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tmak survey

  TMAK AI: Operations & Innovation Survey 2026 Purpose of Survey The TMAK AI team is focused on building Industrial Super Intelligence . To better support your workflow, we need to identify where manual effort can be replaced by intelligent automation. This survey will help us prioritize the next phase of AI development for Technomak. I. Employee Profile Full Name: _________________________________________________ Technomak Email ID: __________________________@technomak.com Department: [ ] HR & Admin [ ] Sales & Marketing [ ] Estimation & Projects [ ] Engineering [ ] Store & Production [ ] Accounts & Finance Current Designation/Role: ____________________________________ II. Daily Activity Audit Please list the top three tasks that occupy the majority of your daily working hours (e.g., cross-checking documents, technical reviews, vendor follow-ups). III. Departmental Pain Points What are the three biggest "bottlenecks" or challenges your department ...
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Architecting Industrial Super Intelligence

  Architecting Industrial Super Intelligence is a masterclass in bridging the gap between probabilistic AI research and deterministic, hardware-enforced industrial deployment. It provides a technical blueprint for the "Industrial Resilience" era, focusing on how NVIDIA AITune automates the optimization of neural networks across various backends (TensorRT, Torch Inductor, and TorchAO). The book details a shift from standard generative models to autonomous Agentic Systems that are capable of reasoning and acting within sub-millisecond latency constraints. By integrating 2026-era technologies like the NVIDIA AI Grid , Sovereign AI factories , and Digital Twins , this work offers a roadmap for securing and scaling artificial intelligence across critical infrastructure—from cardiac wearables and deep-space simulators to the Habshan switchgear upgrades and 6G telecom grids. Part I: Theoretical Foundations 1. The Inference Crisis: Why Eager Mode fails in Operational Technology. ...

CertifAI Labs: Industrial RAG Internship Program

  CertifAI Labs: Industrial AI RAG Internship Program Building AI Resilience for Industry 4.0 This is not a traditional academic course. This is a hands-on, project-based internship designed to transform engineers into AI Architects . Participants will work through the lifecycle of an industrial-grade RAG system, applying it to real-world datasets like technical manuals, switchgear specifications, and safety protocols. Program Structure & Modules Week 1: Foundations & The Data Fabric Goal: Master the art of "Ingestion" for complex industrial data. Module 1: Advanced Data Ingestion & Refinement Processing unstructured PDF manuals, CAD metadata, and technical tables. Implementing Vision-RAG for analyzing industrial diagrams and P&IDs. Module 2: The Vector Ecosystem Selecting embedding models for technical domain-specific language. Hands-on with Vector Databases (Milvus/Chroma) and metadata filtering. Week 2: Precision Engineering for Retrieval Goal: Move bey...