Natural Language Processing

Leverage your data in textual form.

60% of global enterprises are sitting on 100+ terabytes of unstructured data*. In other words, businesses are producing a text equivalent of a new US Library of Congress every day.

NLP allows organizations to quickly explore and utilize the world’s exponentially growing sources of text-based information. Using best-in-class machine intelligence solutions will help you answer complex questions in real time with human-level precision.

*Source: Forrester

Source: expert.ai

Industries

Insurance

Reduce risk, improve win rates, and increase capacity for commercial insurance carriers and brokers.

Banking and Finance

Capitalize on your knowledge and streamline information-intensive processes to meet demands of customers and regulators.

Life Science & Pharma

Make the most of your data to improve R&D, prevent operational risks and enhance the quality of your treatment and care.

Customer Service

Use NLP to automate your customer service and provide a 24/7 superior experience.

... and some many more.

Don't get left behind.

Empower your organization to transform data into knowledge and insight. Introduce understanding of complex language.

Natural language processing (NLP) allows to process and analyze large amounts of natural language data. The goal is a system capable of “understanding” the contents of documents, including the contextual nuances of the language within them. The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves.

Techniques

Natural Language Processing has different techniques based on symbolic approaches, typically rule and symbol based, but also based on machine learning.

Named Entity Recognition

Extracting persons, places, organizations, dates, addresses, from documents.

Document Classification

Document classification determines what a text is about in terms of categories of a taxonomy.

search

Semantic
Search

Search with meaning, as distinguished from regular search where the search engine looks for literal matches

information retrieval

Information Extraction

Extracting relevant business information from text documents.

Use Cases

Digital Customer Interaction

Enhance multichannel engagement, providing natural language interfaces, self-service systems, chatbots, email management and optimize other customer channels.

Corporate Intelligence

Leverage open source intelligence through rich information analysis to support strategic decision making, minimize operational risk and optimize investment management.

Intelligent Robotic Process Automation

Take RPA to the next level by providing bots with additional data from unstructured documents from front and back office operations, internal workflows, and more.

Legal and Compliance Management

Augment human-run tasks by applying NLU to review legal documents, ensure compliance and evaluate the impact of new regulation on bank contracts and policies.

Risk Management

Empower anti-money laundering, Know Your Customer (KYC) and third-party risk monitoring activities with intelligent data access and analysis.

Market Intelligence

Capitalize on intellectual property, capture opportunities and threats and monitor scientists to enhance decision-making processes.

Legal Analytics

Bring order to vast and growing amounts of data to derive valuable insights that support key strategic decisions and predictions throughout the litigation process.

Scientific Information Management

Reduce knowledge retrieval time and improve search productivity to deliver deeper insight and highly reliable, complete results.

expert.ai Certified Partner

Our team is a certified partner of expert.ai, a leading NLP technology company. We helped companies introducing Natural Language Processing by integrating and customizing solutions on top of the expert.ai Products.

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