Date: Wednesday, December 12, 2018
Time: 12:00 PM Eastern Standard Time
Duration: 1 hour
- The dangers of too much data
- The best way to start building a predictive analytics strategy
- Evergreen strategies to ensure data quality for predictive analytics
- Why and how Data Science services have become a lifeline in an IoT deployment
Join Matthew Honaker, PhD, Principal Data Scientist at Bsquare, for this live webinar where he will highlight the top data science strategies of 2018 and share his predictions for 2019.
Gartner predicts that more than 40% of data science tasks will be automated by 2020, resulting in increased productivity and broader usage of data and analytics. Despite the current hype around â€œbig data,â€ an overabundance of data can actually create a host of problems that prevent robust and timely predictive analytics and the implementation of IoT data effectively. As a result, many industrial companies today are faced with the challenge of overwhelming unstructured data thatâ€™s difficult to harness.
In this webinar, Matt will discuss:
Matt Honaker, PhD
Principal Data Scientist
At Bsquare, Matt focuses on developing robust and scalable predictive models using machine learning, application of statistical methods, and working to develop business applicable (and actionable) insights through data science, all on IoT data from a wide array of domains.