SAN CARLOS, Calif. — February 24, 2011 — Unstructured information has taken the world by storm, and companies around the globe are starting to learn that it offers a substantial opportunity for innovation. MarkLogic Corporation, the company revolutionizing the way organizations leverage unstructured information, today announced the first annual UK Summit focused on addressing the unstructured information challenge. UK businesses, analysts and industry experts will meet in London on March 17, 2011, to discuss how organizations can fully exploit the 80 percent of data that is classified as unstructured information. This includes pictures, video, research data, social media posts, tweets and documents that we use every day to communicate, i.e. anything that doesn’t fit into the columns and rows of a traditional relational database. The conference will take place at the British Academy of Film & Television Arts at 195 Piccadilly. To register, please visit the summit website.
““The MarkLogic UK Summit is an opportunity for companies from across the media, government, and enterprise sectors to learn how to improve information sharing, add value to customers, reduce complexity of data management, and increase transparency,” said John Pomeroy, vice president, MarkLogic Europe. “With the vast majority of data incompatible with traditional relational databases and the quantity of records and formats exploding, many companies find that their business is held back and opportunities are being missed, because their existing database systems are inefficient. This summit will explore the importance of leveraging that data and discuss how using a database for unstructured information can have a real impact on the bottom line.”
Among the speakers who will address the challenges and opportunities of unstructured data are:
For more information or to register for the MarkLogic UK Summit on March 17, 2011, please visit the summit website.
MarkLogic helps customers create value from complex data faster. Our platform ingests data from any source, creating and refining metadata to support powerful models. Customers use these models for deep search and query, building enterprise applications and bringing unique insights to analytics and machine learning.