DATAx San Francisco 2020
DATAx San Francisco is a cross-industry event for business leaders, strategists, and practitioners looking for best practices and strategic insights to help increase business growth and gain marketplace advantage.
DATAx provides a unique blend of data-focused content tailored to help you find real-world solutions to common challenges.
Our program is specifically curated to examine the most relevant topics on the minds of data scientists and business decision-makers. With an emphasis on collaboration, DATAx is the event where the technical and strategic conversations that change business models are started.
Strategy and Leadership, Artificial Intelligence, Machine Learning, Deep Learning, Structured and Unstructured Data, Data Driven Culture, Data Governance, Computer Vision, Data Visualization, Natural Language Processing, Data Personalization, Neural Networks, Cryptographic Algorithms, Blockchain, IoT, Customer and Marketing Analytics, Robotics.
TRACK 1: Strategy & Leadership in the Age of Data Dominance
The use of data is reshaping the way companies are doing business. In the age of data dominance business leaders must ensure that data is at the forefront of any business decision. Is your company’s leadership equipped with a data focused strategy plan? Discover how data leaders are defining data governance, establishing data fluency and best practices across their organization.
TRACK 2: Data Science & Artificial Intelligence Working Together
Artificial Intelligence and data are like PB&J perfect together. When AI & data combine amazing insights are discovered. In this track you’ll hear how leading-edge companies are using AI powered data to solve business challenges and make better data informed business decisions.
TRACK 3: Data Utilization: The Art of Extracting Valuable Insights
Data collection is only the beginning of the data journey. Extracting insights is where the real value exists. Join us to learn the methods companies are using to uncover valuable information within their data.
TRACK 4 – Workshops
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Associate Director, Web Analytics, Wayfair
Product Lead, Advertising, eBay
Senior Data Architect & Director of Data Engineering in Advanced Analytics, American Tire Distributors
Distinguished Engineer, Merchant Technology Data Science, Walmart
Carlo Lipizzi, Ph.D
Graduate Engineering Management & Systems Analytics Program Director School of Systems and Enterprises, Stevens Institute of Technology
Carlos Jose Fonseca
SVP Data & Services. Sales Strategy and Solutions Financial, Mastercard
Sr. Director, Analytics & Data Science, Strava
Professor, Advanced Analytics & Research, Hult International School
Vice President of Data Science and Analytics, HYLA, Inc. (“HYLA Mobile”)
Vice President, Data Science, Plated
Head of Technology, Devoted Health
Chief Data Officer & Chief Science Officer, Understood.org
Jessica B. Lee, Partner
Co-Chair, Privacy, Security & Data Innovations, Loeb & Loeb
Director BI and Analytics, Credit Sesame
Head of Data and Analytics, Spencer Stuart
Data Architect, American Tire Distributors
Michelle Finneran Dennedy
Chief Executive Officer, DrumWave
Data Scientist, ShopRunner
Dr. Nels Lindahl
Director, Clinical Decision Systems, CVS Health
Senior Data Scientist, Mcafee
Director of Data Science, Tencent Games
Director of Healthcare Economics and Data Science, Johns Hopkins Healthcare
Head of Data Engineering, Coursera
Chief Architect, AI-Driven Big Data Solutions, Hewlett Packard Enterprise
Head of Data Science, Getty Images
Board Member, Viz for Social Good
Data Scientist, Strategist, Author, V2 Machine Learning Consulting
Wade Schulz, MD, PhD
Assistant Professor of Laboratory Medicine & Computational Healthcare Researcher, Yale University School of Medicine