The hybrid workforce will continue for the foreseeable future, according to the Foundry 2022 Future of Work study. And the trend is affecting hiring and retention, with 62% of IT leaders saying their organizations are guaranteeing flexible work options to stay competitive in the marketplace.\nJust as important: The technology and systems these employees use must be reliable and secure. Poor connectivity or network downtime not only frustrates users but also eats into productivity.\nAnd yet both hybrid and on-site workers are experiencing a high volume of network interruptions, according to a Juniper Networks survey. For example:\n\n38% of hybrid workers said they suffer at least 10 interruptions per week\nIn-office employees cite at least five connectivity issues per week\n\nImagine knowing that at least once a day, your network connection will go down. On the flip side, 92% of respondents to the Juniper study said their productivity would increase by an average of 39% if they had uninterrupted network connectivity.\nThanks to artificial intelligence (AI) technologies, your business can now better deliver on employee expectations for seamless connectivity.\nProactively reduce network issues \n\u201cOne of the most important enhancements in the networking industry over the past handful of years has been the application of machine learning and artificial intelligence technologies to enhance the operational management, performance, and security of networks,\u201d writes Brandon Butler, Research Manager, Enterprise Networks at IDC, in his report titled \u201cThe Role of Session-based SD-WAN in an AI-driven Enterprise.\u201d\nAI network solutions help get ahead of issues before they become problems. For example, Juniper Mist AI\u2122 delivers end-to-end insights into user experiences such as any issues with latency, uptime, throughput, and capacity.\nThe solution\u2019s combination of AI, ML, and data science enables automated event correlation, root cause identification, anomaly detection, and more. These technologies optimize operations across wireless, wired, and SD-WAN networks.\nFor example, a global technology company sought to improve Wi-Fi connectivity for its 40 offices in 14 countries. The company\u2019s global head of networks said employees are \u201cheavy users of video communications,\u201d making up to 45,000 video calls per day globally.\nThe tech provider\u2019s previous system struggled with reliability and consistent connectivity, so they decided to deploy the Mist AI platform, including the Marvis Virtual Network Assistant (VNA), which proactively helps correct issues in real time to accelerate ticket resolution.\n\u201cVNA is very cool,\u201d said the global head of networks. \u201cIt gives our workers the information they need to troubleshoot their own problems and provides me insight into how everything is working at a macro level.\u201d\nThe company has also been able to proactively identify issues in real time.\n\u201cI saw on the Mist AI dashboard that the accounting group in London was having a coverage issue, so I proactively brought it up with that team,\u201d the network executive said. \u201cThey explained that they were indeed having a poor Wi-Fi experience, but they didn\u2019t want to complain to IT. After fixing the problem, we looked like real heroes for the proactive outreach and attentive service.\u201d\nThe bottom line\nEnterprises require a proactive, intelligent approach to meet employee expectations for network connectivity \u2014 no matter whether they\u2019re working remotely or in the office.\nMist AI provides near real-time identification and detection of issues, as well as proactive recommendations and self-healing capabilities. This results in fewer support tickets \u2014 and fewer complaints from employees.\nLearn more about how Mist AI helps you provide reliable network connectivity.