Leveraging GPT to help engineers and manufacturers adopt AI

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Artificial-Intelligence

Anthony McLoughlin and start-up Better Futures have set out to build a bridge to make it easier and cost-effective for engineers to identify how AI could improve what they do

For the past 15 years, engineer Anthony McLoughlin, founder of recent start-up Better Futures, has been using his combined skills in added value, data science and rocket science to help blue-chip manufacturers such as Airbus, Mercedes-Benz and Rolls-Royce to successfully introduce generative design, advanced analytics and AI into their manufacturing.

“The bottom line is that they’re struggling with AI, and very few have made real progress,” McLoughlin says. “This is not a technology issue. It’s an adoption issue and there’s a huge chasm between the promise of AI versus the reality of its adoption. “What was needed was a way of giving people their first quick win with AI, because going the conventional route of commissioning a consulting project to identify best use case scenarios is both very expensive and very slow,” McLoughlin says.

The biggest challenge for us is speed. We need to go fast and go big, as this field is moving at lightning speed“Using GPT, we’ve been able to build our EVA , which is the first dedicated AI assistant platform designed to help engineers and manufacturers adopt AI with a significant reduction in lead time and cost, with no need to build data lakes, hire and train data scientists or pay for expensive consultants,” McLoughlin says.

 

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