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 ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Intelligent organizations prioritize investments in machine learning and real-time data to ...

When Anomalo’s co-founders left Instacart in 2018, they thought they could put machine learning to work to solve data-quality problems inherent in large datasets. Five years later, the company’s idea ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation Machine learning models are becoming increasingly important in the prediction of economic crises. The models, however, use ...

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 ...

The combination of user data and AI often creates data feedback loops. This means that as a firm gathers more customer data, it can feed that data into machine learning algorithms to improve its ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Artificial Intelligence (AI) and machine-learning experts are warning against the risk of data-poisoning attacks that can work against the large-scale datasets commonly used to train the deep-learning ...