Event Schedule
Day - 1 (March 27th 7:30AM-6:30PM)
Artificial Intelligence(AI) Track Room 204 & Room 212
7:30 AM - 9:00 AM | Registration |
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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 xix.ai & 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 |
6:00PM - 6:30PM | When It Comes To Data Analytics, Stay Hungry (Rick Pechter, Director, MicroStrategy) |
Day -1 (March 27th 7:30AM-6:00PM)
Workshop
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 |
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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, H2O.ai) Room 205 |
Day -2 (March 28 8:00AM-7:30PM ) Room 203 & 201
8:00 AM - 9:00 AM | Registration |
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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 |
6:00PM - 7:30PM | PM RECEPTION |
Day -3 (March 29 8:00AM-6:00PM ) Room 203
8:00 AM - 9:00 AM | Registration |
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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
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Global Predictive Analytics Conference
Date: Mar 27th to 29th, 2017 Venue: Santa Clara, CA, USA - Event Info