Four Big Factors Shaping the Future of Data Science

According to the Gartner Group, digital business reached a tipping point last year, with 49% of CIOs reporting that their enterprises have already changed their business models or are in the process of doing so. When Gartner asked CIOs and IT leaders which technologies they expect to be most disruptive, artificial intelligence (AI) was the top-mentioned technology.

AI and ML are having a profound impact on enterprise digital transformation becoming crucial as a competitive advantage and even for survival. As the field grows, four trends emerge, shaping data science in the next five years: Accelerate The Full Data Science Life-Cycle The pressure to grow ROI from AI and ML initiatives has pushed demand for new innovative solutions that accelerate AI and data science.


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