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Adapt or vanish. This avowal has been swimming across the shore of businesses who still resist to digitally transform their organizations. 2020 is the year where industry giants plan to deploy different technology trends to amplify the way they engage and interact with their customers. To meet the modern-day demands and requirements of distinctive industries, organizations have to evolve and transform their structures and tactics to stay relevant in the contemporary market. The AI-based innovations such as machine learning are making drastic invasions.

No matter what the industry is, businesses who use their data as an instrument to make relevant and intelligent business decisions are significantly outperforming their competitors in the market. These business leaders treat data as an asset rather than just a digit. They move and operate with confidence knowing that all their resolutions are scientific and will develop a sophisticated culture which sets a premium on action informed by analytically derived facts.

As the world becomes more and more connected, people have accumulated more and more data. Interpreting, storing and handling these information has become so complex that experts decided we need a new field to study and apply strategies on managing a really large data storage and analyzing unstructured (words, image, sound, etc.) information. This was initially the objective of data science but seeing as understanding this complex information provided the basics of “self-optimizing” machines, data science is now usually related to the terms machine learning and artificial intelligence.