How AI and Robotics are shaping the future factory

In our AI-driven world, technology revolutionises daily life and work. Digital twins and generative AI redefine industries, fostering collaboration between humans and machines. AI's growth in India propels innovation across healthcare, finance, and manufacturing.

- Avi Dahiya

In today’s AI and robotics-driven world, we are witnessing a profound transformation in the way we live and work. AI, or artificial intelligence, has now become a crucial aspect of our everyday lives. It’s the engine that drives everything from the AI-powered virtual assistants in our smartphones to autonomous vehicles navigating our streets. However, technology’s cutting-edge effects are not beyond these common applications.

Two transforming trends that co-exist, digital twins and generative AI, redefine the world. Digital twins, virtual replicas of physical objects and systems, have moved beyond manufacturing to influence various industries, bridging the gap between the digital and physical worlds. Meanwhile, generative AI does change the future of work through the automation of tasks and leads to increased productivity. These advancements not only offer efficiency gains but also unlock untapped potential, ushering in a new era where humans and smart machines collaborate to redefine the future of work.

The AI market size in India reached $680 million in 2022 and is expected to further reach $3,935.5 million by 2028, exhibiting a CAGR of 33.28 percent. In healthcare research, AI-driven findings and personalised treatment recommendations are transforming patient care. The financial sector benefits not only from fraud detection and process automation but also from AI’s critical role in data-driven investments, enhancing portfolio management. Various industries leverage AI-embedded virtual assistants and robots for personalised and efficient customer service. Furthermore, manufacturing experiences a renaissance with AI-driven predictive analytics, foreseeing and preventing breakdowns, reducing downtime, and optimising operational efficiency, all while ensuring higher yields and enhanced process security. This marks a remarkable leap forward in manufacturing.