Unlocking the Enterprise Potential Behind an IoT Strategy

by July 27, 2020


Internet of Things is getting smarter, credit to the power of Artificial Intelligence and Machine Learning

Finding data insights is the key concern enterprises are facing today. They are incorporating AI, ML to IoT sensors: The ultimate goal? To find key data patterns.

Artificial Intelligence is paving way to Internet of Things (IoT), thus crafting an IoT strategy by evaluating a potential new IoT project, or seeking to get more value from an existing IoT deployment may want to explore a role for AI.


Unlocking the AI potential

Artificial intelligence would play a decisive role in IoT applications. This is well understood by the fact that more deployments, investments and acquisitions merge AI and IoT. With major vendors offering integrated AI capabilities such as machine learning-based analytics.

The value of AI in this context is getting more comprehensive insights from data. Machine learning, brings the ability to automatically identify patterns that is captured by smart sensors and devices like humidity, air quality, vibration, and sound parameters.

Other AI technologies like speech recognition and computer vision technologies avoid unplanned downtime, increase operating efficiency, spawn new products and services, and enhance risk management.


Answering the Operational Efficiency Concern

AI-powered IoT can also help improve operational efficiency by predicting operating conditions and identifying parameters which need to be adjusted by crunching constant streams of data to detect patterns invisible to the human eyes.

Besides, continuous improvements in https://www.analyticsinsight.net/internet-things-changing-customer-service/. Natural language processing (NLP) is getting better helping people speak with machines directly.  AI-controlled drones and robots can go where humans bring new possibilities for monitoring and inspection that simply did not exist before.


Risk Management and IoT

IoT with AI integration are helping enterprises to better understand and predict risks and automate rapid responses which lets them to better manage financial loss, cyber threat and worker safety.

We say safely assume that it may soon become rare to find an IoT implementation that does not make some use of AI. The International Data Corp. predicts AI will support “all effective” IoT efforts and without AI, data from the deployments will have “limited value.” If an enterprise plans for implementing IoT-based solutions, that must probably include AI as well.