Predictive analytics in manufacturing is a technique that uses statistical tools to predict the future events by making use of data from the past and present. In the era of smart manufacturing, ...

China is prioritizing predictive analytics to close the gap with the U.S. and create competitive advantage through High Performance Computing (HPC). These and other key takeaways are from the Deloitte ...

- Advent of Industry 4.0, evolution of IIoT, and increase in operational efficiencies from big data initiatives drive the growth of the global manufacturing predictive analytics market PORTLAND, ...

Manufacturing predictive analytics is gaining traction as industries seek to optimize their operations, reduce downtime, and improve overall efficiency. This report provides a comprehensive analysis ...

Data is said to be the gold of the 21st century, but is that true? Even with trillions of lines of data in your database, you won’t be mining any gold – unless you understand what the data means. Here ...

Successful modern manufacturing means making the most of cutting-edge technologies. One advance that has reshaped manufacturing practices is the incorporation of data analytics. Data analytics unlocks ...

An intelligent manufacturing framework integrates robotics, IoT monitoring, and data analytics to optimize automotive production. The research ...

ETQ, a Hexagon business, recently launched the ETQ Reliance® predictive quality analytics solution, bringing Artificial Intelligence-driven analytics to its quality management system (QMS.) ETQ ...

Leveraging advances in automation and predictive analytics is essential to stay competitive in today’s economy. The rise of automation began many years ago, and the adoption of robotic manufacturing ...

The United States is expected to pass China become the No. 1 global manufacturing economy by 2020 courtesy of technologies such as the Internet of things, analytics, robotics and other advanced ...

68% of manufacturers are currently investing in data analytics. 46% of manufacturers agree that implementing and using data analytics is no longer optional. 32% see the potential for big data ...