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Government Of Gujarat, IAIRO, And IBM Announce Industrial AI Centre Of Excellence In Gujarat
IBM Government of Gujarat, and the Indian AI Research Organisation (IAIRO) announced their intent to establish an Industrial Artificial Intelligence Centre of Excellence (Industrial AI CoE) in Gujarat. The Industrial AI CoE, will serve as a Living Lab, envisioned to drive technology innovation, demonstrations, and pilot programs to enable creation and adoption of industrial applications of Artificial Intelligence that leverage and advance sovereign AI technologies. The initiative also aims to facilitate knowledge exchange across the AI ecosystem through workshops, conferences, technical sessions and stakeholder engagements, fostering collaboration between industry, academia and government. Additionally, the Industrial AI CoE will promote skill development and capacity building through academic partnerships, research initiatives, hackathons, and training programs in emerging AI technologies. It is further intended to serve as a focal point for collaboration on the development of AI frameworks, reference architectures, standards, and best practices to enable responsible and scalable AI adoption. The initiative will encourage innovation and applied research to strengthen Gujarat's AI ecosystem and accelerate the adoption of Industrial AI solutions. Dr. Amit Sheth, Founding Director, Indian AI Research Organisation said, "The next generation of industrial systems will require AI that combines learning with domain knowledge, human expertise, and trust. Translating these capabilities into real-world impact requires an ecosystem where research, policy, and enterprise innovation evolve together, and Gujarat's industrial leadership provides a strong foundation for that transformation. This initiative will help advance indigenous innovation, nurture world-class talent, and translate frontier research into real-world impact, strengthening India's leadership in trustworthy Industrial AI in collaboration with the Government of Gujarat and IBM." Sriram Raghavan, General Manager, IBM Software, India and Software Innovation Lab said, "Scaling the application of AI is rapidly emerging as a strategic imperative for manufacturing and industrial organizations aiming to enhance operational resilience and unlock new productivity gains. Realizing this opportunity requires not only advanced AI models, but also access to real-time and historical data, enterprise-ready platforms, governance, and ecosystem partnerships. We look forward to collaborating with the Government of Gujarat and IAIRO to help create a platform that fosters innovation, develops skills, and accelerates the adoption of sovereign AI technologies." As part of the collaboration, IBM and IAIRO intend to serve as technical and strategic advisors to the Department of Science and Technology, Government of Gujarat, providing expertise in Industrial AI technologies, sovereign AI technologies, asset management platforms and related best practices to scale AI adoption in the industry sector.
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Gujarat to Host New Industrial AI Centre of Excellence with IBM & IAIRO
IBM the Department of Science and Technology, Government of Gujarat, and the Indian AI Research Organisation (IAIRO) today announced their intent to establish an Industrial Artificial Intelligence Centre of Excellence (Industrial AI CoE) in Gujarat. Industrial Artificial Intelligence (AI) is the application of AI technologies across asset-intensive sectors such as manufacturing, energy, utilities and supply chains to enhance efficiency, safety, resilience, and quality within real-world constraints. The Industrial AI CoE aims to serve as a hub for Industrial AI innovation, skilling, and ecosystem development, supporting Gujarat's vision of becoming a leading destination for Industrial AI leveraging sovereign AI technologies. The Industrial AI CoE, will serve as a Living Lab, envisioned to drive technology innovation, demonstrations, and pilot programs to enable creation and adoption of industrial applications of Artificial Intelligence that leverage and advance sovereign AI technologies. The initiative also aims to facilitate knowledge exchange across the AI ecosystem through workshops, conferences, technical sessions and stakeholder engagements, fostering collaboration between industry, academia and government. Additionally, the Industrial AI CoE will promote skill development and capacity building through academic partnerships, research initiatives, hackathons, and training programs in emerging AI technologies. It is further intended to serve as a focal point for collaboration on the development of AI frameworks, reference architectures, standards, and best practices to enable responsible and scalable AI adoption. The initiative will encourage innovation and applied research to strengthen Gujarat's AI ecosystem and accelerate the adoption of Industrial AI solutions. Dr. Amit Sheth, Founding Director, Indian AI Research Organisation said, "The next generation of industrial systems will require AI that combines learning with domain knowledge, human expertise, and trust. Translating these capabilities into real-world impact requires an ecosystem where research, policy, and enterprise innovation evolve together, and Gujarat's industrial leadership provides a strong foundation for that transformation. This initiative will help advance indigenous innovation, nurture world-class talent, and translate frontier research into real-world impact, strengthening India's leadership in trustworthy Industrial AI in collaboration with the Government of Gujarat and IBM." Sriram Raghavan, General Manager, IBM Software, India and Software Innovation Lab said, "Scaling the application of AI is rapidly emerging as a strategic imperative for manufacturing and industrial organizations aiming to enhance operational resilience and unlock new productivity gains. Realizing this opportunity requires not only advanced AI models, but also access to real-time and historical data, enterprise-ready platforms, governance, and ecosystem partnerships. We look forward to collaborating with the Government of Gujarat and IAIRO to help create a platform that fosters innovation, develops skills, and accelerates the adoption of sovereign AI technologies." As part of the collaboration, IBM and IAIRO intend to serve as technical and strategic advisors to the Department of Science and Technology, Government of Gujarat, providing expertise in Industrial AI technologies, sovereign AI technologies, asset management platforms and related best practices to scale AI adoption in the industry sector.
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The Government of Gujarat, IBM, and the Indian AI Research Organisation announced plans to establish an Industrial Artificial Intelligence Centre of Excellence in Gujarat. The initiative will function as a Living Lab to drive AI innovation, pilot programs, and skill development across manufacturing, energy, and supply chains while advancing sovereign AI technologies.
The Government of Gujarat, IBM, and the Indian AI Research Organisation (IAIRO) have announced their intent to establish an Industrial Artificial Intelligence Centre of Excellence in Gujarat, marking a significant step toward strengthening India's position in trustworthy Industrial AI
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. The Centre of Excellence will serve as a Living Lab designed to drive technology innovation, demonstrations, and pilot programs that enable the creation and adoption of industrial applications leveraging sovereign AI technologies. This initiative targets asset-intensive sectors including manufacturing, energy, utilities, and supply chains, where AI can enhance efficiency, safety, resilience, and quality within real-world operational constraints.
Source: DT
The Industrial AI Centre of Excellence aims to facilitate knowledge exchange across the AI ecosystem through workshops, conferences, technical sessions, and stakeholder engagements that foster collaboration between industry, academia, and government
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. IBM and IAIRO intend to serve as technical advisors to the Department of Science and Technology, Government of Gujarat, providing expertise in Industrial AI technologies, asset management platforms, and best practices to scale AI adoption in the industrial sector1
. The initiative will also serve as a focal point for developing AI frameworks and standards, reference architectures, and best practices to enable responsible and scalable AI adoption across industries.Skill development and capacity building form a core pillar of the initiative, with plans for academic partnerships, research initiatives, hackathons, and training programs in emerging AI technologies
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. Dr. Amit Sheth, Founding Director of the Indian AI Research Organisation, emphasized that "the next generation of industrial systems will require AI that combines learning with domain knowledge, human expertise, and trust," noting that Gujarat's industrial leadership provides a strong foundation for this transformation1
. The initiative is expected to nurture world-class talent and translate frontier research into real-world impact, addressing the growing need for professionals who can bridge AI capabilities with industrial requirements.Related Stories
Sriram Raghavan, General Manager of IBM Software India and Software Innovation Lab, highlighted that "scaling the application of AI is rapidly emerging as a strategic imperative for manufacturing and industrial organizations aiming to enhance operational resilience and unlock new productivity gains"
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. He noted that realizing this opportunity requires not only advanced AI models but also access to real-time and historical data, enterprise-ready platforms, governance, and ecosystem partnerships. The collaboration between IBM and IAIRO with the Government of Gujarat is designed to create a platform that accelerates the adoption of sovereign AI technologies while ensuring these systems meet industrial-grade requirements for reliability and trust. As organizations face increasing pressure to optimize operations and build resilience, Gujarat's Centre of Excellence could emerge as a critical testing ground for industrial AI solutions that balance innovation with practical deployment challenges.Summarized by
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