Recorded: Oct. 18, 2017
This talk examines how the tools that are part of the Watson Data Platform address the expectations and challenges around data science. It includes a deep dive on a specific developer journey, Analyze traffic data from the City of San Francisco, which addresses the use case of analyzing traffic accident open data. The demo reveals how tools like Jupyter Notebooks and PixieDust can help better collaborate with one another to solve key business problems and reduce the costs and time-to-market associated with building an end-to-end data science pipeline.
- Analyze traffic date from the City of San Francisco
- Cognitive Facebook data analysis using a Jupyter Notebook with PixieDust
- More data science developer journeys
Watch for upcoming IBM Code Tech Talks on our Events page and take a deeper dive into developer journeys and their goals, processes, tools, and challenges.