The AI & Big Data Expo are excited to announce the launch of its matchmaking app and the official
Platinum Sponsors
Diamond & Platinum Sponsors
About the Expo
The world’s leading AI & Big Data event series will return to the Santa Clara Convention Center in the heart of Silicon Valley on November 13-14th 2019 to host it’s third annual North American event.
The expo itself will bring together key industries from across the globe for two days of top-level content and discussion across 5-colocated events covering, AI, big data, IoT, cyber security, cloud, blockchain, and 5G.
Who Attends?
12,000 attendees are expected to congregate for the event including IT decision makers, developers & designers, heads of innovation, chief data officers, chief data scientists, brand managers, data analysts, start-ups and innovators, tech providers, c-level executives, venture capitalists , and many more.
The AI & Big Data Expo will showcase the most cutting-edge technologies from more than 350 exhibitors and provide insight from over 500 speakers sharing their unparalleled industry knowledge and real-life experiences.
Key Topics
Exploring the latest innovations within AI & Big Data, and covering the impact it has on many industries including manufacturing, transport, supply chain, logistics, automotive, construction, government, energy, utilities, insurance, healthcare and retail, this conference is not to be missed.
Key topics examined include: Business Intelligence, Deep Learning, Machine Learning, AI Algorithms, Data & Analytics, Virtual Assistants & Chatbots, Enterprise AI & Digital Transformation, Data Analytics for AI & IoT, Big Data Strategies, AI and the Consumer, Developing AI Technologies and Big Data for Industry.
2019 Speakers Include:
Adnan Boz
Lead AI Product Manager
eBay
03:10PM - Day 2
View Product Management in the Artificial Intelligence Era
Chandra Khatri
Senior AI Research Scientist - Uber AI
Uber
12:00PM - Day 2
View Holy Grail of AI: Building Open Domain Conversational AI Systems
Jerry Gupta
Senior Vice President, Digital Catalyst
Swiss Re
10:20AM - Day 1
View Keynote Panel: Creating a data-driven culture
10:20AM - Day 1
View Keynote Panel: Driving Digital Transformation through AI & Deep Learning
Jules Malin
Director, Data Science & Analytics
GoPro
11:30AM - Day 2
View Case Study: GoPro
10:20AM - Day 1
View Keynote Panel: Creating a data-driven culture
Pallav Agrawal
Director Data Science
Levi Strauss & Co.
02:40PM - Day 2
View Realtime Contextual Product Recommendations
10:20AM - Day 2
View Panel: AI in retail and ecommerce
Matthew Denesuk
SVP, Data Analytics & Artificial Intelligence
Royal Caribbean Cruises
12:40PM - Day 1
View Why the Cruise Industry will Drive Enterprise AI Innovation in the Next Decade
Meenal Iyer
Director, Enterprise Analytics and Reporting Platforms
Macy's
12:00PM - Day 2
View Blueprint for a successful Data Monetization Strategy
10:20AM - Day 1
View Keynote Panel: Creating a data-driven culture
Chanchal Chatterjee
Artificial Intelligence Leader
Google Cloud
12:00PM - Day 1
View Google’s Journey to AI First. “Hey Google, What is AI First?”
Vineet Kumar
Director, Business Analytics
GoDaddy
12:10PM - Day 1
View Keynote Panel: Data analytics for intelligent decision making
Tarun Sood
Head of Data and Analytics
Vanguard Institutional Investor Group
12:30PM - Day 2
View Telling a story with data and analytics
12:10PM - Day 1
View Keynote Panel: Data analytics for intelligent decision making
Lars Reinkemeyer
Vice President
Siemens
11:40AM - Day 1
View Using Process Mining to drive Digital Transformation – the Siemens Case.
Amrita Basu
Assistant Professor
University of California
10:30AM - Day 1
View Keynote Panel: AI for Social good
Chris Tomlinson
Director
Data Science Foundation
09:30AM - Day 2
View Big Data Business Solutions: Chair’s Welcome and Opening Remarks
09:30AM - Day 1
View Enterprise AI: Chair’s Welcome and Opening Remarks
Frost Li
Growth Advisor
Formerly from Wish
03:30PM - Day 2
View Panel: Data and the customer
Constanza Gomez
CEO
C Minds
10:30AM - Day 1
View Keynote Panel: AI for Social good
Sidney Madison Prescott
Principal, Functional & Engagement Lead
ETRADE
04:30PM - Day 1
View The Cognitive Enterprise
Ernie Ostic
SVP of Products
Manta
-
View MANTA
12:10PM - Day 1
View Keynote Panel: Data analytics for intelligent decision making
10:00AM - Day 1
View Leverage Data Lineage to Maximize the Benefits of AI and Big Data
Bevan Emma Huang
Director of Data Sciences External Innovation
Johnson & Johnson
10:30AM - Day 1
View Keynote Panel: AI for Social good
Dr. Li Gao
Technical Lead
Lyft
03:30PM - Day 2
View Panel: Data and the customer
Kuo-Ning Huang
Director, Data Science
03:10PM - Day 1
View Transforming Hiring Marketplace through Data
Priyanka Bhatt
Senior Data Scientist
Walmart Labs
10:20AM - Day 2
View Panel: AI in retail and ecommerce
Huard Smith
VP, Financial Services Practice Lead
Forrester Research
09:30AM - Day 2
View Enterprise AI Day 2: Chair’s Welcome and Opening Remarks
Dylan Moore
A.I. Product Owner
Bank of America
03:40PM - Day 1
View Panel: Examining AI uses in Banking & Financial Services
Ben Weber
Distinguished Data Scientist
Zynga
09:50AM - Day 2
View Automated Feature Engineering at Zynga
Jonathan Zaleski
Sr. Director of Engineering
Applause
-
View Applause
03:40PM - Day 1
View Panel: Examining AI uses in Banking & Financial Services
10:20AM - Day 2
View Panel: AI in retail and ecommerce
Pengyu Hou
Software Engineer
Airbnb
03:00PM - Day 2
View Zipline: A declarative feature engineering framework
Steve Brumer
Partner
BH IoT Group
09:40AM - Day 1
View Data Analytics for AI & IoT: Chair’s Welcome and Opening Remarks
Kristin Simonini
Vice President of Product
Applause
-
View Applause
10:00AM - Day 1
View Keynote: The daily business of AI
Mohan Reddy
CTO
The Hive
10:00AM - Day 2
View AI Technology Solutions: Chair’s Welcome and Opening Remarks
Calvin Anderson
Head of Commercial, USA
OYO Group
03:00PM - Day 2
View Big Data for the Visual Learner
Theo Schlossnagle
Founder and CTO
Circonus
12:10PM - Day 1
View Keynote Panel: Data analytics for intelligent decision making
Topics Covered
Artificial Intelligence
Big Data & Analytics
Chatbots
Virtual Assistants
Business Intelligence
Development
Deep Learning
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