Coveo, a recognized leader in intelligent search, today introduced Coveo Machine Learning™, the first cloud-based, self-learning search service for the enterprise. Coveo Machine Learning is a patent-pending, analytics-based machine learning service that continually analyzes search behavior patterns to understand which results and content lead to the best outcomes, such as customer self-service success. In addition to intuitively enhancing search results so the best-performing content always rises to the top, Coveo Machine Learning automatically delivers the most relevant search results and proactive recommendations with less effort than ever before.
Search relevance is essential for companies that want to gain value from their data stores, but research finds they often struggle with the required foundational work such as underlying metadata projects and taxonomies. Gartner Research shows that approximately 90 percent of taxonomy projects fail(1), while Forrester Research finds that less than half of companies have a metadata strategy, and even those that do, have only partially implemented it(2). Based on analytics and machine learning, Coveo Machine Learning acts as a ‘data scientist in a box,’ enabling organizations to create high-impact search experiences without the effort traditionally associated with deep taxonomies, extensive metadata projects, manual search tuning, and the complexity of machine learning projects.
“Coveo Machine Learning transforms the way people search and discover insights that matter,” said Laurent Simoneau, Coveo President and CTO. “Coveo Machine Learning recognizes intent, learns what others have found valuable, and presents relevant information even without an explicit search match. It also transforms the management of search applications, drastically reducing efforts by removing the need to continually fine-tune and update relevance, and eliminating the need for complex thesaurus and metadata programs.”
“Information from Coveo Usage Analytics has been extremely valuable to us, helping to increase the usability and self-service capability of our partner community,” said David Wylie, manager, central partner operations at VMware, a Coveo Machine Learning beta customer. “Once we’ve deployed Coveo Machine Learning completely, it will ingest the analytics on search behavior and use it to automatically tune results. This will help us to create even better experiences for our partners automatically, without us having to analyze the analytics and manually tune the engine. Preliminary results look very good.”
The first Coveo Machine Learning-powered capabilities are available in Coveo for Salesforce – Community Cloud Edition.
Coveo is on a mission to transform business by engaging customers with greater relevance and upskilling employees with intelligent search, where and when they work and interact. Coveo Intelligent Search Apps unleash the power of fragmented, disparate information from across the enterprise IT ecosystem, cloud and on-premise, to surface and recommend what matters: relevant information, people, products and services. Recognized as the Most Visionary Leader in Enterprise Search by Gartner and as a leader in Big Data Search and Knowledge Discovery by Forrester, Coveo Intelligent Search allows companies to succeed at self-service, create high performance contact centers, and cultivate company-wide collaboration. With the search industry’s highest security standards, broadest connectivity and greatest relevance, Coveo removes complexity to make intelligent search work, quickly and effectively, with the only end-to-end intelligent search platform in the cloud. Coveo customers include more than 1500 mid-to-large size, global organizations across multiple industries. Coveo partners with some of the world’s largest enterprise technology ecosystems, such as Salesforce, where contextual insights from outside the platform are critical to delivering a unified experience for their customers. For more information, please visit www.coveo.com, and follow us on the Coveo blog, LinkedIn, Twitter, and YouTube.
1.) Gartner, Use Five Practical Steps to Revitalize a Business-Driven Taxonomy by Hanns Koehler-Kruener and Gavin Tay, March 19, 2015
2.) Forrester Research, Best Practices: Establish Your Metadata Plan by Henry Peyret, June 22, 2010