What will change for AI-driven businesses in 2024?
2024 will be the year of bandwidth “reckoning”. As organizations begin to adopt revolutionary applications such as AI-powered robotics, asset tracking, and digital interactions, traditional approaches to bandwidth will fail. The future belongs to routing technologies that are AI- and session-aware and cost-efficient. Any organization that does not consider smarter routing will be left behind in the digital race. It follows that as network demands continue to grow, organizations will seek smarter routing technologies.
In 2024, Intelligent Ops will no longer be a luxury - it will be an absolute necessity and a differentiating factor for businesses. As networks become more complex, teams without the assistance of AI will be overwhelmed and unable to keep up with demand. Intelligent Ops will be a game changer for organizations - transforming reactive processes into proactive strategies that ensure an unparalleled user experience. Teams will rely on Intelligent Ops to assist with network issues, ultimately transforming the process from reactive to proactive. This will have a positive impact on the end-user experience.
The complexity of the network environment is rapidly increasing, a trend that will continue through 2024 and beyond. This increasing complexity requires organizations to improve the efficiency and effectiveness of their operational strategies, with a particular focus on optimizing the end-user (employee) experience. As a result, organizations will have to adopt unified management solutions as these systems begin to become essential tools. They facilitate end-to-end environmental visibility, allowing potential issues to be quickly identified and resolved through a single interface. These integrated solutions not only improve operational efficiency, but also play a key role in enhancing the user experience, making them the essence of network management in 2024.
In 2024, operators will be challenged to achieve the optimal balance between the need to maintain local IO solutions on the one hand, and the need to integrate cloud-based IO practices on the other, while also controlling internal and external collaboration.
Initial automation efforts corresponding to Day 0 and Day 1 operations will remain primarily local, while Day 2 operations will see more exploration and adoption of cloud-based IO solutions. This balance will be determined by a variety of factors including, but not limited to, security considerations, regulatory compliance, and data governance.
Additionally, the market is interested in the benefits of intelligent operations in the cloud. Organizations will need to walk a delicate tightrope path, adopting a carefully crafted approach that reduces the chances of customers experiencing problems while increasing customer satisfaction, thus aligning with the overall goals of the organization.