The blogosphere is full of descriptions about how data science and “AI’ is changing the world. In financial services, applications include personalized financial offers, fraud detection, risk ...

Deploying a machine learning model is not the same as developing one. These are different parts of the software development lifecycle, and often implemented by different teams. Developing a machine ...

Java is not the first language most programmers think of when they start projects involving artificial intelligence (AI) and machine learning (ML). Many turn first to Python because of the large ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Although R and Python are the dominant languages for developing AI and data science applications ...

As data scientist hiring continues to boom, many organizations report sustained difficulty finding, attracting and retaining data science talent. Even as initiatives to upskill quantitative ...

As businesses wrestle with ever-greater volumes of data, both generated within their organizations and collected from external sources, finding efficient ways to analyze and “operationalize” all that ...

Part 5 of CRN’s Big Data 100 includes a look at the vendors solution providers should know in the data science and machine learning tool space. As businesses and organizations strive to manage ...

Forbes contributors publish independent expert analyses and insights. I cover emerging technologies with a focus on infrastructure and AI This article is more than 5 years old. Enterprise ...

Data science and machine learning professionals have driven adoption of the Python programming language, but data science and machine learning are still lacking key tools in business and has room to ...

The blogosphere is full of descriptions about how data science and “AI’ is changing the world. In financial services, applications include personalized financial offers, fraud detection, risk ...