The Earth's environment is in code-red status, but new digital solutions can meet the challenge.

Plant controller systems based on static models are not responsive enough to adapt to changes and prescribe actions to insure optimal outcomes. As a result, set points are adjusted every now and then by operators who hunt for good conditions.

AIoT and Edge Analytics: a Powerful Combination

Swedish philosopher Nick Bostrom once said, "machine intelligence is the last invention that humanity will ever need to make". AI decision making, with real time communication and data analytics, has the ability to transform the way manufacturers understand machines.

Variability Reduction: Why Important To Manufacturers?

A routine issue faced by most manufacturers is their process variation. Variability in the process can wreak havoc on product quality and customer satisfaction. Also, it has a severe impact on revenue, cost, and margins.

How Does the New Generation Memory - DDR5 - Change Things?

With more and more data comes the need for storage and fast access which means that technology like DDR5 has never been more important.

How Manufacturers are Leveraging New Technology to Meet Customer Demands

AI-guided selling enables analytics to move from descriptive to predictive and prescriptive analytics. The process uses customer and sales data for a scientific, data-driven approach to understand buyer processes and behaviors.

Quality 4.0 Takes More Than Technology

According to a recent report from Boston Consulting Group (BCG), "Quality 4.0 Takes More Than Technology," nearly two-thirds of manufacturers believe that Quality 4.0 will significantly affect their operation within five years.

Predictive Analytics vs Machine Learning

Machine learning is a continuance of the perceptions around predictive analytics, except that the AI system is able to make assumptions, test them and learn autonomously.

Could Predictive Analytics Help Tesla Drop the Cost of the Battery Pack to $100 per kWh?

The battery pack cost of $100/kWh is a primary target for Tesla. To achieve this, the company must solve one of the world's most demanding technology challenges - and it is how to increase the volumetric energy density of battery cells while slashing production costs.

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