The Potential of Generative AI for Enterprise Search: Why and How, Top Reason Explained with Example

The new offering 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.

In the rapidly evolving digital landscape, generative AI presents an exciting frontier for enterprise search solutions. In this article, we delve into the transformative potential of AI, unpacking its profound implications for improving business efficiency, accuracy, and scalability. We’ll dissect the top reasons for incorporating this groundbreaking technology, elucidating the ‘Why’ and the ‘How’, and punctuating our discussion with practical examples that highlight the tangible impact of AI on enterprise search.

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Collaboration Between Tech Mahindra and Microsoft

In a recent demaple Tech Mahindra, a leading provider of digital transformation, consulting, and business re-engineering services and solutions, 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.

The launch of Generative AI-Powered Enterprise Knowledge Search is in line with Tech Mahindra’s continuous endeavour to transform enterprises with advanced AI-led offerings and solutions, along with its recent addition of Evangelize Pair Programming and Generative AI Studio.

Generative AI: A Game-changer for Enterprise Search

Generative AI is a branch of artificial intelligence that can create new content or data based on existing data or content. It can generate text, images, audio, video, and other types of content using advanced techniques such as natural language processing (NLP), computer vision, and deep learning. Generative AI has many applications in various domains such as entertainment, education, healthcare, e-commerce, and more.

One of the emerging applications of generative AI is enterprise search, which is the process of finding and accessing information within an organisation. Enterprise search is crucial for enhancing business performance, decision-making, innovation, and collaboration.

Challenges

However, enterprise search faces many challenges such as:

The volume, variety, and velocity of enterprise data are increasing exponentially, making it difficult to manage and access.

The enterprise data is often scattered across multiple sources, formats, and systems, creating silos and inconsistencies.

The enterprise data is often unstructured or semi-structured, requiring complex processing and analysis to extract meaningful insights.

Enterprise users have diverse needs, preferences, and contexts, requiring personalised and relevant search results.

Enterprise users have different modes and channels of accessing information, requiring seamless and intuitive search interfaces.

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Solutions

Generative AI can address these challenges by enabling a new kind of enterprise search that is:

• Scalable: Generative AI can handle large amounts of data and generate content on demand.
• Intelligent: Generative AI can understand the meaning and context of data and content and generate relevant and accurate results.
• Creative: Generative AI can create new content or data that does not exist in the original sources or formats.
• Personalised: Generative AI can tailor the results to the user’s needs, preferences, and contexts.
• Multi-modal: Generative AI can generate content across different modes such as text, images, audio, video, etc.
• Multi-channel: Generative AI can generate content across different channels such as web, mobile, voice assistants, conversational AI platforms, etc.

Tech Mahindra’s offering: A unique integration of Microsoft Azure AI services

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. This will eventually improve the knowledge quotient within organisations.

This will bring multiple AI-led capabilities like:

Content summarisation: Generative AI can summarise long documents or articles into concise summaries that capture the main points and keywords.

Knowledge graph-led knowledge structuring: Generative AI can create knowledge graphs that represent the relationships and connections between entities and concepts in the data or content.

A new kind of query interface: Generative AI can understand natural language queries or commands from the users and generate appropriate responses or actions.

Harnessing the Power of Generative AI for Enterprise Search

Insights from Hasit Trivedi, CTO – Digital Technologies and Global Head – AI, Tech Mahindra

Hasit Trivedi, a recognized figure in the tech industry and currently serving as the CTO – Digital Technologies and Global Head – AI at Tech Mahindra, recently discussed the compelling possibilities that generative AI brings to the realm of enterprise search. He shed light on the fact that knowledge workers spend an exorbitant amount of their time in search of information, which often leads to reduced productivity and operational efficiency.

Trivedi shares, “The emergence of generative AI and its advanced capabilities have sparked a renewed interest among enterprises to reassess how they approach enterprise search.” With this heightened interest, Tech Mahindra aims to reshape the landscape by delivering a sophisticated enterprise search offering powered by generative AI.

This innovative solution promises to revolutionize the way businesses handle data, offering a more user-centric and efficient search process. This system ensures accurate tagging and indexing, eliminates duplicate content, removes irrelevant material, and upkeeps the data repository.

By leveraging advanced statistical analysis, Natural Language Processing (NLP), and Large Language Models (LLMs), Tech Mahindra’s solution aims to elevate the quality and speed of enterprise search. Trivedi emphasizes, “The offering provides for the manifestation of content transcending across different content types and multiple content sources.” This comprehensive approach to search and data management embodies the transformative potential of generative AI, ushering in a new era of enterprise efficiency.

Benefits for Enterprises: Increased productivity and satisfaction

Generative AI-Powered Enterprise Knowledge Search will help enterprises unleash new levels of productivity by optimizing business processes, empowering people, and creating high-quality customer and employee experiences.

Facilitating faster information access and discovery will help enterprises improve employee productivity and satisfaction by creating more intelligent, personalized, and effective experiences. Users can also search for information from images, audios, videos, and other types of content in addition to documents. Further, an omnichannel experience is provided by being able to search across multiple channels, such as voice assistants or conversational AI platforms.

Integrating Microsoft Azure AI for Enhanced Enterprise Search

Perspectives from Sangita Singh, General Manager IT&ITES, Microsoft India

Sangita Singh, the General Manager IT&ITES at Microsoft India, provides an interesting perspective on Tech Mahindra’s cutting-edge enterprise search offering. As she details, this system is unique due to its integration of Microsoft Azure AI, which facilitates the application of generative AI in an enterprise setting.

Singh elaborates, “Tech Mahindra’s offering integrates Microsoft Azure AI to enable enterprises to tap into Generative AI, unlock the full potential of their data, and create a multi-modal multi-channel search experience.” This blend of sophisticated AI technologies and robust data management capabilities offer a comprehensive search experience, transcending the traditional limitations of enterprise search.

According to Singh, this integration promises to do more than streamline data retrieval and analysis. It also aims to amplify both the efficiency and personalization of the user experience, thereby enhancing overall employee productivity and satisfaction. Singh’s commentary underscores the value of generative AI and cloud technologies like Microsoft Azure AI in shaping the future of enterprise search.

Takeaways

Tech Mahindra’s recent integration of Microsoft Azure OpenAI promises to revolutionize enterprise knowledge. The innovative offering is set to enhance proficiency, productivity, and employee satisfaction across enterprises.