Industrial operators already have mountains of data and its only getter bigger. A recent report by GE and Accenture found that for 80 to 90 percent of companies, Big Data analytics is among the top three priorities, and 76 percent expect their investment to increase over the next year. Data holds powerful answers for industries across the spectrum — from energy to health care to transportation and beyond — to increase productivity, improve the customer experience and open doors to new technologies and revenue streams. To get there, we need more than just data collection. Industry needs to be able to use data better and faster for smarter operating decisions, which is the promise of the Industrial Internet of Things. The pathway to this next stage of industrial productivity is through the individual machines from wind turbines to MRI machines to turbines, and more specifically through their control devices.
Transportation has been vastly underfunded in the past two decades, according to most Democrats in the House and Senate. President Obama tried to raise taxes on oil imports and gas usage to fund transportation projects, but Congress has been a stone wall, refusing to raise taxes or spend more on infrastructure. You would think under Republican President-elect Donald Trump, things are about to get worse, but the billionaire businessman has advocated for more infrastructure spending throughout his campaign. See Also: Sustainability will be driving the smart city bus by 2020 In his announcement speech, Trump spoke about the need to spend more on our infrastructure: “We have to rebuild our infrastructure. Our bridges, our roadways, our airports.” Trump also lambasted Hillary Clinton’s infrastructure plans, which included $500 billion in spending and loans, saying more is needed. It sounds like Trump is willing to spend hundreds of billions, if not Continue reading "What happens to transportation projects under President Trump?"
The Centre for Urban Science and Progress at New York University has recently released the findings from a smart city pilot study. It’s the first in-depth analysis of a local New York Neighborhood intent on measuring the quantified community. They utilized IoT sensors to collect and analyze quality-of-life measurements at high spatial and temporal resolution in the neighborhood of Red Hook, Brooklyn. Red Hook is an economically disadvantaged neighborhood. There is no subway service, only a few Internet hot spots and close to 70 percent of the population lives in New York City housing projects. Residents experience an asthma rate of more than 2.5 times that of the national average and more than a third live below the federal poverty line. The life expectancy of residents in Red Hook is 10 years lower than the national average. Red Hill was significantly affected by flooding caused by Hurricane Sandy in
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A new study predicts that smart cities will be going green in a big way over the next five years, driven by international efforts to reduce carbon emissions. A new report from research firm Gartner predicted smart cities will move the sustainability file forward in line with the carbon reducing Paris COP21 deal. COP21 was signed on by 195 countries and seeks to substantially curb greenhouse emissions by cities. In light of this, Gartner expects that at least half of global smart cities will use climate change, sustainability and resilience as key performance indicators by 2020. “With the Horizon 2020 goals of energy efficiency, carbon emission reductions and renewable energy in mind, many cities in Europe have launched energy sustainability, resource management, social inclusion and community prosperity initiatives,” said Gartner research vice president Bettina Tratz-Ryan. This report comes as industry pundits are suggesting that smart cities are inheriting the environmental Continue reading "Sustainability will be driving the smart city bus by 2020"
One of the latest trends in the world of technology and engineering is “machine learning” — in fact, all of the big technology companies today have invested in artificial intelligence and machine learning projects. The term “machine learning” was first defined by Arthur Samuel, way back in 1959. He defined it as “the ability to learn without being explicitly programmed,” which basically means that a machine could learn from its own mistakes and reprogram itself to improve its performance over time. The idea gained popularity in the 90s when the concept of data mining came into existence. Data mining uses algorithms to look for patterns in a given set of information, which led to data-driven predictions and decision making. This encouraged engineers to develop complex machine learning algorithms by making use of data mining and predictive analytics.
Innovations that are driving business advantageToday, machine learning algorithms are already being
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According to Lux Research, investors have invested $4.3 billion into the development of sensors over the past ten years. However it’s the pattern of the 28,927 sensor patents that were given since 1975 that actually unveils the value and potential of these patents. Lux Research studied patent trends for five kinds of sensors. These included physical, gas and chemical, environmental, vital signs and biometric ones. These were studied across five value groups: automotive, food and agriculture, medical, consumer, and building and industrial, in order to pinpoint markets that were growing and markets that are already overly competitive. The studies show that sensor patents targeted at consumer electronics and medical device industries have the least entry barriers, whereas those patented for automotive, and building and industrial use have the biggest barriers. “While the physical sensor patent space is the most crowded, there are opportunities for component and Continue reading "Lux Research asks: Just how valuable is that patent?"
While corporate giants and big cities are adopting Internet of Things (IoT) technology at a fervent pace , a new venture seeks to help smaller businesses and towns take advantage of IoT’s vast potential too. Telecommunications consultancy B2 Group announced that it was launching Directed IoT. The focus of the new division is to aid the implementation of “last mile” IoT initiatives for small- and medium-sized businesses (SMB) and mid-sized towns and cities. “In today’s market, many segments of the IoT ecosystem are under-served and we believe that the Directed IoT division can fill the gap in needed services and expertise,” said Bob Bilbruck, CEO of the Irvine, California-based B2 Group. The new venture aims to help modest-sized businesses and urban areas manage, operate and monetize IoT-based business models to get the most out of the new technology. B2 Group says its new division will help bring affordable IoT tech Continue reading "For this new smart city venture, small is beautiful"