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Phillips 66 is driving to expand its advanced analytics capabilities with an investment supporting Seeq, a developer of software applications for analyzing and sharing insights on process manufacturing data.

At AWS, we build technology to help customers and partners such as Coca Cola İçecek, Yara, Lyell Immunopharma, Hitachi Vantara, Embassy of Things, TensorIoT, Element Analytics, and Seeq solve real world problems like minimizing equipment downtime, maximizing product quality, and ensuring personnel safety.

The predictive analytics era redefines how process manufacturers care for critical equipment.

Though it represents one of the greater job skill challenges for new entrants, technology is increasingly viewed as a key attractor for the next-generation industrial workforce.

Find out in this Take Five video why the use of remote access tends to be higher in the processing industries than in discrete manufacturing and where processing companies tend to use the technology most.

Analytics has had a rough go of it in the last couple of decades with marketing abuse and over-saturation of messaging, but a new generation of solutions will deliver on the promises and potential of innovation.

Excessive data cleansing is often performed automatically and can prevent insights from being uncovered, but advanced analytics software helps users dig into the dirt for better analytics.

Seeq's Emily Johnston describes how advanced analytics can be used to improve cement production (page 23).

Seeq partners with cloud computing giants to deliver significant benefits to enterprises in the era of remote working.

Some chemical plant managers avoid the topic of predictive analytics because they believe data must be migrated to the cloud and that only data scientists can create data insights. However, this simply isn’t the case. With the proper tools and a live connection to the source data system, an existing workforce can generate advanced analytics and reap significant benefits.