Outage drives customers to expensive call centers.
Mobile applications are critical to many businesses today. For credit card and banking companies, for example, mobile applications represent a significant channel of interaction where customer can review transactions, pay bills and resolve support issues.
When application services are not available, customers use more expensive call centers for support. With payment applications, an outage means lost transactions, revenues and increased customer churn.
Finding network anomalies faster with AI proven to be successful.
AI systems have been proven successful at detecting anomalies in transaction volume data. This time series process looks at expected data volumes based on historical patterns. Upper and lower boundaries are also predicted based on volume variation. This system is then used to compare real-time transaction value to expected volume.
This real-time system allows network administrators to be notified when transactions start to spike above or fall below these boundaries so they can take action before an outage in service.
Inovia Enterprise AI - enabling all industries to use the power of AI.
When we founded Inovia AI, we had one vision in mind – to help clients unleash the power of data. To reach our goal we created a flexible AI framework that allows us to build new products rapidly and create solutions that are tailored to our client’s challenges and opportunities.
The result is Inovia Enterprise AI Platform with AI Microservices or Pre-packed AI Solutions that enables all kinds of industries use the power of AI to solve business and social challenges.
Inovia Enterprise AI is outstanding platform for automatic machine learning that empowers data science teams to scale by dramatically increasing the speed to develop highly accurate predictive models.