Enterprise management software harnesses the power of analytics and predictive modeling. The software tracks data and makes it accessible to data analysts. Using business intelligence capabilities and visual data assistants, even small businesses can begin to understand their workflows, supply chains and other processes. However, smart data and smart machines are in a position to do more.
Teams from Enterra Solutions are in the midst of transforming business intelligence and ERP systems into smart machines. Through the introduction of user-friendly artificial intelligence capabilities, businesses can rely on prompt insights and plain-language responses to data questions. Read on to find out how it all works.
Acting on Insights
Historical data is a substantially powerful tool that informs present-day tasks. For instance, data insights provide supply chain managers with the information they need to determine how many distribution trucks are needed over a long weekend, or how much stock is needed to fulfill 60 days worth of orders. A supply chain manager can access this information in a number of ways. They can run visual analysis reports. They can shoot the question over to the company's data analysts. They can look back and see what they did last year and repeat it. But each of these solutions has drawbacks. Visual analysis reports can take time to generate. Smaller companies do not often have data scientists on hand. And repeating what happened last year doesn't allow for numerous shifting variables that contributed to last year's success.
Efficiency Through Cognitive Platforms
While strategic planning demands data-generated insight, the process is streamlined using cognitive computing platforms. Aila is a cognitive computing platform that logically functions in a manner similar to the human mind only faster and with greater accuracy. The smart machine utilizes typical artificial intelligence traits in that the smart machine learns from smart data. Alia is essentially embedded in the system, taking in information that it can deliver when called upon. What makes it different from other business intelligence software platforms is its ability to deliver on-demand insights.
Aila rapidly delivers insights because after it gathers smart data into a smart machine, it uses advanced mathematics and human-like logic to reason and analyze the data. For instance, a supply chain manager can ask Alia a question about appropriate fleet size using plain English and they will receive an easy to understand answer.
Smart data and smart machines cannot generate insights by themselves. Engines must work together within the platform to generate meaningful responses. By combining a natural language engine with a cognitive reasoning engine, Enterra has created an enterprise cognitive system that can be used by any employee in any space regardless of their tech or data experience level.
No comments:
Post a Comment