Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

As logistics networks grow more complex, warehouse leaders are often inundated with data but lack clarity on where to focus. Easy Metrics AI Agents address this challenge by using artificial ...

The study identifies a less visible but increasingly important countertrend: the rapid growth in energy consumption driven by AI itself. Training large machine learning models, running continuous ...

Artificial Intelligence and Data Science are among the fastest-growing and most transformative domains in technology today, driving innovation across industries such as healthcare, finance, retail, ...

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 ...

In an era where data has become one of the most valuable assets for organizations, protecting that data is a strategic ...

AI-enabled vision systems are rapidly emerging as a transformative force in yard and warehouse management. These systems combine industrial 3D cameras, advanced machine vision software, and AI-driven ...

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 ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

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 ...