Abstract

The Workplace has gone through a transformation over the last century from a manual driven process to a mechanized process to an automated process. Today the buzzword in Industrial Workplace is Automation and Artificial Intelligence. Companies are deploying robots, chat bots and humanoids to get tasks accomplished that were hitherto being done by human beings. TV Mohandas Pai, Chairman of Manipal Global and ex-CFO of Infosys, has predicted that 2,25,000 jobs will be lost in next one decade due to automation. Companies are currently using Cognitive Computing, Machine Learning and Deep Learning to maximize their output and return-on-investment (ROI) from the Workplace. Cognitive Computing is being used to handle complex, ambiguous situations and enable more “human-like” interactions with software. Here, human thought processes are simulated through data mining, intelligence, automation and natural language processing. Machine learning is used to automate the building of systems by learning from data. It identifies patterns and predicts future results with minimal human intervention. Deep Learning is where Machine Learning meets Big Data and Analytics. Deep Learning uses Neural Networks to structure a computer like the human brain — complete with neuron-like nodes connected together.   Will Automation and Artificial Intelligence disrupt the Future Workplace? How will the Workplace of Future look like? What are the skill-sets that employees of tomorrow need to acquire to face the challenges of tomorrow? How will Industrial Robots and Human Workers complement each other? This research paper will seek to understand how Artificial Intelligence and Business Analytics will reshape Future Workplace.