Go Inside The Gartner Magic Quadrant
For Data Science & Machine Learning (DSML)
Posted by
EdmontonPM
Oct 2
Online Webinar – Recorded April 27th, 2021
Activity Type: Education – Course or Training 1 Hour 1 PDU
Provider: Gartner Webinars
Data Science & 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?
In this webinar Peter Krensky (LinkedIn profile, Gartner bio) Gartner Director Analyst, & Shubhangi Vashisth, (LinkedIn profile, Gartner bio) Principal Analyst at Gartner ; delve 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.
Discussion Topics:
- The key trends Data Science & Machine Learning (DSML) platform trends
- Why data science teams gravitate to different vendors and tools
- What the leading DSML solutions reveal about the market’s near- and long-term future
Return to the web page to watch both the live and on-demand webinar.
Click to register for:
Go Inside The Gartner Magic Quadrant For
Data Science & Machine Learning (DSML)
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Technical Project Management | Leadership | Strategic & Business Management |
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