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Curated links from external sources — not 360Softy original articles.

ExternalTechnology Trends
The Verge Tech

Valve will finally let you build your own Steam Machine with SteamOS for desktop

If you don't get lucky with Valve's Steam Machine reservation system, you can make your own Steam Machine instead. Valve says that "starting with the SteamOS 3.8 release, you can put together your own Steam Machine using whatever PC parts you want." SteamOS 3.8.10 launched last week with a slew of updates, including "improved compatibility with recent Intel and AMD platforms." Alongside that improved compatibility, Valve is giving gamers the green light to install SteamOS on their own desktops.

The Verge TechRead original
ExternalTechnology Trends
The Verge Tech

Valve explains why it isn’t subsidizing the Steam Machine

But the Xbox Series X is kind of like two Steam Machines! | Photo: Kelsey McClellan / The Verge Valve finally announced the price of the Steam Machine, and like a lot of new gadgets these days, it's not cheap: It starts at $1,049 for a 512GB model, and a 2TB model costs $300 more. Configurations with a bundled Steam Controller cost an extra $79 each. Despite Valve offering a console alternative with the Steam Machine - a compact piece of hardware that can easily hook up to your TV to play your

The Verge TechRead original
ExternalSoftware Engineering
DZone

Keeping AI-Powered BI Honest: A Human-in-the-Loop (HITL) Playbook

A few months ago, I led a BI project with a deceptively simple pitch: let business users ask questions in plain English, and hand back the answer. We wired an LLM to our warehouse, got SQL generation working, and ran a pilot. It did not go well. The model was actually right a lot of the time, and that wasn’t the problem. The problem was that nobody on the business side could tell when it was right. Prompts came in tangled; the model would interpret one clause subtly wrong, and we’d return a clea

DZoneRead original
ExternalCloud
Google Cloud Blog

Boost BigQuery with Python: Managed Python UDFs now generally available

SQL is the industry standard for high-performance structured data analysis. However, expressing complex procedural logic, scientific computations, advanced string manipulations, or machine learning workflows in pure SQL can be highly challenging, if not impossible. That kind of work is better done with Python. Data practitioners often take on additional infrastructure management tasks — maintaining custom images and containers, and working with additional compute services — just to run simple he

Application DevelopmentData Analytics
Google Cloud BlogRead original
ExternalSoftware Architecture
AWS Architecture Blog

Secure multi-tenant RAG with Amazon Bedrock and Verified Permissions

This post walks you through a two-layer, defense-in-depth authorization pattern for granular, intra-tenant access control in RAG applications. Defense in depth is a security strategy that uses multiple independent layers of protection. Each layer operates independently. If one layer is misconfigured, the other layer still enforces access control. The pattern runs on Amazon Bedrock, a fully managed service that offers a choice of high-performing foundation models (FMs) from Amazon and AI companie

Amazon Bedrock
AWS Architecture BlogRead original
ExternalSoftware Architecture
AWS Architecture Blog

Modernizing financial analytics with Amazon SageMaker Unified Studio

Avanse Financial Services, India’s leading education loan providers, migrated to a cloud-native lakehouse architecture using Amazon SageMaker Unified Studio, which unified their data engineering, analytics, and artificial intelligence (AI) workflows in a single governed environment on AWS. In this post, we walk through their migration journey so you can adapt their approach to your own environment.

Amazon BedrockAmazon DataZoneAmazon EMR
AWS Architecture BlogRead original
ExternalSoftware Architecture
AWS Architecture Blog

Architecting AI-powered resilience framework on AWS

In this post, you’ll learn how to architect and implement a five-layer AI-powered resilience framework that automatically discovers dependencies, generates targeted experiments, and integrates with your existing Continuous Integration/Continuous Deployment (CI/CD) pipelines. First, we’ll explore the key challenges in resilience testing. Then, we’ll walk through the five-layer architecture that solves these challenges. Finally, we’ll show you how to implement this, with phased rollout guidance fo

AWS Fault Injection Service (FIS)AWS Resilience Hub (ARH)AWS Systems Manager
AWS Architecture BlogRead original

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