Achieving Your Digital Transformation Goals with ML/AI

Every year IT teams set new goals to continue their digital transformation journey. There are two main objectives that digital transformation aims to help your organization reach, improved operational efficiency and enhanced customer experience.

In order to achieve those objectives, IT teams need to modernize their network and finds ways to incorporate new technologies that will help them improve productivity. As these new technologies are introduced, often times the network grows more complex and difficult to manage. This is where machine learning and artificial intelligence can come in to help your IT team simplify your network and improve overall performance to reach your objectives of operational efficiency and good customer experiences.

With ML/AI as part of your network management strategy, you can use historical data about past events in order to predict future ones with high accuracy, allowing you to proactively prevent network outages before they even happen, or at least take steps towards mitigating their effects.

With ML/AI, you can achieve a higher level of network performance, reliability, and availability. You’ll also be able to use your network to its fullest potential while freeing up valuable human resources for other tasks.

Enhancing the User Experience

No matter what industry you are in, user experience is critical. Whether you are trying to support staff, customers, students, fans, or more there is a variety of ways that ML/AI technology can help your organization improve their digital experience.

For more information, check out the Use Cases for Network AIOps and how ML/AI technology is already making an impact in different industries.

Learn More About ML/AI

For more information about ExtremeCloud IQ CoPilot, the networking AIOps solution offered by Extreme Networks built to help you improve IT operations, visit our product page.

Watch our webinar where we cover how CoPilot can help IT teams be everywhere at once to ensure optimal user experiences: On-Demand Webinar