Tech Mahindra Collaborates with CrateDB to Advance Agentic AI in Industry
CIOTechOutlook Team | Thursday, 03 April 2025, 14:05 IST
Tech Mahindra and CrateDB, a prominent data management firm, have made a strategic partnership announcement at Hannover Messe 2025, the global leading industrial technology trade fair. The partnership will redefine the automotive, manufacturing, and smart factory industries by combining cutting-edge agentic AI technologies with real-time analytics, enabling businesses to power large-scale innovation and efficiency.
Through the union of Tech Mahindra's deep industry knowledge and digital transformation capabilities with CrateDB's high-performance database technology, the collaboration aims to unlock the maximum potential of data for industrial businesses. Through the use of CrateDB's open-source, multi-model, distributed database, Tech Mahindra will provide businesses with sophisticated tools to streamline supply chains, improve predictive maintenance models, and sustain higher quality control across operational hubs.
Further, the solutions will also examine and incorporate time-series data from industrial IoT (IIoT) sensors into a cloud environment so that companies can leverage structured data for faster and better decision-making. With innovative cloud data management architecture, Tech Mahindra and CrateDB have built extremely scalable and sustainable solutions that allow industrial businesses to scale up production across the world while maximizing cloud resources.
With its flexible and adaptive architecture, this solution is deployable across different manufacturing sub-sectors, providing companies with a single solution for real-time analytics. In an era where industries globally are adopting Industry 4.0, the capability to process and act on data in real time has emerged as a determining factor. Under this association, Tech Mahindra and CrateDB will also have live demonstrations at Hannover Messe 2025, enabling attendees to see the firsthand experience of how real-time analytics and highly scalable data infrastructure can maximize efficiency and streamline industrial operations.
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