Discover hidden data potential for better decision-making.
IBM Watson Discovery helps businesses quickly find and understand critical information hidden in unstructured data. By understanding language and context, it reduces manual search time, improves productivity, and enables faster decision-making. It automatically identifies key content—like sections, tables, and answers—even from poor-quality documents. Users can train it with minimal effort, and it learns to focus on what matters most. Instead of overwhelming users with search results, it delivers precise, relevant insights and can seamlessly integrate them into automated workflows. Watson Discovery transforms how teams access and act on information—driving better outcomes for customers, employees, and the business.
A major insurance firm achieved significant time savings by adopting Watson Discovery for document processing.
A law firm experienced a 4X increase in productivity, contributing to a 30% rise in revenue.
An oil and gas company achieved over $10 million in cost savings by using Watson Discovery to streamline data processing.
Trusted by leading global enterprises across industries such as finance, healthcare, and legal.
Easily integrates into your existing systems, enhancing your workflow without disruption.
Customers report substantial time and cost savings, improved decision-making, and enhanced productivity.
A leading consumer credit company that offers many products and services, receives a large volume of customer inquiries on a wide variety of topics. Company turned to IBM Watson to accomplish two goals: Give customers the information they need, quickly, and reduce the training period and turnover rate for operators.
A leading insurance Reinsurance used IBM AI to automate internal processes triggered by incoming emails for claims and new business submissions. Leveraging the natural language processing functions of IBM Watson Discovery, the platform eliminates 32 steps of manual intervention, reduces errors, and reduces the duration of claims processing.
A leading fintech company that makes the AIEQ, billed as œthe world™s first AI-powered equity ETF (Exchange Traded Fund). By combining structured and unstructured data, AIEQ enables EquBot to select portfolios that are more likely to have the highest opportunity for market appreciation. Over time, the knowledge graphs that IBM Watson allows EquBot to build are growing, allowing for more predictive accuracy over time. As the assets have grown, the ETF continues to improve. In AIEQ™s first year, it underperformed against the broad US market. The next year, it matched this benchmark, and in the subsequent year, it significantly outperformed the US market.
IBM Watson Discovery is an AI-powered search and content analysis platform that uses natural language processing (NLP) to uncover hidden insights in structured and unstructured data. It extracts answers, trends, and patterns from vast volumes of documents, PDFs, webpages, and enterprise data.
Unlike keyword-based search tools, Watson Discovery applies machine learning and NLP to understand context and semantics. It can return answers to complex queries, surface relevant passages, and even recommend actions—making it ideal for enterprise use cases.
Yes. Watson Discovery securely ingests and analyzes internal data sources such as CRMs, databases, support tickets, and knowledge bases. It offers connectors for Box, SharePoint, Salesforce, and custom data integrations.
Common industries include legal, healthcare, insurance, telecom, and customer service. It helps teams automate information retrieval, speed up case resolution, and improve decision-making with AI-enhanced content analysis.
Yes. Watson Discovery is available as a service within IBM Cloud Pak for Data. This allows organizations to unify AI, data governance, and data analysis workflows in a containerized hybrid cloud platform.
Watson Discovery can re-crawl and re-index content on a schedule or trigger basis. With dynamic document ingestion pipelines, it ensures updated results without manual retraining.
It handles PDFs, HTML, Word documents, emails, customer support logs, product documentation, contracts, and more—extracting relevant text, metadata, sentiment, and relationships.
Nexright assists with use case design, data preparation, integration into existing platforms (like CRMs or helpdesks), and model fine-tuning for domain-specific queries, ensuring maximum business value from Discovery.
Unleash the power of AI-driven insights for your business, with the added advantage of IBM Watson speech recognition and voice recognition for richer data analysis.
"*" indicates required fields
"*" indicates required fields
"*" indicates required fields
"*" indicates required fields
"*" indicates required fields
"*" indicates required fields
"*" indicates required fields
"*" indicates required fields
"*" indicates required fields