Cognizant Partners with IBM to Launch FinOps Center for Cloud Innovation
Cognizant has unveiled a new FinOps Center of Excellence designed in collaboration with the advanced FinOps software from IBM and the cloud and development platforms of Cognizant. The global innovation hub is the confluence of the knowhow and experience of Cognizant from experience in industry-specific sectors and the cutting-edge solutions from IBM to assist businesses in dealing with several significant challenges in this regard, including cost increases, preparation for AI, cloud governance, and architecture modernization.
Apart from the CoE, Cognizant also had announced a series of developments on its Cognizant Skygrad and Flowsource platforms. These new extensions are designed to work seamlessly in conjunction with IBM's Apptio, Turbonomic, watsonx.governance, and watsonx Code Assistant for Z. These solutions, built on Cognizant's strong engineering capabilities and leveraging the robust tools of IBM, will help organizations in transition to modern architectures, optimizing cloud management processes.
“Modern businesses face significant challenges in managing complexity, operational risks, and cost overhead due to the pervasive impact of technical debt and aging applications,” said Prasad Sankaran, EVP and Global Head, Software and Platform Engineering, Cognizant. “Cognizant and IBM are committed to offering clients the ability to effectively realize cloud and AI-native solutions at enterprise scale”.
Cognizant and IBM aim to help clients operate more efficiently and innovate quickly and responsibly by jointly focusing on the following areas:
Mainframe Modernization: Modernizing mainframe applications designed to increase agility and innovate faster through code modernization leveraging watsonx Code Assistant for Z, and supporting adoption of a hybrid cloud strategy to maximize the value of mainframe investments.
FinOps: Aiming to provide visibility and accountability over cloud costs, optimize usage, and implement real-time production adjustments to eliminate waste in multi-cloud environments.
AI Governance: Aiming to responsibly implement and drive AI governance across the enterprise, leveraging watsonx.governance to help ensure that AI systems are fair and transparent, with tools for AI quality and compliance capabilities integrated into development and operations processes.
“Optimizing cloud, AI and mainframe solutions are priorities for C-suite leaders the world over,” said Stephen Smith, General Manager, IBM Service Partner Ecosystem. “Exploiting automation and AI to reduce manual operations and accelerate productivity will help clients to realize more value from their hybrid cloud environments, reduce technology costs and the barriers to innovation”.
