The Pipeline industry requires innovative and effective decision making methods that are supported with data and analytics.

Performing digs that are not necessary and that could be deferred negatively impacts company bottom lines and operations.

Pipelines are key to Alberta's oil and gas, but they fail and traditional integrity decision making isn't sufficient to prevent incidents.

Data science projects entail trial and errors, but you can increase your success rate by using Integra's lesson's learned.

Have you recently hired a data scientist to make sense of your data but run into all sorts of challenges such as lack of quality data,...

Data is growing exponentially (175 ZB by 2025 according to IDC) so does the need for insights, as John Naisbitt quotes “We are drowning...

This article is intended for decision makers who have a mission to enable advance analytic capabilities (Artificial Intelligence and...

Electricity cost in upstream, midstream and downstream processes are one of the largest controllable operating expenses. Not only...