10:40 AM

Break

11:00 AM

Generative AI application development with NVIDIA

In this session we will present the latest NVIDIA software innovations to help you train, optimize and deploy generative AI models in your applications faster and more efficiently than ever!
Speaker: Nicolas Savides, EMEA Alliances Manager Global CSP, NVIDIA Ltd
Jean-Charles VASNIER, Solution Architecture Director | NVIDIA Ltd

11:45 AM

Break

12:00 PM

Changing the Face of App Dev with Low-Code Approach + AI

Join us to learn about new trends in low-code application development, see a live demo of how to build a cloud and mobile app within minutes, common use cases for low-code and how to incorporate low-code into your application development process.
Speaker: Monica Godoy, Senior Principal Product Manager APEX

12:45 PM

Lunch

2:00 PM

Build Gen AI Apps with Enterprise Data: HeatWave GenAI

Is generative AI on your mind? You’re not the only one! Explore how to use large language models (LLMs) to interact with MySQL HeatWave in natural language. See how the new vector store enables you to leverage the power of LLMs in combination with your proprietary data in various formats (PPT, PDF, text, and more) stored either inside or outside your database. Plus, discover how the vector store enables you to get more relevant and accurate answers than those derived from models trained on only public data. In short, learn how MySQL HeatWave can support your generative AI needs.
Speaker: Mario Beck, Director, MySQL Solution Engineering, EMEA

2:45 PM

Break

3:00 PM

Select AI in Autonomous Database for chatting with your data

Oracle Autonomous Database supports SQL generation with from natural language prompts. Use natural language to query data with the help of LLMs and increase application developer productivity. This enables non-technical users to query information from their database and to invoke “natural language queries: from SQL command line and PL/SQL function. By buiding this in ADB, you inherit security and authentication of the Oracel database. A demo will be shown in this talk.
Speaker: Ignacio Martinez, Data Scientist Advocate

3:45 PM

Break

4:00 PM

Build AI/ML-Driven Apps with Autonomous Database

Discover how you can extend your existing apps to infuse the power of GenAI and ML by integrating the latest built-in AI/ML capabilities of Oracle Autonomous Database. What if your users can get answers about your private enterprise data—whether that data is stored inside the database, in data lakes, or in other databases—through natural language conversations with your apps? Or do you want to generate and deliver more personalized content to your customers by integrating different ML capabilities, including insights gained from spatial and graph analytics? All of these options are possible today with Autonomous Database. This session introduces how to immediately take advantage of the latest innovations that simplify your AI app dev.
Speaker: Victor Martin Alvarez, Senior Principal Database Product Manager

5:00 PM

Transfer

6:00 PM

Happy Hours

10:40 AM

Break

11:00 AM

Fast AI Vector Search using Java Virtual Threads & Pipelined Database Operations

Operating system threads are expensive. Virtual threads remove the need for reactive programming to scale Java applications. Synchronous database operations block user threads and prevent high scalability. With pipelined database operations, the database call returns immediately, and you can submit other operations without waiting for previous submissions to finish. Learn how to speed up your Java applications as well as database operations for end-to-end scalability as we walk you through reactive programming combined with pipelined database operations, then synchronous programming using virtual threads combined with pipelined database operations.
Speaker: Kuassi Mensah, Director of Product Management

11:45 AM

Break

12:00 PM

Simplified Microservices with Oracle Database 23ai

Kubernetes, containers, and Microservices are important technologies for developing and deploying applications. Even though these technologies are very compelling, there is a very high failure rate in their adoption. In this talk, we will show you how Oracle is embracing and extending Kubernetes to enable developers to successfully build mission-critical applications using these technologies. We will also share how to best leverage the capabilities of Oracle to implement proven microservices patterns (such as Event Sourcing, Transactional Outbox, Idempotent, etc.).
Speaker: John Lathouwers, Senior Principal Technical Program Manager

12:45 PM

Lunch

2:00 PM

Building Chatbots with Oracle Database 23ai – knowledge assistant example

Chatbots are a rage with the advent of Gen AI techniques with text, voice, and image recognition. We show you how to build a text chatbot with LangChain that helps answer questions from Oracle documentation. Using the Retrieval Augmented Generation (RAG) implemented as a easy to use pipeline in Oracle Backend as a Service (OBaaS) for AI, a variety of LLMs are used to create embeddings and to answer the prompt with context from the vector search for relevant chunks from the document. We share some early results of chunking, embeddings, and walk you through a few questions and the quality of answers from RAG comparing them to answers without it from ChatGPT.
Speaker: Corrado De Bari, Developer Evangelist, Messaging and Microservices

2:45 PM

Break

3:00 PM

Using Spring AI to build intelligent microservices with Oracle 23ai

Spring Boot is the most popular Java framework for building modern microservices. A new project is Spring AI brings in Gen AI to Java. Its goal is to apply to the AI domain Spring ecosystem design principles such as portability and modular design and promote using POJOs as the building blocks of an application to the AI domain. Popular LLMs like OpenAI and LLama2 are integrated, and we show the integration with the Oracle Database Vector capabilities. This session is especially valuable for ISVs building modern data-driven, event-driven, intelligent applications in Java. We show an end-to-end workflow of using structured and unstructured data to run RAG (Retrieval Augmented Generation) using a variety of embedding models, and suggestions to fine-tune open source models. The OBaaS-AI platform measures APIs and help optimize costs for Gen AI use cases.
Speaker: Corrado De Bari, Developer Evangelist, Messaging and Microservices

3:45 PM

Break

4:00 PM

Real world example of vector search support in Oracle Database 23ai

Oracle AI Vector Search is a new capability introduced in Oracle Database 23ai. AI Vector Search is a collection of features that includes a new vector data type, vector indexes, and vector search SQL operators. The AI Vector Search workload I will be talking about includes methods to store the semantic content of documents and other unstructured data on Oracle Object Storage buckets from where it can be accessed by Oracle 23ai Database as BLOBs, converted to vectors, and use these to run fast similarity queries. Vectors are created inside the database using Sentence-Transformer ONNX embedding models from Hugging Face securely uploaded into your database. In summary, using a set of functions from the DBMS_VECTOR_CHAIN package, you first convert a PDF file to text (UTL_TO_TEXT), split the text into chunks (UTL_TO_CHUNKS), and then create vector embeddings on each chunk (UTL_TO_EMBEDDINGS). Oracle Database 23ai brings AI algorithms to where the data lives instead of having to move the data to where the AI algorithm lives. This allows AI to run in real-time in Oracle databases and greatly improves its effectiveness, efficiency, and security.
Speaker: Valentin Leonard Tabacaru, Senior Principal Product Manager

4:45 PM

Break

5:00 PM

Transfer

6:00 PM

Happy Hours

10:40 AM

Break

11:00 AM

Jumpstart Healthcare Innovation with AI and Machine Learning

ML and AI tools are unprecedentedly changing modern healthcare. It can be challenging for patients and healthcare providers to stay abreast of the latest technological advances and their impact. In this session, we will show how AI and ML are helping identify breast and lung cancer using Oracle APEX, Autonomous Database, OCI, AI Services, and Oracle Analytics Cloud. We'll share how our AI models are trained with CT scan images to identify breast or lung cancers and help doctors or patients dictate medical symptoms and diagnoses quickly by sending an email of the audio message and the medical transcription text. we'll show you how digital assistants can advise patients with health concerns, answer questions about symptoms, and even locate the nearest hospital.
Speaker: Priscila Iruela, Senior Principal Technical Program Manager Database
Victor Martin Alvarez, Senior Principal Database Product Manager

12:45 PM

Lunch

2:00 PM

Graph Studio: Find Circular Payment Chains with Graph Queries in Autonomous Database

Use graph analytics and visualization to detect potentially fraudulent money transfers. This workshop introduces key graph data modeling and analysis concepts and the interactive Graph Studio for working with graphs in an Autonomous Database. It shows you how to use graph queries to find circular payments, i.e. potentially fraudulent transactions. You will be using data containing Account and Transaction information. Then create a graph and finally query it and visualize the results.
Speaker: Karin Patenge, Sr. Principal Product Manager

3:00 PM

Build an Innovative Q&A Interface Powered by Generative AI with Oracle APEX

In this workshop, you learn how OCI Vision is used to enhance the Oracle APEX Social Media app for the classification of images. By integrating OCI Vision with Oracle APEX, businesses can tap into the power of visual intelligence, transforming their data analysis capabilities and revolutionizing user experiences. Speaker: Monica Godoy, Senior Principal Product Manager APEX

4:45 PM

Break

5:00 PM

Transfer

6:00 PM

Happy Hour

10:40 AM

Break

11:00 AM

Deploying LLMs with NVIDIA GPUs on OCI Compute Bare Metal

Have you ever wondered how to deploy a large language model (LLM) on Oracle Cloud Infrastructure (OCI)? In this solution, you’ll learn how to deploy LLMs using OCI Compute Bare Metal instances powered by NVIDIA GPUs with an inference server called vLLM.
Speaker: Ignacio Martinez, Data Scientist Advocate

12:45 PM

Lunch

3:00 PM

MLOps using OCI Data Science and MLFlow on Kubernetes

In this session we will hands-on showcase MLOps capabilities in Oracle Cloud. The session largely covers two parts. First, we will set up a MlFlow tracking serving using a pre-configured container image. Second, we will use OCI Data Science to leverage the integration with MlFlow to create a full MLOps lifecycle and pipelines. The MLOps pipeline will use OCI Data Science Jobs and Pipelines to automatically train, manage, and deploy ML models, using MlFlow for the lifecycle management.
Speaker: Alberto Campagna Application Development Specialist
Marta Tolosa, Application Development Specialist Leader

4:45 PM

Break

5:00 PM

Transfer

6:00 PM

Happy Hour