TL;DR:
- Forward Networks introduces AI Assist, a generative AI feature integrated into Forward Enterprise.
- AI Assist empowers NetOps, SecOps, and CloudOps professionals with natural language queries and explanations.
- It addresses challenges posed by vendor diversity and network complexity.
- AI Assist enhances collaboration and understanding within network teams.
- Forward Networks leverages user-generated searches and extensive data for continuous model improvement.
- The networking LLM streamlines operations and provides advanced insights into network behavior.
- AI Assist enables engineers to quickly assess network behavior and identify potential issues.
- It sets the foundation for upcoming AI enhancements in network management.
Main AI News:
Forward Networks, a leader in network management solutions, has unveiled its latest offering, AI Assist, a cutting-edge generative AI feature seamlessly integrated into its Forward Enterprise platform. This innovative addition is set to empower professionals in the fields of Network Operations (NetOps), Security Operations (SecOps), and Cloud Operations (CloudOps), providing them with invaluable insights and rapid solutions to tackle complex network challenges, all through the convenience of natural language prompts.
In today’s rapidly evolving digital landscape, the demand for improved access to hybrid, multi-cloud network data has never been more critical. Forward Networks recognizes the challenges posed by vendor diversity and network complexity and has stepped up to address them with AI Assist. This feature, available now, simplifies Network Query Engine (NQE) searches by allowing engineers of varying skill levels to perform sophisticated network queries effortlessly, without the need for extensive training. Additionally, AI Assist goes a step further by generating natural language explanations for these queries, fostering enhanced collaboration and knowledge sharing among team members.
The foundation of AI Assist lies in Forward Networks’ commitment to harnessing the collective power of user-generated searches and their extensive NQE library to train their Networking Large Language Model (LLM). Leveraging the vast trove of cloud and device data collected by Forward Enterprise, the integration of the networking LLM with Forward’s advanced data platform streamlines operations and provides even novice users with advanced insights into network behavior. This seamless access to network information through natural language commands empowers engineers to swiftly assess network performance and identify potential issues, such as non-compliance or troubleshooting needs. The model’s continuous refinement is driven by operator engagement, setting the stage for forthcoming AI enhancements.
Nikhil Handigol, Co-Founder of Forward Networks, highlights the significance of this development: “By combining the power of our network digital twin with AI, we make it even easier for engineering and security teams to extract critical insights from their network. We are developing the world’s leading networking large language model, laying the groundwork for future features that proactively assist engineers, enhance the efficiency and safety of changes, and aid in determining optimal network configurations. Since founding the company just over ten years ago, our passion has continued to grow and drive our commitment to modernize networks. Harnessing the powerful capabilities of AI is integral to achieving our vision.”
Forward Networks’ mission is to ensure the security, agility, and predictability of the world’s most complex and mission-critical networks. The platform excels in gathering configuration and L2-L7 state data from network devices and public cloud platforms, creating a mathematical model of the network, and computing all possible traffic paths. With support for devices from major networking vendors and cloud operators, including AWS, Microsoft Azure, and Google Cloud Platform, Forward Enterprise is the preferred solution for large enterprises managing multi-vendor, hybrid-cloud networks.
Mark Leary, Research Director for Network Observability and Automation at IDC, underscores the importance of AI in network infrastructure: “In this hyper-connected digital business environment, networks and networking staff are under tremendous pressure to heighten service integrity and capabilities on a continual basis. IDC research indicates that those organizations that leverage the power of AI across their network infrastructure are driving greater gains in operational efficiency, digital experience, and key financial measurements. Forward Networks’ purpose-built networking LLM, coupled with their comprehensive digital twin platform, represents a promising advancement in bolstering network resiliency and responsiveness.”
Conclusion:
Forward Networks’ AI Assist marks a significant leap forward in network management, offering professionals a powerful tool for tackling complex challenges with ease. This development highlights the growing role of AI in enhancing operational efficiency and ensuring network resiliency in today’s hyper-connected business environment. It positions Forward Networks as a leader in the industry, driving greater gains in network infrastructure and bolstering market competitiveness.
