From Facebook’s personalized newsfeed to Spotify’s algorithmically curated Discover Weekly playlists, today’s most popular applications are providing users with tailored experiences. These applications work by monitoring user behavior through data capture and using algorithmic approaches to provide personalized content, recommendations, and experiences based on observations of the user.
When creating personalized experiences, there are many things to consider, such as the collection and storage of user data, user interface design, and the selection of algorithms—all of these considerations will impact the overall user experience. Ricky Hennessy and Charlie Burgoyne explain how frog’s interdisciplinary teams of designers, technologists, and data scientists create data-driven, personalized, and adaptive user experiences. This process involves several different steps:
Ricky and Charlie walk you through how frog creates personalized experiences and go into detail on some previous data-driven projects.
Ricky Hennessy is a data scientist at frog’s Austin studio, where he works on multidisciplinary teams to design and prototype data-driven products and help clients craft intelligent data strategies. Ricky has worked with clients in the defense, financial, insurance, professional sports, and retail industries. In addition to his work with frog, Ricky also works as a data science instructor at General Assembly. Ricky holds a PhD in biomedical engineering from UT Austin, where he gained expertise in scientific research, machine learning, algorithm development, and data analysis.
Charlie Burgoyne is the principal director of data science at frog, where he guides the vision and implementation of the new data science organization and initiatives and helps frog complement its traditional process with rigorous data science. Charlie leads a team of highly trained scientists and engineers from several studios across the world to implement advanced analytics, machine learning, and artificial intelligence into frog products. Previously, Charlie held a variety of roles including director of data science at Rosetta Stone, vice president of R&D for a government contracting firm specializing in cybersecurity and machine learning, a research physicist for the DOE and NNSA, and a research astrophysicist for NASA in conjunction with George Washington University. Charlie holds a master’s degree in astrophysics from Georgetown University and a bachelor’s in nuclear physics from George Washington University. He has a real passion for languages and speaks French, German, and Italian.
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