Do you know where do you fall in the IoT adoption curve? Well, it doesn’t matter as long as you are learning about different technologies complimenting IoT and its integration into existing systems. The following post emphasizes Artificial Intelligence and IoT trends to watch out for in 2019.
Artificial Intelligence and Internet of Things (IoT) have already fallen into the endless pit of buzzword-vagueness. These technologies tend to evolve with each passing day. After consulting dozens of emerging technology executives and researchers and hours of combing the insights of primary market research firms, I have come up with the post that might help in concluding the fact that why using a myriad connected devices is crucial to surviving in the upcoming years. Let me show you a glimpse of how combining AI with the Internet of Things can work wonders for any business.
1. Automated vacuum cleaners: iRobot Roomba
IRobot, one of the most successful automated vacuum released in the year 2002. MIT roboticist named company came up with such technology to help its puck-shaped vacuum robots to map and remember several tasks such as a home layout, adapt to different surfaces or new items, clean a room with the most efficient movement pattern, and dock itself to recharge its batteries.
Although the use of artificial intelligence applications aren’t as celebrated as broad consumer AI advances such as Facebook’s facial recognition or Apple‘s Siri, it is nonetheless the industry standard in its class.
2. Smart thermostat solutions
The concept of smart homes hasn’t revolutionized for most of us. Fortunately, several companies are ardently aiming to change. Let’s take an example of Nest. Being an IoT device, Nest allows temperature checking and control from anywhere. Its look, feel, and interface made the device more inviting and simple to use. The device learns what are regular temperature preferences for its end users, and also adapts to the work schedule of its users by turning down energy use.
3. Self-driving vehicles: Tesla Motors
Today we are residing in an era where cars are referred to things; a digital era where leveraging powerful artificial intelligence; automotive technology turns out to be staying ahead of the curve. Autonomous vehicles are something that can be termed as most comfortable IoT innovation to be brought to life. As a result, all major car manufacturers are seen throwing of dollars at the problem; it certainly has momentum.
It may quiet interest you to know that Google’s self-driving approach isn’t all that different, and employs machine learning to predict the exact behavior of cars and pedestrians under a wide range of circumstances.
Without AI, IoT Won’t Work
By using AI applications in IoT sector, several companies can avoid unwanted downtime, increase operating efficiency, spawn new products and services, and enhance risk management.
- Get rid of costly unplanned downtime: Starting from industrial manufacturing to offshore oil and gas- unplanned downtime is a common thing that often results due to equipment breakdown. And it can cost big money.
- With the help of analytics, predictive equipment failure and orderly maintenance procedures can mitigate the damaging economics of unplanned downtime. As a result, by 20 “50 percent of the time required to plan maintenance can be reduced with the help of predictive maintenance. Other than this, increase in equipment uptime, availability by 10 “20 percent, and reduction in overall maintenance costs by 5 “10 percent are other advantages worth considering.
- Increase operational efficiency– AI-powered IoT can also help improve operational efficiency. Technologies like machine learning which can predict equipment failure. Right from the present operating conditions to identifying different parameters that need to be adjusted to maintain ideal outcomes, this is done by such tech. Its work includes crunching constant streams of data to detect patterns invisible to the human eye and not apparent on simple gauges.
- Machine learning often finds counterintuitive insights: A shipping fleet operator’s machine learning tools determined that cleaning their ships’ hulls more often ”an expensive, downtime-causing process ” increased the fleet’s overall profitability.
- Improved products and services: IoT and AI have the potential to create new products and services directly. With the help of AI-controlled drones and robots, one can reach anywhere where even humans can’t- bring all-new opportunities for monitoring and inspection that didn’t exist before.
- Enhance risk management: A wide range of applications pair IoT with AI; this ultimately helps organizations to get a better understanding and predicting a variety of risks as well as automate for rapid response. This also enables them to better manage worker safety, financial loss, and cyber threats.
What The Future Holds?
An overwhelming boost in the adoption of artificial intelligence in the enterprise and IoT is seen across the globe.
1. Security and access devices
Several companies like ACT Access Control Technologies, have already furthered the use of key fob technologies for unlocking doors and uses the best equipment possible. No matter even if you are work as an organization comprising of around a hundred or a thousand employees, technologies like artificial intelligence could be used to determine regular access patterns of different employees. It can even provide insights for future office layouts, and potentially detecting suspicious activity. This means using the same kind of technology than modern cybersecurity uses in identifying outliners.
2. Emotional analysis, facial recognition
Over the past few years, facial recognition has made a set of massive leaps and bounds like never before. Right from surveillance to marketing, it seems to be pretty safe to say that its applications haven’t been tapped. With a camera on nearly every computer and smartphone, researching relevant information only on the basis of consumer reactions to products and marketing tactics. Have you used Facebook’s auto-tagging? The example justifies this point.
