On the following link are statements by global player in digitalization of production environments.

On the end of the article you will find my conclusion. Thanks for your feedback and comments …

https://www.produktion.de/trends-innovationen/id-4-gruende-warum-it-anbieter-die-produktion-perfektionieren-105.html

Cognitive AI refers to artificial intelligence systems that aim to simulate human thought processes. These systems are designed to understand, learn, and interact with the world in a way that resembles human cognition. Unlike traditional AI, which often relies on pre-programmed rules or statistical models, cognitive AI strives to develop its own understanding of the world through experience and learning.

Key characteristics of cognitive AI include:

• Learning and adaptation: Cognitive AI systems can learn from data and experience, improving their performance over time without explicit programming.
• Contextual understanding: They can understand the context of information, enabling them to interpret language, images, and other data in a more nuanced way.
• Reasoning and problem-solving: Cognitive AI can reason about information and solve complex problems, drawing inferences and making decisions based on available data.
• Human-computer interaction: They are designed to interact with humans in a natural and intuitive way, using language, gestures, and other forms of communication.

The integration of the Internet of Things (IoT) significantly enhances the capabilities of cognitive AI by providing it with a much richer and more comprehensive understanding of the real world. Here’s how:

• Enhanced Perception: IoT devices act as the “senses” of the AI, collecting vast amounts of data from the physical world. This data can include everything from temperature and humidity readings from sensors to images and videos from cameras, sound from microphones, and location data from GPS devices. This allows the AI to “perceive” the world in a much more detailed and dynamic way than traditional AI systems.
• Real-time Data and Context: IoT provides real-time data streams, allowing the AI to understand the current state of the environment and react to changes as they occur. This real-time context is crucial for many applications, such as autonomous driving, smart homes, and industrial automation.
• Improved Decision-Making: By processing the data from IoT devices, cognitive AI can make more informed and accurate decisions. For example, an AI system controlling a smart building can use data from temperature sensors, occupancy sensors, and weather forecasts to optimize energy consumption while maintaining occupant comfort.
• New Applications and Possibilities: The combination of cognitive AI and IoT opens up a wide range of new applications and possibilities, such as predictive maintenance in manufacturing, personalized healthcare, smart cities, and environmental monitoring.

In essence, the expansion of IoT gives cognitive AI the ability to perceive, understand, and interact with the physical world in a much more meaningful way, leading to more intelligent and effective solutions across various domains.