CTO and a Co-Founder
Silicon Valley Data Science
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—including stream processing, in-database analytics, complex event processing, emerging distributed non-relational data platforms (NoSQL), real-time scoring, real-time optimization, and event-driven architectures—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.