self-driving enterprise

Add Aera Technology’s Cognitive Decision Board to Your Team

To Help Your Team Continuously Learn and Improve

In its quest to enable the Self-Driving Enterprise, last fall Aera Technology introduced its Cognitive Workbench. Using billions of data points collected with its patented data crawlers (real-time crawling technology), Aera’s 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 Cognitive Workbench presents personalized, time-sensitive, and prescriptive recommendations to drive capital efficiency, productivity, growth and customer satisfaction.

Now, Aera further augments and digitizes decision making, tracking decisions made by all your team members, including those made autonomously by your newest virtual team member: its new Cognitive Decision Board. Working interactively through the Decision Board you gain better visibility into your decision making process, and understand the impact of each decision. By tracing steps taken and the reasons why they were taken, you are able to get quick insights about those decisions. Did you accept Aera’s recommendations and if not, why not? Through this monitoring, measuring and feedback, Aera continues to learn and therefore can make better recommendations and your entire team can make better decisions.

Click here to read the full report.

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Introducing Aera’s Cognitive Technology

Enabling The Self-Driving Enterprise

Cognitive capabilities are highly valued in human beings. They make people smart, and smart is good. According to the Oxford Dictionary, cognition is “the mental action or process of acquiring knowledge and understanding through thought, experience, and the senses.” Yet as automation becomes more and more prevalent, we expect more and more functions and processes to be performed without human assistance. Can technology really imitate human cognition? Why not? After all, we live in a world where self-driving cars, although not yet ubiquitous, are a reality. And in a world where terabytes of data are being replaced with zettabytes, is it even possible for a human to process data at the speed and granularity necessary for timely, data-driven decisions?

Enterprise applications have been used to streamline and automate transactional processes for several decades now, particularly where simple and straight forward rules can be applied. When inventory falls below safety stock, order more. But how do you know when to change safety stock? How do you balance inventory across your distribution network or work off excess inventory? How accurate is your forecast? Is it possible to automate the cognitive functions that understand (recognize patterns and learn from the past), predict the future, and not only make recommendations, but also take action? Aera Technology not only thinks it is possible, it is delivering on that promise today to enable the Self-Driving Enterprise.

Aera is quite a unique kind of company. Headquartered in Mountain View, California, it serves some of the world’s largest enterprises from its global offices located in San Francisco, Portland, Bucharest, Cluj-Napoca, Paris, Munich, London, and Pune. Using proprietary data crawling, industry models, machine learning and artificial intelligence, Aera’s goal is to revolutionize how people relate to data and how organizations function. It offers what it calls a “cognitive operating system.”

The Self-Driving Enterprise

Aera starts with the premise that if built-in intelligence can drive a car, then it should be able to drive a company. Like a self-driving car, a self-driving enterprise must connect all the different data points both inside (engine, accelerator, steering wheel, brakes) and outside (roadways and road conditions, other vehicles, pedestrians). It must do all this in real-time, because speed and direction changes must occur immediately as any of those conditions change. And it must be always on and always thinking. No snoozing at the wheel allowed. It also must be able to operate autonomously. With no driver, a self-driving car has to take action without being told what to do.

A self-driving enterprise will still have humans at the helm. Aera is not setting out to eliminate the decision-makers, but it is trying to make them smarter and more effective, able to use all the data available, not just the usual subset contained in an enterprise resource planning (ERP) solution.

If this has you curious to learn more, click here to read the full report.

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