Following recent news of catastrophic outages in cloud systems, ServiceNow Inc. has rolled out a machine learning system that includes anomaly analysis algorithms that can predict and prevent service outages.
Cloud computing firm ServiceNow in May announced its Intelligent Automation Engine system. The company said the system applies artificial intelligence and machine learning technologies to some of the biggest challenges facing IT operations. Chief among these problems are major disruptions that can bring IT operations to a complete halt.
The company said its anomaly analysis algorithms can identify patterns and unusual events that are likely to lead to an outage. The system can learn about the normal range of behavior in an IT system, allowing it to identify deviations that can presage malfunctions.
The algorithms also can note the occurrence of events that occurred in the past that correlated with outage incidents. When these events are observed again, the system can initiate changes in processes that prevent a recurrence of the outage.
The arrival of the Intelligent Automation Engine system comes at a good time, with the global IT community recently experiencing a slew of outages in 2016 that affected everything from JetBlue Airways, to Office 365, to Google Cloud Platform.
More recently, Amazon Web Services (AWS) suffered a four-hour outage in February that caused problems at thousands of websites across the United States. Although the AWS debacle was chalked up to human error rather than a systems failure, the event illustrated the wide-ranging impact that such a cloud service outage can have.
The Intelligent Automation Engine also applies machine‑learning algorithms to each ServiceNow customer’s unique data set. These algorithms can study patterns to predict future outcomes in areas including risk assessment and categorizing work, according to the Santa Clara, California-based company.
The engine also includes ServiceNow Benchmarks that enables company customers to compare the efficiency of their service to comparable organizations. Furthermore, the Intelligent Automation Engine boasts a real-time Performance Analytics application that uses algorithms to help customers predict when they will reach their performance goals.
Together, the different features of The Intelligent Automation Engine are designed to use automation to free companies from performing tools, processes and work patterns that prevent organizations from focusing on transformation using AI technologies.
“Intelligent automation heralds a new era in workplace productivity,” said Dave Wright, chief strategy officer, ServiceNow, in a press-release quote. “With this game-changing innovation, we have embedded intelligence across our Platform. Trained with each customer’s own data, ServiceNow is enabling customers to achieve a quantum leap in the speed and economics of their business.”
Stephan Cunningham is vice president, product management at Veritone. Working in concert with core internal teams including industry-specific general managers and engineering as well as directly with clients and prospects, he leads the disciplines and business processes which govern the Veritone Platform.