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Digital Twin of the Organisation
How to overcome Cloud Computing management challenges adopting a Generative AI-powered replica of IT Department.
Enhancing cloud management with Generative AI
The Digital Twin of Organisation (DTO) is one of Reply’s most advanced and comprehensive models designed to improve cloud management through the implementation of a multi-agent network Generative AI-based.
This innovative three-level model virtually replicates a company's organisational structure, ensuring that cloud management is efficient, responsive, and scalable.
The three levels of AI-powered agents
Managers/Interpreters
The top level of the DTO oversees overall operations and strategic direction by analysing complex questions, setting objectives, monitoring progress, and delegating tasks to specialised teams to ensure alignment with the company's goals.
Coordinators
Technology coordinators ensure tasks are executed efficiently by identifying and directing them to technology experts with the necessary skills and knowledge. For instance, if a task involves cost optimisation, it would be assigned to an agent expert in FinOps platforms.
Experts
Experts use specialised tools and technologies to gather and analyse information, providing detailed insights to higher levels for informed decision-making, ensuring smooth and efficient operation of the organisation’s technological infrastructure.
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The main benefits of the DTO model
One of the key advantages of the DTO model is accelerated onboarding: new employees receive real-time guidance and access to relevant contextual information, dramatically reducing the time needed to become fully operational.
Additionally, the DTO helps to reduce wait times between stakeholders by bridging information gaps and ensuring continuous support, thus allowing inter-team processes to flow smoothly and ensuring stakeholders receive timely responses.
Moreover, agents within the DTO handle repetitive tasks and offer specialised assistance, which frees up human teams to concentrate on more strategic and complex activities.
A growing set of use cases
Reply's DTO model is being implemented in companies across various industries, enhancing the overall productivity of cloud operations and ensuring that organisations' technological infrastructures operate efficiently and effectively. The agents are learning to work autonomously, with humans called in for oversight and intervention as needed.
Among the first successful use cases is a digital assistant capable of supporting the monitoring of systems from both application and infrastructure perspectives. This agent can analyse all relevant metrics in a few minutes and produce a root-cause analysis document in about 10 minutes, compared to the 1-2 days typically required by humans in the adopting organisation.
Other notable use cases include the Smart Enhancer, which improves application performance and quality through continuous optimisation, ensuring efficient operation and an enhanced user experience; and an agent specialised in analysing triage security alerts. This agent's goal is to automatically analyse the 50,000 reports per month generated from vulnerability assessments, providing risk-based categorisation and determining the optimal timing for patches.
Liquid Reply is the Reply Group company specialising in the definition of Hybrid and Multicloud strategies and architectures, and in the application of GenAI solutions for non-functional requirements. It supports the design, acceleration and management of the cloud journey, reducing the risks associated with cloud adoption and optimising operations, processes and costs. Liquid Reply focuses on hybrid and multi-cloud solution design, infrastructure automation, application modernisation and the development of microservice platforms and containerised solutions. It is at the forefront of securing cloud solutions and adopting observability to ensure secure, high-performance and cloud provider agnostic environments.
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