mlops - IoT Digital Twin PLM

TwinOps: The Operational Lifecycle Architecture for Digital Twins (2026)

By MPRAUTO MPRAUTO July 10, 2026Digital TwinNo Comments

TwinOps applies DevOps discipline to digital twins: model versioning, continuous state sync, validation gates, drift detection, and closed-loop control across the twin lifecycle.

Feature Store Architecture: Online/Offline Parity and Point-in-Time Correctness

By MPRAUTO MPRAUTO June 29, 2026AINo Comments

A feature store architecture deep-dive: online/offline parity, point-in-time correct joins, materialization, and the registry - how to stop training/serving skew in production ML.

Edge MLOps Pipelines for Industrial IoT: 2026 Production Architecture

By MPRAUTO MPRAUTO June 3, 2026AINo Comments

Production-grade edge MLOps pipeline for industrial IoT — training, packaging, OTA delivery, drift detection, and rollback under network constraints.

NVIDIA L4 + VMware for AI Inference (2026 Update)

By mprcba May 25, 2026AINo Comments

NVIDIA L4 on VMware vSphere for AI inference, updated for 2026 — vGPU vs passthrough, sizing, L4 vs L40S, and a reference deployment with the cost math.

LLM Evaluation Pipelines: LLM-as-Judge Done Right (2026)

By MPRAUTO MPRAUTO May 24, 2026AINo Comments

Build an LLM evaluation pipeline that you can trust — golden sets, LLM-as-judge pitfalls, calibration, drift detection, and a reference workflow.

AI/ML Predictive Maintenance Careers in 2026: Skills, Roles, Stack, and Salaries

By mprcba March 28, 2023AINo Comments

A 2026 guide to AI/ML predictive maintenance careers: the real skill stack, roles from data engineer to reliability scientist, MLOps tooling, portfolios, and salary bands.