Internet of Things Personified: Integration and Automation

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Adopt a Human-Hybrid Approach

Employ new artificially intelligent technologies to absorb and analyze Big Data, and adopt new ways of working symbiotically with machines. Rote tasks performed in repetition, monitoring mind numbingly dull systems, even some highly skilled “knowledge” jobs involve doing the same thing again and again – quarterly financial reporting, for example. The introduction of artificial intelligence technology in the workforce will automate the analysis of data and then communicate key insights in an easy to understand way – all in real time.

The new era of interconnected life is here. And, as our technology advances, we are surrounded by more and more sensors gathering data — allowing our machines to speak to each other and speak to us via the Internet of Things (IoT).

Data is being generated faster than any one person or company is able to analyze it. In fact, less than 0.5 percent of all data is ever analyzed. The real problem lies in the shortage of experts who have the ability to analyze, unlock, and communicate its value. Automation and natural language generation platforms are able to solve the data capacity crisis by gleaning actionable insights in the most efficient and effective way.

The real value that the IoT brings is at the intersection of gathering data and leveraging it. We need to analyze that data, often in real time, if we are to extract its value, and then we need to communicate the results of that analysis to those who can make use of it and take action. In this slideshow, Matt Gould, chief strategy officer of Arria NLG, a global leader in the development and deployment of natural language generation (NLG) software technologies, advises on the benefits and path needed for successful IoT data analysis.


Related Topics : Vulnerabilities and Patches, Resellers, Broadcom, Broadband Services, Supercomputing

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