Not so long ago, utility companies would check a customer’s meter once a month—12 times a year. Today, data can feed in from smart meters every 15 minutes, totaling over 35,000 readings per meter per year.
Every day, IoT devices and other smart technologies generate terabytes of data that can help utilities operate more efficiently and reliably … and sometimes the sheer volume of that data can create logjams that lead to inefficiencies.
An intersection of artificial intelligence and data science, machine learning has propelled digital advertising into a new era, in which enhanced automation and detailed data can be utilised to elevate advertising campaigns. With the deprecation Read more…
A new survey looks at how organizations find business value from machine learning (ML), how they plan to invest in the near term, and the challenges they expect to face in achieving their ambitious goals Read more…
Introduction Feature Engineering is the most important step in the Machine Learning life cycle. Feature Engineering is the process of creating new features or modifying existing ones from the raw data to improve the performance Read more…
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