Zero Incident Framework Receives BIG Innovation Award

Enterprise-level AI for IT management comes with a lot of concerns. AIOps has advanced quite far in the management and supply of enterprise-wide IT services. GAVS has designed an AIOps system called Zero incident Framework (ZIF), and it has been granted the BIG Innovation award for its approach to AI-driven IT operations. Through a predictive methodology, the AI system provides Discover, Analyze, Monitor, Automate, and Predict modules. ZIF is today one of the leading platforms for AIOps in the industry. The revolutionary use of artificial intelligence to train the system to process threats is unique and deserves recognition for its success.

The Forefront of AIOps

With the rapid adoption of new technologies such as cloud storage and computing and IoT implementation, digital transformation has led to a need for better control and optimization of IT resources. AIOps is the enterprise solution for businesses that want to have an efficient system that can learn how to deploy their IT resources best to get the most effectiveness from them. GAVS’ ZIF is instrumental in helping businesses deal with the increased demand for efficient IT in enterprise settings. Through its systems, ZIF can determine what needs to be done to make for a more secure platform and performs those tasks automatically.

Minimal Human Interference Needed

One of the most impressive things about AIOps systems is that it requires little input from a human operator. ZIF aims to predict and remedy problems without needing DevOps personnel on hand to aid it. Proactive remediation is the core of ZIF’s approach since the company believes that stopping incidents before they occur is the best way to deal with enterprise security. Prevention is, after all, better than cure. As companies start undergoing a digital transformation, AIOps becomes crucial to the success of their systems. ZIF stands head and shoulders above the competition as a viable solution for enterprises that are entering their own digital transformation stages.