An Executive Guide for AI in Service Operations: Part 1 and Part 2
Discover the key steps and use cases service leaders need to take in adopting AI
Develop a data-informed service optimization strategy
In a world of continuous change and disruption, it’s important that service leaders take the necessary steps to optimize their service strategy. With the steady deployment of AI in service, it’s critical that service organizations understand the process of the AI adoption journey.
Harnessing the power of data through IoT integration and AI adoption is crucial to predictive maintenance. With the tools in place to effectively predict issues that can arise, service leaders are now prepared and able to address issues before they happen, ultimately decreasing downtime and increasing customer satisfaction.
In Part 1 of the Emerj Artificial Intelligence report discover:
The four phases of AI adoption in service
The strategy behind AI implementation
In Part 2 of the Emerj Artificial Intelligence report discover:
How service leaders can apply several use cases to their organization
The three most important lessons for service leaders
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