1、Orlando,FLOctober 69IBM TechXchange 202520082008Text to SQL Agent powered by Informix and WatsonxXavi EscotAirtool,Tech LeadText to SQL Agent powered by Informix and WatsonxIBM TechXchange|2025 IBM CorporationWhat you will learn in this session0102030405OpeningThe ChallengeAirtools FoundationExample
2、 ScenarioThe Bigger PictureIBM TechXchange|2025 IBM CorporationWhat you will learn in this session0102030405OpeningThe ChallengeAirtools FoundationExample ScenarioThe Bigger PictureIBM TechXchange|2025 IBM CorporationOpeningThe user asks a business question in plain language,no SQL knowledge needed.
3、Natural language queryThe Text-to-SQL Agent interprets the question and generates a precise SQL query aligned with enterprise schema and business logic.SQLThe system returns a verified result,respecting security,permissions,and presentation rules,ready for decision-making.Trusted Business Result4Tur
4、ning natural language questions into secure,enterprise-ready insightsIBM TechXchange|2025 IBM CorporationWhat you will learn in this session0102030405OpeningThe ChallengeAirtools FoundationExample ScenarioThe Bigger PictureIBM TechXchange|2025 IBM CorporationThe ChallengeSQL Expertise GapBusiness us
5、ers cannot write SQL,creating dependence on developers for simple queries.Schema ComplexityEnterprise databases hold complex ERP,CRM,WMS,and HR schemas,making it hard to find the right data.Generic ChatbotsOut-of-the-box Text-to-SQL bots ignore business logic and security,risking incorrect or expose
6、d data.6Why generic solutions fail for enterprise dataIBM TechXchange|2025 IBM CorporationWhat you will learn in this session0102030405OpeningThe ChallengeAirtools FoundationExample ScenarioThe Bigger PictureIBM TechXchange|2025 IBM CorporationAirtools FoundationXML schema definitions can be transla