Corporate leaders are racing to hire artificial intelligence talent, convinced that a few high-profile specialists can transform their businesses overnight. Instead, many are discovering that without ...

Post Doc Fellow: AI and Data Systems in Nuclear/Particle Physics, Stellenbosch University In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, ...

In the era of Industry 4.0, manufacturing is no longer defined solely by mechanical precision; it’s now driven by data, connectivity, and intelligence. Yet downtime remains one of the most persistent ...

Predictive-Maintenance-AI4I Building ML model which can detect machine failure with given information. In this case, CNC machine As Industry 4.0 continues to generate media attention, many companies ...

Doug Dilley, Parker Aerospace Group vice president of services and support operations (left), and Mark Mourani, Parker's vice president of global commercial aftermarket. Credit: Parker Aerospace Doug ...

The world’s five largest companies lose $1.4 trillion annually to unplanned downtime, representing around 11% of total revenue. Every unplanned machinery stoppage translates into lost production, ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Qlik announced the rapid adoption of Qlik Predict, a no-code predictive analytics platform designed for business users. The solution, announced Oct. 1, aims to transform how organizations leverage ...

Fabrikam, Inc. creates innovative IoT solutions for the oil and gas manufacturing industry. It is beginning work on a new, predictive maintenance solution that targets rod pumps (the iconic pivoting ...

The era of reactive “break‑and‑fix” maintenance in heavy industry is giving way to smart, data‑driven strategies. Across automotive assembly lines and steel plants, unscheduled stoppages are brutally ...

Abstract: Predictive maintenance, utilising anomalous sound classification, demonstrates a strong potential to identify mechanical faults in industrial machinery. This research proposes a machine ...