How to increase business productivity with Artificial Intelligence

Artificial Intelligence and its role in writing text or creating images is often discussed. Yet those who have been working with AI for years know that its applications are manifold and touch on various business areas: from marketing to the human resources department, from management to corporate production.?

Indeed, Artificial Intelligence has enabled companies to take a significant step forward in digitalising production processes. Its applications offer increasingly reliable forecasts and estimates and constant process control.?

This begs the question: what benefits does using Artificial Intelligence generate in business productivity?

• It improves quality control: on the production line, AI identifies defects in a product through image processing algorithms. This allows process modification in real-time.?
• It enables proper stock management: machine learning can predict the number of supplies needed in a given period. Furthermore, by enhancing warehouse management systems (WMS) with AI algorithms, it is possible to obtain suggestions on stock levels and the degree of risk of running out of products.
• Improves predictive maintenance: in addition to supplies, machinery maintenance also benefits from the predictive capability of AI. The analysis of large amounts of data provides an estimate of possible failures. As a result, maintenance interventions can be predicted, thus reducing machine downtimes.???
• Enables more accurate design: AI greatly supports designers and engineers in creating and testing product designs. Time spent on data analysis, testing, and prototyping is reduced.

How can AI applications increase business productivity? The answer is in the full article on DeltalogiX.

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