How Will Automation Tools Change Data Science?
By Ryohei Fukimaki, dotData CEO and Founder
Data science is now a major area of technology investment, given its impact on customer experience, revenue, operations, supply chain, risk management and many other business functions. Data science enables a data-centric decision-making process for organizations, accelerating digital transformation and AI initiatives. According to Gartner, Inc. only four percent of CIOs have implemented AI, and only 46 percent have plans to do so. While investments continue to grow, many enterprises find it increasingly challenging to implement and accelerate data science practices. This article provides an overview of recent trends in machine learning and data science automation tools and addresses how those tools will change data science.
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