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Most data is raw and needs to be shaped into usable features that highlight signal and minimize noise. “Feature engineering” is the most important part of real-world data science, paving the path from raw data to valuable insights.

Act 1: I have my data; now what?

Many companies have begun storing every piece of data they can think of in order to tap into secret insights about their customers, products, processes, and financial metrics. Data collection is the new gold rush, and every piece of data may be mined for useful information. However, the path from raw data to valuable insights isn’t always clear, leaving many companies to collect data without a plan for the future. …

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Speech and video analytics to characterize human behavior

Authors: Jonathan Gallion, Michael Bell

We are constantly sending signals that communicate emotion, intent, and even underlying medical conditions. These signals can take the form of facial macro and micro expressions, variations in posture and body movements, as well as minute fluctuations in vocal pitch, frequency, and pronunciations. AI is now at a point where we can read and interpret these signals for both business and health care purposes.

Ongoing development of digital diagnostics and increased adoption of telemedicine technologies are opening doors to extract visual, auditory, and text-based biomarkers that point toward diagnoses, both mental and physical, to improve patient access and outcomes. Beyond healthcare, the current acceleration in the adoption of video-based conferencing and recruiting also creates the opportunity for interesting applications and the development of novel datasets outside of medicine and research. …

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