April 02 to 04 2018, Santa Clara, USA.

Speakers

Speaker "Chuck Yarbrough" Details

Name :
chuck yarbrough
Company :
Title :
VP Technology
Topic :

Managing the Intelligent Data Pipeline and the Connected Enterprise

Abstract :

In today’s modern world, data moves faster and in more directions than ever before. Managing that movement and ensuring that data is appropriately connected and blended with all the data across the enterprise (and beyond) is important. But what is really driving business acceleration and reducing costs is the ability to manage the pipeline intelligently, enabling the use of that data to solve an organizations biggest business challenges regardless of where that data comes from or where it exists. The idea of the connected enterprise ensures that data on premise, in the cloud or in a variety of hybrid environments is able to be put to work in machine learning models to predict and prescribe answers to these business challenges. In this session, we’ll look at ways you can gain control over the data pipeline and discuss how cloud, big data and Machine Learning models intersect. With a key focus on real customer use cases, you’ll learn how to manage the pipeline, how to manage Machine Learning Models, and how streaming and cloud integration can create the connected enterprise.

Profile :

Chuck Yarbrough is VP of solutions marketing and management at Hitachi Vantara, a leading IoT and big data analytics company that helps organizations solve their biggest technology challenges. Chuck is responsible for creating and driving repeatable solutions that leverage the Hitachi Vantara’s Pentaho platform, enabling customers to implement IoT and big data solutions that transform companies into data driven enterprises. quicker and achieve greater ROI faster. Chuck has more than 20 years of experience helping organizations use data to ensure they can run, manage and transform their business through better use of data. Prior to Hitachi Vantara, Chuck held leadership roles at Deloitte, SAP, and Hyperion.

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