Altair, Rolls-Royce Germany join forces to converge artificial intelligence, engineering

KUALA LUMPUR: US-based Altair, a global technology company providing solutions in data analytics, simulation, and high-performance computing, has collaborated with Rolls-Royce Germany to connect artificial intelligence (AI) and engineering to derive business value across Rolls-Royce’s engineering, testing, and design of aerospace engines.

In a statement today, Altair said the collaboration would address structural analysis and testing, bringing together vast amounts of historical product and in-service data from disparate sources to unlock new AI-driven engineering use cases to drive significant business value.

Altair founder and chief executive officer James R. Scapa said the demand for easy-to-use, low/no code, yet flexible AI and machine learning tools has never been greater.

“It is an honour to be the technology provider of choice to help Rolls-Royce Germany boost its business while further evolving our data analytics solutions.

“The Altair and Rolls-Royce Germany collaboration will address a wide variety of use cases, including applying data science to the vast amounts of engineering testing data, which can lead to a significantly reduced number of sensors needed,” he said.

Head of Innovation and R&T, Rolls-Royce Deutschland, Dr Peter Wehle said: “This collaboration would enable both companies to bridge the gap between engineering and data science, and empower our engineers to truly be engineers, focused on extracting the benefits of machine learning and AI from our data.

“Ultimately, this collaboration will help to democratise our data analytics, enabling our engineers to make better daily data-driven decisions, and transform our business and products.”

Initially, Rolls-Royce Germany will leverage Altair Knowledge Works™ — a collaborative end-to-end data analytics platform — to enable engineers to apply machine learning methods utilising simulation data, test data, manufacturing data, and operational data, it said. – Bernama