We all know that company performance depends on several factors, and that many of those factors are variable and even non deterministic. If life is prone to inconsistency, so is business. Much of this is because of the unpredictability of human behavior, which is why it is interesting to grasp it with new kind of statistical models provided by what we call today data science. In data science, building such a model is like assembling gears to create a mechanism that works on data. The only systematic and consistent approach is the scientific method – in other words, an inductive and iterative process. We make assumptions from the data to explain the fluctuations and correlations we observed, and then identify the models that could reproduce these observations.

IBM has launched a range of new machine learning-based security tools that it says can help firms identify and fight off cyber attacks. The company has unveiled its next-generation Resilient Incident Response Platform with'Intelligent Orchestration', which is aimed at helping enterprises respond to breaches more quickly and effectively. From a single platform, companies can access case incident management, orchestration, automation, intelligence, and "deep two-way partnership" features, said IBM in an announcement. Big Blue said its experts spent around 200,000 hours in research and development to create the software. In a bid to combine machine and human intelligence, the firm has also launched X-Force Threat Management Services, a new artificial intelligence-driven solution that automates threat detection.