AI is the big idea, and machine learning is the engine that powers it Artificial intelligence (AI) is a broad term used to ...

Both fields are in high demand, pay well, and lead to exciting, future-proof careers. If you're deciding between becoming a data scientist or an AI engineer, the choice often comes down to what ...

SAP's Manos Raptopoulos on how companies can scale, innovate, and deliver exceptional value with the SAP Business Suite ...

The challenges in crafting education systems that balance AI and human connection extend beyond technology adoption alone.

Thanks to generative AI, we’re getting close to the promise of truly “democratizing” data. This means anyone can make decisions that are data-driven, not just highly skilled data scientists. Here ‘s ...

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 ...

2024 has been another year of unprecedented growth for AI and machine learning across the financial services industry, with a staggering 80% of trading firms now using this cutting edge technology. [1 ...

AI has become the center of many conversations among healthcare professionals looking to cut out inefficiencies and lessen administrative burdens for their practitioners. Here are three ways that ...

Here are 15 data management and data analytics technology companies, part of the CRN AI 100, that are playing an outsized role in AI today. “Without data, there can be no AI,” said Airbyte co-founder ...

Linux has long been the backbone of modern computing, serving as the foundation for servers, cloud infrastructures, embedded systems, and supercomputers. As artificial intelligence (AI) and machine ...

That's one of the most devastating statements a survivor can receive after the grueling journey of treatments, loneliness, and uncertainty that come with a cancer diagnosis. Sadly, the threat of a ...

Database Trends & Applications is excited to bring our community of data professionals together this May 13 - 15 in Boston for 3 days of practical advice, inspiring thought leadership, and in-depth ...