How AI Can Improve Your Data Strategy


In this webinar, Dr. Hugo Bowne-Anderson, data scientist and educator at DataCamp, will discuss everything you need to know about how AI, machine learning, and data science will impact your data strategy. Whether you’re in IT, analytics, or business operations, this webinar will help you determine where AI fits into your approach. You’ll be able to understand the difference between AI, machine learning, and data science—and how they apply to business problems. You’ll also know when to use them, when not to use them, and how to talk the talk with data professionals.

Grounded in real-world examples from finance, healthcare, tech, and other industries, Hugo will demystify the main components of AI, machine learning, and data science. The language of these disciplines will soon be a central part of any decision maker’s toolkit. Get ahead of the curve and learn them now.

You can find the slides here.

Hugo Bowne-Anderson

Head of Data Science Evangelism and Marketing at Coiled; Previously a Data Scientist at DataCamp

Hugo Bowne-Anderson is Head of Data Science Evangelism and VP of Marketing at Coiled, a company that makes it simple for organizations to scale their data science seamlessly. He has extensive experience as a data scientist, educator, evangelist, content marketer, and data strategy consultant at DataCamp, the online education platform for all things data. He has experience teaching basic to advanced data science topics at institutions such as Yale University and Cold Spring Harbor Laboratory, conferences such as SciPy, PyCon, and ODSC and with organizations such as Data Carpentry. He has developed over 30 courses on the DataCamp platform, impacting over 500,000 learners worldwide through his own courses. He also created the weekly data industry podcast DataFramed, which he hosted and produced for 2 years. He is committed to spreading data skills, access to data science tooling, and open-source software, both for individuals and the enterprise.

Connect with Hugo on LinkedIn and Twitter.

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