Splice Machine, a startup that offers offline and batch analysis tools to power intelligent apps for operational workflows, today launched version 3.1 of its platform. Splice Machine 3.1 introduces new features and functionality to support enterprises with real-time AI projects, including resource elasticity support on Kubernetes, GPU support, and extensions to Spark's machine learning libraries. Most companies struggle to develop working AI strategies. According to a recent survey by Rackspace, only 20% of enterprises report having mature AI and machine learning initiatives. Indeed, while Deloitte says 62% of respondents to its corporate October 2018 report deployed some form of AI, roughly 25% of companies see half their AI projects ultimately fail.