Core Insights - The partnership between Cognizant and Uniphore aims to develop industry-specific AI solutions utilizing small language models and AI agents, starting with Life Sciences and Banking and Capital Markets [1][4][6] Group 1: Partnership Overview - Cognizant and Uniphore will leverage Uniphore's Business AI Cloud to create and refine small language models, while Cognizant will lead the development and deployment of solutions [2][5] - The collaboration focuses on codifying institutional knowledge and operational context to align AI applications with regulatory and business requirements [2][6] Group 2: Target Industries and Applications - Initial solutions will target Life Sciences and Banking and Capital Markets, addressing specific workflows such as drug discovery and customer onboarding [4][6] - The solutions are designed to be repeatable and scalable, facilitating faster adoption across various clients and regions [4][6] Group 3: Strategic Goals - The partnership aims to deliver AI systems that are tailored to critical business workflows, enhancing accuracy, governance, and operational readiness [3][5] - Cognizant and Uniphore plan to extend their approach to additional industries over time, emphasizing the importance of accuracy, privacy, and governance in AI applications [6]

Core Insights - KPMG has formed a strategic partnership with Uniphore to implement AI agents utilizing industry-specific small language models (SLMs) in regulated sectors such as banking, insurance, energy, and healthcare [1][4] - The collaboration aims to enhance KPMG's global workforce with AI-enabled delivery models, integrating AI into core business processes to achieve operational value [3][4] Group 1: Partnership and Technology - The platform developed under this partnership is built on a sovereign, composable, and secure architecture, designed to integrate with KPMG's existing enterprise systems while meeting governance and compliance requirements [2] - KPMG plans to utilize Uniphore's Business AI Cloud to encode institutional knowledge, regulatory frameworks, and process playbooks into industry-specific SLMs [4] Group 2: AI Deployment and Applications - The initiative aims to deploy governed AI agents across various functions, including procurement, workforce optimization, finance, claims, and customer experience [5] - An SLM factory model is central to the collaboration, converting knowledge work traditionally performed by humans into scalable, reusable AI systems [5] - KPMG is developing an AI-enabled procurement and contracting capability that classifies high-value contracts, compares terms, extracts obligations, identifies risks, and routes exceptions for human review [6]