September 22, 2020 — DATAVERSITY® announced the agenda and opened registration today for the fourth-annual Enterprise Analytics Online (EAO), which will be presented live on November 18th, 2020, from 8 a.m. to 1:30 p.m. Pacific Time. Details and free registration for this event can be found at https://eanalyticsonline.com.
One of several online conferences hosted by DATAVERSITY, EAO is designed to teach anyone working with data how to execute and implement a successful analytics strategy. Attendees can choose from five 50-minute presentations on topics such as Enterprise Analytics, Analytics Governance, Deep Learning, and Machine Learning, each followed by a 10-minute live Q&A period. Presenters include Prashanth Southekal of the DBP Institute, Pragyansmita Nayak of Hitachi Vantara Federal, Malcolm Chisholm of Data Millennium, and William McKnight of McKnight Consulting Group. Speaker Brian Martin, Head of AI at AbbVie, will present the event’s keynote session on the future of AI and Machine Learning as it relates to Analytics.
All registered participants will receive free access to the live event and the corresponding on-demand recordings, presentation slides, and any additional materials presented by the speakers following the event. To explore the agenda, please visit http://eanalyticsonline.com/#schedule.
Members of the press should contact Laura Lucht at laura@dataversity.net for details about the event or to coordinate interviews with our speakers.
For questions about sponsoring the event, please contact Warwick Davies at warwick@dataversity.net.
About DATAVERSITY®
DATAVERSITY is a producer of educational content for business and information technology professionals on the uses and management of data. Our team strives to provide high-quality content to the worldwide community of practitioners, experts, and developers who participate and benefit from our face-to-face hosted conferences, free online conferences, live webinars, white papers, online training, daily news, articles and blog posts, and much more. For more information, please visit dataversity.net or email info@dataversity.net.
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