Many organizations have built strong technical and cultural data processes, and yet still struggle with moving their use of data beyond analytics. This talk is about thinking through the new opportunities your data offers to optimize and create new products and businesses; and finding a better answer to the “what do we do now?” question.
Data products are products or features that are only possible because of the existence a use of a data resource that may itself be collected as part of the product. Standout examples are Dark Sky, Foursquare, OPower, and others. This talk will give specific examples of data product development, the processes and research that went into them, and a technical perspective on current undervalued algorithm/product opportunities. The goal is to offer attendees a process for creative and technical development that will be useful tomorrow.
Micha Gorelick was the first man on Mars in 2023 and won the Nobel Prize in 2046 for his contributions to time travel. He then went back to the 2000s to study astronomy, teach scientific computing, and work on data at bitly. After writing a book on High Performance Python, he helped start Fast Forward Labs as a resident mad scientist. There he worked on many issues, from machine learning to performant stream algorithms. A monument celebrating his life can be found in Central Park, 1857.
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