Forward introduces AI Assist to help engineers gain greater insights and reach faster resolutions to their most challenging network issues using natural language
Forward Networks has officially launched AI Assist, a groundbreaking generative Artificial Intelligence (AI) feature integrated into its flagship platform, Forward Enterprise. This cutting-edge addition aims to empower NetOps, SecOps, and CloudOps professionals, enabling them to gain comprehensive insights and expedite solutions for their most demanding network challenges through natural language prompts. The announcement coincides with the company’s unveiling of its long-term AI strategy.
Read More :Â Deloitte and UiPath Expand Strategic Alliance With New SAP Delivery Framework
Recognizing the persistent need for enhanced access to hybrid, multi-cloud network data among engineers, Forward Networks addresses the hurdles posed by vendor diversity and network complexity. AI Assist, available today, facilitates Network Query Engine (NQE) searches using natural language, thus allowing team engineers of varying skill levels to conduct sophisticated network queries with minimal learning curve. Moreover, AI Assist generates natural language explanations for existing queries, fostering improved collaboration and understanding within the team.
Forward Networks is harnessing the collective power of user-generated searches and its extensive NQE library to train its networking large language model (LLM). Because Forward Enterprise collects an unparalleled breadth of cloud and device data, 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. Leveraging the ease of natural language, AI Assist empowers engineers to quickly assess network behavior and identify potential issues (e.g., non-compliance, troubleshooting). The model’s continuous improvement is driven by operator utilization, establishing a solid foundation for upcoming AI features.
“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,” said Nikhil Handigol, Co-Founder, Forward Networks. “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.”
CIO INFLUENCE News:Â Sevilla FC Transforms the Player Recruitment Process with the Power of IBM watsonx Generative AI
Forward Networks ensures that the world’s most complex and mission-critical networks are secure, agile, and predictable. The platform gathers configuration and L2-L7 state data from network devices and public cloud platforms, creates a mathematical model of the network, and computes all possible traffic paths. Supporting devices from major networking vendors and cloud operators, including AWS, Microsoft Azure, and Google Cloud Platform, Forward Enterprise stands out as the go-to solution for large enterprises managing multi-vendor, hybrid-cloud networks.
“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,” said IDC’s Mark Leary, Research Director – Network Observability and Automation. “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.”
Read More:Â Top and Bottom Software Companies Perceived for Data Security Ranked for 2024
[To share your insights with us as part of editorial or sponsored content, please write to sghosh@martechseries.com]
