Date(s) - October 18, 2017
11:00 am - 12:00 pm
This event has finished. See the recording on the IBM Code YouTube channel.
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.
When it comes to data science in the enterprise, organizations often face a culture of self-interest that leads to unnecessary friction, inefficiencies, and ultimately a failure to realize the full potential of data science.
In this talk, we’ll first examine how the tools that are part of the Watson Data Platform address the expectations and challenges around data science. We’ll look at the shortage of technical expertise, overly complex and inaccessible analytics tools, and insufficient attention paid to data governance and cataloging.
We’ll then discuss the problems from a practitioner perspective by doing 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 will reveal 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.
- David Taieb: David is the Distinguished Engineer for the Watson Data Platform Developer Advocacy team at IBM, leading a team of avid technologists with the mission of educating developers on the art of possible with cloud technologies. He’s passionate about Data Science and building Open Source tools like the PixieDust Python Library for Jupyter Notebooks and Apache Spark, that help improve developer productivity and overall experience. David enjoys sharing his experience by speaking at conferences and meeting as many people as possible.
- Scott D’Angelo: Scott is a developer advocate working on IBM Watson Cognitive services and IBM Data Science. He has worked on Linux kernel and network protocols, storage and clustered file systems, and IaaS as an OpenStack public cloud operator/developer and an OpenStack Cinder Core developer.
- Analyze traffic date from the City of San Francisco
- Cognitive Facebook data analysis using a Jupyter Notebook with PixieDust
- More data science developer journeys
The IBM Code Tech Talks are a series of calls and demos where IBM Code journey project owners peel back the covers of their journey projects, sharing functions, techniques, challenges, and goals.
The series is designed to help you understand more about the journeys 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.