This is an excerpt from an article in 2019 about the "Talent... This is an excerpt from an article in 2019 about the "Talent Optimization" platform that IBM Consulting has developed and sells commercially. "For instance, the Watson-powered Al could take into account intrinsic data such as the employee's social media posts, preferences, performance at work, workplace behaviour and interests, before throwing up a result. Further, the solution keeps on learning about the employee via different forums, checkpoints, social media use and other feedback mechanisms such as 360-degree feedback, etc., in order to create a persona for future references. These personas can be used by the Al in the future as reference points when hiring another employee in the same team or department. "Based on the employee's performance, self-appraisal, interests, etc., Watson can determine various key metrics such as how much invested the employee is, how much did the productivity vary from one project to another, how entire teams are performing, is diversity having an effect on the team, does the employee need a certain training or orientation, etc.," Mohanty said. This helps companies to not only check attrition but also understand why productivity stops rising at a certain level. Apart from IBM, there are quite a few startups from India and technology giants such as Microsoft that are working on Al and machine learning-based human resources products and services." What is value-added that IBM's Talent Optimization tool offers a client? What is your response? Also, in what areas do you believe this platform could be an advancement