The introduction of artificial intelligence (AI) in the automotive industry is not new and AI has already made significant transformations in the automotive arena. IBM Watson’s collaboration with General Motor’s OnStar platform and Toyota’s $1 billion investment in AI-operated self-driving technology, stand testimony to the successful marriage of AI with the automotive technology. With the recent advances in AI technology, especially in the automotive realm, every stakeholder in the industry is aiming to capitalize on AI implementations in next-gen automobiles.
The following trends of the AI automotive industry prove that AI is here to revamp the entire automotive landscape:
• Assisted Driving:
The quest for self-driving cars began long back in the 1970s, but without the appropriate technology at disposal, driverless cars remained to be a far-fetched dream for many decades. In the digital era, technology has improved by leaps and bounds and with smart systems, GPS, and predominantly AI, driverless cars are almost here. Although completely autonomous cars haven’t made their way to showrooms yet, tech giants such as Google and Tesla are extensively investing in AI automotive technology and their R&D teams for the same.
While fewer companies are focusing on fully-automated automobiles, most automobile companies are taking smaller steps toward implementing AI-powered features such as collision aversion systems, traffic alerts, automatic braking, and much more.
• Cloud Computing empowering AI Automotive Realm:
Deploying and implementing AI in the automotive arena has become significantly easier with cloud computing. The various advantages of the cloud-computing platform include big data access, data analytics, fast processing speed, centralized connectivity and much more.
With the proliferation of IoT, industry analysts estimate that about 250 million cars will be connected to the internet by the year 2020. Newly manufactured cars come equipped with a slew of advanced technologies such as connectivity apps, smart sensors, and next-gen geo-analytical capabilities; IoT seems to perfectly fit in the puzzle as well.
• Improved Connectivity:
Automobile manufacturers are looking to better connect drivers and passengers with AI-operated systems that allow them to send and receive emails, surf the internet, and interact using smartphone applications. Today, vehicles are also offering WiFi hotspots to provide seamless internet connectivity.
• Smart Assessment of Insurance Risks:
Leveraging deep learning and AI technology, technology developers, like Nauto, are devising cloud-operated platforms that can track unsafe driving habits, near misses, and driver alertness. By monitoring driver behavior, these intelligent platforms can help determine the drivers that are more susceptible to risky driving and premiums can be adjusted duly.