| | DECEMBER 20198CIOReviewIN MY OPINIONDATA ANALYTICS, MACHINE LEARNING WILL POWER AN ENTERPRISE CONTENT MANAGEMENT EVOLUTION By Aref Matin, EVP & CTO, Wiley [NYSE: JW.A]The field of enterprise content management (ECM) is evolving into a platform that touches every part of an organization in some way, shape, or form. In the next few years, data analytics and machine learning (ML) will play a huge part in how ECM advances. Namely, they will make content classification and content creation a more refined process that tailors material to better meet the needs of the user--all while giving businesses an opportunity to create novel digital products and solutions. ECM, particularly for digital content and media publishers, is becoming a must-have tool to maintain a competitive advantage. Delivering richer atomized content that garners more value for customers, partners and consumers can enable a business to bolster its function, lower solution development costs and diversify the company's product and services offerings. While some content companies have foundational capabilities in place for smarter content classification, it is the proprietary tools that organize content and enable ECM to connect the dots between seemingly unrelated materials that will deliver the best results for the customer. Those companies that combine ECM capabilities with ML and analytics will enable their system to identify patterns in their existing content to predict what the user needs, thus rapidly developing automated capabilities. But exactly how does this work? Is there a way to transform that information into a better product or service? Let's say there are millions of questions that are classified with learning objectives and millions of research articles with associated classification data. This data set, combined with the usage data, then becomes a highly valuable asset to accelerate the company's ML capability. ECM will be able to summarize content, automate mundane
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