The big companies are benefiting from the potential of Artificial Intelligence in IoT to offer new services and operate more efficiently.
The IoT is getting smarter and smarter, and this fact is not going unnoticed among organizations. Venture capital investments in AI-powered IoT startups have increased dramatically, and major IoT platform software vendors now offer built-in Artificial Intelligence capabilities. For example, analysis based on machine learning allows you to automatically identify patterns and detect anomalies in the data generated by sensors and smart devices.
Improve operational efficiency and risk management.
In the manufacturing process, the predictions derived from these technologies can reduce manufacturing time, increase uptime, increase equipment availability, and reduce overall maintenance costs.
On the other hand, various applications that combine IoT with AI help organizations understand and predict a variety of risks, as well as automate a rapid response, allowing them to better manage worker safety, potential financial losses and cyber attacks. For example, Fujitsu has managed, through machine learning, to analyze data from wearables to estimate the risk of heat stress that factory workers can suffer.
Artificial Intelligence has the potential to increase the value created by IoT implementations in companies in any sector. Leaders of organizations contemplating IoT projects should know that machine learning for predictive capabilities is now integrated with most of the major horizontal and industrial Internet of Things platforms. As in the case of connected cars, BMW's CarData platform provides access to data shared by vehicle owners and the artificial intelligence capabilities of IBM Watson Internet of Things.
Then: is IA + IoT the perfect combination to disrupt your market?
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