In today’s fast-changing data landscape, having a strong data system and advanced analytical tools is key to getting valuable insights and staying ahead of the competition. The data lakehouse ...

Often, students feel confused about career choices and wonder whether they should study Web Development, Data Analytics, or Machine Learning. Each field has its own importance, but it is better to ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...

Data analytics and machine learning can deliver real business value, but too many projects miss their mark. Here are seven mistakes to watch out for, and what to do instead. Foundry’s State of the CIO ...

Microsoft Azure’s new, unified data platform aims to be your one-stop shop for analytics and machine learning at scale. Tracking the annual flurry of announcements at Microsoft Build is a good way to ...

Artificial intelligence is inescapable nowadays. There’s generative AI to create an ad and AI platforms to manage campaigns. Your refrigerator and maybe even your toothbrush have AI embedded in them.