Cloud Coaching - AI on Oracle Cloud

Cloud Coaching - AI on Oracle Cloud

Welcome to our session today. I am [Your Name] from The Specialist Team and I'm accompanied by my colleague Carlos who is also from the Innovation Enablement team. Today, we will be exploring the various AI capabilities available on Oracle Cloud and demonstrating how to train an Oracle AI Cloud Service model effortlessly.

Oracle’s Legacy in AI

Oracle has a rich history in machine learning, having incorporated it into applications and databases for decades. Products like MySQL Heatwave, Oracle Autonomous Database, NetSuite, and Oracle ERP all integrated AI from the beginning. Initially, our customers benefited from these AI capabilities without being explicitly aware of them.

Recently, Oracle has made AI capabilities on Oracle Cloud accessible to data scientists for improving business experiences and workflows. This enables users to utilize our AI capabilities beyond just embedded Oracle features.

AI Services on Oracle Cloud

Data Labeling

Oracle Cloud Infrastructure’s Data Labeling service helps developers and data scientists assemble data, create and browse data sets, and apply labels to data records through user interfaces and public APIs. These labeled data sets can be exported for model development across Oracle's AI and data science services, enhancing model-building experiences.

Vision Services

Analyzing Images

Detect objects and bounding boxes inside images using managed services. You can bring your own labeled data or use Oracle’s Data Labeling Service to create custom labeled datasets for custom models.

Document Understanding

This service allows understanding scanned PDFs, forms, and images by extracting textual information. It handles various scenarios such as printed or handwritten text, tilted, shaded, or rotated documents. It includes language detection, table extraction, and key-value extraction for fields such as invoices and receipts.

Simple Steps to Create Custom Models

Creating custom models involves collecting data, cleaning it, uploading it to an object storage bucket, creating a dataset from it, adding labels, creating an AI project, training the model, and finally using it.

Demo by Carlos

Carlos demonstrates using AI services for vision and document understanding. He showed how easy it is to create data sets, train models, and use them for specific needs. From data labeling to custom AI project creation, Carlos emphasized AI's potential in various business operations.

Integration with Other Services

We can invoke these AI services from various platforms like web apps, mobile apps, and other Oracle products such as Oracle Digital Assistant. Demonstrated by executing a bot to process expense reimbursements, showing real-time AI service integration to fetch and process data.

Generative AI in Oracle Cloud

Oracle’s generative AI capabilities are expanded throughout its application portfolio, including ERP, HCM, and CX applications. With recent partnerships with Nvidia and Cohere, Oracle is continuously innovating in generative AI solutions, including multilingual capabilities.

Oracle uses advanced AI features like SQL Dialogues and Knowledge Documents in its products. SQL Dialogues convert natural language into SQL queries, and Knowledge Documents allow quick creation of FAQs from various document types without coding—showcasing Oracle's longstanding use of AI features.

Conclusion

Oracle’s AI and machine learning services in Oracle Cloud are designed to improve business processes significantly. With decades of AI integration experience, Oracle continues to innovate, enabling automated intelligent solutions across various applications and industries.

Keywords

• Oracle Cloud
• AI Services
• Data Labeling
• Vision Services
• Document Understanding
• Custom Models
• Generative AI
• SQL Dialogues
• Knowledge Documents
• Nvidia
• Cohere

FAQ

Q1: What are Oracle’s AI capabilities in its cloud applications? A1: Oracle’s AI capabilities include data labeling, vision services like image and document understanding, and creating custom models. Generative AI features such as SQL Dialogues and Knowledge Documents are also embedded.

Q2: How does Oracle Data Labeling service work? A2: Oracle Data Labeling service allows users to assemble data, create datasets, and apply labels via user interfaces or public APIs. The labeled datasets can then be exported for model development within Oracle’s AI and data science services.

Q3: Can Oracle AI Services be integrated with other platforms? A3: Yes, Oracle AI Services can be integrated with various platforms like web apps, mobile apps, and products such as Oracle Digital Assistant.

Q4: What are SQL Dialogues and how do they work in Oracle Digital Assistant? A4: SQL Dialogues convert natural language into SQL queries, enabling users to interact with databases conversationally. It automatically generates SQL from user queries to fetch and display data accordingly.

Q5: How does Oracle leverage generative AI? A5: Oracle leverages generative AI through partnerships with Nvidia and Cohere, integrating AI services across ERP, HCM, and CX applications with a focus on multilingual capabilities and innovative, intelligent solutions across its application portfolio.