 1:40PM Keynote: Homesharing & Big Data - An Outsider's Perspective (Adrian Santos, Product Management, Apple)
1:40 PM - 2:20 PM In Place Associative Predictive Analytics Computing (DR. Avidan Akerib, VP Associative Computing, GSI Technology)
2:20 PM - 3:00 PM Don't apply Big Data Analytics to the Wrong Problem: Put Decisions First (James Taylor, CEO, Decision Management Solutions)
3:00PM - 3:30PM Break
3:30 PM - 4:10 PM From Hours to Milliseconds: How GPUs are Reinventing Data Analytics (Edward o'donnell, VP, Data Products, MapD)
4:10 PM - 4:50 PM Acquisition Funnel for Higher Education; Enhancing the Quality of Predictive Modeling on College Enrollment (Feyzi Bagirov, Faculty of Analytics, Harrisburg University)
4:50 PM - 6:00 PM Keynote Panel: Solving Business problems using predictive Analytics
Feyzi Bagirov (Professor, Faculty of Analytics, Harrisburg University)
James Taylor (CEO, Decision Management Solutions)
Adrian Santos (Product Management, Apple)
Suchitra Abel  (School of Engineering, Santa Clara Univserity)
P SUBRAHMANYAM (Professor, Stanford)
Jack McCallum (CEO, IntegerHealth Technologies)
Prateek Joshi (Founder, Pluto AI)- Moderator

NOTE: Agenda and speakers subject to change without notice