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Data Science Capabilities that Provide Execution Muscle for Data Strategies

Data has become the key to unlock many doors of insights and intelligence. Data Science, AI and ML capabilities form the overarching layer for data analysis. As the industry is advancing towards adoption of data-fueled products to maximize returns, AI and ML techniques help uncover the relationship between these data assets.

End-to-End Data Science Capabilities

  • Comprehensive portfolio of domain-centric, Artificial Intelligence (AI) and Machine Learning (ML) led solutions such as personalization engines, market mix modelling solutions, supply chain analytics, claims and underwriting solutions
  • Robust ecosystem of niche partners who specialize in InsureTech and new-age data governance and data lineage technologies
  • Suite of As-a-Service, digital-first proprietary solutions to drive real-time visibility, actionable insights and cost reduction
WNS End-To-End Data Science Capabilities
WNS Data-Led Offerings In Data Science Capabilities

Data-led Offerings Driven by Proprietary Accelerators

  • Advanced ML Ops framework for operationalizing models
  • Advanced ML clustering and classification frameworks, for, personalization and recommender systems
  • Generative adversarial networks: unsupervised ML, implemented by a system of two neural networks contesting with each other
  • Claims analytics
  • Pricing analytics
  • Underwriting analytics
  • Marketing analytics
 
 

WNS Analytics Advantage

  • Domain Expertise: WNS Analytics combines domain specific subject matter expertise with data, analytics, AI and technology

  • Proprietary AI-led assets: Ready to deploy cloud based proprietary assets powered by Generative AI with industry specific AI models enabled by our proprietary AI-labs

  • Flexible Engagement Models: Our clients enjoy the flexibility to choose the engagement model that suits their business requirements

  • Consulting & Advisory Services: We enable CXOs and businesses achieve their goals by using our proprietary frameworks and advisory services

  • Partnerships with Leading Technology Vendors: Partnership with technology vendors such as AWS, Azure, GCP, Snowflake, Adobe

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