As artificial intelligence (AI) and machine learning (ML) initiatives reshape critical sectors, CXOs need to understand the ethical issues of using AI and ML at their operations. ZDNet and TechRepublic published a PDF ebook: Managing AI and ML in the enterprise 2020, which examines how companies manage, benefit from, and make ethical decisions regarding their AI and ML usage. Artificial intelligence projects are a top priority for many companies, but there are plenty of potential pitfalls for the unwary. Learn more in ZDNet's Daphne Leprince-Ringuet's feature "AI for business: What's going wrong, and how to get it right." How to approach cost justification, identify ROI, and avoid implementation missteps for AI/ML initiatives is the topic of TechRepublic contributor Mary Shacklett's article, "The true costs and ROI of implementing AI in the enterprise."

Emerging technologies such as Artificial Intelligence (AI) and machine learning (ML) projects are well underway but concerns remain for CXOs regarding these initiatives. To better understand how enterprises manage their AI/ML projects, Tech Pro Research conducted an online survey in March 2019. According to the survey, 56% of respondents feel implementing AI/ML projects will be more difficult than previous IT projects. The survey asked the following questions: Who is requesting your AI/ML projects? What is your AI/ML project approach?