Data Opportunities in Insurance – Silicon Valley Data Science

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Trends in Data-Driven IoT – Silicon Valley Data Science

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Getting Started with Predictive Maintenance Models

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May 18th, 2017 Editor’s note: Welcome to Throwback Thursdays! Every third Thursday of the month, we feature a classic post from the earlier days of our company, gently updated as appropriate. We still find them helpful, and we think you will, too! The original version of this post can be found here. There’s a running …

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May 16th, 2017 In a previous post, we introduced an example of an IoT predictive maintenance problem. We framed the problem as one of estimating the remaining useful life (RUL) of in-service equipment, given some past operational history and historical run-to-failure data. Reading that post first will give you the best foundation for this one, …

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With Monitoring and Alerting  |  May 11th, 2017 Do you fully understand how your systems operate? As an engineer, there is a lot you can do to aid the person who is going to manage your application in the future. In a previous post we covered how exposing the tuning knobs of the underlying technologies …

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May 9th, 2017 One of the benefits of being co-chair for this June’s Spark Summit (June 5-7, San Francisco) is the insight into how this technology is being used in leading companies. In particular, I am excited to see evidence of an important pattern: the creation of internal service platform to meet the data science …

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May 4th, 2017 Interested in how AI is being applied out in the real world? Check out the stories below, ranging from fighting food insecurity, to a very low-level version of a butler. Farm robots—The FarmView project out of Carnegie Mellon University is focused on how technology can help farmers. This article looks at how …

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May 2nd, 2017 If you’ve attended a data industry conference in the last three years, you may well have noticed our Developing a Modern Enterprise Data Strategy tutorial. In it, we explain our method for data strategy, and equip you with the language and tools make the case for data strategy in your own organization. …

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When technology isn’t enough  |  April 27th, 2017 In a previous post on data maturity, we discussed a company that was just embarking on a transformation: launching a new services business and building data capabilities to support that business. But what if you’re not starting from the beginning? What if you’ve already been embracing new …

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When technology isn’t enough  |  April 27th, 2017 In a previous post on data maturity, we discussed a company that was just embarking on a transformation: launching a new services business and building data capabilities to support that business. But what if you’re not starting from the beginning? What if you’ve already been embracing new …

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First steps in data strategy  |  April 12th, 2017 Businesses today are experiencing rapid change, inside and outside of Silicon Valley. Even coffee isn’t immune—just last year, Starbucks crossed the threshold of more than 20% of transactions being done in their mobile application. Data is the currency of digital transformation, and data capabilities are the …

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April 19th, 2017 If you are on the path to being a data-driven company, you have to be on the path to being a development-enabled company. While people often spend a lot of effort choosing software components for their enterprise data infrastructure, they overlook the tools and processes that will make those software choices valuable. …

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