Infosys AI for Infrastructure
Overview
Businesses today are grappling with issues such as platform downtime, reactive and manual workflows, and escalating IT operations costs in their build and engineering infrastructure. These factors are impeding enterprises from achieving scale and innovation in their operations.
Infosys AI for Infrastructure is a comprehensive suite of robust technology platforms, versatile frameworks, and ready-to-use accelerators driven by artificial intelligence (AI). It helps achieve the highest levels of service efficiency, hybrid platform resiliency, and superlative business user experience. Our AI-driven solutions are crafted to include automation-assisted, AI-augmented, and AI-first capabilities across all stages of platform architecture and build, engineering, and operations for hybrid environments.
With this solution, enterprises can:
- Unlock the potential of generative AI (GenAI) to deliver resiliency at optimal costs
- Provide a superior customer experience
- Drive business agility
- Enable businesses to create enhanced value
Empowering business value with AI-powered infrastructure for end-to-end technology lifecycle management
Talk to our expertsInfosys AI for Infrastructure has the following standout features
- Robust technology platforms Leverage Infosys Polycloud Platform for hybrid cloud management and enterprise automation, Applied AI Platform with full stack AI-as-a-service to enable AI democratization, and Service Now ESM Café to maximize native AI and GenAI capabilities
- Versatile AI Frameworks Jumpstart GenAI solution implementation with proven GenAI platform open-source frameworks and loosely coupled services for data ingestion, model inference, and model training.
- Ready-to-use accelerators Utilize the comprehensive repository of reuseable use case artifacts and AI plug-and-play assets for the entire value chain of architecture and platform build, platform engineering, and platform operations, as well as the curated GenAI use case repository for hybrid cloud platform management.
Driving business value with AI-powered infrastructure for end-to-end technology lifecycle management
Challenges & Solutions
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