The late UN Secretary-General, Kofi Annan, said, “Our greatest challenge in this new century is to take an idea that seems abstract – sustainable development – and turn it into a reality for all of the world’s people.” One of the keys to meeting this challenge is digitalisation. Digital transformation is a journey of continuum towards the self-optimising plant, which capitalises on data to generate knowledge. Industrial AI provides companies with massive learning ability and can be a strategic business advantage, combining the power of analytics and AI machine learning, with crucial guardrails of domain expertise, to accelerate return on investments (ROI) from industrial data.
Willie K Chan, CTO, AspenTech, highlights the crux of the situation, “Domain expertise is the secret sauce that separates industrial AI from more generic AI approaches. Industrial AI will guide innovation and efficiency improvements in capital-intensive industries for years to come.” Industrial AI enables general engineers to leverage machine learning without being advanced data specialists or specialist engineers. AI algorithms only represent five per cent of the software source code with the remaining 95% derived from domain expertise.
DRIVING VALUE VIA DIGITAL TWINS
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Esta historia es de la edición Feb 2022 de The Machinist.
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