Do You Really Need Processes? - Exploring Performance and Resiliency in BEAM Applications
Explore performance and resiliency gains in a ride-sharing app using various process architectures. Compare standard Phoenix + PostgreSQL setup with advanced BEAM features.
Building Analytic Systems with Elixir
Explore building analytical systems with Elixir, covering process mining, technology choices, and challenges. Compare Elixir Explorer with Python for data analysis tasks.
Anko: The Ultimate Ninja of Kotlin Libraries - YOW! 2016
Explore Anko, a powerful Kotlin library for Android development. Learn its features, benefits, and how it can streamline your coding process and enhance app functionality.
Creating a Distributed Database on Kubernetes Leveraging a Monolithic One
Learn to transform a monolithic database into a distributed system on Kubernetes, exploring challenges and solutions for scalability and performance optimization.
A Gentle Introduction to Vector Databases
Explore vector databases, semantic search, and machine learning models for unstructured data processing. Learn about Weaviate and see a practical demo of vector search in action.
AI Meets Node.js - Crafting a Custom Sports Activity Service - Conf42 JS 2023
Develop a custom sports activity service using AI and Node.js. Learn OpenAI integration, database setup, authentication, and API configuration for personalized fitness recommendations.
Understanding and Using AI and Machine Learning 101
Explore AI and ML applications in business, focusing on Oracle's tools for database management, analytics, and generative AI. Learn about algorithms, AutoML, and the future of AI in various industries.
Effective Observability in PostgreSQL, MySQL, and Other SQL Databases
Explore effective observability techniques for SQL databases, focusing on proactive monitoring, performance optimization, and addressing common challenges in database management and DevOps practices.
Player Piano - The World of ADW and ATP - DevOps 2024
Explore the world of ADW and ATP, autonomous databases, and their impact on DevOps. Gain insights into machine learning integration and future trends in database management.
The MariaDB Evolution: From MySQL Fork to Independent Database System
Explore MariaDB's evolution from MySQL fork to enterprise-grade database, covering its history, features, and global adoption in this comprehensive DevOps conference talk.
Mastering Generative AI: Harnessing AWS GenAI for Your Solutions
Explore AWS GenAI solutions, from foundation models to Amazon Bedrock and Claude 3. Learn about customization, knowledge bases, agents, and CodeWhisperer for innovative AI implementation.
Just Don't Do It - Databases in Kubernetes
Explore challenges and best practices for running databases in Kubernetes, focusing on PostgreSQL's transformative potential and the shift from availability to reliability in cloud-native environments.
Building Chatbots with Retrieval-Augmented Generation Techniques
Explore advanced techniques for building chatbots using retrieval-augmented generation, focusing on biomedical applications and improving search capabilities.
Vectoring Into The Future: AWS Empowered RAG Systems for LLMs
Explore AWS-powered RAG systems for LLMs, covering vector embeddings, databases, and services. Learn to leverage Amazon's AI capabilities for enhanced language model performance.
Using Quix, Hugging Face, and InfluxDB for Anomaly Detection
Explore anomaly detection using Quix, Hugging Face, and InfluxDB. Learn about data pipelines, time series databases, and MLOps for effective machine learning implementation.
Working with Relational Databases in the Wolfram Language
Explore relational databases using Wolfram Language's Entity framework. Learn key concepts, querying techniques, and advanced features for efficient data management.
JavaScript FullStack Development: From Front-End to Back-End
Explore JavaScript FullStack Development to build dynamic web apps. Learn front-end frameworks, Node.js, server-side logic, and database connections for comprehensive end-to-end development.
Lowering the Entry Threshold for Neural Vector Search - Applying Similarity Learning
Explore similarity learning for efficient neural search implementation, reducing data requirements and training time while addressing domain-specific challenges.
Building Autosuggest Infrastructure for High-Performance E-commerce
Explore OTTO's journey in building and reinventing autosuggest infrastructure, covering deep technology, architecture, scalability, and team insights for high-performance e-commerce solutions.
Better Semantic Search with Hybrid Sparse-Dense Search - Haystack US 2023
Explore hybrid search techniques combining sparse and dense embedding models to enhance semantic search accuracy and effectiveness in various scenarios.
Building Recommendation Systems with Vector Search - Women of Search
Explore building recommendation systems using vector search, focusing on Ref2Vec for user representation and bipartite graphs for user-product connections. Learn to enhance e-commerce experiences through advanced search techniques.