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Arcadia Data Embeds Search in Big Data Analytics App - RTInsights

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Arcadia's update makes it possible for end-users to query all the data stored in Hadoop versus requiring IT organizations to prepare datasets. Another step towards eliminating the need to ask IT staff to query data is being made today with the addition of a search interface based on a natural language engine that is being added to a Big Data analytics application from Arcadia Data. A forthcoming release of Arcadia Enterprise, due out in the fourth quarter, will make it possible for end-users to query all the data stored in Hadoop versus requiring IT organizations to prepare datasets for them to query using rival self-service business intelligence and analytics applications, says Dale Kim, senior director for products and solutions at Arcadia Data. See also: Hadoop data in the dark? Instead, end users can make use of a Google-like search engine experience to not just query Arcadia Enterprise, but also build their own dashboards using visual tools built into Arcadia Enterprise, adds Kim.


Are you ready to embrace the cognitive organisation? -

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Digital transformation is a process that has been underway for some time. It is a wide-ranging overhaul of the way organisations do business both internally and externally. It includes changes to technology and culture from users to developers, operations teams to the C-Suite. On the technology side, organisations have taken advantage of APIs to integrate with suppliers and key customers. This removes paper from the workflow reducing both delays in entering data and the risk of keying errors.


Enterprise analytics benefits of natural language processing

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Natural language processing is found everywhere in the enterprise. Employees use virtual assistants on their phones or type plain English queries into online search engines, and chatbots handle basic customer service requests. But the technology has been slower to move into enterprise applications. In analytics, natural language processing shows up in two main areas. The first is in processing data to be analyzed.


Natural Language Access to Enterprise Data

AI Magazine

This paper describes USI Answers — a natural language question answering system for enterprise data. We report on the progress towards the goal of offering easy access to enterprise data to a large number of business users, most of whom are not familiar with the specific syntax or semantics of the underlying data sources. Additional complications come from the nature of the data, which comes both as structured and unstructured. The proposed solution allows users to express questions in natural language, makes apparent the system's interpretation of the query, and allows easy query adjustment and reformulation. The application is in use by more than 1500 users from Siemens Energy. We evaluate our approach on a data set consisting of fleet data.


Natural Language Access to Enterprise Data

AI Magazine

We report on the progress toward the goal of offering easy access to enterprise data to a large number of business users, most of whom are not familiar with the specific syntax or semantics of the underlying data sources. Additional complications come from the nature of the data, which comes both as structured and unstructured. The proposed solution allows users to express questions in natural language, makes apparent the system's interpretation of the query, and allows easy query adjustment and reformulation. The application is in use by more than 1500 users from Siemens Energy. We evaluate our approach on a data set consisting of fleet data.