Algorithmia: 50% of companies spend over 3 months deploying a single AI model

Incorporating AI and machine learning technologies into everyday workflows isn't as easy as the testimonials would have you believe. That's the top-level finding from a survey of 750 business decision makers conducted by Algorithmia, which found that while machine learning maturity in the enterprise is generally increasing, the majority of companies (50%) spend between 8 and 90 days deploying a single machine learning model (with 18% taking longer than 90 days). Most peg the blame on failure to scale (33%), followed by model reproducibility challenges (32%) and lack of executive buy-in (26%). "The findings of our 2020 [State of Enterprise Machine Learning] study are consistent with what we're hearing from customers," said Algorithmia CEO Diego Oppenheimer. "Companies are growing their investments in machine learning, and machine learning operationalization is maturing across all industries, but significant room for growth and improvement remains. The model deployment lifecycle needs to continue to be more efficient and seamless for ML teams. Nevertheless, companies with established ML deployment lifecycles are benefiting from measurable results, including cost reductions, fraud detection, and customer satisfaction. We expect these trends to continue as ML technologies and processes arrive to market and are adopted."