Why AI needs GraphQL - Anant Jhingran, IBM There is a bright future for AI-driven integration, both in the application of integration to provide access to enterprise data for use by AI tools and also for application of AI to benefit the delivery of integration scenarios. However, AI foundation models must be complemented by integration and API technologies, and GraphQL can be the perfect technology for this. Having founded StepZen (now acquired by IBM) I have a particular bias for GraphQL applications, but in this case they can be especially powerful. AI applications can be trained to call one universal GraphQL API, and not have to deal with the subtleties of formats and authorizations and sideways information passing if the application were to learn multiple backends. In this talk I’ll explain why AI needs GraphQL for integrations, and what the future of AI and GraphQL looks like. GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data. GraphQL provides a complete and understandable description of the data in your API, gives clients the power to ask for exactly what they need and nothing more, makes it easier to evolve APIs over time, and enables powerful developer tools. Get Started Here: https://graphql.org/