Blog By: opentext
In today’s data-driven world, organizations are continuously seeking innovative ways to extract valuable insights from vast amounts of information. Gone are the days when a company could get by with waiting hours or even days for ETL processes to move and transform carefully chosen data into ideal structured forms to answer already known questions. To stay ahead of the competition, modern organizations need to analyze all the information available in real-time, use many types of analytics — including machine learning and AI — and keep costs and energy consumption from skyrocketing while they do it.
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