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    Meet us at Bosch Connected World 2019!

    by Shlomit Tevet | May 7, 2019
    Meet us at Bosch Connected World 2019! We are excited and proud to be a silver sponsor for the upcoming Bosch Connected World 2019 – Europe’s leading conference on IoT and Digital Transformation which takes place in Berlin on May 15-16. We invite you to stop by booth #SO2 where you can meet our team of experts and learn about big data analytics solutions for the automotive industry. Learn how automotive manufacturers are embracing the digital revolution. Download our free eBook >>
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    A digital thread in the age of machine learning demands data sharing

    by Michael Schuldenfrei | April 14, 2019
    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 recalls at the end of the digital supply chain. According to NHTSA data from 2007 to 2016 the automotive industry encountered this very issue, with car recalls due to electronics increasing threefold. To ensure that product reliability keeps […]
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    The 3 main obstacles to zero DPPM and how to overcome them

    by Randy Hierbaum | March 6, 2019
    As we all well know, there are multiple mission critical applications in today’s “Age of Smart,” that are calling for zero DPPM (defective parts per million) in semiconductors and electronic systems. In industries such as automotive, medical, aerospace, and more, where lives are at stake, defective parts are not an option. The quality imperative However, with the ever-growing complexity of technologies and supply chains, achieving zero DPPM seems more than ever to be an ambitious, unattainable goal. While improving test quality can decrease faults to a point, this alone will not move the needle. Namely, we are still left with […]
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    New approach to extend your test data analytics capabilities and capacity

    by Sharon Shafran | February 6, 2019
    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 bottleneck in the drive to reduce time-to-market: “Lead times for bringing integrated circuits to market have been gradually rising with each node. New design and manufacturing techniques account for some of the increase, but more complex inspection, testing and validation procedures also […]
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    Your Data is a Gold Mine

    by Michael Schuldenfrei | June 4, 2018
    Companies often face manufacturing problems to which there is no readily apparent solution. When combining parts from different suppliers, both internal and external, how can they maintain the highest level of quality at all stages? Better yet, when quality issues do arise, how can they report them both upstream and downstream? Can they see the manufacturing performance in real time? Or is the data available for analysis only later on in the production process? For each of these questions, companies today need a clear answer. They need highly effective tools geared towards precise predictions and analysis to bring about a […]
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    What Machine Learning can do for Manufacturing

    by Michael Schuldenfrei | May 15, 2018
    Yield analysis and faulty wafer detection are examples of tasks that would be tedious or impossible to program a computer to do by hand. We’ve designed computer programs that have learned and evolved so they could learn those skills for us. This process is called Machine Learning, and it is changing industries all over the world. Machine Learning is capable of noticing patterns that people miss. Machines can sift through overwhelming amounts of data, and correlate events across time spans and different data sources simply too big for humans to understand. Machine Learning helps organizations manage complexity, change, and uncertainty, and does […]
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    Data Sharing in the Age of Machine Learning Demands a Digital Thread

    by Michael Schuldenfrei | April 22, 2018
    Electronics, and the components that power them, are more complex and advanced than ever. As these technologies become a part of our everyday lives, their quality is more mission-critical than ever. At the pace which the demand for components is increasing, there’s no time for quality to lag behind under pressures to meet demands for quantities. This is a sure-fire way to guarantee a recall at the end of the digital supply chain. According to data from NHTSA, from 2007 to 2016, the automobile industry experienced this very issue when car recalls due to electronics increased threefold. To assure that quality […]
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    What we do with IoT analytics is really cool. Just ask Gartner.

    by Michael Schuldenfrei | June 6, 2017
    It’s not every day that big data analytics for semiconductor and electronics manufacturing gets the cool label. But that’s precisely what Gartner did in recognizing Optimal+ as a Cool Vendor in IoT Analytics for 2017. So what’s so hot about our offering that that we get kudos for being cool? We may be living in the age of the Internet of Things (IoT) but its success ultimately hinges on assuring the Quality of Things (QoT). Bottom line, no one wants an expensive piece of technological wonder that leaves them wondering why they bought it in the first place. With so […]
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    Another Often Overlooked Benefit of Leveraging Big Data in IIoT

    by Michael Schuldenfrei | June 1, 2017
    It’s all about the product, isn’t it? Corporations large and small are dedicated to manufacturing quality products to satisfy their respective customers. They are also committed to leveraging new technologies and methods that will improve the customer experience and yield. The advent of the Industrial Internet of Things (IIoT) will enable deeper connectivity and information sharing across organizations, and will also provide a positive impact that improves manufacturing processes. However, there is still more to be gained by applying big data analytics to improve individual product quality. With the current IIoT emphasis on process improvements, the need for “product analytics” […]
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    Going where no one has gone before…

    by Shlomit Tevet | December 11, 2016
    It is perhaps a bit early for the “final frontier” in big data. But there are frontier elements of exploration and discovery that are often hard to articulate in a practical manner amidst the hyperbolic big data claims in the industry. As with other “leading-edge” predictions, a concrete example that provides the contrast of what was before and what will be, often helps clarify the intangible new technology’s promise. With 20-20 hindsight, countless examples of technology innovations have provided a window into future discoveries, heralding the transition from vacuum tubes to solid-state transistors and “dial-in” to Wi-Fi. Each invention brings […]
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