Aera Cognitive WorkBench: Your Next Breakthrough?
Technology is changing the world today. On a personal level it changes the way we live, work and play. On an enterprise level, it changes the way we communicate and transact business. The rapid pace of technology innovation and exponentially growing volumes of data can be both exhilarating and also a little frightening. Artificial intelligence (AI) is insinuating itself into our personal and professional lives in many ways. As consumers we are subjected to personalized targeted marketing. We frequently have conversations with our mobile devices (think Siri and Alexa). And self-driving vehicles, while not perfected (yet) are no longer the stuff of science fiction.
And yet, even as we are surrounded by all this technology, even as modern enterprise applications open new doors to us in terms of data accessibility and visibility, most important business decisions are still made in much the same way as they have been for decades. We spend hours pulling reports to gather data and review exceptions. Next we spend days analyzing it to determine what options are available. Then we spend weeks sending emails and making calls to gain a more complete understanding. We run through different scenarios, trying to play the “what if” game and figure out the best decision. Only then do we take action and by that time, guess what? The data and the conditions have already changed. Windows of opportunity may already have closed.
Aera Technology thinks there is a better way. Its data crawlers (patented real-time crawling technology) collect, index and harmonize billions of data points from complex enterprise systems and external data sources. Its processing engine analyzes data continuously (even while you sleep) to detect business risk and opportunities. After utilizing decision trees and algorithms to recommend the best course of action, its new Cognitive Workbench engages the relevant users to collaborate, evaluate and approve a suggested course of action. Based on your response, it learns what works and what doesn’t. And in the future, it will evolve to take action autonomously right in transactional systems like Enterprise Resource Planning (ERP).
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