People and Management February 2019 | Page 40

FOCUS HAPPY MONDAYS TO YOU! When companies use algorithms and modern HR-tech to measure smiles at work, it leads to better employee engagement and higher productivity Arjun Shankar Chief Corporate Management Services Offi cer, NIIT Limited W hat’s the biggest people challenge that even some of the best corporations in the world face? Talent acquisition and retention is perpetually a top agenda item. We all know how employee engagement, happiness and sense of ownership are directly proportional to people productivity at work and that’s why employee satisfaction remains a priority for all businesses. Tools of the Future It’s hard to gauge what’s happening on the floor in distributed offices without comprehensive real-time data from as many sources as possible. Besides, it’s best to respond to a situation as soon as it occurs and not 12 months down the line. That’s what some of the predictive intelligence and HR bots have begun to do. They raise an immediate red fl ag on concerns to allow organisations to focus their efforts. AI tools can help in improving the employee experience in the 40 | Vol. 10 Issue 2 • FEBRUARY 2019, Delhi NCR areas of development, training, collaboration and teamwork. Investing in People When you have machines to do such analysis and process automation, it leaves the HR more time to focus on individual connects and drafting innovative methods to boost employee productivity. There is literature that AI rules out unconscious bias in promotions and reviews, it empowers the HR and managers to identify skills gap and match the training requirement for the employee. These include soft skills, basic and advanced up-skilling. Also, when a manager points out a pattern of non-performance in his team member, Machine Learning can display effective solutions that have worked for other teams as well. This data-fuelled solution can be mapped with the individual’s personality and learning curve to determine best suited methodologies. Also, when learning gets fun,