September 08 to 10 2014, Santa Clara, USA.


Speaker "John Akred" Details

Name :
john akred
Title :
Topic :

Data Strategy for Modern Business

Abstract :

By now, most businesses understand that they need to be making full use of their data. But how do you map your current data architecture and analytics processes to the capabilities available in modern Big Data tools? John Akred, CTO of Silicon Valley Data Science and former Big Data R&D Lead at Accenture, will describe a road-tested method for developing a data strategy that will help you move from business problem, through an understanding of data requirements and technical capabilities, to creating a targeted roadmap for a Big Data pilot project.

Profile :

John Akred is the Chief Technology Officer of Silicon Valley Data Science, and has over 15 years of experience in advanced analytical solutions and analytical system architectures. He is a recognized expert in the areas of applied business analytics, machine learning, predictive analytics, and operational data mining. He has successfully delivered applications using various architectural approaches—from stream processing, in-database analytics, complex event processing, and emerging distributed non-relational data platforms (NoSQL) to real-time scoring, real-time optimization, event-driven architectures, and other applications of analytics—at scale. Mr. Akred has architected systems incorporating NoSQL as well as traditional approaches such as Hadoop, Cassandra, HBase, Riak, Oracle, and SQL Server. He has also designed operational solutions based on predictive analytics implemented in Greenplum, SAS, SPSS, and MATLAB. Mr. Akred has held senior positions as Chief Architect of the Big Data practice at Accenture and Senior Manager of the Emerging Data Platforms group at Accenture Technology Labs. He has worked with clients from the US Postal Service to Xcel Energy. Prior to Accenture, he was a Solution Architect at SPSS and a Senior Research Analyst with the Chicago Board Options Exchange.


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