In this sponsored post, CafeX Communications explains why we need to engage visually, whenever possible and appropriate. These are sunny days for the business communications industry, with predictions ...

Machines don't need to draw charts and plots to work with data, but humans will still need datavis skills to work with ...

We all know how important data is. We need it to understand our business, drive performance, and enhance capital productivity. The upstream oil and gas sector is no different. But having information ...

Microsoft announced a new extension pack for Visual Studio Code that bundles tools for Python development, assisted by the AI-powered GitHub Copilot and a data wrangler. The new Python Data Science ...

All oil and gas companies have overwhelming amounts of dense, highly technical data, but filtering the noise for actionable insights is still a challenge for many in the industry. This webinar dives ...

It's not surprising that a data science/machine learning survey says most pros use a Jupyter-based IDE for their work, as Jupyter Notebooks (and Python) are pervasive in the industry. What might be ...

In the early days of email marketing, success was measured by simple metrics: Did the message get delivered, and did anyone open it? Fast-forward to today, and marketers are navigating an entirely ...

Data science can make robotic process automation more intelligent. Robotic process automation make it easier to deploy data science models in production. Robotic process automation (RPA) companies are ...