Webinar Description

This session explores the transformative capabilities of Oracle AI Database, such as AI Vector Search, Select AI, Graph, JSON Duality, and others. These Oracle innovations are driving the future of AI-enabled data management and analytics for our customers in flexible multicloud and hybrid cloud solutions.

Key topics covered: Oracle AI Database features including JSON Duality, Graph, AI Vector, Select AI, multicloud deployments and others

Demo: Vector and AI functionality in the Database

Take-Home Activity/Lab: Oracle AI Database New Features

Self-Study Links: www.oracle.com/database

Webinar Description

This session will cover AI Vector Search in Oracle AI Database, a powerful new set of AI features for using AI with your workloads and your data, both structured and unstructured. You’ll learn how to utilize vector data types, vector indexes, and SQL operators to create intelligent search experiences directly within the database. This session will provide a foundation for understanding how AI Vector Search can enhance modern enterprise applications by integrating advanced AI techniques with the dependable and scalable Oracle AI Database platform.

Key topics covered: AI Vector Search, Similarity Search, Vector Indexes

Demo: For the Demo, we will be demonstrating the power of semantic search for text, multilingual search and images. This will include examples of using AI Vector Search with Python, SQL and APEX.

Take-Home Activity/Lab: Getting Started with AI Vector Search

Self-Study Links: Oracle AI Vector Search

Webinar Description

We will explore the AI-ready, native knowledge graph capabilities of Oracle AI Database, demonstrating how you can uncover new insights by analyzing relationships within your data, providing richer context for AI-driven applications. You will learn how to create, query, and visualize graphs using familiar SQL, and to explore your graph with queries in natural language. You will learn how to run prebuilt graph analytics algorithms with a Java or Python API. At the end of the session you will have a foundation to leverage connections in your data for smarter decision-making in use cases such as tracing the movement of money in a financial network, understanding manufacturing dependencies, using relationships to better search documents, and more.

Key topics covered: Graph, Use of tools like SQL Developer to work with graphs, Graph Machine Learning, RAG, Graph RAG

Demo: Creating a graph from data in relational tables, exploring a graph using natural language, running graph machine learning algorithms, and Graph RAG.

Take-Home Activity/Lab: Explore Operational Property Graphs in Oracle AI Database

Self-Study Links: Integrated Graph Database

Webinar Description

Microservices Architecture is a style of software development that breaks down large applications into smaller, independent parts (services) that are loosely coupled, own their own business domain, and communicate through simple interfaces. This type of architecture has been widely adopted and continues to be a key technology, with most analysts predicting continued growth in adoption. Come and learn about all the great features in Oracle AI Database that simplify microservices development!

Demo: This session will cover many aspects of microservices development with examples throughout.

Take-Home Activity/Lab: Simplify Microservices with Converged Oracle AI Database

Self-Study Links: Oracle AI Database