The danger is that these algorithms, which are trained on data produced by people, may reflect the biases in that data, perpetuating structural racism and negative biases about minority groups.

Biopharmaceutical company Boehringer Ingelheim is using data and more to drive organizational change and has outlined four ...

The age of Big Data has generated new tools and ideas on an enormous scale, with applications spreading from marketing to Wall Street, human resources, college admissions, and insurance.

Big Data engineering, when approached strategically, becomes a core enabler of robust data privacy and security.

In it, she raises a rarely discussed worry about big data — not only is it subject to our biases, but it can also actually legitimize and amplify them. An algorithm, she argues, can totally be ...

Products will be defined by the sophistication of their algorithms. Organizations will be valued based not just on their big data, but the algorithms that turn that data into actions and ...

As computing power has increased and data science has expanded into nearly every area of our lives, we have entered the age of the algorithm. While our personal and professional data is being ...

The amount of data we generate is exploding, and the ability to analyse large amounts of data is a key differentiator for businesses seeking to gain competitive advantage. Opera Solutions is one ...

One of the leading big data algorithms for finding related topics within unstructured text (an area called topic modeling) is latent Dirichlet allocation (LDA). But when Northwestern University ...

The danger is that these algorithms, which are trained on data produced by people, may reflect the biases in that data, perpetuating structural racism and negative biases about minority groups.