Remove AWS Remove Data Engineering Remove Data Silos
article thumbnail

Shaping the future: OMRON’s data-driven journey with AWS

AWS Machine Learning Blog

At the heart of this transformation is the OMRON Data & Analytics Platform (ODAP), an innovative initiative designed to revolutionize how the company harnesses its data assets. The robust security features provided by Amazon S3, including encryption and durability, were used to provide data protection.

AWS 80
article thumbnail

Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

Flipboard

Solution overview The following diagram illustrates the ML platform reference architecture using various AWS services. The functional architecture with different capabilities is implemented using a number of AWS services, including AWS Organizations , Amazon SageMaker , AWS DevOps services, and a data lake.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Build a financial research assistant using Amazon Q Business and Amazon QuickSight for generative AI–powered insights

Flipboard

Prerequisites To perform the solution in this walkthrough, you need to have the following resources: An active AWS account to access Amazon Q Business and QuickSight features. AWS IAM Identity Center must be configured in your preferred Region. QuickSight must be configured in the same AWS account and Region as Amazon Q Business.

AWS 139
article thumbnail

Tackling AI’s data challenges with IBM databases on AWS

IBM Journey to AI blog

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

AWS 93
article thumbnail

Connecting Amazon Redshift and RStudio on Amazon SageMaker

AWS Machine Learning Blog

The use of RStudio on SageMaker and Amazon Redshift can be helpful for efficiently performing analysis on large data sets in the cloud. However, working with data in the cloud can present challenges, such as the need to remove organizational data silos, maintain security and compliance, and reduce complexity by standardizing tooling.

AWS 135
article thumbnail

The power of remote engine execution for ETL/ELT data pipelines

IBM Journey to AI blog

According to International Data Corporation (IDC), stored data is set to increase by 250% by 2025 , with data rapidly propagating on-premises and across clouds, applications and locations with compromised quality. This situation will exacerbate data silos, increase costs and complicate the governance of AI and data workloads.

article thumbnail

8 Data Lake Vendors to Make Your Data Life Easier in 2023

ODSC - Open Data Science

And with the ability to handle high workloads, users can run high-powered analyses and store data at any size while bringing out the greatest value of a business’s data asset. Snowflake Snowflake is a cross-cloud platform that looks to break down data silos. So, what are you waiting for? Get your free Expo pass now !