If you are on social media or a regular blog reader, there is no way you can avoid articles about artificial intelligence. It is everywhere, and everyone has something to say about it. Before we go any further, it is critical to understand that not every AI system is advanced enough to cause societal disruption. The reason is that there are different AI types, and the capability of a system will depend on the design type. Who would have thought an AI system created by a startup could challenge a tech giant like Google?

Despite significant investment in AI, many companies are still struggling to stabilize and scale their AI initiatives, according to Dotscience. While 63.2% of businesses reported they are spending between $500,000 and $10 million on their AI efforts, 60.6% of respondents continue to experience a variety of operational challenges. This is evidenced by the fact that 64.4% of organizations deploying AI said that it is taking between seven to 18 months to get their AI workloads from idea into production, illustrating the slow, unpredictable nature of AI projects today. The State of Development and Operations of AI Applications 2019 report findings are based on a survey of 500 industry professionals. The research examines the AI maturity of businesses based on the practical business applications of machine learning, the tools and processes being used to develop, deploy and monitor machine learning models and the scalability and stability of their AI initiatives.