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AI Automation for BI Professionals

By Walter Paliska

What if you could tell that an essential robotic process in your manufacturing line was about to break down? What if your finance department could provide you with a list of customers most likely to default on their payments? What if your marketing department could rank the planned campaigns in their budget based on the likelihood of success? The answer to these, and countless other questions, are at the heart of predictive analytics. As the world of Business Intelligence (BI) continues to evolve, describing "what happened" through dashboards and reports is no longer sufficient. To provide genuine value, modern BI professionals must frequently deliver dashboards and reports that can help line-of-business users make better, smarter decisions faster. Of course, the challenge is that most BI systems do not have predictive analytics capabilities "out of the box," and purpose-built predictive systems are often too limiting or designed for use-cases that are…