Unlocking the value of artificial intelligence and machine learning

In an era of accelerated digitalisation, artificial intelligence (AI) and machine learning (ML) have fast become part of the IT infrastructure of many businesses. Consequently, how these technologies are being used to derive meaningful insights from vast quantities of data is maturing rapidly. "Early on, when organisations didn't have access to the computing power and zettabytes of data that they have today, AI was only springing up in pockets," says Vaidya JR, SVP and global head of data and AI at IT transformation specialist Hexaware Technologies, "The approach then was to see what AI could do for a company, without truly identifying a well-defined problem. Data science solutions were just a shot in the dark. "Organisations were struggling to put their data to effective use, which led to limited value generated and ineffectual business results," he adds. "You can crunch any amount of data, and create numerous models; it only adds value if there is a significant impact on the business.