When people think of the Internet of Things, they often focus just on the “things,” but it’s also about the communications infrastructure and the datacenter, and both are essential aspects to creating innovative IoT solutions that can affect significant change. That’s why Intel and our customers are on the front lines of this big data revolution. It’s an exciting time, as we are seeing the benefits of data analytics leading to efficiency and insight in many industries.
Big data is only “big value” if companies can use Internet of Things technologies to overcome scalability and interoperability issues to efficiently capture information, analyze it in real time or near-real time, make decisions, and implement improvements that affect demonstrable change. In the manufacturing sector, these could be changes that improve product yields, quality, or factory uptime.
That’s one of the reasons Intel truly values our relationship with National Instruments—with NI’s collaboration, we can better understand the pulse of the market and see what real implementation looks like. In collaboration with NI, Intel engineers are focused on equipping customers with solutions to extract and analyze vast amounts of data in meaningful ways. If IoT is about moving from the transmission of raw data to local compute platforms, we know that by placing real intelligence at the point of data, you can determine which data to save and which to send to the data center. Being able to analyze the correct data, and doing so right at the device, brings new efficiencies and productivities by accelerating and distributing decision making.
NI customers are already realizing the real-world results of IoT technologies. With NI’s enterprise solutions, industrial customers can significantly improve the monitoring and maintenance at their plants. Here’s an example from a major energy customer using NI solutions to monitor and provide predictive maintenance:
|Without NI solution||With NI solution|
|Periodic manual data collection, with 20% analytics capability and inconsistent diagnosis||Continuous automated monitoring, with 80% analytics capability|
By deploying an IoT methodology and framework, suddenly operators have the opportunity to work with higher end analytics, granting deeper insights. It’s a major shift from spending 80% of people time on manual data collection, to now spending that same amount of time on high-level decision making based on insights from the data. It’s a great example of the promise and the power of IoT.
IoT and the SmartAmerica Challenge
The Internet of Things impacts more than factories—it has the ability to transform society as well. That’s why companies like Intel and NI are participating in the SmartAmerica Challenge, which demonstrates how IoT engineering can create jobs, new business opportunities, and socioeconomic benefits for America.
At the June 2014 SmartAmerica Expo, Intel and NI teams demonstrated the potential of smarter, more connected systems through Smart Emergency Response Systems, Cyber-Security for Cyber-Physical Systems and Critical Infrastructure, and Smart Cities USA. For a quick ramp-up on the projects, check out these videos:
What’s Coming Up Next?
For more on smart factories and big data, stay tuned to the IoT@Intel blog for our upcoming conversation with Jim Robinson, General Manager, Segments and Broad Market Division, Intel Internet of Things Group, and Ray Almgren, VP of Marketing, National Instruments.
Plus, NIWeek begins August 4 in Austin, Texas. The global conference—which brings together more than 3,200 leading engineers and scientists across a spectrum of industries, from automotive to telecommunications to robotics to energy—includes the Big Analog Data Summit on August 6. At the summit, industry leaders, academics, and research companies will gather to discuss how the scientific, engineering, and IT communities can work together to leverage the tremendous technical and business insight that is gained from Big Analog Data. It’s a perfect opportunity to hear how organizations are connecting IT infrastructures and analytic tools with data acquisition systems to make faster decisions and work more efficiently.
You can also contact me via Twitter (@Intel_Shahram) with any questions you may have.