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Demystifying AI-Enabled Search: How It Transforms Data Discovery

Demystifying AI-Enabled Search: How It Transforms Data Discovery

Data drives decisions. But sometimes, finding that data can prove difficult…

A 2023 survey by Gartner found that 47% of Digital Workers struggle to find the information needed to effectively perform their jobs.

Tori Paulman, Senior Director Analyst at Gartner states “Employees struggle to stay afloat as information and applications flood their digital workplace. Although digital workers are putting in effort to try to efficiently manage this content to try reduce duplication and/or improve knowledge sharing and retention, finding the information needed to do their jobs can often be a challenge.”

The operational impact of such information overload includes reduced productivity, increased costs, risk of non-compliance, and limitations on decision-making capacity. The IDC estimates that knowledge workers spend 2.5 hours per day searching for information.

AI-Enabled Search offers a solution…

What is AI-Enabled Search?

AI-enabled search refers to intelligent search systems that leverage artificial intelligence to understand, anticipate, and improve search results. Unlike traditional keyword-based searches that rely on specific queries, AI-search understands and interprets semantic and contextual meaning to deliver more meaningful insights and results.

Such systems typically utilise Natural Language Processing (NLP) and Large Language Models (LLM) to understand the intent behind a search query. This means that when users ask a question or search for something, the AI can interpret what they’re looking for beyond the specific words used.

Transforming Data Discovery

The implications of AI-enabled search for businesses are profound, enabling more effective and efficient data discovery by interpreting and understanding the semantic and contextual meaning behind queries, which allows for the retrieval of more accurate and relevant information.

By analysing patterns in data and user behaviour, AI-enabled search systems continuously refine their algorithms to provide increasingly sophisticated results.

Additionally, AI-enabled search has the capacity to return relevant unknowns by returning other data that may not have been explicitly queried; uncovering patterns and connections within the data that might have been otherwise missed.

With AI search, decision-makers don’t need to rely on data specialists for every query. They can interact directly with the data using natural language, making data-driven decisions faster and more independently.

Learn More

Analytics Engines are experts in data science, data matching, search, integration, and visualisation. Our unique accelerator IP allows us to build and deploy solutions much faster, reducing time to value for our clients. We work in close partnership with you and your organisation to unlock the value in your data. We offer end-to-end guidance and support to help your business along its data journey. We build solutions that: uncover decision-critical insights; address complex institutional problems; and solve your most pressing problems.

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by PJ Kirk

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