IBM Journey to AI blog

SEPTEMBER 11, 2023

We are in the midst of an AI revolution where organizations are seeking to leverage data for business transformation and harness generative AI and foundation models to boost productivity, innovate, enhance customer experiences, and gain a competitive edge. Watsonx.data on AWS: Imagine having the power of data at your fingertips.

AWS 121

AWS Data Warehouse AI AI 121

phData

NOVEMBER 8, 2024

Versioning also ensures a safer experimentation environment, where data scientists can test new models or hypotheses on historical data snapshots without impacting live data. Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature. FAQs What is a Data Lakehouse?

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

AWS Machine Learning Blog

FEBRUARY 28, 2023

Then, it uses that data with serverless components and no-code self-service solutions like Amazon SageMaker Canvas to eliminate the ML modeling complexity and abstract away the underlying infrastructure. A modern data strategy gives you a comprehensive plan to manage, access, analyze, and act on data.

ML 96

ML ML AWS Machine Learning 96

IBM Journey to AI blog

SEPTEMBER 11, 2023

Db2 can run on Red Hat OpenShift and Kubernetes environments, ROSA & EKS on AWS, and ARO & AKS on Azure deployments. Customers can also choose to run IBM Db2 database and IBM Db2 Warehouse as a fully managed service. Db2 database SaaS is a fully managed service for a high – performance, transactional workload.

Database 101

Database SQL Data Warehouse Machine Learning 101