Operationalizing analytics to scale

September 30, 2015
Many companies have invested time and money into building sophisticated data pipelines that can move massive amounts of data, often in real time. However, for the analyst or data scientist who builds offline models, integrating their analyses into these pipelines for operational purposes can pose a challenge. In this slide deck, we will discuss some key technologies and workflows companies can leverage to build end-to-end solutions for automating statistical and machine learning solutions: from collection and storage to analysis and real-time predictions.
Previous Presentation
5 Ways Centralizing Your Data Will Change Your Business
5 Ways Centralizing Your Data Will Change Your Business

Check out the recorded webinar at http://bit.ly/1j9fTBW While data is valuable on its own, a huge amount o...

Next Presentation
Webinar with SnagAJob, HP Vertica and Looker - Data at the speed of busines slides
Webinar with SnagAJob, HP Vertica and Looker - Data at the speed of busines slides

Enterprise companies are struggling to manage increasing demands for data with legacy BI tools. By centrali...