This requires looking at your data, drawing up a landscape of all the systems you have, and figuring out what insights you want to come from that data. Use this strategy to inform a six to 18-month plan.Create a strategy that identifies specific problems you want to solve and decide.Make sure you have a culture that values data-driven decision making.He suggests a basic four-step process for implementation. вЂњSomething I see happen quite often is companies say, вЂWe have a lot of data, letвЂ™s go hire some people.вЂ™ I think thatвЂ™s a recipe for disaster because you donвЂ™t have any direction,вЂќ says Venkatasubramanian. When it comes to creating and rolling out a data strategy, the worst thing you could do is act quickly. So what does it take to get predictive AI running in an engineering and construction context? The right start Oracle Construction and Engineering earlier this year launched Oracle Construction Intelligence Cloud Service (CIC) a predictive AI offering that is part of the Oracle Smart Construction Platform. вЂњThe simplest way to think about it is youвЂ™re using the data that you have to produce insights you donвЂ™t have,вЂќ says Karthik Venkatasubramanian, OracleвЂ™s Global Vice President, Data Strategy and Development. It can even improve projects before they start, assessing schedules and budgets against historical data to spot potential problem areas and improve accuracy. When fed through artificial intelligence (AI) and machine learning, the data can yield dynamic вЂleadingвЂ™ indicators that can tell you whether вЂ“ and why вЂ“ a project is likely to suffer delays, risks, or cost overruns. However, that same data can have another, less obvious use: improving project outcomes by offering insights about what is likely to happen in the future. Such tools can show why the project is behind schedule or over budget вЂ“ providing вЂlaggingвЂ™ (backward-looking) indicators to help you fix problems. However, this data often goes unused or just gets presented on an analytics dashboard that provides an overview of a project. Modern construction projects generate vast amounts of data that can be used to assess performance. A breakdown of how predictive AI functions in engineering and construction firms, from implementation to the insights you can expect it to surface.

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