IBM

Identified Problem

Engineers are overwhelmed by large volumes of real-time data, making it a challenge to analyze and derive meaningful business insights. There is a need to more accurately and efficiently detect clients’ problems proactively so that actions can be taken to keep customers satisfied. The goal is to use AI to help engineers deal with the information efficiently.

AI Solution

AI is used to augment the engineers’ capabilities, automating manual work streams and developing risk classification models to categorize risks more accurately. The AI solutions also include predictive analytics to preempt potential problems.

Key Features

• AI-powered analysis of real-time data to derive meaningful business insights.
• Automation of manual work streams to reduce the burden on engineers.
• Risk classification models to categorize risks more accurately, helping teams know where to focus.
• Implementation of predictive analytics to anticipate potential problems.

Benefits of AI Solution

• Time savings: What used to take engineers days or weeks is now reduced to minutes.
• Improved accuracy: Risk classification models are significantly more accurate in categorizing risk.
• Proactive problem solving: Predictive analytics allow for preemptive identification and resolution of potential issues.
• Cost savings: The project has resulted in a tripling of cost savings.

Impact of AI Solution

• The project has demonstrated the importance of AI solutions being transparent in their use of data and data policies to gain user trust.
• The project highlights the importance of collaboration between AI experts and business professionals, who can bring different and valuable ideas.
• The project demonstrates that embedding AI into all aspects of operations is a key goal as advanced technologies are deployed.