article thumbnail

Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

article thumbnail

Achieving Trusted AI in Manufacturing

Cloudera

Here are some of the key use cases: Predictive maintenance: With time series data (sensor data) coming from the equipment, historical maintenance logs, and other contextual data, you can predict how the equipment will behave and when the equipment or a component will fail. Eliminate data silos.

Insiders

Sign Up for our Newsletter

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

article thumbnail

BRIDGEi2i Newsletter: July 2021 Recap

bridgei2i

From being a pure-play analytics startup in a garage to a global AI partner for Fortune 500 companies… It’s been a remarkable and rewarding journey so far! The emergence of IoT, cloud computing, and big data analytics combined with AI tech has brought enterprises to a tipping point in their journey towards making AI real.

article thumbnail

OCBC Bank Accelerates Its Data Strategy with Cloudera 

Cloudera

OCBC identified the need to upgrade its data lake technology as part of an enterprise data science initiative to introduce a more resilient infrastructure and platform capable of managing projects with increasing volume, variety and velocity of data, while also enabling real-time analytics. .