Recent advancements in machine learning have ushered in a transformative era for seismic data analysis. By integrating sophisticated algorithms such as convolutional neural networks (CNNs), generative ...

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 ...

Artificial Intelligence is growing fast, and professionals now need both data science knowledge and Generative AI skills. These programs teach solid technical basics along with fundamental GenAI tools ...

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 ...

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 ...

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 ...

Opinions expressed by Digital Journal contributors are their own. “In a world driven by data, my mission is to create innovative AI solutions that not only solve complex problems but also push the ...

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...

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 ...

The use of data analytics in sport, pioneered by the Oakland Athletics Major League Baseball team, and depicted in the movie “Moneyball”, has fundamentally changed how players are scouted, valued, and ...