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IIoT Top News: Long Live Big Data!

As the IIoT continues to improve the way in which we collect and translate information, the buzzword on everyone’s mind today is “big data.” In fact, the market just for big data software is expected to grow 50 percent by 2019, and furthermore, spending in 2015 is already estimated at $15.85 billion on this technology.

Why so much investment?

The expectation is that big data initiatives will improve operational efficiencies by the large-scale storage and transfer of volumes of information safely and securely. Companies don’t always see the value in updating their information governance policies because there isn’t always a direct reward and no direct penalty for not complying. Tim Jennings, Ovum chief research officer, believes as big data continues to grow enormously within the company infrastructure, it is time to consider the security, availability, and time spent storing data.

“It’s not a question of if you’ll have a data breach; it’s when you’ll have a data breach. We tend to forget that inadvertent data disclosure has a lot of problems with it, and it’s a big portion of why these problems come up,” said David Horrigan, e-discovery counsel and legal content director at e-discovery software provider kCura, in an interview.

Nowadays, big data is working together with predictive analytics to derive even more intelligence. Forrester calls the use of predictive analytics a game changer with big data computing models and modern software tools used throughout the enterprise. In particular, disparate legacy systems can now integrate easier with the advancement and convergence of IoT, big data and predictive analytic tool solutions. Let’s face it – big data is here to stay, so businesses today need to find out ways to derive as much value out of their data as possible.

This week, big data continued to flow like a waterfall in springtime, as manufacturing grapples with enabling quality control to its big data infrastructure. Next up, as more data is collected, Alex Espenson explains that companies are dancing the ethical lines of who owns the valuable big data. A little later in the week, the industrial digital age seems to have fully come alive with big data, sensors, and real-time data communications, as everything is connected within the context of IoT – according to Bill Tucker. Finally, we finish the week with Jessica Davis on learning how to avoid common pitfalls when using big data throughout the business.

Hope you enjoy this week’s selection!

Big Data and Quality Control (Automation World)

Big Data

As manufacturing digitizes, the need for exceptional quality control remains present. The trick comes with integration of both the big data and the disconnected quality control. Bilal Paracha suggests, “the pairing of in-line, non-contact quality control with Big Data provides a deeper insight into the manufacturing line. It also provides integration and historical connection between quality data and process data.”

 

Ethics of Big Data (Tech.CO)

big-dataEthics

Big data has been defined as information that has been either unstructured or multi-structured as way to transform data into value. Once you have given value to the data, it is important to realize who owns the data. Tech.CO has says that, “when it comes to big data ethics, privacy is not necessarily dead, shared information can still have a reasonable degree of confidentially, but big data can still compromise identity and other information that customers and businesses prefer to be confidential.”

 

Big Data Goes to Work (Forbes)

BigDataWork

Everywhere you go someone is talking about big data. It is hard to grasp the magnitude of data transferred throughout the cloud. Today big data goes to work, transforming industrial facilities as Forbes states that, “they have grown increasingly complex and yes, every machine, every pipeline, every transmission point collects data ready to be read.”

 

Big Data Fails: How to Avoid Them (Information Week)

BigDataFail

Your company has embraced big data, now what do you do with it? EMC’s Global Services chief, Bill Schmarzo enlightens companies on how to avoid big data fails in your business. Schmarzo believes that, “companies that run into the most trouble are those in which data is in silos, and the thinking about that data is also in silos.”

The post IIoT Top News: Long Live Big Data! appeared first on FreeWave WaveLengths.

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More Stories By Scott Allen

Scott is an executive leader with more than 25 years of experience in product lifecycle management, product marketing, business development, and technology deployment. He offers a unique blend of start-up aggressiveness and established company executive leadership, with expertise in product delivery, demand generation, and global market expansion. As CMO of FreeWave, Scott is responsible for product life cycle/management, GTM execution, demand generation, and brand creation/expansion strategies.

Prior to joining FreeWave, Scott held executive management positions at Fluke Networks (a Danaher Company), Network Associates (McAfee), and several start-ups including Mazu Networks and NEXVU Business Solutions. Scott earned his BA in Computer Information Systems from Weber University.

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