Accelerate AI development on any framework using best-in-class infrastructure.
Oracle’s AI approach transforms people and organizational productivity, efficiency, and insight, economically, and at scale. Oracle embeds human-reasoning techniques in every layer of the cloud, improving automation. And it provides data scientists with the tools, frameworks, and state-of-the-art infrastructure to rapidly build, train, and test machine-learning models. The platform also leverages three unique Oracle strengths that are critical to successful model development: contextual enterprise data, advanced data and analytics management, and a high-speed cloud infrastructure.
Developers can easily integrate trained models into a wide variety of Oracle Cloud application environments, including sophisticated, conversational, AI chatbots. For analysts and data scientists, the platform’s discovery and visualization tools provide an interactive and nonprogrammatic way to support validating models. The Oracle AI platform also increases productivity for scientists, engineers, and analysts as they experiment and innovate with larger datasets.
There are key enterprise challenges that customers face:
To address these challenges, Oracle is uniquely providing the key elements for AI enablement.
Oracle AI Platform Cloud Service allows developers and data scientists to quickly set up a complete environment for developing ML models. It enables them to use their preferred frameworks and tools running against class-leading GPUs on a 25 Gb network to accelerate data aggregation and model training.
Chatbots enable automated human and computer conversations using voice and text. Service and help desks are often overwhelmed with requests and can be unresponsive. Chatbots can eliminate the backlog by enabling automated responses and then handing off to human agents when necessary, thus increasing user satisfaction. Oracle Intelligent Bots include five core AI capabilities: ML, cognitive services, knowledge services, dialog and context, and data and insights. A pipeline of AI algorithms collectively works to understand and process the end user’s input expressed in freeform natural language. In addition, additional algorithms are used to support language translation, image recognition, sentiment analysis, and more. The solution provides a framework for rapid development, usability effectiveness, and ongoing learning. Oracle Intelligent Bots is part of the Oracle Mobile Cloud Enterprise platform and will be integrated into Oracle SaaS applications.
Oracle provides high-performance data management and ML compute instances for industry-leading price performance of AI-based applications. Using Oracle Exadata and big-data platforms, Oracle’s ML and advanced analytics capabilities deliver high-performance ML algorithms for both for both structured and unstructured data. Using these powerful data-management and advanced analytics/ML platforms, Oracle dramatically reduces the time to build and deploy enterprise predictive models and applications from weeks/months to minutes/hours.