Boost your business productivity with predictive maintenance
Gain visibility across IT operations by going beyond reactive to predictive, furthermore to preventive IT.
Monitor, analyze, predict and remediate IT operations with the help of artificial intelligence and machine learning. Use dynamic visualizations and statistical models on the past incident to predict and resolve incidents resulting in an optimized key metrics like MTTR, MTBF, MTTF, MTTA
By 2022, 40% of all large enterprises will combine big data and machine learning functionality to support and partially replace monitoring, service desk and automation processes and tasks, up from 5% today. – Gartner
Acuvate’s IP portfolio comprising of BotCore, Optimum, and Azure Cost Optimization (ACO) leveraging AI technologies for intelligent automation are planted to practice efficiently. Our accelerators have demonstrated outcomes in reducing cost, increasing predictability, and service levels.
Right from the round the clock availability of a support agent for a quick resolution to RPA bots in ACO granting role-based access, upon approval, to different systems without any wait time our IP handles it all. Reducing the SLA from hours to a few minutes, if not seconds, immensely boosts productivity and uptimes. Predictive maintenance on application and infrastructure to optimize and ensure uptime is our forte.
Our IP in infra optimization in most cases had carved out potential cost reductions of 30+% and constantly keep monitoring the various applications, SharePoint sites, content on usage, and access and recommend actions like purge or consolidation.