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Explorance Launches General Availability of Explorance BlueML and Free Personalized Feedback Analytics Report to Help Human Resource and Academic Leaders Build a More Robust and Agile Workforce

 Explorance, the leading provider of People Insight Solutions, announced the general availability (GA) of Explorance BlueML, and the start of a special free offer for the award-winning workforce and student sentiment analysis solution.

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An industry leading machine learning (ML) tool trained on employee and student responses, BlueML delivers actionable insights from large datasets of comments and feedback in minutes. Eliminating the need for time-consuming manual review and data organization processes, businesses and academic institutions gain a clearer look at employee and student needs and expectations, while also informing proactive measures to support a more satisfied, engaged, and well-trained workforce or student body.

Furthermore, the Explorance machine learning algorithms support the elimination of human bias in reviewing large data sets. MIT News reported that a team of researchers from MIT and Harvard found that training machine learning models on diverse sets of data can help the models reduce bias. Data sets that contain limited data are much more likely to discriminate when they make decisions. Supporting this concept, BlueML applies a consistent interpretation for every piece of employee and student feedback, ensuring standard and equal categorization even when analyzing thousands of feedback comments.

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“Most organizations are unaware that they are sitting on a large source of untapped feedback datasets that can help improve their people’s overall experience and career journey,” said Samer Saab, Explorance Founder and CEO. “With BlueML, organizations can now bring to light the uncommon connections, and deep insights, about employees or students, that are otherwise, not easily accessible. With automated and intelligent analysis, the time and effort it takes to unlock data-driven decisions is significantly reduced, empowering organizations to act by evidence and not by assumption.”

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[To share your insights with us, please write to sghosh@martechseries.com]

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