The Challenge of Machine Learning and How DevOps and the Edge Will Modernize Data Science - The New Stack

Except they only came to a few departments, mainly the traditionally IT ones. According to Luke Marsden, CEO and founder of Dotscience, enterprise-grade artificial intelligence (AI) and machine learning is being held back, in part, because the mathematicians and statisticians behind it are stuck in the days of Waterfall -- still emailing code back and forth to each other. Dotscience, a collaboration tool for end-to-end machine learning data and model management, recently ran a survey of enterprises. The resulting State of Development and Operations of AI Applications 2019 included results like how 63.2% of businesses reported they are spending between $500,000 and $10 million on their AI efforts. But 60.6% of respondents continued to experience operational challenges.