The backbone of Artificial Intelligence (AI) relies on the data that it collects. For an AI system to perform tasks that typically require human intelligence such as decision-making, there are two commonly known techniques it uses: machine learning and deep learning. Both techniques require data to be analyzed almost instantaneously to make split-second decisions. This is where IoT partners use AI to create an effective solution in nearly every industry. Certain industries benefit more than others in this AI and IoT realm based on the type of data available to collect.
The key takeaway here is that partners in the following industries should consider the benefits of IoT in any potential AI system used. To help you identify where IoT fits in the scheme of AI solutions, here are three leading industries that use IoT in their AI machines and possible use cases involved.
Major medical and pharmaceutical companies are already seeing positive results for patient diagnosis through harnessing the power of artificial intelligence. An example of this is patient diagnosing with the capability to detect skin cancer through visual recognition of multiple images of data. Aggregating photos of lesions, moles and rashes, and using AI to recognize the characteristics of the images, allows for a timely identification of a patient having skin cancer. The idea is that big data was transferred from somewhere and ended up somewhere else. The ability for this can be found in a simple IoT solution using camera software to view the images and send this data to multiple sources (Hospitals) with minimal human navigation in the process.
Manufacturing was one of the premier industries to utilize AI by using robots to assemble products and package them for shipment. From production line optimization to machine-2-machine communication, AI allows these machines to be aware of their conditions such as internal temperature, vibration intensity and any other variables that affect machine life, evolving into predictive maintenance capabilities. Using the data transferred from the sensors, we follow it through the machine learning process, which translates the data into actions such as commanding the robot arm to replace itself, or a new tool head to be removed and replaced without human involvement.
AI lies at the heart of future mobility. Congregating data from every possible source, funneling it into algorithms and feeding it into machines that predict an individual’s behavior and acts on their needs. AI will become a key component in how we move. Collecting the data is half the battle, but for an autonomous car to know when you’re going to work every morning and arriving outside your day on time could eliminate the need for owning a car. Regulating city traffic by using camera sensors to heat map bottlenecks, geo-fencing specific locations to understand how busy it is can help resolve alternate routes for morning traffic, as well as rush hour!
Healthcare, manufacturing and transportation are three of many other verticals the Tech Data IoT Solutions team focuses on daily. We can help you understand your part in this up and coming realm. Consult with us on how we can get you the data to support your future solutions.
Reach out to Tech Data IoT Solutions for more information, or to learn how we can help you tap into the IoT opportunity today. Contact us at firstname.lastname@example.org and visit iot.techdata.com. For additional info, watch our short video that paints a better picture of IoT in the year 2022 and how it’ll affect the way you do business.