Business Cloud News

Cloud data sharing conceptTibco has announced four new updates for its Spotfire, LiveView, community support and IoT offerings.

The company’s current focus is on leveraging analytics for augmented intelligence to discover new insights then productively share those insights across the enterprise in the shortest amount of time possible.

“Some in the industry would lead you to believe that computers are going to replace people. We think that’s dead wrong,” said Mark Palmer, SVP at Tibco. “Computers should serve to augment human experience and intellect. At Tibco, we focus our industry-leading visual, advanced, embedded and, streaming analytics solutions on delivering a pragmatic approach to cognitive computing, which we achieve by combining enhanced intelligence features with algorithmic automation capabilities.

“This combination encapsulates the essence of our Fast Data analytics platform – it balances human insight with intelligent technologies for superior productivity and a competitive advantage in end users’ respective markets.”

The Spotfire offering now includes self-service data preparation, management, and utilisation functionality to extend the platform’s analytics capabilities. The team highlighted the product requires no third-party coordination for data preparation, as the inline datawrangling functionality in Spotfire is built-in.

The company has also launched open source, BSD-licensed Accelerator package for Apache Spark and the IoT. The offering includes five subsystems; Connector, for edge connection to IoT and enterprise data; Digester, a stream data preparation layer; Finder, predictive model discovery template; Automator, a streaming analytics-based automation engine for Apache Spark; and Tracker, to monitor predictive models and automatically invoke model retraining.

LiveView now includes a code-free HTML5 operational-intelligence dashboard development platform for use with the Live Datamart. Finally, the team have introduced a new developer community space for sharing end-user-driven technical expertise, insights, and Wiki articles.

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