The Top Data Science Trends of 2019
Thanks to technology the development of data science has been witnessed. Data science is very vital as most businesses depend on it for survival. Data science is imperative in helping a business move a step further through the various decision thanks to the big data. Making the best out of the collected ready data is important for a business in the creative decision-making process. Both big and small companies have seen to be heavily invested in data analytics which is fast growing in the internet market. The past years have experienced numerous data science trends. The year 2019 has experienced a number of data science trends as will be discussed in the article below.
AI is a major top trend in the science of data. Data science has improved a lot. The reason why artificial intelligence has become so much popular is because of the advanced processing speeds. The artificial intelligence systems are applied in numerous areas such as the machine learning and the driverless cars. Access to information has increased with artificial intelligence systems. This has been made possible by helping the small business reduce costs ready for a scale.
Another imperative trend is the internet of things. With the IoT platforms, the network of objects, each fitted with its own specific IP address and has access to the internet space. Computer devices could act as a network of objects. IoT networks improve communication. Business decisions are made easy using the networks of IoT. With increased and improved communication, the IoT networks can collect big chunks of data.
Additionally, the immense growth of the internet of objects has seen the emergence of new cybersecurity challenges. The data collection sources and the data itself is protected than in the process to prevent any unauthorized access. Information collected via the IoT devices help to make better decisions. Information and data is kept away from hackers. However, for maximized data collection and protection, the IoT devices have to function appropriately.
Advancement of data protection tools and automated programs has been realized to compete with the man’s job. The witnessed growth of the AI systems should not worry any data science experts. Because of the lag risk when collecting cloud data via edge computing, many prefer to use computing while still at the IoT systems. Data processing has also been made less challenging through Edge computing. Therefore, it is true to say that data science is really imperative especially with the new century where most people prefer the internet.