How does

KPMG

Use AI?

Improves decision-making and reduces analysis time

Project Overview

Supporting audit, tax, and advisory services by extracting insights from unstructured data.

Layman's Explanation

KPMG’s AI scans piles of business documents and pulls out what matters most—so consultants and auditors can make smart calls faster.

Details

KPMG leverages AI, especially natural language processing, to analyze large volumes of unstructured data—such as contracts, emails, and financial documents—to assist in audits, tax assessments, and strategic consulting. The AI identifies key risks, trends, and anomalies, enabling professionals to focus on higher-value tasks while improving the accuracy and speed of insights. This enhances the firm's ability to deliver informed recommendations and comply with regulatory requirements more efficiently.

Analogy

It’s like giving your accountant X-ray vision to instantly spot red flags in a mountain of paperwork.

Machine Learning Techniques Used

  • Natural Language Processing: Analyzes unstructured data for audits and consulting.
  • Anomaly Detection: Identifies risks and trends in datasets.
  • More Use Cases in

    Finance

    3

    /5

    Novelty Justification

    NLP for extracting insights from unstructured data is now standard in consulting and audit.

    Project Estimates

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