GAVS Technologies
Ushering the Age of Proactive ITSM

Although today’s leading-edge technologies— cloud, mobility, analytics, and the like—are facilitating business operations, they are also straining IT infrastructures. According to a recently conducted survey, nearly 86 percent of organizations struggle with IT infrastructure that is inflexible, non-standardized, and overloaded. Only an ITSM provider that helps to monitor, predict, and optimize IT infrastructure can best save the companies. GAVS Technologies (GAVS) is a digital transformation company with a focus on AI, Predictive Analytics, and robotics-led Infrastructure Management services.

Being a full-service provider of digital IT, consulting, and enterprise management, GAVS leverages Artificial Intelligence for Operations (AIOps), predictive analytics, AI bots, monitoring and discovery tools for delivering the best of ITSM. GAVS' IP led solution Zero Incident Framework (ZIF), an AIOps based TechOps platform enables proactive detection and remediation of incidents helping organizations drive towards a Zero Incident Enterprise™. Their focus is to enable IT deliver high performing systems that support digital transformation within the enterprise.

In an interview with CIO Applications, Sumit Ganguli, CEO of GAVS Technologies, shares insights on how the company leverages their industry-grade AI-driven ITSM solution that improves user experience by 10X and reduces resource utilization by at least 40%.

What are some of the trends in the ITSM space?

Although the advent of cloud has addressed the problems of storage, cost, and downtime, there are companies in healthcare, financial, manufacturing, and many other sectors that require a significant amount of on-premise operations. Since there is a preponderance of technology with the cost going down and people wanting higher speed and storage, and a larger number of routers, there is a need for monitoring of the network to ensure service-level reliability. To this end, there are successful companies like Service Now, Cherwell, BMC Remedy, and many more. On the other side, there are many application monitoring tools such as Appnomics, AppDynamics, WhatsUp Gold, and SolarWinds. ITSM has become very successful in service management and ticketing.

Meanwhile, we are transcending from classical incidents, technology, and Mean-time-to-Repair (MTTR) to service level assurance. As CTOs demand service run time assurance, there have been more questions about AI, its components, and the co-relation existing between them.

This is why AIOps has been adopted for ITSM, and this is where we come into the picture leveraging AIOps through our IP led AIOps platform Zero Incident Framework TM(ZIF).

What are some of the pain points that your customers face, and how do you go about remediating them?

There are massive needs that revolve around noise suppression, alert reduction, and MTTR. Moreover, many companies do not have a single pane of command to see their IT infrastructure, and neither are they aided with AI to provide predictive analytics. To this end, we have tied up with IIT Madras, and have built algorithms based on Reinforcement learning, a more advanced and a recent strain of AI compared to the old supervised learning. With this, we can co-relate between technologies, incidents, and error messages which are given out by various monitoring tools. Through AI, our offering can sniff out the network topology and can make predictions as to which of the systems would go down.

How do you help your clients implement your solutions, and what are the value propositions that you offer?

One of the greatest advantages of using our services is that our clients do not need any pre-requisite installation as we use our ZIF platform to run the entire digital infrastructure. If companies don’t have any monitoring tools of their own, then we provide them with our in-house tools, which are used to establish the Configuration Management Database (CMDB) and basic monitoring incidents to do prediction. Moreover, having some 80 to 85 application interface links, we can connect with existing monitoring tools. Our solutions can sit on top of infrastructure and other ITSM monitoring tools and start ingesting the data to correlate events to network topologies and ensure pattern recognition. The solution can improve productivity by solving hundreds or thousands of error messages by resolving one master error.

Could you share a customer success story?

A bank approached us as they observed a 90 percent spike in CPU utilization, and they were unable to find out the cause. Our system was able to find that a rogue task on the spool of a printer was causing the issue. In another instance, we helped a large consumer product company where we helped them in improving some of their ITSM monitoring tools, which directly contributed to the up-time of their overall supply chain. Our AIOps technology enabled them to reduce their managed services cost by 30 percent.

What is the roadmap of your company? How do you plan to add value to the market outside ITSM space?

We are primarily focused on catering to the healthcare sector, where we are providing them ZIF for infrastructure management. In future, I see ZIF emerging as a separate entity in itself from the managed services that the company has; meanwhile, we would like to set ourselves among the top three solutions in the infrastructure AIOps platform arena in the world. Taking care of our general responsibilities, we are strongly involved in supporting a full-fledged sustainable village in India. In addition, we are working extensively with a lot of schools and raising funds for prosthetic limbs for the specially-abled through marathons. This defines the purpose and significance of the company that we are.