en.Wedoany.com Reported - On June 4, IBM and Google Cloud announced the launch of a new Google Cloud Practice, targeting enterprise AI production deployment and core system modernization. This practice combines IBM's consulting capabilities with Google Cloud's agent platform, security, and data capabilities to help enterprises advance AI agents from design to operational environments.
This new practice, led by IBM Consulting, focuses on embedding IBM's methodologies in industry consulting, hybrid cloud transformation, and AI delivery into Google Cloud's Gemini Enterprise Agent Platform and related governance tools. IBM consultants can design, build, deploy, and govern enterprise-grade AI agents directly on Google Cloud, leveraging pre-built assets, reusable agents, and industry workflows from IBM Consulting Advantage. For clients in banking, government, retail, telecommunications, energy, insurance, and life sciences, the challenge of AI adoption has shifted from proof-of-concept to production-grade implementation, including data access, system transformation, access control, security auditing, business process reengineering, and ongoing operations. This collaboration between IBM and Google Cloud aims to provide a more standardized delivery path to address these enterprise-level hurdles.
IBM stated that the new practice will mobilize thousands of IBM consultants and field engineers certified on Google Cloud to deploy AI solutions, modernize legacy environments, and manage complex hybrid technical architectures for clients.
Key areas of focus also include industry-specific AI agents, data infrastructure, cybersecurity operations, hybrid cloud modernization, and AI workflow enhancement. IBM will develop industry-specific agent portfolios around Gemini Enterprise, serving tasks such as risk identification, process automation, customer operations, compliance management, asset monitoring, and decision support. Google Cloud will provide the agent runtime environment, governance controls, enterprise-grade security features, and data capabilities like BigQuery. The two companies also plan to drive integration between Gemini and IBM products such as watsonx Orchestrate and watsonx.data, enabling enterprises to gain more composable capabilities in automated decision-making, agent collaboration, and data insights. For large enterprises that still maintain extensive on-premises systems, mainframe environments, and private cloud architectures, this combination offers a closer fit to real transformation needs than procuring models or cloud resources separately, as AI agents must connect to core systems, data pipelines, and business permissions to enter production environments.
This collaboration also reflects that competition in cloud services is extending from underlying computing power and model capabilities to a comprehensive service layer encompassing "consulting delivery + agent platform + industry solutions." Enterprise clients deploying AI agents typically need to simultaneously address technical, process, compliance, and organizational coordination issues, and a single tool is often insufficient to cover the entire migration lifecycle. IBM possesses extensive enterprise client relationships and experience in complex system transformation, while Google Cloud continues to expand in Gemini models, data platforms, and AI infrastructure. By bundling consulting delivery with cloud-based agent capabilities, the two companies can help shorten the cycle from pilot to production deployment for enterprises and may also channel more core system modernization projects into the Google Cloud ecosystem. Future market validation will focus on client adoption numbers, the effectiveness of reusable industry agents, hybrid cloud migration efficiency, and the stability of AI agents in real business processes.
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