Azure vector databases with Azure Open AI

Join us for an illuminating discussion on Azure Vector Databases, where we delve into the realm of vector embeddings and their pivotal role in modern data science and machine learning workflows. This talk offers a comprehensive comparative analysis of various vector databases available on Azure, shedding light on their distinct features, performance benchmarks, and suitability for diverse use cases.

From Azure Cosmos DB to Azure SQL Database with Hyperscale and Azure Data Explorer, we navigate through the landscape of Azure's vector database offerings, uncovering their strengths, limitations, and optimal applications. Through practical examples and case studies, attendees will gain insights into how these databases handle vector data, facilitate efficient querying, and support advanced analytics tasks.

Furthermore, we explore the concept of vector embeddings – a powerful technique for representing data points in a continuous, high-dimensional space. Delving into real-world scenarios, we demonstrate how vector embeddings enable tasks such as similarity search, recommendation systems, and natural language processing, and discuss best practices for leveraging them effectively within Azure's ecosystem.

Whether you're a data scientist, a machine learning engineer, or a database administrator, this talk equips you with valuable knowledge to make informed decisions when choosing and utilizing vector databases on Azure, and harnessing the transformative potential of vector embeddings in your projects. Join us to embark on a journey through the cutting-edge intersection of databases, vectors, and AI.

Revolutionizing knowledge discovery: Leveraging GraphRAG and RAG LLM approaches in Azure

Dive into the cutting-edge world of knowledge graph databases and the innovative Retrieval-Augmented Generation (RAG) Large Language Model (LLM) approach, specifically tailored for Microsoft Azure. Discover how GraphRAG, a groundbreaking method developed by Microsoft Research, enhances LLM capabilities by creating dynamic knowledge graphs from private datasets. Learn how these graphs, combined with advanced machine learning techniques, significantly improve the synthesis of insights across vast and complex data landscapes. Explore practical applications and real-world case studies showcasing the transformative potential of GraphRAG and RAG LLMs in unlocking deeper, more nuanced understanding from your data. Whether you're dealing with proprietary research, business documents, or communications, this session will equip you with the strategies and tools needed to harness the power of Azure's AI services for unparalleled knowledge discovery and generation.

Mastering Azure Prompt Flow: Streamline your AI development

In the rapidly evolving world of AI, efficiency and agility are paramount. Azure Prompt Flow is a groundbreaking tool designed to revolutionize the development cycle of AI applications powered by Large Language Models (LLMs). This talk will delve into the capabilities of Azure Prompt Flow, showcasing how it simplifies the process of prototyping, experimenting, iterating, and deploying AI applications.

Potencia tu análisis: Domina Power BI con Microsoft Copilot

Descubre cómo revolucionar tu flujo de trabajo en Power BI con la ayuda de Microsoft Copilot. En esta charla, aprenderás a aprovechar esta poderosa herramienta para automatizar tareas, mejorar la precisión de tus análisis y crear informes impresionantes con facilidad. Con ejemplos prácticos y consejos, te mostraré cómo Copilot puede transformar tu experiencia en Power BI y llevar tus habilidades al siguiente nivel. ¡No te lo pierdas!

Words with weight: Unveiling gender bias in Large Language Models

En esta charla exploraremos cómo los sesgos de género se infiltran y persisten en los modelos de procesamiento de lenguaje natural (PLN) y en los modelos de lenguaje de gran escala (LLM). Discutiremos las metodologías actuales para identificar y medir estos sesgos, utilizando ejemplos concretos de sesgos en la selección de palabras descriptivas, la asignación de roles de género y los temas de diálogo en varios idiomas. Además, abordaremos las implicaciones éticas y sociales de estos sesgos y propondremos estrategias para mitigarlos, asegurando que los avances en IA promuevan una representación equitativa y justa para tod@s.

Esta sesión es esencial para desarrolladores, investigadores y cualquier persona interesada en la igualdad de género en el campo de la Inteligencia Artificial.