AWS Big Data

MARCH 27, 2024

They can then use the result of their analysis to understand a patient’s health status, treatment history, and past or upcoming doctor consultations to make more informed decisions, streamline the claim management process, and improve operational outcomes.

Data Analytics 89

Data Analytics Analytics Data Warehouse Data Lake 89

AWS Big Data

SEPTEMBER 6, 2023

This example shows how to use this mechanism. Additionally, it provides a pattern creating a proxy that can easily be integrated into solutions built in languages other than Java. In this post, we aim to address this issue and present how you can use Amazon API Gateway and AWS Lambda to navigate around this obstacle.

Testing 95

Testing Metadata Cost-Benefit Management 95

AWS Big Data

MARCH 3, 2023

This post demonstrates how to implement a solution that uses AWS DMS to stream ongoing replication or change data capture (CDC) from an Amazon Aurora PostgreSQL-Compatible Edition database into Amazon Simple Storage Service (Amazon S3). Incremental data is generated in the PostgreSQL table by running custom SQL scripts.

Data Lake 81

Data Lake Dashboards Metrics Metadata 81

Ontotext

OCTOBER 7, 2020

FIBO Overview. FIBO contains the entities and associations that describe the information needed to build, extend and integrate financial business applications. Introduction. An ontology or a knowledge graph of any appreciable size requires some effort on the part of the consumer before it becomes a useful tool.

Finance 59

Finance Visualization Modeling Optimization 59

Jet Global

MAY 1, 2023

It will show you what embedded analytics are and how they can help your company. It will show you how to select the right solution and what investments are required for success. We hope this guide will transform how you build value for your products with embedded analytics. CRM, ERP, EHR/EMR) or portals (e.g.,

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Domino Data Lab

AUGUST 29, 2019

The article includes an overview of reinforcement learning theory with focus on the deep Q-learning. Recent feats in machine learning, like developing a program to defeat a human in a game Go, have been powered by reinforcement learning. Using Keras and OpenAI Gym to create a deep learning model and provide the environment to train.

Optimization 111

Optimization Modeling Deep Learning Metrics 111

Insight

OCTOBER 25, 2019

Image credit: [link] As the title suggests, this is a story about a question that may resonate well with many machine learning practitioners trying to build applications in the real world, where clean and annotated data on a specific problem can be sparse— How do we leverage the power of AI when we have very little data?

Snapshot 57

Snapshot Testing Deep Learning Visualization 57