Webinar: The State of Data Science 2020
Data science, machine learning, and artificial intelligence have become some of the hottest topics of 2020. In addition to their day-to-day use in business operations around the world, these disciplines have become key tools in understanding hot-button issues including the global pandemic, the political climate and racial injustice.
Each year, Anaconda conducts a survey of more than 2,000 data scientists, developers, academics, and other data practitioners to get a pulse on what’s trending and what’s next in the world of data science. This year, we gathered feedback from 2,360 people from more than 100 countries.
Join our VP of Marketing, Kelly Davis-Felner, and our VP of Services, Michael Grant, in this on-demand webinar for a lively discussion of the survey’s findings, what the future holds, and what the true State of Data Science in the enterprise really is.
Each year, Anaconda conducts a survey of more than 2,000 data scientists, developers, academics, and other data practitioners to get a pulse on what’s trending and what’s next in the world of data science. This year, we gathered feedback from 2,360 people from more than 100 countries.
Join our VP of Marketing, Kelly Davis-Felner, and our VP of Services, Michael Grant, in this on-demand webinar for a lively discussion of the survey’s findings, what the future holds, and what the true State of Data Science in the enterprise really is.
Meet Our Speakers
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Kelly Davis-Felner | VP of Marketing, AnacondaKelly has spent more than 15 years helping technology brands tell compelling stories, solve customer problems with great products, and establish distinctive industry leadership positions. At Anaconda, Kelly leads worldwide communications, demand generation, creative and brand, as well as media and analyst engagement. -
Michael Grant | VP of Services, AnacondaMichael is a computational mathematician specializing in optimization, signal processing, and simulation, and a contributor in classroom, research, and commercial settings. He assists clients in the development of advanced Python data science applications using Anaconda Distribution. As a recognized subject matter expert in convex optimization, Michael’s open source modeling tools for optimization have twice been recognized with awards from the International Society for Mathematical Programming.
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