AI for Operations
-
AI for Operations
Introducing Tulie: Tulip’s AI Assistant for Always-On Coaching
Today, we’re introducing Tulie — designed to help your operations take root and bring real-time, always-on coaching into app development...
-
AI for Operations
Bringing Time Back to the Digital Factory: Announcing Factory Playback at NVIDIA GTC
Tulip announced Factory Playback at NVIDIA GTC. Powered by NVIDIA AI and accelerated computing, Factory Playback creates a synchronized, time-aligned...
-
AI for Operations
Beyond the Chatbot: How Agentic AI Works in Discrete Manufacturing
Learn how agentic AI in discrete manufacturing turns insights into action by automating quality response, workflow execution, and audit-ready records...
-
AI for Operations
How to Integrate AI Across Manufacturing Operations: Tulip’s Framework for Scalable Adoption
Most AI integration in manufacturing stalls after the pilot. Learn why manufacturers get stuck, how frontline AI closes the gap...
-
AI for Operations
AI-Powered Manufacturing Platforms in 2026: What Buyers Should Look For
AI is reshaping manufacturing platforms. Learn what defines the best AI-powered manufacturing platform in 2026 and how Tulip brings AI...
-
AI for Operations
AI Orchestration for Manufacturing Explained
hat is the difference between automation and orchestration? Discover how modern manufacturers use event-driven architecture and AI agents to move...
-
AI for Operations
Manufacturing MCP: The Model Context Protocol Explained
Manufacturing MCP explained — how Model Context Protocol connects AI agents to real systems with safe, permissioned, contextual access on...
-
AI for Operations
The Next Wave of Manufacturing Optimization with AI Video
Data without context is noise. Watch the latest The Humans in the Loop to see how AI vision bridges the...
-
AI for Operations
Manufacturing Data Readiness for AI Explained
Is s your factory data ready for AI? Learn why context matters more than volume; and how a Unified Namespace...
-
AI for Operations
AI in Manufacturing — Readiness, Data, and Design
A three-part episode of The Humans in the Loop exploring how Tulip applies AI to manufacturing through readiness, data, and...
-
AI for Operations
Natural Language, Context, and the Future of Operational AI
How context, trust, and human-centered design define the next phase of AI in manufacturing, from The Humans in the Loop.
-
AI for Operations
Human-in-the-Loop AI in Manufacturing: Why the Future Isn't Lights Out
What is human-in-the-loop (HITL) AI? Learn why the future of manufacturing isn't "lights out"; but a collaboration where AI augments...
-
AI for Operations
Applying AI on the Shop Floor
Discover how Tulip’s AI team is applying human-in-the-loop principles to real manufacturing challenges — from AI copilots and multilingual production...
-
AI for Operations
AI Governance for Manufacturing: A Practical Framework
AI governance for manufacturing explained — autonomy levels, HITL oversight, validation, auditability, and safe deployment of AI in regulated operations.
-
AI for Operations
AI Composer & Operations-First Design
The future of manufacturing AI depends on keeping humans in the loop. Explore Tulip’s operations-first approach to building trusted, practical...
-
AI for Operations
Modern MES vs. Legacy MES: Why Tulip Leads in Embedded AI, IIoT, and Low-Code Manufacturing
See why legacy MES architectures struggle to support AI and IIoT and learn how Tulip’s composable, low-code platform embeds intelligence...