Home STAY CURRENTArticles IBM Unveils Cognitive Exploration To Drive Better Business Outcomes

IBM Unveils Cognitive Exploration To Drive Better Business Outcomes


IBM announced the availability of a cognitive-infused Watson Explorer, a powerful combination of data exploration and content analytics capabilities. Typical organizations only use 12 percent of their dataˡ, leaving a wealth of untapped information across the enterprise that could be leveraged to make smarter decisions. Watson Explorer equips users with the information and analytics capabilities which can help them to deliver better performance and real-time results. Watson Explorer has enabled hundreds of customers to connect with their data, build information-centric applications and helped them to improve the quality and speed of their decision making. With today’s announcement, Watson Explorer advances core cognitive components by providing organizations the ability to quickly use natural language processing capabilities and data exploration to discover valuable business information in both structured and unstructured data.

Watson Explorer advances data exploration by bringing cognitive capabilities, providing users with a 360-degree view of contextually relevant information to offer deeper levels of insight, showing what is happening and why. Unlike traditional search solutions that fail to provide context, trends and relationships, Watson Explorer can help professionals find and understand the information they need to work more efficiently, gain more insights from their unstructured content and realize their objectives of improving business outcomes. New Watson Explorer features include advanced content analytics capabilities giving users a view into structured and unstructured data. Watson Explorer provides the bridge between cloud-based services and on-premise proprietary information, making it the logical first step in a Watson journey.

Today’s business environment demands an ability to make high quality decisions more quickly than ever before, against a rapidly expanding set of inputs. Enterprise data and applications are typically siloed and lack the information sharing capacity to facilitate better employee performance. Take, for example, a customer service representative at a global retailer. Hundreds of billions of customer service calls are handled annually, during which an average customer service representative interfaces with over ten different systems per call, requiring them to move between different applications, run multiple searches, mentally correlate the information and respond to the customer all in real-time – a monumental undertaking. When a customer calls with questions, representatives face a struggle to create a consistently excellent experience for their customer due to challenges finding, organizing, analyzing and correlating the right information for that specific customer at that moment.

Cognitive exploration can enhance a user’s ability to use information to make more informed, evidence based decisions. It does this by providing information and understanding from relevant sources, much like a human would. With Watson Explorer, for example, a representative is able to ask a question in natural language and instantly retrieve relevant content, expertly culled from a variety of data sources, both structured and unstructured. Watson Explorer’s content analytics feature leverages the power of natural language processing to enable organizations to extract meaning from content such as customer comments, messages, social media, legal documents and research reports

“Exploration of data is part of a journey toward discovery of valuable information to help organizations make critical business decisions,” said Stephen Gold, vice president, IBM Watson Group. “We are continually looking for ways to provide enterprise customers with tools that will make a difference to their employees and drive results for their bottom line. Watson Explorer brings cognitive capabilities to users at every level, giving them real-time access to the valuable information often locked in structured and unstructured data.”

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