Hareesh Kumar Munaganuri, Nishanth Juturuchinna , Shafi SMD – IBM India Pvt. Ltd.
There has been a continuous effort on making machine more Intelligent and smart. We could achieve it with Cognitive analytics evolution and Machine Learning.
Cognitive analytics is the technology where the machine is implemented with human thought process to simulate human’s brain recognition capability to draw, design or recognize a pattern from the huge volumes of data and to fetch the right data for Big data application. Machine Learning is the ability to learn with Data without being explicitly programmed. The contribution of Cognitive analytics and Machine Learning in Hospitals has helped Doctors predict the medical issues in a better way in the least time and has helped them in curing the disease more efficiently. It has not only made its place in Hospitals but also many other services in making daily life easier.
Examples of Applications implementing Cognitive analytics and Machine Learning are as follows: 1. In industries like In Global stationary retailer, customer are able to order stationary items with the help of smart staples by orders in the form of an audio message, text or an email with the help of Watson 2. Second example would be Wimbledon’s AI generates automated video highlights based on the crowd noise, facial recognition etc… Wimbledon has also launched WATSON based application named ‘Ask Fred’ recently 3. Third example would be North face, an online Clothes store, where based on questions asked to customers like when and where the jacket will be used, Jacket collections will be filtered.
There are many other Enterprise application that uses cognitive analytics and Machine Learning application for enhancing their product. It is very important to test all those enterprise cognitive application in terms of reliability and availability for the best use of the application therefore performance testing plays a key role of any enterprise application.