The Challenge

Adopting Artificial Intelligence allowa your organization to move towards greater automation of business processes when it is effectively combined with other technologies to solve problems end-to-end.

As you've seen, for example, the predictive service of assets relies on effective live data gathering via IoT sensors, machine learning to predict future asset performance using a model built on data sources like maintenance history, and advanced scheduling and optimization to plan the most effective maintenance schedules based on these predictions.

The Solution

The key to how IFS delivers improved processes lies in our Intelligent Process Automation, which is a combination of the following tools:

• Process discovery and representation through a business modeler used for a Digital Twin of the Organization (DTO)
• Data and knowledge management through the creation of connected knowledge representation to describe processes and their related entities and properties
• Process monitoring through Machine Learning, continually improving execution through reinforcement learning
• Automation through a workflow engine that can initiate actions within our software

"It's inevitable: selling products as services will become a major component of businesses over the next decade."

Aly Pinder, Product Director, Service Innovation & Connected Products, IDC.

Business applications have always been about process automation, but historically knowledge has been captured and implemented using human-crafted business rules and thresholds. This approach has shortcomings: the rules used are typically of limited complexity, do not change dynamically over time and purely encode knowledge as directed by humans, who might not be doing things efficiently or correctly. By incorporating machine learning, IFS can help organizations leverage historical data to detect patterns and rules that might not be apparent to people, while learning continues over time to produce the best decisions and enable organizations to adapt to changing business environments.

Look out for the next feature from the e-book "The Future of Service Management Technology" next week where we look at two major service challenges to overcome when it comes to the service workforce.