Auto Generating Digital Data Sources to Maximise Efficiency
Generating visual charts is an important part of any piece of journalistic or academic work, but finding the right data sources that have credibility and turning them into a visual representation takes up precious time that could be better spent in other areas of the article.
When a marketing and communication company came to us looking for ways to help them simplify this process, we set out to find the right solution by using A.I. technology to auto-generate the data sources they needed.
How Did We Do It?
Using state-of-the-art natural language processing techniques, our technology was able to select the data from the written content and sort it into predefined topics. Once this was done, the software could automatically build a data chart using key information from the reliable data sources provided.
We made sure that this software was accessible and easy to use for writers everywhere as it was implemented as a Chrome extension that would work automatically when working in a Google document. As writers worked, the software would provide graph options for the writer in real time which they could decline or accept as needed.
As a result, we were able to create a piece of software that was able to automatically generate simple charts and graphs based on a range of diverse topics from consumer price index to gross domestic products and more. It meant that writers could spend less time traversing the internet to finding reliable sources and turn them into visual graphs or charts, and could instead focus more on the quality and written content in their articles.
To find out what we did to create this software to generate data sources and make the jobs of writers much easier, click the link below to read our latest case study where we break down the entire process.
Read our latest case study here to find out how we carried out this process:
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