Whilst data is rapidly becoming the world’s most valuable resource, it would seem there are very limited ways of assessing and quantifying the value of any set of data.

Business September 2, 2020

Fairness and algorithmic biases in machine learning and recommendations to enterprise.

Research August 25, 2020

Fairness and biases in machine learning and their impact on banking and insurance.

Business July 8, 2020

Legal consensus regarding biases and fairness in machine learning in Europe and the US.

Business June 23, 2020

Automated large-scale privacy-preserving data rebalancing for banking and insurance.

Research May 10, 2019

Usefulness of accurate synthesized data for enterprise data science and business intelligence.

Business March 10, 2020

Synthesized raise $2.8M in seed funding led by IQ Capital and Mundi Ventures to disrupt enterprise data strategy.

Business April 6, 2020

Shipping disruptive ML/AI products at scale (not papers)

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Limitations of Current Data Quality Solutions and (Statistical) Data Quality Assessment