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Reference: Cloud Computing Outlook
Cloud Computing in Business Enterprises:
The on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user, is called cloud computing. It operates applications that share mass images to a million mobile users and manage the critical corporate business. It does not need a lot of capital, nor does it take too much time to install multiple hardware. Entrepreneurs can easily obtain the required size of computing resources to operate their IT department instantly, offering quick and flexible accessibility to cost-effective IT resources.
Below are five points on how cloud computing is helping entrepreneurs:
Flexibility
Corporate employees can now access data wherever and whenever thanks to cloud storage. One can easily access the entire data of the business centers from any device while sitting at the comfort of your home. Employees could efficiently work from home if they cannot travel to work or submit ad-hoc work during vacations. By optimizing the flexibility of these services, companies can also hire freelance workers for cost-saving instead of permanent employees.
Upgrades
Getting familiar with new technology is often troublesome for employees and not to mention the expensive cost of upgrading the network. Since cloud hosts everything, it eliminates the need for upgrading and replacing older software versions without hindering business operations. Source
Solving the Genomic Big Data Crisis with Cloud Computing:
Drug discovery has been hugely reliant on genomics over the last decade. Genomics has enabled scientists to develop more targeted therapies, boosting the chances of successful clinical trials. Studies show that 40 percent of FDA approved drugs in 2018 had the potential to be personalized to patients, primarily based on genomics data. Over the last four years, there has been a significant increase in this statistics, and it is unlikely to slow down soon.
The rapid growth of genomics in the drug realm and personalized treatments can be traced back to two significant developments over the last decade; plunging sequencing costs and, consequently, an explosion of data. With sequencing technologies continually evolving and being optimized, there has been a steep reduction in genome sequencing costs. The first sequenced genome, part of the Human Genome Project, cost USD 2.6 billion and took 13 years in the making. Today, one can get their genome sequenced in less than a day for approximately USD 990.
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Genomics today falls under the big data field. A single human genome sequence approximately produces 200 gigabytes of raw data. If even 100 million genomes are sequenced by 2025, we will have accumulated at least 20 billion gigabytes of raw data. Such massive volumes of data need to be stored somewhere. Furthermore, sequencing is futile unless each genome is thoroughly analyzed to achieve meaningful scientific insights. Genomic data analysis tends to generate an additional 100 gigabytes of data per genome, posing a severe dilemma over storage. Also, the extensive and advanced computing infrastructure required to make use of the same is often outside the economic range of smaller firms.
Enter Cloud Computing!
Over the years, cloud computing has gained traction as a feasible way of processing and storing large amounts of datasets quickly, without having to deal with maintenance and upgrade of servers. The pay-as-you-go model allows you to rent computational power and storage and is pervasive across many different sectors.
Cloud offers a significant amount of flexibility, which is an alluring characteristic for small life science companies that are short on capital. HPC costs can make or break a company. As a result, small companies often prefer to test their products on the cloud first and see their profitability before making large scale HPC investments.
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