tag: data analytics

Big Shifts In Big Data
By Ed Sperling - 09 Jul, 2019 - Comments: 0

The big data market is in a state of upheaval as companies begin shifting their data strategies from "nothing" or "everything" in the cloud to a strategic mix, squeezing out middle-market players and changing what gets shared, how that data is used, and how best to secure it. This has broad implications for the whole semiconductor supply chain, because in many cases it paves the way for ... » read more

Factoring Reliability Into Chip Manufacturing
By Ed Sperling - 20 Jun, 2019 - Comments: 0

Making chips that can last two decades is possible, even if it's developed at advanced process nodes and is subject to extreme environmental conditions, such as under the hood of a car or on top of a light pole. But doing that at the same price point as chips that go into consumer electronics, which are designed to last two to four years, is a massively complex challenge. Until a couple of y... » read more

Thinking Differently About IIoT Analytics
By Michael Schuldenfrei - 17 Jun, 2019 - Comments: 0

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
By Ed Sperling - 11 Jun, 2019 - Comments: 0

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 Optimal Plus - 11 Jun, 2019 - Comments: 0

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

Week in Review: IoT, Security, Auto
By Jeff Dorsch - 07 Jun, 2019 - Comments: 0

Products/Services Achronix Semiconductor selected the Rambus GDDR6 PHY for its next-generation Speedster7t line of field-programmable gate arrays. The Rambus GDDR6 PHY is used in advanced driver-assistance systems, artificial intelligence, graphics, machine learning, and networking applications. Arm and Marvell Technology Group will work together on design and development of Marvell’s nex... » read more

Controlling Variability And Cost At 3nm And Beyond
By Ed Sperling - 22 May, 2019 - Comments: 1

Richard Gottscho, executive vice president and CTO of Lam Research, sat down with Semiconductor Engineering to talk about how to utilize more data from sensors in manufacturing equipment, the migration to new process nodes, and advancements in ALE and materials that could have a big impact on controlling costs. What follows are excerpts of that conversation. SE: As more sensors are added int... » read more

New Battleground In The Data Race
By Ed Sperling - 12 Mar, 2019 - Comments: 0

For the past couple years, giant commercial data centers have been grabbing as much data as possible. The big question now is whether that investment will pay off. Companies such as AWS, Google, Microsoft, Alibaba and Baidu are not necessarily the best equipped to leverage that data—or at least not yet. In fact, most of what they've been focusing on is a narrow slice of the data being coll... » read more

Domain Expertise Becoming Essential For Analytics
By Ed Sperling - 12 Mar, 2019 - Comments: 0

Sensors are being added into everything, from end devices to the equipment used to make those sensors, but the data being generated has limited or no value unless it's accompanied by domain expertise. There are two main problems. One is how and where to process the vast amount of data being generated. Chip and system architectures are being revamped to pre-process more of that data closer to... » read more

Using Data Analytics More Effectively
By Sharon Shafran - 13 Feb, 2019 - Comments: 0

The semiconductor industry is under a lot of pressure from their customers nowadays. They’re expected to keep up with consumer expectations for shorter electronic product life cycles, without compromising on the reliability and quality of the components and products coming off the line. A recent article from McKinsey & Company, however, describes how quality procedures have become a bottl... » read more

← Older posts Newer posts →

  • Sponsors

About

Navigation

Connect With Us

Copyright ©2013-2024 SMG   |  Terms of Service  |  Privacy Policy