Technologies like cloud computing, big data, and machine learning enable easy access to powerful tools

Data analytics and decision-making are becoming crucial for industrial companies

Increased resource efficiency is a key goal

– Cloud computing, big data, and machine learning tools like Amazon Athena and SageMaker have made data analytics accessible to all.
– Industrial companies are recognizing the importance of data-driven decision-making in increasing resource efficiency.
– These technologies allow companies to analyze data from operations to identify areas where resources can be optimized.
– The ability to collect and analyze large amounts of data is crucial for industrial companies looking to drive efficiency and reduce waste.
– Modern technologies enable companies to make data-driven decisions across their entire portfolio, leading to improved resource allocation and increased profitability.

Author’s take:

The availability of cloud computing, big data, and machine learning tools has empowered industrial companies to make data-driven decisions and improve resource efficiency. By leveraging these technologies, companies are able to analyze large amounts of data and identify areas for optimization. This shift towards data analytics in the industrial sector is crucial for maximizing profitability and reducing waste.

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