Data science is the set of skills and processes which help extract meaningful information from huge amounts of raw data. It is a broad range of tools and techniques that include predictive analytics, artificial intelligence and natural language processing visualization of data, and many more. Its significance in the business world is well-known, and its practitioners are highly sought-after.
Data science is being utilized increasing in every industry. In some cases it is a key element in the strategy and operations of an company. It is helping businesses create stronger marketing campaigns and determine the best time to advertise their products. It helps in reducing financial risks by identifying fraudulent transactions and preventing malfunctions in manufacturing facilities as well as other industrial settings. It also helps block cyberattacks and other security threats that can be detected in IT systems.
For instance, the algorithms that track the customers of digital billboards and social media platforms can pinpoint a person’s shopping habits. Marketers can then tailor their messages according to this information. This improves conversion rates and results in higher ROI for marketers.
In the medical field, the ability to visualize, analyze and interpret huge amounts of patient data has assisted doctors in diagnosing diseases and develop new treatments more accurately. They also can apply preventive medicine and research treatment options faster.
However there are some troubling applications of data science are those that could have grave ethical implications. According to ProPublica, the COMPAS Recidivism Risk score used by law enforcement agencies across the country to predict the likelihood of future crime could be biased against African-Americans.
