Comparing AI-Augmented Information Retrieval Strategies
Explore AI-powered information retrieval strategies with Women of Search experts. Analyze fine-tuning ML models, RAG pipelines, and reranking methods for optimal use in search applications.
Your Search Engine Needs a Memory - Haystack US 2024
Discover how User Behavior Insights system standardizes data collection for search professionals, enabling improved relevance and user experience through analysis of search patterns and behaviors.
Retro Relevance: Lessons Learned Balancing Keyword and Semantic Search
Explore strategies for enhancing search relevance by combining traditional keyword-based methods with semantic search, addressing limitations and improving user satisfaction.
Expanding RAG with Multimodal Capabilities - Haystack US 2024
Explore multimodal RAG workflows for enhanced retrieval and generation, incorporating text, tables, and images. Live demo showcases PDF processing, vector database usage, and LLM-enriched responses.
Measuring and Improving Retrieval in RAG Systems - Haystack US 2024
Learn techniques to measure and enhance retrieval quality in RAG systems, exploring alternatives to human expert judgments and methods for tuning retrieval to improve generated responses.
Chat With Your Data - A Practical Guide to Production RAG Apps
Learn to build production-ready RAG applications with insights from Moody's rapid development. Gain strategies for embedding, relevance measurement, cost management, and team organization for impactful AI-driven data interaction.
Future of Knowledge: The Role of AI
Explore AI's impact on knowledge management and scientific understanding with insights from Iris.ai's CTO. Gain perspective on innovative AI applications in processing scientific data.
Using MLflow and Databricks to Deploy ML Models in Production
Explore MLflow and Databricks for production ML model deployment. Learn end-to-end management, model tracking, and deployment strategies, plus Databricks' Feature Store and AutoML.
Decision Making: Why the Last Mile of Analytics Should Be Your First Priority
Discover why focusing on the last mile of analytics is crucial for improving decision-making and achieving better business outcomes in digital transformation initiatives.
CRM Platform Migration - Data Engineering Journey and Value Unlocked
Explore the data engineering journey of CRM platform migration, focusing on personalization, cross-channel messaging, and offer optimization to enhance customer engagement and product development.
The Subtle Art of Fixing Silently Failing ML Models
Discover techniques to identify, assess, and proactively fix silent ML model failures. Learn to build reliable, compliant solutions resistant to performance degradation using AI Observability tools.
Identification of Customer Behavioral Attributes through Topic Modelling
Explore customer behavior analysis using topic modeling on retail basket data. Learn to identify shopping patterns and tag customers based on their purchasing habits.
Needles and Haystacks - Machine Learning with Imbalanced Datasets
Explore strategies for training machine learning models on imbalanced datasets, including synthetic data generation, algorithm selection, and sampling techniques. Gain practical insights for tackling rare instance identification challenges.
Forecasting Online Demand for Labour Planning
Learn to forecast online sales demand using data science for accurate resource planning in fulfilment centres, reducing costs and improving delivery times.
Introduction to Data Engineering - Best Practices and Production-Level Infrastructure
Learn best practices for scaling data science projects from local to production, covering infrastructure, reliability, and real-world applications in data engineering.
Introduction to Computer Vision with CNNs
Explore computer vision using CNNs and transfer learning. Learn practical steps for CNN training, including activation functions, and discover applications in image quality assessment and feature extraction.
Introduction to Data Visualization
Learn effective data visualization techniques to represent insights concisely, choose appropriate charts, and craft compelling data stories for impactful communication.
Introduction to Databases - Foundational Concepts and Business Applications
Gain foundational knowledge of databases, their structure, and applications in solving real-world problems. Explore data types, analytics cubes, and structured data formats.
Introduction to Graph Databases
Explore graph databases, their comparison to relational databases, and ideal use cases. Learn about property graphs and gain resources for further study in this informative introduction.
Introduction to Machine Learning: Regression - Part 1
Explore regression in machine learning: estimate relationships, predict outcomes, and apply algorithms for continuous target variables. Learn evaluation techniques and practical considerations.
Introduction to Machine Learning: Classification Techniques - Part 2
Explore classification techniques in machine learning, including logistic regression and KNN, with practical insights from industry experts.