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An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictiveanalytics method of analyzing data. Gartner has stated that “artificial intelligence in the form of automated things and augmented intelligence is being used together with IoT, edge computing and digital twins.” Connected Retail.
Data Floq made this point clear in a post they made in 2016. Using predictiveanalytics to continually update business cards. Predictiveanalytics is one of the most useful advances in big data. Predictiveanalytics technology can be particularly useful in developing new business cards.
Reductions in the cost of compute and storage, with efficient appliance based architectures, presented options for understanding more deeply what was actually happening on the network historically, as the first phase of telecom network analytics took shape. Data governance was completely balkanized, if it existed at all.
enhances data management through automated insights generation, self-tuning performance optimization and predictiveanalytics. The ability to ingest hundreds of thousands of rows each second is critical for more and more applications, particularly for mobile computing and the Internet of Things (IoT).
It enables orchestration of data flow and curation of data across various big data platforms (such as data lakes, Hadoop, and NoSQL) to support a single version of the truth, customer personalization, and advanced big data analytics. Source: Big Data Fabric Drives Innovation And Growth, Noel Yuhanna, March 8 2016.
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