Remove Business Intelligence Remove Contextual Data Remove Data Warehouse Remove Technology
article thumbnail

Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. It can also be challenging to operationalize data analytics models.

article thumbnail

The Future of AI in the Enterprise

Jet Global

The business world is at an inflection point when it comes to the application of Artificial Intelligence (or AI). Enter business intelligence (or BI) software. Regardless of where you’re landing in regards to Artificial Intelligence and Business Intelligence, one thing is true: you’ll need to have data to feed both.

Insiders

Sign Up for our Newsletter

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

article thumbnail

The Future of AI in the Enterprise

Jet Global

The business world is at an inflection point when it comes to the application of Artificial Intelligence (or AI). Enter business intelligence (or BI) software. Regardless of where you’re landing in regards to Artificial Intelligence and Business Intelligence, one thing is true: you’ll need to have data to feed both.

article thumbnail

Five benefits of a data catalog

IBM Big Data Hub

It uses metadata and data management tools to organize all data assets within your organization. It synthesizes the information across your data ecosystem—from data lakes, data warehouses, and other data repositories—to empower authorized users to search for and access business-ready data for their projects and initiatives.

article thumbnail

Regeneron turns to IT to accelerate drug discovery

CIO Business Intelligence

In that capacity, he knew that, in addition to having the right team and technical building blocks in place, data was the key to Regeneron’s future success. “It It is all about the data. Everything we do is data-driven, and at that time, we were very datacenter-driven but the technology had lots of limitations” says McCowan. “It

Data Lake 106