If you look around, you will see the power of Artificial intelligence and Machine Learning manifested in everyday life.
The advantages of AI and ML are known to all. Hence the industries have seen a lot of companies trying to adopt AI & ML Technologies. Even with the right technology, companies are finding it hard to deliver what they intended to in the first place.
This happens because many companies continue to work with poorly planned pilot projects, which ultimately drives the customers away.
In order to overcome these challenges, companies need to apply AI in the form of predictive asset analytics. AI and ML provide real-time insights on machinery operations and expose new insights that go unnoticed by humans.
Effective adoption of AI and ML makes economic savings possible, makes digital transformation possible, and significantly reduce operational expenditure (Opex).
AI and ML is extensively used in the manufacturing sector in both process and batch automation.
Other than this, the sector is leveraging AI to use predictive maintenance to monitor the condition of equipment while keeping the asset and staff safe. The adoption of ML helps to create prescriptive maintenance to remediate potential equipment failure, which improves safety and reduces unplanned shutdowns.
Effective adoption and implementation of AI and ML can not only improve productivity and lower cost but also offer new insights for future operations.
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