Remove Architecture Remove Artificial Intelligence Remove Big Data Remove Business Intelligence
article thumbnail

What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data 132
article thumbnail

What you don’t know about data management could kill your business

CIO Business Intelligence

But at the other end of the attention spectrum is data management, which all too frequently is perceived as being boring, tedious, the work of clerks and admins, and ridiculously expensive. Still, to truly create lasting value with data, organizations must develop data management mastery. And here is the gotcha piece about data.

Data 131
Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

Top 8 predictive analytics tools compared

CIO Business Intelligence

Predictive analytics tools blend artificial intelligence and business reporting. Supports larger data management architecture; modular options available. Turning good artificial intelligence algorithms into productive insights is the main goal of H2O.ai’s AI Cloud. What are predictive analytics tools?

Tools 137
article thumbnail

How to enable cultural change through cloud adoption

CIO Business Intelligence

2] In fairness to your CIO, who is dealing with mountains of old software, hardware, and networks, adopting cloud architecture isn’t free or easy. But hyperscale cloud tools allow you to quickly innovate (or to quickly counter a competitor’s innovation). It needs investment along with C-suite/board commitment!

Cloud 115
article thumbnail

Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations.

article thumbnail

A Golden Era of HPC in Government Meets Accelerating Demands

CIO Business Intelligence

They include the Intelligence Advanced Research Projects Activity (IARPA) and the National Institute of Standards and Technology (NIST) that handle scientific and engineering research using artificial intelligence, quantum computing, and synthetic biology. New Applications, New Architectures.

article thumbnail

Digital listening reveals 3 leading innovation drivers

CIO Business Intelligence

In six short months, ChatGPT propelled artificial intelligence (AI) into the minds and imaginations of the masses more than any other development since the term “AI” was coined in 1956. According to research sponsored by techradar.pro, an astonishing 39% of U.S. adult web users surveyed have used one or more generative AI tools.