DATAx San Francisco 2020

June 10 - 11, 2020
Artificial IntelligenceMachine LearningDeep LearningData ScienceRoboticsBlockchainIoTComputer Vision

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.

Conference Topics

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.

DATAx Tracks

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

DATAx San Francisco 2020
DATAx San Francisco 2020
DATAx San Francisco 2020
DATAx San Francisco 2020
DATAx San Francisco 2020

Speakers

Ankit Mangal

Ankit Mangal

Associate Director, Web Analytics, Wayfair

Asma Farooq

Asma Farooq

Product Lead, Advertising, eBay

Austin Sun

Austin Sun

Senior Data Architect & Director of Data Engineering in Advanced Analytics, American Tire Distributors

BR

Bhargav Raman

CEO, Medpixels

Binwei Yang

Binwei Yang

Distinguished Engineer, Merchant Technology Data Science, Walmart

Carlo Lipizzi, Ph.D

Carlo Lipizzi, Ph.D

Graduate Engineering Management & Systems Analytics Program Director School of Systems and Enterprises, Stevens Institute of Technology

Carlos Jose Fonseca

Carlos Jose Fonseca

SVP Data & Services. Sales Strategy and Solutions Financial, Mastercard

Cathy Tanimura

Cathy Tanimura

Sr. Director, Analytics & Data Science, Strava

CK

Chase Kusterer

Professor, Advanced Analytics & Research, Hult International School

Chintan Shah

Chintan Shah

Vice President of Data Science and Analytics, HYLA, Inc. (“HYLA Mobile”)

Daniel Gremmell

Daniel Gremmell

Vice President, Data Science, Plated

DJ Patil

DJ Patil

Head of Technology, Devoted Health

Haftan Eckholdt

Haftan Eckholdt

Chief Data Officer & Chief Science Officer, Understood.org

Jessica B. Lee, Partner

Jessica B. Lee, Partner

Co-Chair, Privacy, Security & Data Innovations, Loeb & Loeb

Mario Vinasco

Mario Vinasco

Director BI and Analytics, Credit Sesame

Meghan Anzelc

Meghan Anzelc

Head of Data and Analytics, Spencer Stuart

Michele Ceru

Michele Ceru

Data Architect, American Tire Distributors

Michelle Finneran Dennedy

Michelle Finneran Dennedy

Chief Executive Officer, DrumWave

Morgan Cundiff

Morgan Cundiff

Data Scientist, ShopRunner

Dr. Nels Lindahl

Dr. Nels Lindahl

Director, Clinical Decision Systems, CVS Health

Sherin Mathews

Sherin Mathews

Senior Data Scientist, Mcafee

Qiaolin Chen

Qiaolin Chen

Director of Data Science, Tencent Games

Romy Hussain

Romy Hussain

Director of Healthcare Economics and Data Science, Johns Hopkins Healthcare

Ronak Shah

Ronak Shah

Head of Data Engineering, Coursera

Theresa Melvin

Theresa Melvin

Chief Architect, AI-Driven Big Data Solutions, Hewlett Packard Enterprise

Thomas Vincent

Thomas Vincent

Head of Data Science, Getty Images

Vanitha Lucas

Vanitha Lucas

Board Member, Viz for Social Good

Vin Vashishta

Vin Vashishta

Data Scientist, Strategist, Author, V2 Machine Learning Consulting

Wade Schulz, MD, PhD

Wade Schulz, MD, PhD

Assistant Professor of Laboratory Medicine & Computational Healthcare Researcher, Yale University School of Medicine

Sponsors

Hewlett Packard Enterprise

Partners

CDP Institute
MyTechMag
KDnuggets
DataFloq

Organizer

Argyle

Location