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.
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.
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.
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.
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.
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.
Seamless, Smart Inspection. Designed to work with existing inspection hardware and software, the embedded platform integrates plug-in vision inspection AI skills, a user-friendly approach to integrate custom capabilities, and a powerful NVIDIA GPU to accelerate the development of more advanced machine learning and computer vision algorithms.