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    McKinsey & Company Calls for Disruption

    by David Park | June 13, 2017
      Semiconductor fabs are under significant pressure to increase efficiencies and get quality products to market in less time. In parallel, they face ever-growing complexities in managing the production environment, which make that goal even harder to achieve. Test and verification times during the design process have shown an industry-wide increase of 50%. The NPI process can involve 12-18 months of debugging before a new product is ready for ramp up. 30% of capital expenditures during assembly and test relate to tests that do not add value – but are nonetheless necessary. All of this points to the need for […]
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    What we do with IoT analytics is really cool. Just ask Gartner.

    by David Park | 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 David Park | 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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    No Company is an Island – CES 2017

    by David Park | January 13, 2017
    Almost 400 years ago, John Donne penned the phrase, “No man is an island, entire of itself…” – words that continue to resonate today. Few would disagree on the need for collaboration, but humans as well as companies can often behave as if it is otherwise. Industry promotions often imply customers need look no further beyond a single entity. The reality is that no company is an island, nor is any solution for that matter; effective solutions and systems (especially in the electronics market segment) do not operate in a vacuum and success is often accomplished by providing a distinctive […]
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    Going where no one has gone before…

    by David Park | 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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    NPI for Semiconductor Characterization

    by David Park | November 3, 2016
    The unrelenting pressure for semiconductor manufacturers to get a high quality, competitively priced product tested and to market on time is a continual reality. It is not a static scenario; the need to innovate and update processes is constantly ongoing due to device proliferation and market innovation. Device characterization is an area of process and product innovation where the ability to collect and manage large amounts of data can directly shorten a device’s time to market. Characterization is normally performed on relatively few devices, but each individual device can be tested tens or hundreds of times per part, which creates […]
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    Improving the semiconductor industry through advanced analytics

    by David Park | October 30, 2016
    Recently, an article from global management consulting firm McKinsey & Company, “Improving the semiconductor industry through advanced analytics,” highlighted the benefits and adoption level of advanced analytics in the semiconductor industry – a subject we and our customers are intimately familiar with. McKinsey observes that the adoption level is low for the industry considering its clear benefits, and cites numerous functional area examples to show what’s being left on the table when semiconductor manufacturers don’t employ advanced analytics. We recommend reading the article (link follows below), but we thought it worthwhile to explore some major aspects of the article that […]
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    IoT Solutions World Congress (IoTSWC16) Kicks Off Next Week

    by David Park | October 20, 2016
    The 2nd Annual IoT Solutions World Congress (IoTSWC16) begins next Tuesday, Oct. 25 and boasts some of the world’s most influential IoT companies as attendees. More than 8,000 attendees from around the globe will come to IoTSWC16 to learn about the latest IoT solutions trends in six dedicated areas: manufacturing, healthcare, energy and utilities, transportation and logistics, as well as innovation and technology.  The conference is held in partnership with the Industrial Internet Consortium founded by AT&T, Cisco, General Electric, IBM and Intel.  The goal of the show and consortium is to accelerate the growth, adoption and widespread use of […]
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    Smarter Big Data Analytics for Distributed Semiconductor High Volume Manufacturing (Video)

    by David Park | September 28, 2016
    Semiconductor companies are racing to compete in the highly competitive IoT era, developing products that will collect and transmit sensor data between objects, animals and people for countless applications.  From a manufacturing perspective, these companies must also excel in the IIoT (Industrial Internet of Things) by aggregating and analyzing terabytes of data to continually improve product yield, quality and productivity.  However, many companies do not have the internal expertise to collect, let alone analyze the billions of data points that are generated from manufacturing operations quickly enough to make impactful decisions. In his latest video, Optimal+ CTO Michael Schuldenfrei discusses […]
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    Bringing Quality to Electronics Manufacturing

    by David Park | August 2, 2016
    Since our founding, our core mission has been to improve the quality of the semiconductor chip by using in-depth information to better identify problems and to provide insights into global manufacturing operations. After all, the semiconductor is a core element of the electronics’ platform, and its distributed global manufacturing process significantly benefits from information that enables real-time and centralized decision making. In 2015 alone, we analyzed over 35 billion semiconductor chips, enabling our customers to increase quality, improve yield and ultimately increase return on investment. At this stage in the journey, it has become clear that not only are we […]
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