Accelerating Research & Innovation in Life Science Using Modern Storage
May 13, 2021 | 1 pm to 2 pm EDT
Completing the sequencing of the first human genome in 2003 was a key scientific breakthrough that took 10 years to complete. The pace of discovery has increased and so as the amount of data. Life Sciences companies use copious amounts of data from various sources as part of genomic sequencing, drug discovery, and bio-imaging processes. Today’s complex scientific workflows require high throughput and IOPS at low latencies so that researchers can achieve faster discovery.
WekaIO data platform provides a single unified solution across on-premises and cloud as well as groundbreaking performance across small and large files especially when coupled with GPUs and accelerated compute.
In this webinar we’ll discuss three real-life use cases, which will demonstrate the power of modern storage in accelerating research and innovation in life sciences.
- How legacy storage systems fall short for modern life science workflows and how to think about choosing a modern storage solution
- How three leading life science organizations transformed their infrastructure to accelerate research
- How Genomics England (GEL) is sequencing 5 million genomes from National Health Service (NHS) patients with rare diseases
- How Oklahoma Medical Research cut research job completion time by 10x (70 days to 7 days)
- How leading Boston Pharmaceutical company overcame limitations of NAS to run native IB and object tiering
- The role of GPUs in genomics and next generation sequencing
Shimon Ben David
Mr. Shimon Ben-David actively engages with customers and partners to track emerging trends and to bring actionable feedback to Engineering and Product Management. In his near 7 years at Weka, he has had leadership roles in both Support and Sales Engineering. Prior to joining Weka he ran Support Services for Primary Data, XtremIO, and IBM. Shimon met the leadership team of WekaIO when he managed IT at XIV, acquired by IBM in 2007. Mr. Ben-David studied Computer Science and Philosophy at Ramat Gan University.
Cost: No cost!
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