Finding common ground between industrial automation and mobile technology
Mobile technologies are challenging traditional data handling practices as they move into the industrial arena.
Improve decisions by optimizing data from mobile devices
Good mobile software promotes efficiency by delivering data on intuitive screens that empower users to integrate information and saves trips back to the control room or to the site.
The data historian’s history told
Momentum around time-series data storage suggests a new chapter for a legacy offering.
Three data types companies need to prioritize
Not all data is equal and some require greater attention and priority than others. Industrial companies managing networks need to focus on information-based, mission critical and real-time data.
Machine-learning algorithms used to make agriculture taste better
MIT researchers have developed a method using machine learning to reveal optimal growing conditions to maximize taste and other features.
Researchers develop architecture to reduce data center energy and space constraints
MIT researchers have developer a flash-storage system designed to cut the energy and physical space required to store and manage data in data centers by half.
Top 5 Control Engineering articles March 18-24
Articles about low-power hybrid chips for robots, gaining the edge in automation, connecting quality and process data, manufacturing and process facility trends, and the Engineers' Choice Awards were Control Engineering’s five most clicked articles from March 18-24. Miss something? You can catch up here.
Connecting quality data to process data
Using advanced analytics can help assure product quality and overall operational efficiencies. See case study example.
Resolve five Big Data, data acquisition challenges
Demystify the need for Big Data and five related challenges: data structure, scalability, integration, storage, and upgrades.
Automation trends, insights from a new company president
Companies need to be open to new technologies to see fundamental paradigm shifts in productivity, beyond incremental improvements. Rapid increases in productivity, visibility, flexibility, and agility are needed.