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Building Labs-of-the-Future
with AWS Technologies
Life sciences and biotech companies are balancing traditional "wet lab" environments while incorporating digital lab
technology by using computational methodologies to increase the performance, throughput, and overall effectiveness
of laboratory operations and experimentations. Applying new analytic capabilities, artificial intelligence, and machine
learning (AI/ML) in the research lab can accelerate new discoveries while automating repetitive tasks; allowing scientists
to free their time for value-add activities. While effective research collaboration is key to drug development, securely
sharing research data beyond corporate walls and regional boundaries can still be a challenge.
Life Science organizations are turning to Amazon Web Services (AWS) to help them incorporate new technologies in
the lab environment, effectively collaborate, and decrease the time to science.
Laboratory of the Future:
Below is an example of a reference architecture that consists of
three major steps regarding data workflows and how AWS can help.
$2.5
billion
25%
The current cost
to introduce
approved drug
to market
of this cost
associated to
lab operations
1
1
cognizant.com/cognizantaccelerator/resources/cognizant-lab-insights-brochure.pdf
Analytics Machine Learning Data Sharing &
Collaboration
Data Capture &
Storage
