Artificial Intelligence and Machine Learning

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

Why would an entrepreneur be interested in using Artificial Intelligence techniques?

Artificial Intelligence is a set of technologies that simulate rational behaviors such as:

Examples: COBOT, intelligent warehouses, camera security systems.

APPLICATION	EXAMPLE
Reporting unusual problems.	Broken or disconnected Sensors, machine operation not verifiable through preset thresholds.
Predictive analysis (predicting faults or malfunctions in advance).	Control of bottlenecks in conveyor belts to monitor the line.
Help with configuration and repair procedures.	Error identification and solution proposal based on the alarm sequence.
Reducing development time and energy.	Training systems that observe the behavior of an expert.
Optimization of production processes.	Reduce the energy consumption of the system through adjustments to all machines at the same time.
Extraction of information.	Prediction of the quality of the parts produced by a lathe.

There is already a data collection system and there is no one to monitor it;
Production downtime is expensive and the company wants to do predictive maintenance;
Less experienced workers need to be trained in technical procedures because the company has complex machinery to configure and has no training program;
The company wants to solve its problems objectively, it has the data to do so but doesn't know how to analyze them;
The company is highly energy-consuming or wants to increase productivity. It wants to improve marginality by optimizing the operation of the machinery as a whole.

WHY CHOOSE DIGITAL FACTORY 4.0?

TO INTEGRATE MACHINE LEARNING, PREDICTIVE ANALYSIS, AND PROCESS DRIFT CONTROL

You have ready-made models internally or in connection with the Cloud and other platforms;
You have a simultaneous analysis of the data as it is collected, for each machine and each plant;
You integrate machine learning and visualization from all data sources.