Artificial Intelligence for Business Leaders


Dr. Hugo Bowne-Anderson, data scientist, educator, and host of the podcast DataFramed, tells you everything you have always wanted to know about artificial intelligence and data science but were too afraid to ask. You'll get an understanding of the basic concepts in AI and how they can impact your business, from automating time-consuming and labor-intensive processes to helping you make more data-driven decisions.

This webinar is aimed at all executives and managers who need to be more data-driven, from CEOs who need to ask questions around machine learning initiatives (such as customer churn and content discoverability) to CMOs who need to understand dashboards, metrics, statistics and online experiments to make informed marketing decisions and Chief People Officers who need to understand the impact of analytics and machine learning on employee hiring and retention.

Hugo draws on current state-of-the-art work by McKinsey & Company, Andrew Ng (Founder and CEO of Landing AI, deeplearning.ai), Monica Rogati (Independent AI Advisor, formerly LinkedIn), and DataCamp to spell out first steps of what executives and managers need to know about the following aspects of AI to allow their organizations to be part of the AI revolution: data team structure, data collection and storage, dashboards, segmentation, online experiments, machine learning, and deep learning.

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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