Smarter Asset Management with AI
In IBM MAS 9.1, AI isn’t an abstract promise. It’s specific, built-in, and ready to use, delivering attainable use cases that increase your ROI. This e-book serves as your practical guide to leveraging AI in MAS 9.1.
Pre-trained data models you can use right away
Most asset-intensive organizations want to move from reactive maintenance to predictive and optimized asset performance. However, lack of clean data, legacy systems, silos, and skill gaps can make the exercise seem like a tedious task. MAS 9.1 changes the equation. With embedded GenAI capabilities and trained models, you can leapfrog some of the biggest technical and operational roadblocks to proactive, predictive asset management. With MAS 9.1, you don’t need to be a power user, data scientist, or SQL expert, You just need to know what you’re trying to achieve, and MAS can help you get there.
Inside this eBook, you’ll find:
- Four practical AI use cases available in MAS 9.1
- Insider recommendations on which AI use cases to adopt first and why
- Strategies to ease organizational resistance, avoid risk, and build trust in AI
- Ways to measure and prove business value