Cognizant and Google Cloud Deepen Agentic AI Pact

- This partnership moves beyond platform integration to focus on enterprise-scale execution, utilizing Google's Gemini Enterprise models to create and deploy agentic AI solutions. A key part of this is Cognizant's internal adoption of Google Workspace with Gemini to enhance its own productivity and employee experience before offering similar solutions to clients. - Cognizant is establishing a dedicated Gemini Enterprise Center of Excellence and will use its "Agent Development Lifecycle" (ADLC) to integrate AI into every stage of development, from design to production rollout. This structured approach is intended to ensure consistent and scalable delivery of AI solutions. - A core offering will combine Gemini Enterprise with Google Workspace to transform manual tasks into AI-driven workflows, with cited use cases including collaborative content creation and automating supplier communications. - Cognizant will leverage its proprietary platforms, such as the Cognizant Agent Foundry, which provides no-code capabilities and pre-configured solutions for tasks like intelligent order management and AI-powered contact centers. Another tool, Cognizant Ignition, will be used to help clients quickly prototype AI solutions and optimize their data foundations. - Agentic AI in this industrial context refers to autonomous AI agents that can perceive their environment, reason, plan multi-step actions, and learn from outcomes, moving beyond simple alerts to actively resolving issues. For example, an agent could detect a machine anomaly, analyze its cause, order a replacement part, and schedule maintenance without human intervention. - The collaboration leverages Google Cloud's Vertex AI platform, which allows for the fine-tuning of Gemini models with proprietary data. In a proof of concept, Cognizant was able to create a custom AI agent in one week and fine-tune a model with thousands of records in just four hours. - The partnership also extends to the edge, with plans to utilize Google's Gemini Nano models on Honeywell edge devices for various industries. This is part of a broader strategy that includes Google Distributed Cloud (GDC) to bring Gemini models to on-premises environments, including air-gapped systems for high-security needs. - The collaboration is a response to a wider enterprise trend demanding AI systems that operate within governance requirements and can be repeatedly applied across departments, moving from trials to scalable operational models.