Alegion Mentioned in Gartner's 2019 "Hype Cycle For Data Science & Machine Learning"
This Gartner Report is created to help data science and business leaders scale their ML projects by understanding current and next-generation innovations. The report dives into how key technology vendors are rapidly changing the market and democratizing data. They do this by creating technological advancements and efficiencies that help enterprise companies to accelerate and succeed in their data and analytic initiatives.
Data science and machine learning continue to be top priorities driven by strategic initiatives, such as digital business transformation, with intelligence at the center. According to survey data gathered for Gartner’s 2018 “Magic Quadrant for Data Science and Machine Learning Platforms,” 77% of senior executives view data science as delivering significant value or being essential to the success of their organizations. Virtually every aspect of data management, analytic content, application development and sharing of insights is beginning to incorporate machine learning (ML) and artificial intelligence (AI) techniques. These are used to automate or augment manual tasks, analytical processes, and human insight for a range of user roles. Enhanced intelligence in all data and analytics platform components will democratize the skills required to exploit these capabilities and scale adoption across the enterprise to unprecedented levels.
To succeed with data and analytics initiatives, enterprises must develop a holistic view of critical technology capabilities. This Hype Cycle is meant to help data science teams who are implementing machine learning programs and looking to understand current and next-generation innovations. In this report, some technologies will be worth investing in right now. Others may be too cutting-edge, expensive, or overhyped to consider. And some that are climbing the Slope of Enlightenment may be immensely beneficial in specific use cases.
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