How Data Science Is Helping in Robotics and Artificial Intelligence Posted on : Jul 19 - 2018

Big data and data science are set to bring in a digital revolution with groundbreaking technologies like artificial intelligence (AI), machine learning (ML), and deep learning. The essence of data science is to dive into massive datasets to extract meaningful information from them. The insights that data scientists and data analysts obtain from large volumes of data is the secret sauce that’s rapidly transforming everything around us. Institutions and organizations across various sectors of the industry are now leveraging data science technologies to power innovation and technology-driven change. In fact, nearly 53 percent of companies have adopted big data analytics in 2017, which is an enormous growth from the 17 percent in 2015.

As more and more companies are inclining towards data science to transform their organizational infrastructure for the better, it is giving rise to new and exciting career opportunities such as data scientists, data analysts, ML engineers, data architects, big data engineers, and so on. Thus, if you wish to start a career in data science, the time is now. There are plenty of resources available today to help you get started in data science and online platforms offering specialized data science courses are an excellent option. The advantage of online courses is that you can master data science concepts at your own pace and convenience.

Data Science and Artificial Intelligence

The fields of data science, AI, and ML are intrinsically linked to one another. While artificial intelligence is a broad umbrella that includes a wide range of applications, right from text analysis to robotics, machine learning, is a subset of artificial intelligence that focuses on training machines how to ‘learn’ via advanced algorithms and perform specific tasks while simultaneously improving performance through experience. Data science is a branch of computer science that deals in the extraction of valuable insights from vast datasets through a combination of disciplines such as mathematics, ML, statistics, and data engineering.

Today, AI and ML technologies are transforming the industrial landscape, and this is possible only because these technologies are backed by data science. While AI is about creating “intelligent and smart” machines, it cannot do without ML. As mentioned before, machine learning algorithms are required to train machines to learn from behavior patterns and cues. Then again, ML cannot function without analytics, which in turn cannot function without data infrastructure. Harvard Business Review maintains that, “companies with strong basic analytics—such as sales data and market trends—make breakthroughs in complex and critical areas after layering in artificial intelligence.” View More