Salesforce’s SVP of Product Data Science Hernán Asorey and Facebook’s Manager of Data Science Steve Carter will be joining a growing list of speakers and panelists at DataScience.com’s San Francisco event next month.
Los Angeles, CA, January 9, 2018 — DataScience.com has added Salesforce SVP of Product Data Science Hernán Asorey and Facebook Manager of Data Science Steve Carter to its DataScience: Elevate San Francisco event on February 22. Asorey and Carter will join a roster of experts from Uber, Korn Ferry, Cisco, and Forrester who will be participating in a full day of presentations, panels, and networking sessions at the San Francisco Marriott Marquis.
Dedicated to showcasing real-world applications of machine learning and artificial intelligence, DataScience: Elevate is DataScience.com’s flagship symposium series that debuted last year at the company’s headquarters in Los Angeles. The events have attracted over 3,300 attendees across a wide array of analytics and data strategy roles and participants from companies like Google, Live Nation, and Netflix.
“We’re building a community of practitioners and experts whom we believe will usher in a new era of data science in industry,” said DataScience.com Chief Strategy Officer William Merchan. “Hernán and Steve are doing amazing things with data at Salesforce and Facebook and I know DataScience: Elevate attendees will benefit from their knowledge and experience.”
In-person attendance to the event is by invitation only, but the public is invited to register for the free livestream. More panelists and speakers will be added in the coming weeks, so keep checking www.datascience.com for updates.
In the San Francisco area and interested in attending DataScience: Elevate? Send an email to email@example.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.