As AI continuously evolves, managing data skills is a key element if you want to succeed in the fast-changing AI landscape. This blog post compiles the best management practices for large-scale AI projects.
We recently hosted a fireside chat with AI Singapore to discuss how they are developing an AI fluent nation with national upskilling programs.
Jeremaia came to us after a career change, going from marketing and entrepreneurship to webdesign, and now he works with us as a software engineering intern. Read on to find out how one man's knack for learning got him here!
By certifying job readiness for data roles, we’re helping learners progress from learning to earning and we’re helping employers find and recognize the data talent they need.
This Python cheat sheet is a quick reference for NumPy beginners.
Your organization is generating countless data points, and this data hides many actionable insights that can improve your company’s performance. Learn how to build a winning data-driven team that leverages the right data science skills.
In this post, we explore the life of Alan Turing, the long-lasting impact his work had on data science as we know it today, and in light of his memory the interactions between data science and the LGBTQ+ community.
The immense potential of data science and analytics is well recognized by businesses across all industries. But for these data science initiatives to succeed and scale, the data must first be relevant, accessible, and of high quality. This is where data governance comes in to set the right foundations for scalable data science.