Automate IT network support with watsonx and Juniper network Mist AI to streamline operations, improve uptime, and reduce manual workloads.
At IBM CIO’s Network Engineering have personally witnessed the significant influence of AI on IBM’s productivity path. Generative AI is revolutionising it functions, and it is evident that workers may use AI to enhance and supplement their work performance. It all have a rare chance to learn, adjust, and prosper in this new AI-driven society.
Plans for a new partnership centred on generative AI-based business network management solutions were revealed by IBM and Juniper network Mist AI, a pioneer in safe, AI-Native networking.
Building on IBM’s internal usage of Watsonx and Mist AI to combine AI capabilities with network infrastructure, the new solutions automate IT support and enhance network performance. In order to enhance the end-user experience and provide automated support at scale, Juniper and IBM also want to implement location-based insights and more comprehensive network diagnostics.
Currently, IBM and Juniper network Mist AI are collaborating on two internal projects:
IBM Guest Services is an ongoing project that combines IBM Watsonx Orchestrate with Juniper network Mist AI to automate IT network assistance and reduce the amount of manual support ticket involvement needed to address guest Wi-Fi network issues.
IBM AskNetwork is an internal tool being developed by IBM’s CIO office. It will connect with solutions like Juniper network Mist AI using IBM Watsonx Orchestrate to assist diagnose end-user problems and fix network infrastructure issues. It is anticipated that AskNetwork would assist businesses maximise network performance by distilling complicated technical data into easily assimilated, actionable insights.
IBM Guest Services
With their “IBM Guest Services” solution, IBM and Juniper network Mist AI are transforming the way users fix problems with guest WiFi networks. These problems used to require the user to file a support request and wait for a response from the IT Helpdesk, only to find out later that the problem was something straightforward that they could have resolved on their own. Users would frequently give up on the procedure and switch to their phones. In addition to being time-consuming, the procedure was expensive for the HelpDesk and frustrating for consumers.
IBM made proactive, AI-driven troubleshooting possible by combining Juniper network Mist AI with Watsonx Orchestrate, which goes well beyond a typical chatbot. By identifying whether difficulties are caused by device malfunctions, network disruptions, or user credentials, the solution can offer each user individualised help in real time. This is a revolutionary change in network assistance that gives consumers access to immediate, precise fixes while freeing up IT resources.
IBM was able to quickly develop a highly stylish Guest WiFi solution that is integrated into Watsonx by working with the Mist product family. This has allowed to implement years’ worth of technical knowledge into actionable items that end users can follow, reducing IBM’s support from helpdesk personnel to zero.
IBM utilised frontend for the intelligent chat and Watsonx for the interactivity. To enhance user interactions and streamline the reuse of external functions, developers integrated Watson Orchestrate skills and skill flows using a variety of openapi-defined external APIs.
Success to date
IBM Guest Services has been implemented on 44 IBM sites thus far. Since the inception, an estimated 13,000 distinct “Guest” invites have been automatically managed. “The new IBM Guest WiFi solution has materially improved connectivity for several hundreds of it team members. Prior to this, client laptops had limitations with the majority of guest WiFi. The CIO team took the initiative to identify the problem it were facing and then provide a seamless solution.
Future expansions
To further improve the user experience and provide state-of-the-art, automated help at scale, more features are on the horizon, such as location-based insights and more comprehensive network diagnostics. IBM expects to offer these products worldwide by 2025.
Artificial Intelligence use must be strategic moving forward. This entails giving IBM staff members and it partners the knowledge and tools they need to explain complicated AI ideas clearly, promoting improved cooperation and results. It also entails using AI into its technologies to boost audience interest and engagement.
It’s about more than efficiency
It is impossible to overstate the significance of Artificial Intelligence in network encounters. Creating a more interesting, user-friendly, and customised network experience is more important than efficiency alone. IBM can seize new possibilities, stimulate innovation, and maintain it competitive edge in the corporate world by adopting AI and cultivating a culture of ongoing learning.
