Sentence examples for machine-generated data from inspiring English sources

Integrate machine-generated data to personalize interactions.

His team's product gathers, processes, indexes, searches over, reports on and visualizes massive streams of machine-generated data.

The DeepGlobe Challenge organizers have developed a number of algorithms for measuring the accuracy of machine-generated data that they can use to assess each of the entrants.

By integrating new sources of machine-generated data, and combining it with traditional data sources, firms can further personalize their customer interactions.

One of its forecasts is that machine-generated data will increase to 42 percent of all data by 2020, up from 11 percent in 2005.

"My smartphone produces a huge amount of data, my car produces ridiculous amounts of really valuable data, my house is throwing off data, everything is making data," said Erik Swan, 47, co-founder of Splunk, a San Francisco-based start-up whose software indexes vast quantities of machine-generated data into searchable links.

Machine-generated sensor data will be become a far larger portion of the Big Data world, according to a recent report by IDC.

Splunk searches, monitors, and analyzes machine-generated big data via a web interface and can generate graphs, reports, alerts, dashboards, and visualizations.

Splunk software is used for searching, monitoring, and analyzing machine-generated big data via a web-style interface.

Similar to Splunk, which has IPO'd, LogEntries collects and analyzes huge quantities of machine-generated log data, helping companies track their application logs.

Table 6 Clusters of dimensions for machine-generated big data sources Cluster References Accuracy [38] Completeness, Significance [38] Consistency [38, 47] Trustworthiness [38] Freshness [38] Dimensions in italic are representative of the cluster.