Category: Clinical Analytics
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The importance of Healthcare Quality Analytics cannot be over-emphasized. In most industries, if not all, analytics is used for various things and in different levels. One of the latest uses of analytics is in AI technology. It can also be argued as the most advanced type of technology that analytics is being used for today. Artificial intelligence is attempting to break records and take technology to a new age of groundbreaking inventions. One area that Artificial Intelligence is becoming more and more prominent is in the Automobile industry. The industry is currently leading in the area of putting out inventions using AI. From the very advanced such as driverless or self-driving cars to other more subtle equally amazing invention like advanced driver assist features.


Analytics and AI in the Auto Industry

Self-Driving Cars

Surprisingly, this technology is no very new. Companies like Mercedes have tried to make self-driving cars as far back as in the 1970s. Now the leading companies in this field are Google, Apple, and Tesla. These companies are currently spending lots of money on research and hiring the best minds in the technology industry to be able to fully implement their goal of making self-driving cars and presenting it to the public. There have been many prototypes that have been made but self-driving cars is not available to the public just yet.

Driver-Assist Features


More accessible and easier to achieve is making cars with advanced driver-assist features. A lot of car manufactures not just the industry leaders are working on making cars with more advanced features that make driving a lot more easier and safer. By introducing features that assist the driver without actually taking the wheel, many companies are taking a cautious approach to AI-based features, while still turning out vehicles with advanced safety features. Automatic braking, collision avoidance systems, pedestrian and cyclists alerts, cross-traffic alerts, and intelligent cruise controls are some of the lesser features being powered by AI.

Cloud-Hosting Intelligence

The Cloud- no one really knows what it is but everyone uses it. The cloud helps you store information and then you can access that information from any device and at any location. This centralized connectivity is one of the many reasons why cloud computing is very advantageous to the automobile AI industry. Cloud computing has certain advantages that make it the perfect platform for staging and deploying AI technology in the automotive field. Among these are fast processing speed, big data access and analytics, and centralized connectivity. By 2020, industry analysts estimate that nearly 250 million cars will be connected to the Internet. The new vehicles coming equipped with a host of smart sensors, embedded connectivity applications, and big-data enhanced geo-analytical capabilities. As companies endeavor to develop cutting-edge automotive technology, cloud-based platforms will be developed to support them.

Cloud computing is already being used to do a lot in cars and other automobiles, below are some already existing uses of cloud computing in cars:


Enhanced Connectivity


With enhanced connectivity in cars, drivers and passengers can perform some connecting activities from their cars using just voice command. People prefer to stay connected at all times and this feature makes that possible without putting the driver or passengers at risk. The AI systems allow drivers, and passengers, to receive and send emails, perform Internet searches, and interact with smartphone apps — all via voice command. Some vehicles will soon include their own WiFi hotspots, which use cell carriers to provide Internet connectivity. Curfew and geo-fencing features will alert parents if their child drives above a certain speed, drives outside a designated radius, or drives the vehicle outside a parent-approved timeframe.

Perhaps, the most important contribution AI is making to connected vehicles is in making vehicles safer. Through vehicle-to-vehicle (V2V) technology, connected cars will have the ability to communicate with one another. V2V technology can reduce accidents by helping each car to inform other vehicles around them of what they are doing. For example, if a driver fails to slow down as they approach a red light, their connected car could alert cross traffic to avoid proceeding into the intersection. The vehicles with the right of way could even brake automatically to avoid the collision. Doesn’t the future look so bright? Hopefully, the machines don’t develop their own consciousness and imprison us all!