The pandemic has driven the digitization agenda of the organisation and forced us to rethink about the future of work. Companies are using Artificial Intelligence, Machine Learning, and predictive analytics in a growing range of contexts. Robotics and other semi-autonomous machines are taking on tasks that were long believed to be executable only by humans. Repetitive tasks are being automated and allowing employees to focus on high-value work. Finally, advances in materials and biological sciences, such as nano-technologies and bioengineering, are rendering robots more human-like and are changing the way humans’ function, the future is bionic. Many of these technologies have been used in some form for decades but are now gaining prominence.
Along with AI, ML, and all other leading technologies, firms need to adopt technology platforms that support asynchronous communication. Future operating models will have a significantly large proportion of people working in a distributed manner (time zone, location, flexible timings). Asynchronous communication will need to be learned and adapted more by firms to make the future of work a success. During the pandemic, most firms went virtual but took the same modes of working that were successful in the physically co-located world, to the online world. We have seen that multiple online meetings can cause significant fatigue. Hence, it becomes important for us to learn and implement asynchronous communication in our day-to-day work.
The future will be shaped by developments in areas of technology such as AI, ML, automation, and data analytics. Companies that make investments in new technologies have the potential to use those technologies as a force multiplier and derive enormous benefits from those investments. However,
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