USING DATA FOR AUTOMOTIVE ASSISTANCE

Edge computing is being explored and adopted within the automotive industry to support the increasingly complex software being deployed in cars. The article explains how industrial edge computing unlocks data, the potential for automotive companies.

- Sachin Bhalla

The automobile sector in India is valued at more than $100 billion, produces 8 percent of the total exports made by the nation and makes up 2.3 percent of India’s GDP. The introduction of AI has changed the way things are. It’s difficult to avoid the conversation about partially or completely driverless vehicles powered by artificial intelligence these days (AI). Both sceptics and supporters of major innovations in the automotive industry have strong views on their advantages, disadvantages, and prospects for the future.

Edge computing is being explored and adopted within the automotive industry to support the increasingly complex software being deployed in cars. Edge computing offers the automobile sector a way to overcome issues with latency, bandwidth, and autonomy, as well as security and legal regulations that prevent us from fully utilising data. Automotive players may use their data in real-time by using the industrial edge, giving them a competitive advantage that is more important than ever. If analysed near the source, Internet of Vehicles data can give businesses a competitive advantage.

Everything is guided by software, including testing, production, and in-car navigation. Between 2017 and 2024, the market for linked cars, or the Internet of Vehicles (IoV), is expected to increase by more than 200 percent. Modern automobiles produce mountains of data at every stage of their existence, from production through decommissioning.