Lucidworks Integrates IBM Watson into Fusion Enterprise Discovery Platform

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LucidWorks_LogoEnterprise search leader Lucidworks is tapping into the IBM Watson Developer Cloud platform for its Fusion platform, an application framework that helps developers to create enterprise discovery applications so companies can understand their data and take action on insights.

Today’s knowledge workers face an avalanche of data and documents. Lucidworks’ Fusion is an application framework for creating powerful enterprise discovery apps that help organizations access their information to make better, data-driven decisions. By integrating Watson, Fusion can deliver insights within seconds and can process massive amounts of structured and multi-structured data in context, including voice, text, numerical, and spatial data. Fusion’s platform upgrade with Watson reduces the work and time it takes to create enterprise discovery apps from months of in-house development to only weeks with Watson.

Watson is a powerful platform for companies and developers to build collaboration solutions and data analysis apps,” said Will Hayes, Chief Executive Officer of Lucidworks. “We’re bringing next-generation capabilities to enterprise discovery by embedding cognitive computing technology like Watson into our Fusion platform to transform how customers create discovery applications for today’s data-rich, fast-paced work environment.”

Customers can rely on Fusion to develop and deploy powerful discovery apps quickly thanks to its advanced cognitive computing features and machine learning from Watson. Fusion applies Watson’s machine learning capabilities to an organization’s unique and proprietary mix of structured and unstructured data so each app gets smarter over time by learning to deliver better answers to users with each query. Fusion also integrates several Watson services such as Retrieve and Rank, Speech to Text, Natural Language Classifier, and AlchemyLanguage to bolster the platform’s performance by making it easier to interact naturally with the platform and improving the relevance of query results for enterprise users. 

For example, a Fusion app could use Watson’s Speech to Text service to convert the end user’s natural language spoken query into text, sending it to the application. As the results are retrieved and served back to the end user, Fusion can use Watson’s Retrieve and Rank service to rank those results for maximum relevancy based on the end user’s persona, demographic, or previous behaviors. Additionally, embedding Watson, a cloud-based cognitive system, bridges the gap between on-premise and cloud based solutions by enabling customers to seamlessly query data in both locations.

Now, customers looking for hosted, pre-tuned machine learning and natural language processing capabilities can point and click their way to building sophisticated applications without the need for additional resources. By bringing Watson’s cognitive computing technology to the world of enterprise data apps, these discovery apps made with Fusion are helping professionals understand the mountain of data they work with in context to take action. 

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