Tech Mahindra and Microsoft Forge Partnership to Empower Enterprise Search with Gen AI

TL;DR:

  • Tech Mahindra and Microsoft collaborate to introduce Generative AI-Powered Enterprise Search.
  • The offering, known as Generative AI-Powered Enterprise Knowledge Search, enhances knowledge accessibility and personalization.
  • It leverages Microsoft Azure OpenAI Service, Azure Cognitive Search, and Azure Language Understanding.
  • AI-driven capabilities include content summarization, knowledge graph-led knowledge structuring, and an innovative query interface.
  • The solution ensures accurate tagging and indexing, removes duplicate and irrelevant content, and maintains a reliable knowledge repository.
  • Advanced statistical analysis, Natural Language Processing (NLP), and Large Language Models (LLMs) are utilized.
  • The offering transcends traditional boundaries by integrating diverse content types and sources.

Main AI News:

In a groundbreaking collaboration, Tech Mahindra and Microsoft have joined forces to introduce Generative AI-Powered Enterprise Search. This revolutionary offering, known as Generative AI-Powered Enterprise Knowledge Search, is part of Tech Mahindra’s extensive suite of AI solutions, called TechM amplifAI0->∞. By leveraging generative AI, this innovative solution enables enterprises to unlock the full potential of their data, providing a comprehensive and personalized search experience across multiple modes and channels.

Tech Mahindra’s Generative AI-powered Enterprise Knowledge Search incorporates Microsoft’s Azure OpenAI Service, Azure Cognitive Search, and Azure Language Understanding, creating a dynamic platform that empowers organizations to enhance knowledge accessibility in a truly unparalleled manner. By utilizing advanced technologies, this integration significantly augments the knowledge quotient within enterprises, ultimately leading to improved effectiveness and productivity.

One of the key advantages of this collaboration is the introduction of various AI-driven capabilities. These include content summarization, knowledge graph-led knowledge structuring, and an innovative query interface, all of which transform the way enterprises interact with their data. Through accurate tagging and indexing, the solution ensures data integrity and eliminates duplicate or irrelevant content, enabling organizations to maintain a streamlined and reliable knowledge repository. Additionally, advanced statistical analysis, Natural Language Processing (NLP), and Large Language Models (LLMs) are leveraged to deliver a user-centric and efficient search experience.

Crucially, this pioneering offering transcends traditional boundaries by seamlessly integrating diverse content types and multiple content sources. It empowers enterprises to break free from the limitations of conventional search methods, allowing for a comprehensive search experience that effortlessly spans various information formats.

Hasit Trivedi, CTO – Digital Technologies and Global Head – of AI at Tech Mahindra, expressed his excitement about the collaboration, stating, “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. By ensuring correct tagging and indexing, de-duplicating content, removing irrelevant information, and maintaining a reliable repository, we aim to provide enterprises with a comprehensive solution that leverages cutting-edge technologies such as advanced statistical analysis, Natural Language Processing (NLP) and Large Language Models (LLMs).”

Conclusion:

The collaboration between Tech Mahindra and Microsoft to introduce Generative AI-Powered Enterprise Search signifies a significant advancement in the market. By combining cutting-edge technologies and AI-driven capabilities, this solution empowers enterprises to unlock the full potential of their data and achieve enhanced effectiveness and personalization. With its comprehensive search experience, accurate content management, and seamless integration of various information formats, this collaboration sets a new standard for enterprise search solutions. It paves the way for increased knowledge accessibility and productivity, marking a transformative milestone in the realm of enterprise search.

Source