The pressure on your IT to do more with less is constant and only intensifying. Increased speed in the delivery of new functionalities, as well as stability for your IT systems and newly released product features are essential moving forward.
Most business leaders today are looking to IT to help them transform their operations and guide them in leveraging the value that can be derived from the troves of data available. And IT leaders have been striving to deliver here by bringing more reliability, scalability, and customer centricity – all while simultaneously lowering total cost of ownership.
But how do you guarantee results here and satisfy and exceed the demands of your business?
AIOps (Artificial Intelligence for IT Operations): Combining data and automation
The answer could lie in AIOps (Artificial Intelligence for IT Operations). According to Gartner, “AIOps combines big data and machine learning to automate IT operations processes, including event correlation, anomaly detection and causality determination.” AIOps is not a single technology, but rather a combination of disparate technologies for data collection, processing, analysis, and visualisation coupled with automation tools and solutions.
The key to AI application – observability, orchestration, and automation
So, how do you adopt AIOps within your IT operations and glean actionable insights from data generated by various IT assets and systems users? To simplify your AIOps implementation approach, it’s essential to frame the application of AI across three key pillars – observability, orchestration, and automation. But how do you accomplish this and successfully approach and implement AIOps?
AIOps from ADMnext and CIAP: Taking your IT operations to the next level
Capgemini’s approach to AIOps can enable you to better predict outages, catch performance degradation, and improve root-cause analysis, along with comprehensively orchestrating your automation efforts into a meaningful line-up of activities with:
- Seamless human-in-the-loop (HITL) automation for IT Service Management (ITSM)
- Intuitive chatbots for smoother service request automation
- Heightened knowledge management in service orchestration
- Improved configuration management database (CMDB) capabilities.
Unlocking the potential of AIOps and enabling success at scale with ADMnext and CIAP
When applied correctly, AI-based operations have the potential to markedly improve customer satisfaction and act as enablers for driving top-line results with minimal impact to your bottom-line. With ADMnext and CIAP, we enable you to execute your AIOps vision rapidly and clearly with a dynamic strategy and roadmap to progressively transform your IT into more proactive and predictable operations. For example, Capgemini has delivered the following benefits to clients across industries:
- Significantly improved store operations with the implementation of a ChatOps architecture that extended to AIOps.
- More than 3,800 effort hours saved over a half year through an AIOps implementation with self-service, self-healing, and smart reporting capabilities
- MTTResolve reduced by 18% thanks to automated updating and syncing of ITSM tools
- Enhanced system availability and a 30% reduction in outages over a nine-month period.
Download the whitepaper on the right to learn more. And to begin you AIOps journey today, contact me here.
This whitepaper is authored by –
|Prasanna Velayudham, AIOps Practice Lead at Capgemini||
Sonal Chaturvedi, Vice President, Product Owner at Capgemini
|Clifton Menezes, ADMnext Offer Lead at Capgemini|