AI is everywhere. Intelligence is no longer exclusively human.

Modern technologies and the dawn of machines powered by Artificial Intelligence (AI) have already strongly influenced the world of work in the 21st century. Computer systems, algorithms and software simplify everyday tasks, and it is impossible to imagine how most of our lives could be managed without them.

When we transfer the past experience to the future, distressing questions like “what will the future world of work look like?”, “will humans spend less time earning their livelihood in the future world”, alternatively, “would mass unemployment and poverty be a possible scenario for the future world, a world where robots and intelligent systems play a progressively dominant role?” will arise, apart from the questions on Economic structures, workplace relationships, job profiles, working culture and remuneration models will undergo major changes likely.

Industry 4.0 introduces trend of automation and data exchange in manufacturing technologies. The cyberphysical systems monitor the physical processes of the factory and make decentralized decisions. In today’s business, Industry 4.0 is driven by digital transformation in vertical/horizontal value chains and product/ service offerings of the companies. The required key technologies for Industry 4.0 transformation such as Artificial Intelligence, Internet of Things, Machine Learning, Cloud Systems, Cyber Security and Adaptive Robotics cause radical changes in the business processes of organizations.

In order to meet the standards set for Industry 4.0, future employees must learn new key qualifications, but the educational system must also be adapted to these new framework conditions and agree upon ‘should not teach the world as it was, but as it will be’. Adaptability is one of the major challenges that humans face. The next generation of employees must learn to adapt quickly to the technical, social and digital change, because it is to be expected that even a ‘fifth industrial revolution’ will not be long in coming.

Speakers

  • Dr Mitesh Khapra, Indian Institute of Technology, Madras
  • Magesh Srinivasan, Global Head - Connected Car & Deep Learning, HCL Technologies