cray
As AI gains traction, organizations are realizing that only larger-scale, enterprise-wide deployments are likely to provide full access to the operational and economic benefits of these new technologies.
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Ubuntu
Artificial intelligence and machine learning (AI/ML) have stolen the hearts and minds of the public, the press and businesses. The technological advances in the field have helped to transport AI from the world of fiction, into something more tangible, and within touching distance. However, despite the hype, AI in the ‘real world’ isn’t quite yet a reality.
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Mule 3.4 introduces a host of new functionality and improvements aimed at allowing your business to run seamlessly both on-premise and in the cloud. We’ve simplified SaaS integration and API publishing capabilities, streamlined our enterprise grade runtime for scalability and performance and added enhanced data mapping and flow debugging to further improve developer productivity. Join Reza Shafii, Director of Product Management at MuleSoft, for a demonstration of these new features in action.
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Gartner
How data science and machine learning fit with the organization's existing analytics portfolio How your organization can operationalize models driven by data science and machine learning This webinar covers a high-level introduction to data science and machine learning and their potential in a data-driven organization. Learn key trends and concepts, proven use cases and an overview of leading technologies.
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