Sentence examples for extracting insights from data from inspiring English sources

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In an era where enterprise-generated data is expected to exceed 240 exabytes daily by 2020, the need for experts trained in extracting insights from data is more important than ever.

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This covers an introduction to the more advanced and computational data mining and machine learning approaches to extract insights from data, as well as create data products such as recommendation engines and other predictive models.

These are SaaS tools that make work more effective, not just by extracting insights from the data you provide but by seamlessly integrating those insights into your daily workflow, creating a level of machine intelligence assistance that feels like "magic".

Making sense of DNA data is a two-step process, namely the biochemical-sequencing of the DNA and the analyzing and extracting insights from the sequenced DNA data.

Rather than finding and hiring people to collect these datasets, a project could be started that allows anyone to collect and share this data, annotate the data, and build different models to extract insights from the data.

KeyReply – Uses natural language analysis to extract insights from unstructured data, specifically to help customer support and customer service teams work more efficiently.  .

For a citizen being able to visualize multiple datasets and to analyse and extract insights from them, the data first needs to be harmonized.

As a rule, BSD is mainly utilized to extract insights from social media data and online social interactions of people for descriptive or predictive purposes to influence human decision-making in various application domains [16 18].

For background, Mason was Bitly's chief scientist since 2009 and specializes in building systems that help analyze data and extract insights from the social web in real time.

With analytic tools that support rapid model deployment and refinement, organizations can keep trying different ways to extract insight from the data they do have to make better predictions, even when key information is missing.

The company also wants to use data science and natural language processing techniques to "help extract insights from the millions of pages of law and thousands of contributions to enhance our users' understanding of the law".

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