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Tech Mahindra Partners with Microsoft to Enable Gen AI Powered Enterprise Search
Tech Mahindra Partners with Microsoft to Enable Gen AI Powered Enterprise Search

Tech Mahindra Partners with Microsoft to Enable Gen AI Powered Enterprise Search

This will bring multiple AI-led capabilities like content summarization, knowledge graph-led knowledge structuring, and a new kind of query interface

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Key takeaways

  • Tech Mahindra has partnered with Microsoft to launch Generative AI Powered Enterprise Knowledge Search.
  • The new solution aims to enhance effectiveness and personalisation in enterprise data utilisation.
  • Key features include content summarisation, knowledge graph structuring, and an innovative query interface.
  • Integration with Microsoft Azure services will improve knowledge accessibility within organisations.
  • The offering focuses on user-centric search and efficient data management through advanced AI technologies.
5 min

Tech Mahindra announced an integration with Microsoft to enable Generative AI Powered Enterprise Search. The new offering, Generative AI Powered Enterprise Knowledge Search under Tech Mahindra’s TechM amplifAI0->∞ suite of AI offerings and solutions, will help enterprises increase effectiveness and personalisation by using generative AI to unlock the full potential of enterprise data and present a multi-modal, multi-channel search experience.

Tech Mahindra’s Generative AI-powered Enterprise Knowledge Search integrates Microsoft Azure OpenAI Service, Azure Cognitive Search, and Azure Language understanding to help enterprises unleash knowledge accessibility in a unique way, which will eventually improve the knowledge quotient within organizations. 

This will bring multiple AI-led capabilities like content summarization, knowledge graph-led knowledge structuring, and a new kind of query interface.

“We are delivering an advanced enterprise search offering, which will unlock the full potential of data in enterprise environments with generative AI and offer a user-centric and efficient search, ensure tagging and indexing are correct, de-duplicate content, remove irrelevant content & maintain the repository, leverage advanced statistical analysis, Natural Language Processing (NLP), Large Language Model (LLM), etc. 

“The offering provides for the manifestation of content transcending across different content types and multiple content sources,” Hasit Trivedi, CTO – Digital Technologies and Global Head - AI, Tech Mahindra, said. 

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