Improving Quality Through Data Analytics


Doug Elder, vice president and general manager at OptimalPlus, explains how to utilize data to improve reliability, how it applies to different manufacturing processes, and what happens when that data is made available to more people within an organization. » read more

Solving 5G’s Thorniest Issues


5G rollouts are beginning to hit the market, accompanied by a long list of unsolved technical and business issues surrounding this next-generation wireless technology. But progress is being made on some of the key challenges facing this technology, even though not all of those solutions will be in place at launch. The real challenges are with millimeter-wave implementations of 5G, which oper... » read more

Manufacturing ADAS Cameras Calls For Analytics


Automotive camera design and manufacturing is one of the most difficult undertakings in hardware. Not only do you need to deal with the usual difficulties of high performance mechanical and electrical designs, but now highly specialized and sensitive optics are added into the equation. Complicating factors is that you won’t know how good the product is until it’s been completely assembled, ... » read more

Smart Manufacturing Solutions: Build or Buy?


Enterprise smart manufacturing platforms have become an important part of the manufacturing ecosystem, especially in domains such as semiconductors and electronics. McKinsey & Company estimates, for example, that the quantity of process, product, and machine data collected on a daily basis in a typical fab quickly exceeds terabytes. If you add to this in-line and end-of-line inspection as w... » read more

Thinking Differently About IIoT Analytics


Manufacturers are rushing to keep up with the latest technology trends and perhaps the most significant ones are around the smart factory. Whether you call it Industry 4.0, Smart Manufacturing or the Industrial Internet of Things (IIoT), what all these initiatives have in common is the desire to maximize value from manufacturing data and improve overall manufacturing efficiency. With the ave... » read more

Data Confusion At The Edge


Disparities in pre-processing of data at the edge, coupled with a total lack of standardization, are raising questions about how that data will be prioritized and managed in AI and machine learning systems. Initially, the idea was that 5G would connect edge data to the cloud, where massive server farms would infer patterns from that data and send it back to the edge devices. But there is far... » read more

The 3 Big Data Mega Trends For Manufacturing


By Michael Schuldenfrei In today’s global, highly competitive economy, industrial companies are under intense pressure to lower manufacturing costs and streamline processes without compromising quality. Production managers are expected to contribute to improved business outcomes through ultra-efficient use of raw materials, near-zero production downtime, streamlined labor costs, and agile wo... » read more

Gaps Emerge In Automotive Test


Demands by automakers for zero defects over 18 years are colliding with real-world limitations of testing complex circuitry and interactions, and they are exposing a fundamental disconnect between mechanical and electronic expectations that could be very expensive to fix. This is especially apparent at leading-edge nodes, where much of the logic is being developed for AI systems and image se... » read more

Data Sharing And Digital Threads


Electronics and the components that power them are more complex and advanced than ever. With these products an integral part of our daily lives, their reliability has become nothing less than mission-critical. As the demand for components accelerates, it is important that quality is not compromised under the pressure to meet quantity requirements. Otherwise we’re going to be seeing a lot of r... » read more

New Approaches To Security


Different approaches are emerging to identify suspicious behavior and shut down potential breaches before they have a chance to do serious damage. This is becoming particularly important in markets where safety is an issue, and in AI and edge devices where the rapid movement of data is essential. These methods are a significant departure from the traditional way of securing devices through l... » read more

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