Data Reply IT | DataTech

Stateful Agents on Amazon Bedrock: How AgentCore Runtime Solves the Memory Problem

Introduction

Introducing AWS Security Agent: AI-Powered Security Across the Entire Development Lifecycle

SnowConvert AI: Automating Legacy Data Warehouse Migration to Snowflake

Introduction

From Natural Language to Production Infrastructure: How Agent Plugins for AWS Replace Manual…

Introduction

Building Enterprise AI Agents with Amazon Bedrock AgentCore

Introduction

Flood monitoring with Satellites

How Earth Observation data can help dealing with climate change

From Building Blocks to Full-Stack: Ship a Production AI Agent on AWS with FAST

Building an AI agent that works locally is one thing. Shipping a production-grade, full-stack agent application — with authentication, tool…

Scio: From Spotify’s Challenges to an Open-Source Scala API for Apache Beam

The origins of Scio

Introduction to Federated Learning

We are witnessing an era characterized by huge advancements in digitalization and artificial intelligence, but while in the past many were…

Optuna: Smarter Hyperparameter Optimization Beyond Grid Search.

Why define-by-run search spaces, adaptive sampling, and pruning make model tuning faster, cheaper, and more practical than exhaustive search

Intelligent Data Steward: Leveraging AI Agents to automate data stewardship tasks

What if every employee had an on-demand data steward available through a simple chat interface?

Goodbye Vector DB: Building Smarter RAG with PageIndex

How to build a Retrieval-Augmented Generation pipeline based on reasoning — without a single vector similarity operation

Zero-Shot Call Classification: Matching Customer Intent at Scale with Semantic Embeddings

How We Match Customer Calls to Predefined Categories With Semantic Embeddings

On-Premise OCR with docTR: An Open-Source Alternative to Cloud Services

1. Introduction: Why OCR Still Matters

Beyond One Embedding per Page: Multi-Vector Retrieval for Visual Search

Why single-vector embeddings fall short for visually complex documents

TurboQuant: Near-Optimal Vector Quantization for LLM Inference Efficiency

A deep dive into Google’s new vector quantization method that challenges the information-theoretic limits of compressing high-dimensional…

Why Milliseconds Matter: Building Real-Time AI Applications with Databricks Lakebase

How we solved the operational AI bottleneck — processing thousands of documents daily with human oversight at scale.

Introduction to the ArcPy library for querying, analyzing, and manipulating geospatial data in…

The purpose of this article is to provide a comprehensive overview of the core functionalities offered by the ArcGIS Pro Desktop…