Source: aws.amazon.com
Choosing a CI/CD approach: AWS Services with BigHat BiosciencesCategory: Software, Business, Security, Data, Infrastructure, automation
Founded in 2019, BigHat Biosciences’ mission is to improve human health by reimagining antibody discovery and engineering to create better antibodies faster. Their integrated computational + experimental approach speeds up antibody design and discovery by combining high-speed molecular characterization with machine learning technologies to guide the search for better antibodies.
BigHat uses continuous integration and continuous deployment (CI/CD) throughout their data engineering workflows and when training and evaluating their machine learning (ML) models.
In the case of BigHat, they apply CI/CD in their data engineering workflows and in training their ML models.
They face risk in finding the right problem, in finding a solution to that problem, and in finding a viable customer base to buy that solution.
BigHat uses continuous integration and continuous deployment (CI/CD) throughout their data engineering workflows and when training and evaluating their machine learning (ML) models.
In the case of BigHat, they apply CI/CD in their data engineering workflows and in training their ML models.
They face risk in finding the right problem, in finding a solution to that problem, and in finding a viable customer base to buy that solution.
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