Data Science and Machine Learning (DSML) providers showed great resilience in the past year, as they worked to sustain high levels of innovation during trying times. The broad mix of vendors offers a wide range of capabilities, with solutions appropriate for most levels of maturity. Even more vendors aim to appeal to both expert data scientists and citizen data scientists, while adding more capabilities for data engineers, developers and ML engineers, as participation by a supporting cast in the data science life cycle becomes more common. So how do you determine the right DSML solution for your organization? This complimentary webinar delves into the findings of the latest Gartner Magic Quadrant for Data Science and Machine Learning Platforms to identify key areas of differentiation amid the many overlapping elements of providers’ visions and value propositions.
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