Tapping into unstructured data—text, voice, audio, images, videos—to enhance enterprise insight discovery, analytics, and decision making
Natural Language Processing (NLP) is being integrated into our daily lives with virtual assistants like Siri, Alexa, or Google Home. In the enterprise world, NLP has become essential for businesses to gain a competitive edge. Consider the valuable insights hidden in your enterprise
unstructured data—text, email, social media, videos, customer reviews, reports, etc. NLP applications are a game changer, helping enterprises analyze and extract value from this unstructured data.
At the Search & Content Analytics practice of Accenture, we focus on delivering Natural Language Processing consulting and implementation services that help enterprises leverage unstructured data to transform outcomes across industries and business functions.
Extracting insights from unstructured data has been difficult. But with natural language processing and machine learning, this is changing fast.
Enhance enterprise knowledge management and discovery by providing employees with natural language responses generated from data from multiple sources.
Combine NLP and machine learning (ML) to help gain insights into human-generated, natural language text documents.
Answer support queries and direct users to manuals or other resources, helping enterprises reduce support costs and improve customer engagement.
Improve search relevancy, provide targeted responses, and deliver personalized results based on the user’s query intent.
Mine social media, reviews, news, and other relevant sources to gain better insights about customers, partners, competitors, and market trends.
Identify potential fraud and risk by analyzing financial and contract documents as well as specific communications.
Provide visibility into enterprise data storage and reduce costs by removing or migrating stale and obsolete content.
Extract information from historical documents, reports, maps, notes, etc., to support business operations and new explorations.
Extract insights from research and trials reports to accelerate drug discovery and improve manufacturing processes.
Whether you’re looking to implement your first NLP application or improve an existing one, our NLP consulting and implementation services can be tailored to your project requirements. We leverage deep NLP and data science expertise to bring:
Assessment, project planning, architectural design, implementation, and support for your NLP application.
Acquire unstructured or semi-structured data from multiple enterprise sources using Accenture’s Aspire content processing framework and connectors.
A scalable, maintainable NLP/NLU framework supporting content understanding and query interpretation to deliver better insights and user experience.
Custom, enhanced user interface for a unified natural language search and analytics experience.
Integration with AI technologies and knowledge graphs to improve accuracy, relevancy, and automation.
We implement NLP techniques to understand both the user’s natural language query and the enterprise’s content to deliver the most relevant insights.
Raw language processing
As raw data varies from different sources, we bring content processing services to ensure your data is enriched for the highest-quality results.
Text mining and text extraction
Often, the natural language content is not conveniently tagged. Text mining, text extraction, or possibly full-up NLP can be used to extract useful insights from this content.
Statistical language processing
To provide a general understanding of the document as a whole.
We continuously refine our NLP techniques to support more complex enterprise requirements. Applying advanced NLP and other AI methods, we are exploring innovative use cases, such as:
Match the question to a curated FAQ list or previously-answered questions database.
Read and interpret highly-curated content, such as documentation and specifications.
Read and convert written procedures into knowledge graphs for faster, more robust insight discovery.
Used to generate answers from curated, structured information.
Our experts discuss the latest trends and best practices for using Natural Language Processing (NLP) and AI-powered search to unlock more insights and achieve greater outcomes.
How AI technologies like NLP and Knowledge Graphs are turning enterprise search into intelligent question-answer systems.
How natural language processing techniques are used in document analysis to derive insights from unstructured data.
