A Guide To Maximizing The Value Of The Cloud
Moving to the cloud is a significant step to lowering costs while making meaningful progress towards higher efficiency. Many life science companies are annually saving millions from their migrations. Famously, cloud computing and AI played a crucial role in accelerating the design of the COVID-19 vaccines, shaving years off the normal development timeframe.1
Unfortunately, the migration process itself often requires months of planning, more resources than expected, and several iterations to fully realize the benefits of cloud computing. If not planned or executed properly, companies often experience downtime, inefficiencies, and fail to achieve their desired results. A survey by Accenture found life science companies the lowest in achieving their desired innovation, data access, and analytics goals from the cloud. Moreover, less than half (43%) said they were very satisfied with their cloud outcomes achieved to date.
For those reasons, we’ve created a guide on maximizing the value of cloud migration for the life sciences.
In our guide, we discuss:
The most commonly overlooked cloud computing costs for life science companies and common cost-saving pitfalls.
A framework for evaluating and choosing the provider that best meets your unique business requirements.
How to capitalize on the array of products and services offered by cloud providers (like machine learning and AI) to accelerate commercialization.
And much more
GET THE GUIDE
ICE IS A PROUD MEMBER AND THE IT & CLOUD SERVICE PROVIDER FOR THE CALIFORNIA LIFE SCIENCE (CLS), BIOCOM, AND SOCALBIO COMMUNITIES
In ICE'S Ultimate Guide to Maximizing the Value of the Cloud
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