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News

Medium
medium.com > @raiyansayeed0 > how-do-you-actually-deploy-a-machine-learning-pipeline-37734716545a

How Do You Actually Deploy a Machine Learning Pipeline?

1+ day, 13+ hour ago   (435+ words) A trained model sitting in a Jupyter notebook has never made anyone money. The accuracy score can be excellent, and it still won’t matter if …...

Unite.AI
unite.ai > what-is-mlops-how-teams-build-deploy-and-monitor-machine-learning-systems

What Is MLOps? How Teams Build, Deploy, and Monitor Machine Learning Systems

2+ week, 18+ hour ago   (1155+ words) MLOps deserves a precise explanation because its name identifies a particular information flow, training choice, runtime mechanism, or governance boundary. Treating it as a synonym for “advanced AI” makes claims impossible to test. This guide follows the concept from its…...

The Berkshire Eagle
berkshireeagle.com > online_features > press_releases > china-merchants-bank-wins-cncf-end-user-case-study-contest-for-unifying-ai-training-and > article_5975ffa2-752e-55be-bbba-5dad134fa8c8.html

China Merchants Bank Wins CNCF End User Case Study Contest for Unifying AI Training and Inference on Kubernetes

6+ day, 5+ hour ago   (217+ words) CNCF is the open source, vendor-neutral hub of cloud native computing, hosting projects like Kubernetes and Prometheus to make cloud native universal and sustainable. New cloud native platform lifted average accelerator compute utilization from 35% to more than 60% and cut inference…...

Recrew
recrew.ai > glossary > mlops-engineer-meaning

Who is an MLOps Engineer?

1+ week, 22+ hour ago   (527+ words) MLOps engineers work across a set of specific technical problems that neither a pure software engineer nor a pure data scientist is trained to handle. 1. Building training pipelines: Raw data needs cleaning, transformation, and feature engineering before a model can…...

iTuring.ai
ituring.ai > platforms > model-ops

Model Deployment & MLOps for Regulated AI | iTuring ML Ops

2+ week, 3+ day ago   (833+ words) iTuring ML Ops turns any model into a secure, governed endpoint in seconds-with approvals, lineage, rollback, and audit packs built in. Trusted by leading banks and insurers. Built for regulated industries with audit-ready governance. Seconds to live endpoint Python – R…...

DEV Community
dev.to > murali_gavarasana_bacbebd > consuming-aws-msk-from-azure-databricks-over-mtls-3b6n

Consuming AWS MSK from Azure Databricks over mTLS

1+ week, 1+ day ago   (1084+ words) Most guides for connecting Spark to Amazon MSK assume the two live in the same cloud and authenticate with IAM. That covers a lot of cases. It does not cover the one that keeps showing up in large enterprises: the…...

DEV Community
dev.to > debashish_ghosal > the-gate-that-stayed-silent-when-a-blocker-count-that-drops-reads-as-improvement-3je9

The Gate That Stayed Silent — When a Blocker Count That Drops Reads as Improvement

2+ week, 2+ hour ago   (632+ words) In the last article, I argued that the safety contract should move out of the LLM critic and into deterministic gates. The critic can vary. The gates should hold. This one is about the failure mode I did not see…...

Techstrong.ai
techstrong.ai > contributed-content > after-vibe-coding-why-production-ai-is-an-accountability-system-not-a-deployment-state

After Vibe Coding: Why Production AI Is an Accountability System, Not a Deployment State

2+ week, 5+ day ago   (1042+ words) Every enterprise leader has seen the pattern: a proof-of-concept AI tool that impresses in the demo. The demo handles the happy path, produces clean outputs, and gets everyone excited about what’s possible. But months later, no one can explain why…...

Medium
medium.com > @amolkharat817 > accuracy-lied-to-me-again-so-i-learned-to-read-this-instead-81c52f96b4c5

Accuracy Lied to Me Again… So I Learned to Read This Instead

3+ week, 16+ hour ago   (33+ words) Evaluation Metrics — The Truth Most Beginners Ignore (From Confused Developer to Building Real ML Systems — Part 9) I thought I had …...

@hackernoon
hackernoon.com > data-debt-in-production-ml-pipelines-detection-and-remediation-at-scale

Data Debt in Production ML Pipelines: Detection and Remediation at Scale | HackerNoon

3+ week, 2+ day ago   (634+ words) Every machine learning team hits the same obstacle. A model performs well during training and staging, but after a few weeks of production, it begins to make nonsensical decisions. No one has altered any code. What has actually changed is…...