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LOS ANGELES, Dec. 19, 2017 -- DataScience.com has announced the addition of a San Francisco event to DataScience: Elevate, the company’s flagship symposium series dedicated to showcasing the work of data science disruptors. On February 22, 2018, analytics experts from Uber, Korn Ferry, Cisco, and other leading companies will take the stage at the San Francisco Marriott Marquis to share best practices for leveraging machine learning and artificial intelligence in business applications.
“We’re thrilled that the people and companies at the forefront of enterprise data science today are as committed as we are to elevating the field,” said William Merchan, chief strategy officer at DataScience.com. “DataScience: Elevate provides a huge amount of value to anyone in a data-centric role, from data scientists and engineers to chief information officers and IT architects. Previous attendees have learned about a variety of real-world data science applications from the people who implemented them, including Live Nation’s globally-optimized ticket pricing strategy and the way Google supports decision making with data-driven tools.”
DataScience: Elevate will feature a full day of panels, presentations, and networking opportunities designed to connect practitioners with seasoned data science experts. Speakers and panelists include:
- Kim Larsen, Director, Marketing Analytics at Uber
- Raghav Singh, Director, Reporting and Analytics at Korn Ferry
- Kristen Burton, Director, Digital Community Enablement at Cisco
- Mike Gualtieri, VP, Principal Analyst at Forrester Research
- And many more
Free to attend, DataScience: Elevate is an invitation-only event. The public is invited to register for the live stream, which will be available from 9 a.m. to 4 p.m. PST on the day of the symposium. Additional speaker and panelist announcements will be made in the coming weeks, so be sure to visit www.datascience.com for updates.
About DataScience.com
DataScience.com provides an enterprise data science platform that makes it easy and intuitive for data scientists to work collaboratively with IT and business teams on the data-driven projects that transform how companies do business. Explore and visualize data, share analyses, deploy models into production, and track performance — all from one place.
Media Contact: Justin Charness DataScience.com [email protected] (310) 579-6200
