iOPEX
logo menu
close
arrow_back
Back

Automation Through AI & ML - The Future of Operations

Enroll For A Free 4 Weeks

Emerging businesses are incorporating many new technologies that are enabling them with capabilities to respond quickly to meet customer expectations. While these technologies like containers, serverless environments, microservices architectures and orchestration tools deliver important functions, they also complicate the application environment and create new IT operational challenges. And since many of the infrastructure is legacy based, identifying the problems, and resolving them becomes and additional challenge.

Since legacy systems and tools cannot handle the volume load of operations data generated by modern environments, new approaches to IT operations and incident response are needed. By adopting AI and ML to automate operations, organizations can harness data and process it faster, smarter, and more efficiently as well as enhance security and enrich user experience.

Enabling automation using ML and AI technologies

It is impossible for people to effectively evaluate the large volumes of data that complex IT environments generate. AI/ML technologies determine relationships across complex IT environments and the exact problems. While improved efficiency is a key value derived by enabling automation using ML and AI technologies, it also solves problems enterprises face in terms of balancing the growing workloads without additional staff. Challenges faced by IT operations teams tasked with driving performance in complex environments have also seen reduction in the form of fewer tickets raised and faster remediation of issues after incorporating AI and ML in their IT operations.

Businesses which are modernizing must adopt AI/ML for help with surfacing intelligence from an ever increasing volume of IT operations data generated by complex, hybrid environments to ensure their software and services deliver premium performance that attract, serve and retain end users and customers.

Conclusion

It is clear that AI and ML are key enablers of automation in IT ops and can be used to accurately analyze increasingly complex IT operations data and enable automation across incident management functions like detection, investigation and remediation. By automating rote work, IT teams are enabled with more time to work on more important problems and projects. The best way to employ AI/ML applications is to purchase monitoring and incident response tools that employ AI and machine learning since most organizations do not have the wherewithal to develop their own AI/ML applications.

iOPEX enables you to stay competitive and serve your customers better by employing disciplined data aggregation combined with ML/AI training models to build an autonomous front & back office operation and analyse the wealth of data you collect and process. 

Enroll For A Free 4 Weeks

Recent Post
Product Thinking – The Key to Engaging Users
Apr 23 2021 , Nagarajan Chakaravarthy
read more
Enhancing User Experience through Accessibility Design
Apr 20 2021 , Nagarajan Chakaravarthy
read more
Building a result oriented digital marketing campaign in 10 steps
Apr 20 2021 , Nagarajan Chakaravarthy
read more
Latest news
card

What are the benefits of cognitive automation? | iOPEX

May 16 2021

card

iOPEX Technologies Ranks No:1 in HFS Ranking on TMT Industry

Apr 27 2021

space_bar

RELATED OFFERING

space_bar
Mlai Carousel Banner

ML/AI FOR AUTONOMOUS OPS

Building ML/AI models by tapping on to the wealth of data you collect and process, enables you to stay competitive and serve your customers better

Rpa Digital Workers Banner

HYPER AUTOMATION

Find out how RPA based hyper automation can help you step up your digital transformation journey with functional specific automation use cases and automation adoption options

Opexwise Cloud Banner

OPEXWISE

OPEXWise combines three vital drivers, automation, operational platforms, and cloud adoption for the enterprises to propel the digital transformation connecting the front, back office...