The configurable artificial intelligence (AI) continues to mark the pace of digital transformation in organizations, but its implementation is not exempt from challenges: from data protection to the complexity of the deployments. In this context, Matrix42 has taken a step forward with the launch of configurable AI, a capacity that expands the functions of its Matrix42 Enterprise platform and that puts unpublished control on how and with which supplier integrate the IA in its service management processes.
A AI tailored to each organization
Unlike closed and unleashed models, configurable AI introduces a modular and customizable approach. Companies can choose to work with proprietary models, open source solutions, internal developments or large suppliers such as OpenAI and Azure OpenAi. The key, they explain from the company, is to grant freedom to define cases of use and ensure that the AI strategy fits the business objectives.
“The future of the management of services promoted by AI is not a unique solution for all. We develop matrix42 configurable ai to give customers freedom to adapt the services of AI to their specific needs, either in the cloud or local,” says Santeri Jussila, CPO of Matrix42. And he adds: “Customers have many data and ideas to create more value from them. We want to train them to do exactly that, in a safe and efficient way.”
Unlike the closed and unleashed models, configurable AI (configurable AI) introduces a modular and customizable approach
Overcome the barriers of the adoption of AI
Those responsible for TIs face recurring problems: regulatory compliance risks, lack of control over AI models and difficulties in climbing. Matrix42 seeks to solve them with an approach that combines flexibility and safety. Thanks to configurable ai, each company can decide where its data is stored, how the use of AI and what automated actions are enabled on a day -to -day life are monitored.
The adoption process has been simplified in three steps: select the AI model, define use cases with a non-code system and ensure data and interactions supervision. In this way, the implementation is accelerated and the risks associated with complex artificial intelligence projects are reduced.
IA applied to the efficiency of the service desk
According to sector data, 85 % of support tickets are still manually managed. With AI configurable, Matrix42 aims to reduce that load through automatic categorization of incidents, summaries and the proposal of immediate solutions. The result not only optimizes response times, but also releases agents to focus on problems with greater strategic value.
In addition, the platform allows you to train AI with specific data from each organization, which increases the accuracy of recommendations and reduces human errors. This capacity converts the Service Desk into a more proactive area, capable of anticipating recurrent incidents, detecting patterns and proposing continuous improvements in the quality of the service, thus reinforcing the experience of the end user.
