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A core principle of AIOps is the simplification of operational processes, allowing IT teams to focus on critical tasks. In line with this ideal, the consolidation of previously isolated AIOps tools and their integration into an open AIOps platform proved to be:
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1. Improve real-time visibility and visibility. Integrating multiple AIOs and data sources into a single platform increases IT visibility, enabling technical teams to discover issues, optimize performance and reduce costs.
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For example, a financial services company based in the United States3 with a large mainframe footprint could not gain complete visibility into its IT operations because isolated AIOps applications were scattered across the IT estate. With limited visibility, the organization was unable to process data in real time, making it difficult to manage systems and resolve issues without disrupting operations. Manual processes also exposed the company to additional regulatory risks.
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After consolidating data from multiple applications onto an integrated AIOps platform, engineers gained visibility into data across the organization’s IT environment. The IT team used this improved information to increase the level of mainframe automation to more than 99%, improving their daily batch processing while increasing compliance with regulatory and compliance obligations.
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2. Improve efficiency. Incident response and resolution in IT operations can be slow and ineffective. Open AIOps integration platforms use autonomous responses to quickly solve these problems without human intervention and with little or no impact.
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Let’s take the example of a European insurance multinational3 We recently helped this company that had an IT system that consisted of over 10,000 devices. The company faced more than 200,000 incidents each year, primarily because engineers did not have easy access to data or centralized visibility.
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After migrating its IT estate to an integrated AIOps platform, the company was able to access data from multiple sources and leverage AI-based recommendations. In 12 months, incidents were reduced by 75%, including a 50% reduction. in incidents P1. At the same time, compliance increased from 85% to 97%.
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3. Speed up decision-making. When making business decisions, access to real-time data, or as close to it as possible, leads to better results. Integrated AIOps helps remove barriers that can prevent real-time data delivery, allowing engineers to make informed decisions faster.
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For example, a multinational advertising company in the United Kingdom3 relied on SMEs to manually collect and consolidate operational data. Not only were results slow, they were often error-prone, lacked a holistic view, and lacked governance.
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After a detailed operations review, we worked with the company to implement an integrated AIOps platform to automate and transform its IT operating model. Since the launch of the platform, the organization has increased the automation coverage of its IT assets to more than 92%. Incidents and breakdowns were reduced by 33%, or more than 95%.
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Practical applications of integrated AIOps
A core principle of AIOps is the simplification of operational processes, allowing IT teams to focus on critical tasks. In line with this ideal, the consolidation of previously isolated AIOps tools and their integration into an open AIOps platform proved to be:
1. Improve real-time visibility and visibility. Integrating multiple AIOs and data sources into a single platform increases IT visibility, enabling technical teams to detect issues, optimize performance and reduce costs.
For example, a financial services company based in the United States3 with a large mainframe footprint could not gain complete visibility into its IT operations because isolated AIOps applications were scattered across the IT estate. With limited visibility, the organization was unable to process data in real time, making it difficult to manage systems and resolve issues without disrupting operations. Manual processes also exposed the company to additional regulatory risks.
After consolidating data from multiple applications onto an integrated AIOps platform, engineers gained visibility into data across the organization’s IT environment. The IT team used this improved information to increase the level of mainframe automation to more than 99%, improving their daily batch processing while increasing compliance with regulatory and compliance obligations.
2. Improve efficiency. Incident response and resolution in IT operations can be slow and ineffective. Open AIOps integration platforms use autonomous responses to quickly solve these problems without human intervention and with little or no impact.
Let’s take the example of a European insurance multinational3 We recently helped this company that had an IT system that consisted of over 10,000 devices. The company faced more than 200,000 incidents each year, primarily because engineers did not have easy access to data or centralized visibility.
After migrating its IT estate to an integrated AIOps platform, the company was able to access data from multiple sources and leverage AI-based recommendations. In 12 months, incidents were reduced by 75%, including a 50% reduction.in incidents P1. At the same time, compliance increased from 85% to 97%.
3. Speed up decision-making. When making business decisions, access to real-time data, or as close to it as possible, leads to better results. Integrated AIOps helps remove barriers that can prevent real-time data delivery, allowing engineers to make informed decisions faster.
For example, a multinational advertising company in the United Kingdom3 relied on SMEs to manually collect and consolidate operational data. Not only were results slow, they were often error-prone, lacked global vision, and lacked governance.
After a detailed operations review, we worked with the company to implement an integrated AIOps platform to automate and transform its IT operating model. Since the launch of the platform, the organization has increased the automation coverage of its IT assets to more than 92%. Incidents and breakdowns were reduced by 33%, or more than 95%.