Redwood City‚ Calif. – February 28‚ 2017 – C3.ai today announced Version 7 of its enterprise software platform for big data‚ predictive analytics‚ artificial intelligence (AI)‚ and Internet of Things (IoT) applications‚ with new tools and enhancements that significantly increase the productivity of application developers‚ data scientists‚ and business analysts by enabling them to all work on the same framework. This productivity improvement reduces companies’ IT expenditures and speeds time to market of predictive analytics software applications that perform AI and machine learning at scale to recommend actionable business insights and facilitate digital transformation.
According to a Forrester Research report written by Vice President and Principal Analyst Mike Gualtieri‚ “Enterprise interest in AI is surging… We expect enterprise interest in‚ and use of‚ AI to increase as software vendors roll out AI platforms and build AI capabilities into applications. Enterprises that plan to invest in AI expect to improve customer experiences‚ improve products and services‚ and disrupt their industry with new business models.”
“C3.ai successfully addresses a number of challenges that have plagued enterprises in the past with respect to traditional approaches to Machine Learning‚” said Holger Mueller‚ Vice President and Principal Analyst‚ Constellation Research. “With C3.ai‚ data remains in place‚ gets automatically updated and refreshed‚ and thus Machine Learning capabilities are no longer the domain of a small clique of advanced users. Business users are empowered to create their own Machine Learning-powered analytical applications and can plug them in to transactional applications as needed.”
Version 7 of the C3 Platform is rolling out to enterprise customers worldwide in Q1 2017 with advanced capabilities spanning five elements of the C3 Platform – data science tools‚ artificial intelligence algorithms‚ application development tools‚ edge analytics‚ and platform administration – that increase user productivity and accelerate the delivery of AI and IoT applications.