Parul Gupta, software engineer, led the Data Summit's session, 'Realizing the Promise of Machine Learning,' taking a look at the nuances of AI fairness and bias, and how constraints will play a major ...

Given that this demographic has both spending power and a willingness to engage if they are given products that recognise ...

Their experiences offer practical models for the majority of colleges and universities still formulating their AI strategies.

To get the most from artificial intelligence without falling prey to the risks, your company must implement a governance, ...

The best wealth managers in the next decade won’t be those who rely on gut instinct, but rather the ones who utilize AI to ...

The fast pace of technological development can make it difficult to understand how AI could be applied and what its benefits ...

While Quantum computing has been reported to be five years away for many years now, companies are preparing for it by setting ...

The reality of engaging with generative AI in today’s world is that AIs live and breathe through text. The better your ...

By thoughtfully and intentionally categorizing AI tools, organizations can tailor their approach to avoid excessive focus on ...

Imagine an AI model that can use a heart scan to guess what racial ... even when no one explicitly programs them to do so. One major source of bias is imbalanced training data. If a model learns ...

Hise Gibson breaks down the key problems companies face in adopting and scaling AI, and offers advice for resolving them ...

Police forces can demonstrate they work with suppliers which test their models independently to confirm accuracy, non-bias ...