MANAGEENGINE IS NOT ADDING A PREMIUM OR MARKUP FOR INTEGRATING AI AND ML CAPABILITIES INTO ITS PRODUCTS .
DISRUPTIVE TECH
As enterprises have become hybrid , just supporting monitoring and management of IT operations has become insufficient . “ You need full blown observability to look at all sources from where you can gain insight . So , we are also evolving in the same way ,” says Rajesh Ganesan , President ManageEngine . “ You start with service delivery , followed by basic automation of your workflows , followed by managing endpoints , and then full blown observability ,” he adds .
MANAGEENGINE IS NOT ADDING A PREMIUM OR MARKUP FOR INTEGRATING AI AND ML CAPABILITIES INTO ITS PRODUCTS .
ManageEngine has now progressed into delivering services that can manage multiple threat sources , anomaly detection , user entity behaviour analytics . And that is how basic monitoring management is evolving into observability .
Today ManageEngine plays in multiple domains even within traditional IT . One of the domains is service management where ManageEngine competes in a crowded market place . In the observability market space , ManageEngine was a strong player of monitoring management on-premises and has recently extended this focus across hybrid environments and therefore supports observability capabilities today .
But Ganesan points out that where ManageEngine has a good lead is in Unified Endpoint Management and Security . “ That is a domain where you do not find a lot of these players having a good game .”
ManageEngine supports Windows , Mac and Linux operating environment equally well . And is now extending this capability to any kind of browser and any kind of endpoint .
With the current availability of extended capabilities of AI through GenAI , ManageEngine is integrating these capabilities into its Unified Endpoint Management and Security to build the next generation of intelligent services . Another area , where ManageEngine is leveraging AI is in User Entity Behaviour Analytics .
“ Endpoint management and security have become very critical . And that is our strong point today . That is also in most cases our entry point into enterprises and that is how I would like to see it ,” says Ganesan . about their pain points and their expectations from its products and solutions to deliver what they need .
“ We believe the best AI is where the customers do not realize it is happening through AI . Their problem is solved and that is how we look at applying AI ,” says Ganesan .
To provide enterprise services around detecting anomalies , observability , User Entity Behaviour Analytics , ManageEngine ’ s products will gather data and build intelligence through machine learning about a specific IT infrastructure and specific customer behaviour to build the required patterns and predictions . So , while ManageEngine is building these capabilities in its solutions by investing in AI and ML , to meet customer pain points , its market positioning is not being influenced by the integration of AI .
“ Our positioning will not primarily be driven based on AI . We will still talk about UEBA , still talk about SIEM , and observability . But underneath those , it will be AI powered . That would be our stance ,” explains Ganesan .
Similar to most competitive and disruptive OEMs and IT vendors across the IT industry , ManageEngine is not adding a premium or markup for integrating AI and ML capabilities into its products .
While enterprises are asking for AI enabled products and services , ManageEngine is building its own AI framework and its own AI stack . While there are still gaps to address , Ganesan feels , enterprises have just begun the usage of AI embedded products .
Benefits from AI use cases
Ramprakash Ramamoorthy , Director of AI Research , ManageEngine
Assessing the AI hype
AI is getting a lot of hype and attention today but for IT vendors like ManageEngine , this is not necessarily the same language that its enterprise customers are using . Enterprise customers are talking to ManageEngine
Enterprise customers have become much more serious about the usage of AI today and are expecting valid predictions built into generated insights . Support tickets are being raised by customers on how to improve the reliability of predictions offered by ManageEngine products .
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