Building Knowledge Based Collaboration at Scale in Healthcare and Life Sciences

Building Knowledge Based Collaboration at Scale in Healthcare and Life Sciences

Join us and see how key trends are shaping the future of healthcare.



Accelerating Trends are Creating New Challenges and Big Opportunities

With the rapid rise in the development of treatments for complex and new diseases, the increase in larger scale data collaborations and the use of sophisticated analytics has been apparent.

Healthcare and life sciences organisations and their ecosystem partners are establishing innovative new knowledge-based collaboration models, by leveraging recent advances in data management, storage, secure exchange and analytics technologies.

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Join us for an interactive session with our expert panel, as they discuss why collaboration is on the rise, how this trend is benefiting the healthcare industry, and how they are building and leveraging these collaboration models.

Learn:

  • How global research groups are collaborating on data and findings
  • What technology – cloud, security, data analytics - is enabling these collaborations and how it is being implemented
  • Why the access to rich ecosystems is a key differentiator in R&D transformation
Date & Time:

Thursday 13th August 2020

11.00am - 12.00pm AEST
09.00am - 10.00am SGT/HKT

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Meet our Experts:

Jeremy Knibbs

Mark Cowley

Kent Ramchand

Dr Denis Bauer

Guy Danskine

Jeremy Knibbs,
Publisher
The Medical Republic & Wild Health

Mark Cowley,
Computational
Biologist
Children's Cancer Institute Australia

Kent Ramchand,
PhD Candidate
and Principal
Cloud Strategist
Telstra Enterprise

Dr Denis Bauer,
Head Cloud Computing, Bioinformatics
CSIRO

Guy Danskine,
Managing Director
Equinix Australia



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Equinix, Inc. (Nasdaq: EQIX) operates a global interconnection platform of more than 200 International Business Exchange™ (IBX®) data centers in 52 markets in the Americas, EMEA, and Asia-Pacific. Our mission is to protect, connect and power the digital economy.
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info@equinix.com
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