Cognitive Computing has swiftly advanced from being just another initiative to a commercial reality. Be it in the field of real estate, automobile, media or marketing; cognitive computing will most definitely make an unerasable mark in the respected field. The cognitive machine analyses the data and then adapts and learns from its mistake. Cognitive Computing […]
Processing large datasets in a reasonable amount of time does not always be supported with the conventional statistical methods. These traditional statistical solutions typically focus on fixed analytics that is limited to the available samples that are frozen in time, which often results in either transcending or deceptive conclusion.Cognitive Computing and Machine learning addresses this challenge which spotlights the development of swift efficient cognitive algorithms.
These cognitive or machine learning algorithms enable real-time processing of huge volume of data, deliver precise predictions of various types such as recommending right products, customer segmentation, detecting fraud and risks, customer retention etc. Cognitive Computing and Machine learning supports these functions by creating a set of cognitive or machine learning algorithms that differ from the traditional statistical techniques. The emphasis is on real-time and highly scalable predictive/cognitive models, using fully automated methods that make data scientist tasks easier.