Three advancements — in generative AI, adaptive intelligence, and cognitive computing/NLP — are just around the corner. We illustrate their benefits and use cases using the construction industry as just one example.
What do chocolate mudcake recipes, industrialized construction (IC), Design for Manufacture and Assembly (DFMA) and artificial intelligence (AI) have in common? They hold the key to productization of construction.
Making decisions is a critical aspect of business and daily life. Whether it's a small personal decision or a major organizational decision, the process of decision making is a complex and multifaceted process that requires careful consideration of multiple factors....
The entire notion of a design and construct (D&C) contract is propagated on the idea of reducing the initial cost, but it often results in little regard paid to building quality and performance.
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Many industries rely on the accumulated knowledge and experience of both middle and upper management. However, this can lead to jobs being done in a certain way simply because, ‘they always have been’, which in turn can lead to repeated mistakes.
The benefits of offsite construction are well touted, but where’s the hard proof?
AI models can benefit as much from soft data such as personal anecdotes as much as hard data.
What will future design systems be capable of doing?
With the explosion of terms like Artificial Intelligence (AI) and Machine Learning (ML) in construction, AEC Magazine caught up with Senthil Kumar, CTO and head of AI at start-up Slate.ai to discuss how the technology can assist the complexity in the building industry
Jeff Bettencourt is the CEO of Slate Technologies, an AI platform that maximizes efficiency and costs for the construction industry.
Slate Generate helps teams productize design and automate take off and estimating to reduce costly mistakes and speed preconstruction and planning.