Logic at the Core: Why Business Rules Belong in the MarkLogic Platform
summary
Corticon.js generates a self‑contained JavaScript bundle that runs natively inside MarkLogic (or on Node, AWS Lambda, Azure) so rule logic executes where the data lives, cutting latency and operational overhead. It models rules as drag‑and‑drop rule sheets and a rule vocabulary, produces plain‑language explanations and a rule trace view for every fired rule, stores decision outputs in MarkLogic documents, supports automated rule tests, and wires an OpenAI assistant to help generate and document rules for compliance and auditability.
AI-written summary · about
chapters (12)
- 0:00Introduction to the talk
- 1:06Why Corticon is useful
- 3:54Auto insurance underwriting use case
- 8:26Rule modeling in Corticon Studio
- 13:45AI assistance in rule development
- 15:33Rule validation and testing
- 18:00Rule trace and decision flow
- 20:25Deploying rules in MarkLogic
- 23:30Querying policy data with FastTrack
- 26:41Building complementary solutions
- 28:08When to use Corticon
- 29:13Q&A session
related talks
42mProduction Rules on Databases
37mClarifying Rules Engines with Clara Rules
49mBuilding a Data Validation Rules Engine
05mFernando Mesa from MarkLogic interviewed at Strata Rx 2013
06mCloud-Native GraphRAG: AI’s Logical Edge
38mComposable Healthcare
28mKnowledge Graph of Your IT Landscape: Code Is Graph Data
49mThe real power of algorithms on application performance
