Data Management: The Best Responses to Cyber Risk

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Virtual Roundtable

Tuesday, November 3rd, 10:30 HKT

An exclusive online discussion for IT and Data leaders in Hong Kong.

THE TOPIC

Data Management: The Best Responses to Cyber Risk

This year’s business uncertainty has forced IT resources to align and enable a truly virtual workforce. As such, data grew exponentially and the continued digital workforce keeps adding to this growth.

In a context of mass data fragmentation across a hybrid IT infrastructure, on-premises or in the cloud, organisations now struggle with the compounded complexities brought about by modern workloads.

  • How do companies manage these challenges while reducing costs? Can data provide valuable insights to drive digital transformation initiatives?
  • How can backup be used for more than insurance, and how are IT leaders protecting their backup data against ransomware?
  • How can IT be simplified, agility improved and TCO reduced?

Attended by:

CTO at Fleet Management
Head of Information & Technology Transformation at Shiseido
Head of IT Infrastructure at ANZ
Head and VP at Chong Hing Bank
Director of IT at Endeavor
Director of IT at Jebsen Group
Director at Pension Fund of the Russian Federation
Director of Technical at AECOM
Asst. Director of Solution Implementation at Ageas Insurance Company
VP at Morgan Stanley
Sr. Manager at Standard Chartered Bank
Manager of Projects at Manulife Global
Manager of Retail IT Program at L’Oréal
Manager of Information System at LVMH
Manager of IT Business Enablement Product at CLP
Manager of IT Service Delivery at Euler Hermes 
GM of Data Management at Fung Group
Asst. Manager of  IT Infrastructure at Kam Lung Motor Group
IT Support at Kam Lung Motor Group

10:20 am: Guests to check-in online
10:30 am: Welcome by The Ortus Club and short address from Cohesity
10:40 am: Discussion instigated by the moderator and continued by the group
11:40 am: Discussion brought to a close

Hosted by Cohesity

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Event Detail

November 3, 2020 10:30
Virtual
China, Hong Kong

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