In order to properly tailor care as health care becomes more and more digital, scientists, physicians, and researchers must attempt to interpret hitherto unheard-of volumes of data. These experts frequently have access to more knowledge than they can effectively process. To close that gap, Amazon's cloud division has been working.

The wide availability of Amazon Omics, which aids in the storage and analysis of omic data including DNA, RNA, and protein sequences, was recently announced by Amazon Web Services. The service gives users the underpinning technology they require to interpret massive amounts of data so they may devote more time to producing new scientific findings.

 Amazon's revenue is largely derived from AWS, which brought in $20.5 billion in the third quarter. The market for genetic data analysis is anticipated to reach $2.15 billion by 2030, according to a report from Straits Research, despite the fact that AWS does not publicly provide revenue forecasts for specific services.

The majority of health care data is unstructured, meaning that 97% of it is wasted, according to Dr. Taha Kass-Hout, chief medical officer at AWS.

 It can be difficult to index and interpret this data, especially when researchers are gathering omic data from tens of thousands of patients. Before joining Amazon, Kass-Hout spent two terms in the administration of President Barack Obama and was the agency's first top health information officer.

According to Kass-Hout, it can take between 80 and 150 terabytes of storage to sequence one human genome, while some research projects work with petabytes and exabytes of genomic data.

If you want to print that on a printer, you're talking about almost nine Harry Potter novels' worth, Kass-Hout told CNBC. And that is only for one person. By offering three tools that researchers can use separately or jointly, Amazon Omics aids in the data organisation process. Researchers can store and distribute raw sequence data with the use of omics-aware object storage, run workflows to process raw sequence data at scale with the aid of omics workflows, and streamline the output of sequence processing with omics analytics. More than a dozen users and partners have already tried out a beta version of Amazon Omics.