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OCI Forecasting is a predictive analytics tool for forecasting a variety of business metrics, like revenue, resource requirements, product demand and more.Other use cases involve fraud detection, equipment failure prediction and anything else relying on detections of small anomalies to establish trends. It has several APIs and SDKs for integration with a variety of programming languages in order to cover a variety of business applications.
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"As a result, companies spend valuable time and resources when they need AI that's consistent, responsive and capable of working in their business applications and operational environments to deliver actionable results," Oracle said. Implementation issues like a scarcity of data science expertise, difficulty in properly training AI models, breaking down data silos or simply getting products to work in a live environment are all major reasons why more organizations haven't leapt into larger AI products, Oracle said. SEE: Digital transformation: A CXO's guide (free PDF) (TechRepublic) For many companies, these new services from Oracle are the sort of thing that could help reach their AI goals. "It's essential for organizations to bridge the gap between the promise of AI and implementing AI that helps them achieve real results," Pavlik said. Many companies take on AI projects without knowing how to actualize their concepts, said Oracle Cloud Platform CTO Greg Pavlik. Artificial intelligence ethics policy (TechRepublic Premium).Photos: 9 best tasks humans have offloaded to robotic helpers.Deloitte: Top business use cases for AI in 6 consumer industries.Gartner: AI will be ready for prime time sooner than you think.
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