The four habits of highly effective organisations in AI
The habits organizations adopt in how they approach artificial intelligence have the power to speed them to its use – or to slow them down.
The habits organizations adopt in how they approach artificial intelligence have the power to speed them to its use – or to slow them down.
If you were going to diagram a production machine learning pipeline, the beginning — designing and training models, etc. — would obviously belong to the
Academic life is very different from the business world. Help your data scientists understand what’s expected of them. I once watched an interview of a
You’re a data scientist, but you didn’t end up in the data science industry. Are you worried about not making it? Fret not, we’ve got
Data is everywhere: whether you choose a new location for your business or decide on the color to use in an ad, data is an
In the latest McKinsey Global Survey on AI we noted a significant year-over-year jump in companies using AI across multiple areas of the business. And
In business, the buzzword ‘AI’ is thrown around frequently. Even people with baseline knowledge of technology often mix it up with simple automation, statistical tests
As engineers, we face a time of rapid technological advancement of the tools available to us. While we spend our days innovating our designs, our
Many more technically minded people are not naturally adept at speaking in front of people or communication in general. Refining our communication skills as engineers takes
Big data is approaching and it’s here to stay, so the best tech companies are looking for better and faster ways to leverage all that
The digital twin is so much more than just a piece of virtualization software. It’s essentially a data switchboard for digital ecosystems, consisting of manufacturers,
large volumes of clean data. Extracting, cleaning, and moving data is not really the role of a data scientist, but rather that of a data