In the modern world, every organization is propelled forward by data. As organizations continue to collect more data, the need to manage the quality of the data has becom...
The majority of companies choose to outsource their ML solution. It makes sense since AI development demands unique and hard-to-obtain expertise and experience. That is w...
In today’s world, data have become an organization’s most valuable asset. But, not all data is valuable. If organizations work with untrustworthy data, it can eas...
Companies in every industry—and across the IT landscape—are being transformed by automation and analytics, which is why qualified data scientists are in higher demand...
Data observability is an exploding category, and it seems like tools are getting invented, announced, and funded on a weekly basis. Poke around, though, and you’ll noti...
The probability distributions introduced in this article generalize what is known as infinite convolutions of centered Bernoulli or Rademacher distributions. Some of them...
Continuing on the theme of AI ethics from my previous blog, Could an AI ethics audit end up like GDPR?, we have in the UK, proposals for an Accountability for Algorithms ...
One key challenge to a successful data and analytics strategy is gaining consensus and alignment between the business and data science (data & analytic) stakeholders ...
With more than 40.000 searches happening in Google per second, Google Trends is a powerful tool that allows us to visualize searching behavior and uncover trends in Web S...
You probably already know that facial recognition technology is getting both more popular and more affordable for businesses. We’ve already created a bunch of articles ...