What CEOs Need To Know About M2M Manufacturing Business Technology (blog) With all the industry buzz and vendor movement around M2M (Machine-To-Machine), the Internet of Things, and the Industrial Internet, it's time for CEOs to understand more...
The convergence of information and communications technologies (ICT) with the traditional operations technologies (OT) is an ongoing Smart Grid trend. Within the USA and its 3000+ electric utilities, Smart Grid investments focused on optimization of transmission and distribution grid operations through machine to machine (M2M) communications and forays into data analytics for applications ranging from revenue assurance to voltage conservation.
This ICT/OT convergence trend is encouraging new entrants into the vendor ecosystem that supports electric, gas, and water utilities. One of the latest entrants is Dell Computers. Dell made two announcements in the past two months that illustrate how ICT companies are exploring Smart Grid market opportunities. 2013 will be the year to watch their strategies and progress.
Dell recently unveiled their Smart Grid Data Management Solution which combines high-performance computing, networking and storage to manage data for review and action in utility operations.
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The “Industrial Internet,” the growing network of machines and sensors across all sectors of the economy linked through Internet communications networks, could add an estimated $1.5 trillion to $2.3 trillion to annual U.S. Gross Domestic Product (GDP) by 2020. The estimate is based on a November 2012 study by General Electric (GE) titled, “Industrial Internet: Pushing the Boundaries of Minds and Machines.”
GE believes the Industrial Internet will spur accelerated economic productivity, potentially boosting GDP by an average of $4,600 to $7,000 per person in the U.S. In order to tap this potential economic benefit, U.S. policy must ensure incentives are aligned with rapid investment and deployment of broadband Internet Protocol (IP) networks, including the removal of legacy burdens.
Earlier this year, USTelecom published a Research Brief titled “Productivity and Innovation: Broadband’s High-Leverage Economic Impact,” which argued that broadband is enabling critical technological innovations that are enhancing productivity, and hence economic growth.
The Industrial Internet is yet another example of such innovation enabled by broadband and associated information technologies. In fact, the Research Brief cites many of the technologies that will enable the Industrial Internet, such as radio frequency identification (RFID) sensors, real-time data analytics, and cloud computing. Others include machine-to-machine (M2M) communications, mobility, and visualization of data.
M2M Technology Convergence Making Smart Buildings Even Smarter PR Newswire (press release) The term "smart building" typically refers to a building that uses computer-controlled equipment managed via a building automation system (BAS), which...
William Shakespeare wrote that “What’s past is prologue.” Big data surely builds on our rich past of using data to understand our world, our customers, and ourselves. Now the world is flush and getting flusher in big data from cloud, mobile, and the Internet of things. What does it mean for enterprises? In a word: opportunity. Firms have taken to big data. Here are my four predictions for key enterprise big data themes in 2013:
Firms will realize that “big data” means all of their data. Big data is the frontier of a firm’s ability to store, process, and access (SPA) all of the data it needs to operate effectively, make decisions, reduce risks, and create better customer experiences. The key word in the definition of big data is frontier. Many think that big data is only about data stored in Hadoop. Not true. Big data is not defined by how it is stored. It can and will continue to reside in all kinds of data architectures, including enterprise data warehouses, application databases, file systems, cloud storage, Hadoop, and others. By the way, some predict the end of the data warehouse — but that’s nonsense. If anything, all forms of data technology will evolve and be necessary to handle the frontier of big data. In 2013, all data is big data.The algorithm wars will begin. Big data is lazy when it just sits on a disk somewhere. Firms increasingly realize that it must use predictive and descriptive analytics to find nonobvious information to discover value in the data. Advanced analytics uses advanced statistical, data mining, and machine learning algorithms to dig deeper to find patterns that you can’t see using traditional BI tools, simple queries, or rules. Many of these algorithms have been around for years, but many firms will rediscover their power, combine them in new ways, and even initiate research efforts to find competitive new algorithms. Big data is the fuel. Algorithms are the engine to explore virgin data, seek out new meaning and models, and deliver more personalized, contextualized customer experiences. Look no further than Internet giants like Google that invest heavily in algorithms to power services such as Google Now. In 2013, CEOs will give their firms an imperative to to beef up their data science capabilities.Real-time architectures will swing to prominence. Firms that find predictive models in big data must put them to use. Firms will seek out streaming, event processing, and in-memory data technologies to provide real-time analytics and run predictive models. Mobile is a key driver, because hyperconnected consumers and employees will require architectures that can quickly process incoming data from all digital channels to make business decisions and deliver engaging customer experiences in real time. The result: In 2013, enterprise architects will step out of their ivory towers to once again focus on technology — real-time technology that is highly available, scalable, and performant.Naysayers will fall silent. Big data is not just a buzzword; it’s real. But it disrupts many who don’t see anything new in it or don’t see the tremendous opportunity firms have to harness it for competitive advantage. My prediction: Time magazine will name big data its 2013 person of the year.
The world now has the first public demonstration of the Weightless protocol, designed to connected roads, bridges and even trash cans using old TV spectrum. But once our infrastructure is online, the real question begin.
GE Moves Machines to the Cloud DailyFinance Historian delivers real-time data management, analytics, and machine-to-operations connectivity in a secure, closed-loop architecture so critical global industries can move from a reactive to a predictive...
In the next phase of M2M market development that is moving towards an Internet of Things (IoT) future, security requires a holistic approach. Huge increases are expected in the number of machines and objects that communicate with humans and other machines/objects, each processing real-time (or near real-time) data. In such an M2M world, security must become a core component of an enterprise's consideration when using M2M to achieve business objectives.
Daily business activities are becoming more streamlined due to greater efficiencies created by the integration of various technologies in Wireless and M2M Technologies. #tech #technology #TechNews #itnews
Manufacturing Business Technology Machine 2 Enterprise (M2E) – The Next Evolution Of M2M And Predictive Analytics Manufacturing Business Technology The number of M2M connections will double over the next eight years to 50 billion globally,...
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