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Enterprise seems to be entering a new era ruled by data. What was once the realm of science fiction, AI in business intelligence is evolving into everyday business as we know it. Companies can now use machines algorithms to identify trends and insights in vast reams of data and make faster decisions that potentially position them to be competitive in real-time. It’s not a simple process for companies to incorporate machine learning into their existing business intelligence systems, though Skymind CEO and past Emerj podcast guest Chris Nicholson advises that it doesn’t have to be daunting. “AI is just a box,” he says. “Math and code. If this, then that. That is the simplest way to describe it.” Organizing data collection and testing an algorithm with this data for accuracy over the first few months are is where many businesses get stuck. But as AI has gained momentum, prominent application providers have gone beyond creating traditional software to developing more holistic platforms and solutions that better automate business intelligence and analytics processes. Major vendors— including General Electric, SAP, and Siemens—offer such software suites and operating systems, but there are a growing number of emerging providers in the market as well. In this guide, we provide six examples of AI platform providers. Each example covers the following: Brief overview of the product or service Successful case studies Potential use cases in industry.(from https://emerj.com/ai-sector-overviews/ai-in-business-intelligence-applications/)