Training data for algorithms must be right, not just plentiful - TotalCIO

Machine learning algorithms require training data -- and a lot of it -- to get the models working correctly. But more training data alone doesn't necessarily make for smarter algorithms, according to Tolga Kurtoglu, CEO at PARC, a research and development company spun out Xerox in 2002. Looking to establish accountability across disparate project teams? Trying to automate processes or allow for lean methodology support? Hoping to enable business consequence modeling or real-time reporting?