The six new AI services are fully managed parts of Oracle Cloud Infrastructure, and can be pre-trained on business-oriented data or trained in-house on an organization's own data. "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.
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