The
Future Of Autonomous Systems

Very often, the terms “automated” and “autonomous” are used interchangeably, and while they’re similar, they’re not the same. While automated systems are run based on ML and AI and restricted to specific parameters within which they can work, autonomous systems also use ML and AI but are more adaptive and learn within dynamic environments. Autonomous systems are more intelligent and can even be likened to the human brain based on their decision-making process and ability to work seamlessly with humans as well as other machines. These sophisticated systems can solve many modern-day problems from supply chain management, hasten production, provide new job opportunities, and even be trained to assist in the healthcare sector and personal use by people with disabilities.

While enjoying the benefits of autonomous systems across various industries, humanity must also have the ethics attached to developing these systems under control, from legalities and safety of operations to transparency. Although there’s still work to be done in developing these systems, the future of autonomous systems in the next decade or two shows a lot of promise.

In this episode of “The Future Of” Jeff is joined by Gurdeep Pall, Corporate Vice President, Head of Product Incubations at Microsoft, and Steve Yin, Principal Software Engineer at Fresh Consulting. We talk about AI and autonomous systems, the use of robots in our daily lives, the training of systems to mimic the human brain, and the retraining of humans in adaption to these systems, to mention a few.