Cognizant Expands Partnership with Google Cloud to Scale Agentic AI
Cognizant has expanded its strategic partnership with Google Cloud to operationalize agentic AI across enterprises, announced in a press release. The collaboration moves from platform integration to enterprise-scale deployment, focusing on turning AI strategies into governed, production-ready systems.
As part of the initiative, Cognizant is implementing Google Workspace alongside Gemini Enterprise internally to improve productivity and delivery speed. The company plans to offer a new productivity suite that combines these tools to streamline workflows such as content creation and supplier communication.
Cognizant will establish a Gemini Enterprise Center of Excellence and use its Agent Development Lifecycle (ADLC) framework to integrate AI into design, implementation, and rollout processes. The company will also leverage tools like Cognizant Ignition and Cognizant Agent Foundry to accelerate AI deployment through pre-configured, no-code solutions for use cases including contact centers and order management.
The partnership aims to provide enterprises with scalable models for adopting agentic AI, supported by Cognizant’s global network of Gemini-trained specialists and its Google Experience Zones and Gen AI Studios.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Oct 17 OpenAI Adds Slides and Parallel Agents to ChatGPT Oct 16 Nextech3D.ai Adds Agentic AI to Map D Event Platform Oct 16 McGraw Hill Adds AI Study Tools to Connect Oct 16 RapidCanvas Raises $29 Million to Expand Enterprise AI Platform Oct 16 Goodweek Raises $12 Million for AI Management PlatformEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Google Launches Gemini Enterprise Workplace AI Platform
Tech Mahindra Expands Gemini Enterprise Training to 12,500 Associates
Cognizant Launches AI Services Unit for Emerging Enterprises
BNP Paribas and Google Cloud Sign Five Year AI Partnership
CaixaBank expands Google Cloud agreement through 2033
Daily AI Brief: the AI news that matters, in your inbox.