Using AI and ML to Help Keep the Hyper-distributed Workforce Productive

In the last few months, workers across the globe have moved from a traditional office setting into the home. This has created new challenges for businesses and placed new strains on the networks that support them. IT organizations are now working to adapt to the new reality of the hyper-distributed workforce and they're seeking solutions that can improve how they manage connectivity in this new environment. Artificial intelligence (AI) and machine learning (ML) technologies have brought several benefits to the traditional office, ranging from reduced help desk tickets to more rapid troubleshooting to successful support of service level agreements (SLAs). But how can we leverage these technologies to improve network manageability and enhance the end-user experience when data is more fragmented and employees are more spread out than ever before?