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Bridging the SQL Skills Gap: How LLM-Based Text-to-SQL Boosts Team Productivity | Ai Heroes2024 Talk

AI Heroes 182 4 weeks ago
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🎟️ the 2025 edition on 27 May: https://aiheroes.it/2025/tickets/ ⏩ Chapter: 00:00 Intro 08:10 What’s in it for me? 09:06 Data Access - privacy and Security 11:05 LLM-Based Text-to-SQL Solution: In-Context Learning 13:04 Retrieval - Database Schema 16:14 Retrieval - Categorical Text Values 18:57 Generation - Chain of Thought (CoT) 20:27 Generation - Sub-Query Decomposition 21:41 Correction - Database Modifications 23:48 Results 24:15 Challenges 28:01 Text-to-SQL in Action In modern data-driven organizations, the ability to quickly access and analyze data is key to making informed decisions. However, querying databases often requires specialized SQL skills, which limits access to technical teams and increases the development cycle for data insights. In this talk, we will explore how Text-to-SQL technologies can dramatically enhance team productivity by shortening query development time. In this talk, I will share practical ways to implement Text-to-SQL for your own database, starting with the basics and improving results using prompt engineering techniques and database structure representation. By democratizing data access and improving cross-functional collaboration, Text-to-SQL can reduce bottlenecks, speed up decision-making, and enhance overall organizational efficiency. 🎤 SIVAN BIHAM, Machine Learning Researcher 📍AI Heroes is the Italian Artificial Intelligence Conference for Developers, Engineers, Data Scientists & Product Managers. - The New Workflow to Shape the Future of Business - AI in the Next Generation Workforce - Key Technologies, Applications and Trends ℹ️ inform: https://aiheroes.it/ ✅ Tweet: https://twitter.com/AIHeroes_it ✅ Connect: https://www.linkedin.com/showcase/aiheroes-it/ ✅ Read: https://t.me/aiheroes #LLMBasedTextToSQL #DataAccess #PromptEngineering #SQLSkills #AIDrivenInsights #DataDemocratization #MachineLearning #AIHeroes2025 #TechInnovation #InContextLearning

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