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      WNS Integrates Its Unified Analytics Platform with Amazon Bedrock to Build Scalable Industry-specific Generative Artificial Intelligence (AI) Solutions

      WNS, Amazon Bedrock: Unified AI

      Business Wire India - WNS (Holdings) Limited (NYSE: WNS), a leading provider of global digital-led Business Process Management (BPM) solutions, today announced WNSโ€™ Unified Analytics Platform (UAP) integration with Amazon Bedrock, a fully managed service that makes foundation models from leading AI companies available through a single application programming interface.

      WNS UAP is a cloud-based, modular platform that combines data management, domain analytics, and proprietary pre-built industry-specific AI / ML models to accelerate the generative AI journey for enterprises across industries. With this strategic integration, UAP will be able to access high performing AI foundational models through AWSโ€™s serverless architecture, build customized domain use cases, and deploy the same at scale in the client environment. One of UAPโ€™s core advantages is the ability to perform cognitive extraction from complex cross-industry documents including market reform contracts and medical records. Additionally, some of WNSโ€™ current Gen AI use cases, such as recovery opportunity identification, vehicle damage severity assessment, clinical summarization, sentiment analysis, and advanced information extraction, can now be executed using Amazon Bedrock LLMs.

      โ€œWNSโ€™ Gen AI pipeline is expanding across sectors as we continue to โ€œco-createโ€ with our clients and bolster our industry-specific solutions. The combination of our deep domain expertise and Gen AI capabilities is resonating well with our clients, helping WNS deliver solutions at the intersection of human intelligence and artificial intelligence. The collaboration with Amazon Bedrock is a significant step forward in helping facilitate the seamless integration of our Gen AI solutions into client environments,โ€ said Keshav R. Murugesh, Group CEO, WNS.

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