Remove Data Enablement Remove Data Warehouse Remove Optimization Remove ROI
article thumbnail

Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

article thumbnail

CFO Panel: Generating Value in a Post-Pandemic Market

Jet Global

Peter van Tiggelen: There’s a lot more scrutiny around cost and the capital deployed on the ROIs of the investments we are making. We’ve hired a client system specialist … to have somebody on our team who understands finance and has an accounting background and the systems background to optimize that.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Your Data Architecture Holds the Key to Unlocking AI’s Full Potential

CIO Business Intelligence

In one Forrester study and financial analysis, it was found that AI-enabled organizations can gain an ROI of 183% over three years. AI working on top of a data lakehouse, can help to quickly correlate passenger and security data, enabling real-time threat analysis and advanced threat detection. MB every second.

article thumbnail

The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

See recorded webinars: Emerging Practices for a Data-driven Strategy. Data and Analytics Governance: Whats Broken, and What We Need To Do To Fix It. Link Data to Business Outcomes. Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? Data management.

article thumbnail

Introducing watsonx: The future of AI for business

IBM Big Data Hub

A foundation model thus makes massive AI scalability possible, while amortizing the initial work of model building each time it is used, as the data requirements for fine tuning additional models are much lower. This results in both increased ROI and much faster time to market.