AI in manufacturing is a hot topic around the industry, with multiple potential use cases, vendors, and methodologies.
The challenge for manufacturers is that the path from concept to deployment to ROI is very resource- and time-consuming. And in many cases, the ROI is never actually achieved.
In this session, we will explore the regular path from concept to ROI in manufacturing AI projects, and how new technologies can shorten it to days instead of months.
We will showcase a real-life case study involving early fault detection model deployment in one week that resulted in substantial savings and efficiencies.
Your virtual pass will give you access to the following and more:
Key topics that will be discussed:
- Why AI in manufacturing has failed to live up to its potential?
- How we can shift our perspective on AI to improve results
- How manufacturers can reduce the runway for, and ongoing maintenance of, AI deployment in production
- How to get better results, faster, and with higher accuracy, using just your existing data
- AI in manufacturing is complicated - but it doesn't need to be
Looking for more information?
Check out these whitepapers by
Vanti on AI in manufacturing:
- The Place of AI in Modern Manufacturing - READ NOW
- 5 Use Cases to optimise AI for Industrial Manufacturing - READ NOW
- Seagate Case Study For Anomaly Detection - READ NOW
These resources are provided in partnership with: 
Sponsored by:
