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IBM and Google Cloud have launched a new consulting practice aimed at helping enterprises move artificial intelligence projects from pilots into production while modernizing legacy technology environments.
The companies said the initiative combines IBM's consulting and industry expertise with Google Cloud's Gemini AI platform, creating what they describe as a multi-billion-dollar business opportunity as organizations accelerate AI adoption.
The partnership reflects a growing shift in the enterprise AI market, where customers are increasingly seeking help integrating AI into core business operations rather than simply experimenting with standalone use cases.
Under the new practice, IBM will develop industry-specific AI agents optimized for Google's Gemini models, targeting sectors including banking, government, telecommunications, retail, insurance, energy, healthcare and life sciences.
The companies said the agents will be designed to automate business processes, improve decision-making and support more autonomous operations across enterprise environments.
The collaboration also expands IBM's ability to design, deploy and govern AI agents directly on Google Cloud infrastructure, combining IBM's pre-built industry assets and consulting methodologies with Google's AI platform, governance capabilities and security controls.
Mohamad Ali said enterprises are navigating one of the most complex modernization cycles in decades and increasingly need a clearer path to deploying AI at scale.
For Google Cloud, the partnership helps address growing enterprise demand for AI implementation expertise.
Kevin Ichhpurani said the collaboration expands the pool of Google Cloud AI specialists available to customers and is intended to help organizations move beyond proof-of-concept projects toward production-grade AI deployments.
The initiative will focus on several strategic areas, including AI and data modernization, industry-specific AI solutions, cybersecurity operations, hybrid cloud transformation, workflow automation and governance.
A key element of the partnership involves helping organizations connect enterprise data with Gemini models through common interfaces and integration frameworks designed to work across complex IT environments.
The companies also highlighted their growing focus on agentic AI, one of the fastest-growing segments of the enterprise AI market. IBM plans to combine Gemini capabilities with its watsonx portfolio, including watsonx Orchestrate and watsonx.data, to support workflow automation and enterprise decision-making.
The launch comes as major technology providers increasingly compete to become strategic partners for enterprise AI transformation projects. While many organizations have experimented with generative AI over the past two years, a growing number are now focused on integrating AI into core business processes, modernizing infrastructure and establishing governance frameworks capable of supporting production-scale deployments.
IBM and Google Cloud said they have already collaborated on large-scale modernization projects, including work with Airbus, where the companies helped separate and modernize more than 100 critical systems across regulated business operations.
The new practice underscores how the next phase of enterprise AI adoption is increasingly being driven by integration, governance and operational execution rather than access to AI models alone.
The companies said the initiative combines IBM's consulting and industry expertise with Google Cloud's Gemini AI platform, creating what they describe as a multi-billion-dollar business opportunity as organizations accelerate AI adoption.
The partnership reflects a growing shift in the enterprise AI market, where customers are increasingly seeking help integrating AI into core business operations rather than simply experimenting with standalone use cases.
Under the new practice, IBM will develop industry-specific AI agents optimized for Google's Gemini models, targeting sectors including banking, government, telecommunications, retail, insurance, energy, healthcare and life sciences.
The companies said the agents will be designed to automate business processes, improve decision-making and support more autonomous operations across enterprise environments.
The collaboration also expands IBM's ability to design, deploy and govern AI agents directly on Google Cloud infrastructure, combining IBM's pre-built industry assets and consulting methodologies with Google's AI platform, governance capabilities and security controls.
Mohamad Ali said enterprises are navigating one of the most complex modernization cycles in decades and increasingly need a clearer path to deploying AI at scale.
For Google Cloud, the partnership helps address growing enterprise demand for AI implementation expertise.
Kevin Ichhpurani said the collaboration expands the pool of Google Cloud AI specialists available to customers and is intended to help organizations move beyond proof-of-concept projects toward production-grade AI deployments.
The initiative will focus on several strategic areas, including AI and data modernization, industry-specific AI solutions, cybersecurity operations, hybrid cloud transformation, workflow automation and governance.
A key element of the partnership involves helping organizations connect enterprise data with Gemini models through common interfaces and integration frameworks designed to work across complex IT environments.
The companies also highlighted their growing focus on agentic AI, one of the fastest-growing segments of the enterprise AI market. IBM plans to combine Gemini capabilities with its watsonx portfolio, including watsonx Orchestrate and watsonx.data, to support workflow automation and enterprise decision-making.
The launch comes as major technology providers increasingly compete to become strategic partners for enterprise AI transformation projects. While many organizations have experimented with generative AI over the past two years, a growing number are now focused on integrating AI into core business processes, modernizing infrastructure and establishing governance frameworks capable of supporting production-scale deployments.
IBM and Google Cloud said they have already collaborated on large-scale modernization projects, including work with Airbus, where the companies helped separate and modernize more than 100 critical systems across regulated business operations.
The new practice underscores how the next phase of enterprise AI adoption is increasingly being driven by integration, governance and operational execution rather than access to AI models alone.
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