Martijn Verburg is the CEO and co-founder of jClarity a Machine Learning based Java/JVM performance analysis company. He is the co-leader of the London Java User Group (LJC), and leads the global Adopt a JSR and Adopt OpenJDK efforts to enable the community to contribute to Java standards and OpenJDK. Martijn is the co-author of "The Well-Grounded Java Developer" on Java 7, Polyglot Programming on the JVM and modern software development techniques. Martijn also acts as a community lead for the PCGen and Ikasan open source projects, moderates at the Javaranch and can be found answering thorny questions on the programmers stack exchange sub-site. He was recently made a Java Champion in recognition for his contribution to the Java ecosystem. He's a popular speaker at major conferences (JavaOne, JFokus, OSCON, Devoxx etc) where he is known for challenging the industry status quo as "the Diabolical Developer".

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Sometimes it's hard to see the wood for the trees

Clinton’s campaign: Could machine learning and Java have prevented their failure to handle big data?

Hillary Clinton’s 18-month campaign as the Democrat candidate for the presidency of the United States has been famously and resoundingly data-driven. A war room of senior analysts, mathematicians and researchers monitored, tracked and calculated every significant movement of her campaign, adjusting strategy to shift focus to different geo-political demographics. The polls gave affirmation that she was on track to win until the final hours of the campaign, but ultimately the pollsters failed to forecast the US election result correctly. A loss not just for Clinton and the Democrats, but for all those who are proponents of the value of data. Or so it is told.