We exist in a world where data is everywhere, not just data but an augmented data. Digging through this data is challenging but enforceable with the right tools. Today, a...
Automated machine learning (AutoML) signifies a fundamental shift in how organizations of all sizes strategy machine learning and information science. Implementing conven...
The gender gap in technology is real. As per the World Economic Forum, women represent just 22% of AI professionals worldwide. It is vital to address the gender diversi...
Data is the lifeline of every business, and it is invaluable for your past, present, and future business decisions. Irrespective of the size of your organization you need...
Source: here There are numerous examples in machine learning, statistics, mathematics and deep learning, requiring an algorithm to solve some complicated equations: for i...
Perhaps most organizations already know what to do with the data gathered. The data is used to make better decisions at work, right? But do you have all the skills needed...
The biggest surprise for me in the “Measuring trends in Artificial Intelligence” from Stanford University (a must read BTW) is a section on measuring progr...
Image source As software developers, we are responsible not only for ensuring that all the features we program into our apps work as designed, we also need to make sure o...
Artificial Intelligence (AI) is all the buzz with everyone looking for ways to leverage AI in some capacity within their organization. Whether you’re running a business...
The need to digitize or reach customers online has gained momentum due to the current Corona Pandemic. An important cornerstone for digital customer control is the topic ...