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

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
ExternalAI
AWS Machine Learning Blog

Embed the world: Multimodal AI for searchable aerial imagery at scale

In this post, we walk through the problem space, our architecture on Amazon Bedrock and Amazon OpenSearch Serverless, the evaluation methodology we built on OpenStreetMap ground truth, four experiments that compared embedding models, fusion strategies, captioning, and search methods, and the practical guidance you can apply when building a similar system. You’ll learn which design choices move the needle for geospatial semantic search, including why Amazon Nova Multimodal Embeddings delivered th

Amazon BedrockAmazon NovaAmazon OpenSearch Service
AWS Machine Learning BlogRead original
ExternalAI
AWS Machine Learning Blog

Running ComfyUI workflows on Amazon SageMaker AI processing jobs

In this post, we walk you through how to deploy ComfyUI workflows on Amazon SageMaker AI processing jobs to generate hundreds of high-quality images in a single batch. You learn how to set up the infrastructure using AWS Cloud Development Kit (AWS CDK), configure GPU-accelerated processing, and automate image generation at scale. You can then adapt this solution to your ComfyUI workflows specific to your needs. We will guide you through a practical, step-by-step process to automate ComfyUI workf

Amazon SageMaker AIAmazon Simple Storage Service (S3)AWS Lambda
AWS Machine Learning BlogRead original

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