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Enterprise Personalized

The rise of machine learning-based personalized discovery features over the past few years is one of the biggest stories of IT. The statistics are truly staggering. For example, even as of several years ago, over 30% of Amazon’s sales were reportedly due to their personalized recommendations—the figure is no doubt even higher now. LinkedIn has reported that fully 50% of their users’ connections, group memberships, and job applications are driven by their personalized discovery features. And 75% of what people watch via Netflix is due to personalized recommendations. In addition, of course, targeted advertisements can be considered a form of personalized recommendations, as can personalized search, both of which have largely replaced their non-personalized precursors.

So in the consumer world automatic personalization has become an indispensable feature for users and a competitive imperative for providers. What about in the enterprise? Not so much—until now, that is. I wrote The Learning Layer to lay out the path toward making adaptive, personalized discovery a core feature of enterprise IT, and we at ManyWorlds are excited that our Synxi-brand technology is now making that vision a reality!

We are delivering adaptive discovery apps for the major social platforms that continuously learn from users’ experiences and apply this learning to provide users with real-time, personalized recommendations of knowledge and expertise, and which are sensitive to the context of their current activities. Even better, we also have connectors among these apps that extend a layer of learning across platforms. That means users can receive cross-contextualized and personalized recommendations of knowledge and expertise from one platform (e.g., SharePoint) based on what they are doing in another platform. And finally, we have booster products for enterprise search that enable search results to be personalized and/or additional personalized content to be recommended based on the context of a specific search result. That provides users, for the very first time, an enterprise search experience that tops the search experience internet search providers can deliver.

These learning layer technologies are collectively leading toward enterprises becoming truly personalized. And an enterprise personalized is an enterprise that is more productive, as well as being an enterprise that is more compelling to be a part of and to work with.