As analytics continues to guide and drive the world’s response to COVID-19, SAS debuts the final installment of its premier Virtual SAS Global Forum 2020, June 16. Kicking off at 11 a.m. ET – and available later on-demand – the nine-hour experience will feature a dynamic array of thought leaders. They will delve into analytic innovation, industry-specific insights, and the tools and techniques needed to navigate uncertainty, change and disruption. Registration is free of charge and open now.
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Connect, collaborate and share
Launching its most robust virtual conference agenda yet, SAS invites participants to create their own experience from SAS, customer, partner and executive sessions; a virtual Quad experience; super demos; traditional mainstage highlights and SAS education offerings. All will be delivered in an easy-to-consume, online format:
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- SAS Connection: Participants will experience the many uses of SAS from customers like Cleveland Clinic and Georgia-Pacific and explore SAS’ education and Data for Good initiatives.
- Executive Connection: Business leaders will hear insights from The Economist Intelligence Unit’s Chris Clague, Managing Editor and Global Editorial Lead for Trade and Globalization, as well as analytics innovators, with a focus on business recovery amid the pandemic.
- Users Connection: SAS will debut even more user-focused sessions on SAS use cases, tools, resources and training.
- Partner Connection: SAS executives and partners like Deloitte Canada will deep-dive into partner-specific successes and thought leadership.
Keynote and featured speakers
World-renowned optimist and visionary Simon Sinek will inspire with a moderated conversation based on his best-selling book, The Infinite Game. He will share how leaders can apply the essential rules of the “infinite game” to stay ahead of the competition.
The event will also spotlight SAS executives – including founder and CEO Jim Goodnight; COO and CTO Oliver Schabenberger; and Senior Vice President of R&D Engineering Bryan Harris – on the future of analyzing data in the cloud, on the edge and with AI.
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