Why Machine Learning For Machine Learning's Sake Is A Bad Idea?

Today, businesses are increasingly reliant on artificial intelligence and machine learning to solve critical problems. However, dealing with immense data complexities along with the pressure of having to provide rapid results, could be crippling. Most companies find building an ML-savvy framework quite overwhelming. In an engaging session at MLDS 2021, Sayanti Bhattacharya, Senior Manager, and Ashwin Pai, Manager at Ugam, a Merkle Company, addressed how businesses can apply machine learning to drive results. Machine learning has become such a fashion statement that, more often than not, businesses jump the gun by implementing ML in a hurry, defying logic.