Data science is a set of techniques and skills which help extract meaningful information from huge amounts of raw data. It covers a broad array of techniques and tools that include predictive analytics artificial intelligence natural language processing, visualization of data and more. Its importance is widely acknowledged in the business world, and its practitioners are in demand.
In the present, data science is used in almost every sector and in certain cases, it is central to the operations and strategies of an organization. Data science aids businesses in constructing better marketing campaigns and more specific product advertising. It helps to manage financial risks by identifying fraud and stopping equipment failures in manufacturing and industrial locality sensitive hashing in R factories. It is also helping to block cyber attacks and other security threats in IT systems.
For instance the algorithms that follow the customers of digital billboards and social media platforms can determine the patterns of shopping behavior of a customer. Marketers can then modify their messages based on this information. This increases conversion rates for customers, which leads to a higher ROI for marketers.
In the medical field the ability to analyze and visualize vast amounts of data from patients has helped doctors develop new treatments and diagnose illnesses more accurately. They also can perform preventive medicine and explore treatment options faster.
However some of the most disturbing applications of data science are those that could be a serious ethical risk. For instance, the COMPAS Recidivism Risk Score used by many law enforcement agencies to predict future criminality is biased against African-Americans according to ProPublica.