Why Tech Companies Need To Embrace Equity, Diversity And Inclusion

— Control Engineering

The high-tech sector tends to lag behind when it comes to gender parity and diversity. But diverse companies perform better and increase employee satisfaction.

The Data Science Dilemma

— Control Global

As process manufacturers catch the data science wave, they face an early decision of whether to upskill or onboard. There are pros and cons to each strategy.

Analytics Provide Process Insights

— Efficient Plant

Advanced-analytics tools make it possible for engineers and other SMEs to greatly increase productivity and overall plant reliability.

Advanced Analytics Improve Process Optimization

— Control Engineering

Success stories show how advanced analytics software is used to create insights and improve process efficiency. See three use case examples.

Bridging On-Premise and Cloud Data

— ISA.org

Hybrid data architectures empower process manufacturers to more quickly realize the business benefits from their cloud and IIoT investments.

Leading the Way to Workforce Optimization

— Manufacturing Leadership Council

In a difficult hiring environment, investing in staff and fostering employee-focused cultures are essential.   

Advanced Analytics Applications Power Predictive Maintenance Efforts

— Power Magazine

Moving from reactive to predictive maintenance requires the right tools for use by subject matter experts.

Provide Learning Time

— Efficient Plant

You’ve escaped pilot purgatory, cleared organizational obstacles, and are now in position to implement an advanced analytics system that will significantly improve manufacturing performance.

Accelerating And Expanding Process Control Benefits

— Hydrocarbon Processing

Advanced industrial data analytics has a prominent role to pay in process control and automation. The success of process control and automation efforts depends on the skilled design and automation of process behavior understanding. Advanced analytics applications enable the integration of the process understanding with process - and equipment - related relationships, which can be gleaned from historical process data by subject matter experts (SMEs) using advanced analytics.

Unlocking value from data

— Process & Control

In the age of the industrial internet of things (IIoT) and Industry 4.0, the sheer amount and complexity of data has greatly increased. Add the emergence of artificial intelligence (AI) and machine learning (ML), and the process industries have the potential to uncover more meaningful insights than ever before.