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 ...

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 ...

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.

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

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.

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 ...

"Products and services will be defined by the sophistication of their algorithms and services," says Sondergaard. "Big data is a myth – it's about how you use the data, which comes down to ...

"It is very likely, however, that big data and algorithms will expand the activities that give rise to concerted practices." Sims went on to present a hypothetical scenario wherein a machine ...

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.