Remove 2030 Remove Digital Transformation Remove Predictive Analytics Remove Risk
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Aiding Architecture & Engineering Firms with Data-Driven Learning

Smart Data Collective

Data analytics is incredibly valuable for helping people. More institutions are recognizing this, so the market for data analytics in education is projected to be worth over $57 billion by 2030. This dependency poses the risks of increased costs, time and effort, and project delays.

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Six EAM trends pushing the oil and gas industries forward

IBM Big Data Hub

through 2030. More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. As of 2022, the EAM market was valued at nearly $6 billion , with a compound annual growth rate of 16.9%

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How to choose the best AI platform

IBM Big Data Hub

trillion to the global economy in 2030, more than the current output of China and India combined.” Enhanced security Open source packages are frequently used by data scientists, application developers and data engineers, but they can pose a security risk to companies. PwC calculates that “AI could contribute up to USD 15.7