Date(s) - January 10, 2018
11:00 am - 12:00 pm
NOTE: All IBM Code Tech Talks are held at 11:00 a.m. Eastern Time (North America) unless otherwise specified. A replay of the presentation will be available for viewing on our YouTube Channel immediately after the call.
Join us for this call and discover how to combine the power of a Jupyter Notebook, PixieDust, and IBM Watson™ cognitive services to glean useful marketing insight from a vast body of unstructured Facebook data. We’ll expand on the Facebook usage insights code pattern and show you how to help improve brand perception, product performance, customer satisfaction, and audience engagement by taking data from a Facebook Analytics export, enriching it with Watson Visual Recognition, Natural Language Understanding (NLU), and Tone Analyzer, and creating interactive charts to outline your findings.
- Tyler Andersen and Anna Quincy: Tyler and Anna are part of the Watson Embed and Strategic Partnerships team focused on pairing Cognitive Services with Data Science Patterns and Techniques for clients around the world. They work directly with clients to determine how they can use Watson and IBM’s Data Science Experience with their own data to solve a wide range of business issues.
- Mark Sturdevant: Most of Mark’s career has focused on writing code and designing products to make data useful and to make database and application performance manageable. He became hooked on open source as an OpenStack contributor and core reviewer. Currently, Mark is a developer advocate at IBM where he implements open source developer journeys to guide developers as they innovate using IBM’s cognitive and data analytics solutions with Watson and the Data Science Experience (DSX).
- Harness the power of cognitive data analysis in a Jupyter Notebook with PixieDust
- Blog post: Cognitive Facebook data analysis using a Jupyter Notebook with PixieDust
- Analyze traffic data from the city of San Francisco
The IBM Code Tech Talks are a series of calls and demos where IBM Code pattern project owners peel back the covers of their pattern projects, sharing functions, techniques, challenges, and goals.
The series is designed to help you understand more about the patterns currently on IBM Code, introduce you to the developers, communities, and ecosystems that are driving open source innovation at IBM, and help you discover opportunities to use and contribute to these projects and connect with the innovators and communities behind them.
To see previously recorded IBM Code Tech Talks, visit the IBM Code YouTube channel.