9 Steps Toward Ethical AI Few current laws address the use of artificial intelligence. That puts companies under greater pressure to reassure the public that their AI applications are ethical and fair. Read More Will the Real AI Please Stand Up? Make sure that your use of machine learning has more substance than hype. Here's a framework you can use to help you cut through the noise. Read More How to Assess Digital Transformation Efforts Not all organizations are succeeding with their digital transformation efforts. For one thing, the focus of their success metrics may be too narrow. Read More The Basics of CI/CD for Data Science and Machine Learning Continuous integration and continuous deployment are IT practices that encourage testing code often. Learn how these practices also shape data-driven initiatives. Read More How to Deploy Your Data Science Team Across the Business The crux of the problem in deploying a data science team is aligning the technical knowledge of a team to the needs of the business and choosing an alignment that offers the greatest impact. Read More |