Sponsored by
Adlib Software80% of your manufacturing data is unusable by AI—stalling your smart factory initiatives. From CAD drawings and inspection logs to SOPs and compliance documents, critical data lives inside unstructured formats that AI can’t reliably access or trust. Without structured, validated inputs, even your best digital twin or predictive maintenance model is built on shaky ground.
In this session, Adlib Software CEO Chris Huff and CPO Anthony Vigliotti reveal how global manufacturers are eliminating this “last mile” bottleneck through AI-ready document workflows. You’ll learn how Adlib’s Transform platform extracts, validates, and delivers clean, contextual data from over 300 file types—including legacy formats and complex technical documents—ensuring high-trust inputs across PLM, MES, ERP, and LLM systems.
Key Topics:• The Trust Gap: Why most AI initiatives fail without structured, validated data
• Digital Twins: Improve model accuracy by up to 40% with pixel-perfect CAD-to-PDF transformations
• ESG & Compliance Reporting: Cut audit prep time by 60% through automated validation and document standardization
• SOP Distribution: Accelerate shop floor readiness with automated generation, validation, and delivery
• AI Trustworthiness: Reduce hallucinations and improve explainability using Retrieval-Augmented Generation (RAG) on verified source documents
• Unlike generic IDP or PLM platforms, Adlib’s Transform platform handles 300+ legacy formats and complex docs with 50% higher accuracy, ensuring compliance without vendor lock-in