Internet of Things Personified: Integration and Automation

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Support Infrastructure for IoT Data Analysis

Adapting to changes in technology can affect many aspects of the business – day-to-day tasks, organizational structure and general operations. While many see the long-term benefit of the change, some may struggle to see it in the short term. The first step to supporting new technology is being able to properly identify analytical tasks and functions involving high levels of data analysis. The next step is evaluating human resources to reconfigure a more productive and effective working environment.

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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