Top 10 AI Use Cases for Industrial Operations | SPONSORED
Gartner believes that by 2022, 85% of AI projects will fail. One of the key reasons for this high failure rate is that often the use case being applied has not been through a rigorous selection process and the following considerations are overlooked. For example, is the AI use case:
- Based on an operational challenge that has high OPEX and therefore has the opportunity to generate revenue or create savings?
- Has enough of the right data
- Has measurable benefits and ROI
- Does not jeopardize plant safety; and
- Can be scaled to similar processes and plants.
To help industrial companies avoid the pitfalls of selecting the wrong AI use case, Canvass AI has compiled the top 10 AI Use Cases for the Industrial Sector, to help industrials identify the right AI use case for success.
Data Retention for Long-Term IIoT Monitoring Using Time Series Databases
Traditional industries have evolved by implementing many Industrial IoT practices, where we can get data from mechanical devices and sensors. Such real-time data monitoring helps perform better analysis, predict equipment failure, and reduce operating costs. However, IIoT creates enormous volumes
What does it take to work with Generative AI Models
The world of AI is evolving rapidly, and if you're a machine learning engineer, you might already feel drawn towards generative AI. Generative models are more than just a trend—they represent a leap towards a more creative AI future. But
Predictive Maintenance in IIoT: Leveraging Time Series Data for Equipment Longevity
The industrial Internet of Things (IIoT) helps bind machines, sensors, and systems together. They form a network of intelligent devices working together to generate and share data. This approach to managing devices has revolutionized how industries manage, monitor, and maintain