Big Data: Election Analytics and More
During the 2016 election season, we’ve seen considerable media coverage on big data and predictive analytics. The access to massive quantities of data has played an increasingly important role not only for predicting the election winner, but also for driving candidates’ campaigns. During the 2012 election we saw political data science and big data leveraged by campaign managers to tap into the public opinions of the candidates. The information garnered from those data points led to decisions that shaped campaign strategies. Since 2012, we’ve seen substantial advancements in political data analytics. A recent Forbes article explains this well, “In recent years, political data analytics has advanced from simple micro targeting to true predictive data science, and the track record is good. Some of the brightest minds in the field are using massive amounts of data, complex models and advanced algorithms to determine the best way to appeal to big swathes of the electorate without alienating possible converts.” A GOP strategist recently claimed that analysts have about 400 data points stored for the average American voter and noted that they are constantly querying the database for insight. Predictive Analytics is an increasingly useful and complex practice — and it is not limited to presidential elections. It can be used in almost every industry to drive intelligent and informed business decisions. First, let’s define predictive analytics in relation to this post. This definition from TechTarget highlights the role of statistical analysis and machine learning to arrive at an actionable model: “Predictive analytics is a form of advanced analytics that uses both new and historical data to forecast future activity, behavior and trends. It involves applying statistical analysis techniques, analytical queries and automated machine learning algorithms to data sets to create predictive models that place a numerical value, or score, on the likelihood of particular events happening.” Beyond the Election With the rise of the Internet of Things (IoT) we are currently seeing predictive analytics leveraged for applications across industries to help organizations make better operating decisions. Here are a few application examples recently highlighted in Forbes: Models designed to predict where crimes will be committed Predicting the price of oil Insight into how upcoming events might influence a business Predicting the probability of success for a startup Identifying trends in the academic literature Predictive Analytics and S2S Communications Today, there are technology solutions designed for intelligence-enabled decision making. Sensor-2-Server (S2S) communication solutions in particular, help meet the increasing demand for data. S2S by definition is an intelligent communication that begins at the sensor level and targets servers for specific reasons. With an intelligent communication system to enable predictive analytics, operators can leverage new technology to improve the profitability of their businesses. As an example, let’s look at the one of the predictive analytics use cases listed above– a model for predicting the price of oil. If an oil and gas company has an intelligent system in place, it can respond in real-time to its oil production levels. The data can help operators determine if production should be increased or decreased in certain areas to maximize profitability. Predictive Analytics Recap Predictive analytics engines allow organizations to analyze more data, faster. Key decision makers gain insight into trends and patterns that may be otherwise overlooked. They can make intelligent predictions that shape business operations and strategy. With the right techniques in place, an organization will make better decisions, cut costs and increase profitability. And for those who are running for public office? They now have more insight into the opinions and trends for voters than ever before. This has changed the game in a lot of ways because campaigns can be tailored to an audience based on specific data.
IoT Emerge Recap
IoT Emerge bounced on the scenes of Chicago this week. Yes, aside from the long awaited World Series win, an IoT conference was happening in this windy, action-packed town. The conference boasted two days of keynotes, technical sessions, workshops, live demonstrations, hands-on training and plenty of opportunities for networking with industry peers. The IoT Emerge mission is to continue to educate and promote cross-industry functions with a focus in Industrial IoT, smart cities and IoT engineering. Below, we’ve highlighted the best moments from the week. IoT Emerge: What have we learned? Back in 2011, research firm Gartner said the Worlds of IT and Operational Technology Are Converging. We believe IT/OT convergence is a critical concept: it promotes a single view of an enterprise’s information and employs process management tools to help ensure that every person, machine, sensor, switch, device, etc. in an organization has accurate information in the best format and at the right time. We learned optimizing the business process is vitally important. Decisions will be made in real time with higher levels of confidence because more information will be available regarding the event or condition. For example, load shed or curtailment events will be based on energy availability (IT sources) and demand throughout the distribution network (OT sources). Event management in an IT/OT converged networkwill execute as a closed loop process by targeting a feeder or substation, issuing curtailment signals to customers under that substation or feeder. This gauges real-time response and repeats as required to achieve the target reduction time. What other insights did we gain from IoT Emerge? Myths about IoT Engineering: The Industrial Internet of Things (IIoT) is not ready to support predictive analytics With commentary from Eddie Garcia @freewavetech | Published on @ElectronicDesgn “When most people think about the IIoT, they think of machine-to-machine communications (mostly supported by RF technology) that have dominated the industrial sector for years. However, the convergence of IT and OT practices have seen intelligence moved closer to the access layer than ever before. New communication platforms have improved to the point where big data transport can come directly from the sensors at the edge (OT) all the way to the servers in the back office (IT). The industrial sector is closer than it’s ever been to supporting the future of data collection, transport, and aggregation, ultimately resulting in the huge data sets necessary to support predictive analytics at the IT/OT level.” IoT Emerge and Up-Close and Personal IoT Experience By @JKerns10 | Published on @MachineDesign “As IoT applications and case studies start piling up, some companies still wonder where the Industrial Internet of Things (IIoT) fits in their production lines. There’s lots of information on the internet about the IIoT, such as how IIoT worked in one application or how much a company could save by using a specific IIoT product. While examples and case studies offer ideas on how IIoT might fit your production line, having a chance to talk to experts directly about your applications and concerns can help ease concerns.” IoT Emerge: Looking ahead to the future By @IoTEmerge | Published on @cote_se IoT Emerge a chance to shed light on the possible digital future. Smart cities and Industrial IoT top the watch list. Along with the conference buzz, conference organizer Penton Publishing also launched the IoT Institute aimed at educating the growing IoT world. Color your IoT World By @IoTEmerge Coloring is not just for the kiddos. IoT Emerge worked with local Chicago artist Rawfa to create a wall sized coloring book. Conference goers got to take a break from the IoT information overload and color to their harts content. Industry thought leaders did an excellent job representing the broad range of emerging IoT applications this year, and as we move steadily toward the close of 2016, it’s clear that we can expect some exciting and innovative technology applications in the not-too-distant future.
Is Sensor-2-Server Technology the Next Big Wave for Oceanic Monitoring?
The National Geographic Society defines oceanography as, “an interdisciplinary science integrating the fields of geology, biology, chemistry, physics, and engineering to explore the ocean.” A brief history of oceanography, laid out by the National Geographic Society, begins with the first oceanographic studies completed by the H.M.S. Challenger Expedition from 1872-1876, which was the first voyage that collected data related to the oceanic environment. The more advanced forms of oceanography did not begin until World War II when the U.S. Navy studied the oceans to gain communication advantages across the Atlantic for submarine warfare. In the 1950s and 1960s, submersibles were introduced and ultimately became the technology that revolutionized oceanographic exploration. Modern technology has enabled more in depth exploration of the ocean. It offers tools to observe the environment, study the living beings living within it, and explore the unexplored. With the increasing adoption of the Internet of Things (IoT), it is safe to say that more innovation will continue to drive oceanic research and exploration as we are able to connect more sensors and devices to the equipment that helps us learn more about the vast and expansive oceans. IoT technology allows researchers to take a scientific approach to the examination of the ocean through recorded and analyzed data. Some of the technologies already in use today include, vessels and submersibles, observing systems and sensors, communication technologies, and diving technology. Sensor-2-Server Technology for Oceanic Monitoring As IoT adoption rapidly expands, and in many ways changes the way things work – researchers continue to find new and innovative ways to explore the ocean. Some technology manufacturers are offering Sensor-2-Server solutions (S2S) for monitoring and data collection. S2S is defined as intelligent communication that begins at the sensor level and targets servers for specific reasons. The concept of S2S is about creating intelligent transmission from a specific location back to the appropriate server with the appropriate intelligence to drive action for change. For oceanographic purposes, this type of technology unlocks the opportunity to incorporate more data points than ever before. Some Sensor-2-Server solutions offer platforms to host third-party applications in addition to creating the communication links for devices. This new class of wireless IoT communication solutions is starting to be adapted for oceanographic research today. Below are some real-life applications that leverage modern Sensor-2-Server technology: Communication with an ROV on the ocean over a distance of about two miles Vessel telemetry for units that operate in a variety of changing environments from quayside to middle of ocean Remote access to GPS stations in Alaska over approximately 13 miles to optimize the quality of data transfer for ocean mapping. Connecting remote coastal radar systems measuring ocean surface currents around Coral reefs during an upcoming experiment along the very remote NW Australian Coast. S2S technology will continue to lead to new and exciting ways for researchers to uncover some of the ocean’s mysteries, understand how it works, and learn the behavior of its creatures.
Robotics & IoT Merging Together
The Internet of Things (IoT) has made its appearance in a substantial number of industries, most recently manifesting itself in the the realm of robotics. IoT technologies and standards open the door for new robotic capabilities that are powered by cloud computing, communication with other robotic systems and sensor input from the environment around them. Recent research has pointed to a new opportunity for robotics to operate beyond the scope of what was possible just a few years ago. As we look at a future of data and connectivity at every end point – from our cars, to our homes, to our businesses – it’s clear that we’ve just begun to scrape the surface of what is possible with the rapid expansion of IoT throughout the world. In a recent report, ABI research coined the, “Internet of Robotic Things (IoRT),” defining the concept, “where intelligent devices can monitor events, fuse sensor data from a variety of sources, use local and distributed ‘intelligence’ to determine a best course of action, and then act to control or manipulate objects in the physical world, and in some cases while physically moving through that world.” The research certainly backs recent claims that robotics are going to leave a significant mark on the IoT industry. Take a look at the key statistics that Forbes recently reported on Robotics: 4% of developers are building robotics apps today. 45% of developers say that Internet of Things (IoT) development is critical to their overall digital strategy. 4% of all developers are building apps in the cloud today. RF Technology in the IoRT World As the entire technology landscape changes it is more important than ever for RF technology to adapt in order to meet new industry demands. Manufacturers in the hardened, wireless communication industry have taken note and set their eyes on all things IoT by developing Sensor-to-Server (S2S) communication solutions. Some of these wireless IoT communication solutions providers are offering platforms to host third-party applications in addition to creating the communication links for devices. This is an entirely new class of wireless IoT communication solutions that has the staying power needed in the midst of technology evolution. Robotic IoT Future Some companies using wireless S2S solutions, have already begun to incorporate IoRT into their networks. Real-life use case examples of robotics for IoT networks that are in the works today include: Semi-autonomous robotic geophysical surveying platforms for detection of unexploded ordnance. With an S2S communication solution, this use case will provide real time kinematic base station GPS corrections and combined geophysical data to a mobile command and control vehicle for concurrent advanced data processing by rear support group linked by MiFi or Satellite communications. A ‘ship-to-shore’ link for an ocean going wave-powered autonomous robot. As robotics systems adapt to the new technology landscape, they will increasingly integrate with IoT networks. With these new advanced robotics capabilities, businesses will see new opportunities for automation and efficiency to further advance operations and will be able to leverage this new technology for competitive advantage.
Industrial Communications and Security Go Way Back
Industrial communications and security have a long standing history. In 2016, industrial network operators can collect more data from geographically dispersed field assets than ever before. As we head towards fully connected systems through the Industrial Internet of Things (IIoT), communication technology manufacturers continue innovating and creating enhanced solutions that will meet the Big Data demands of today and the future. Data has become one of the most valuable assets an organization can own. It can help operators improve operational decisions, save manpower and improve employee safety by keeping them out of dangerous environments. Industrial Communications Industrial communications networks have more access points than ever before and we will continue to see more IIoT devices in service as connectivity improves in challenging environments. The IP-based technology incorporated into Industrial IoT communiations make it easier to deploy and talk to sensors, but it also makes it easier for intruders to see and snoop on valuable data streams. Anytime we talk about the collection and transfer of large amounts of critical data, security becomes an important part of the conversation. If you’re a manufacturer, you are probably nodding your head in agreement or maybe even thinking that is an obvious statement. However, based on the major cyber-attacks that have occurred in industrial networks over the past decade it is clear that a security focus from design to deployment isn’t always the case. Take a look at this infographic, “A History of IIoT Cyber Attacks and the Future of Security,” to see just how many huge scale cyber-attacks have impacted a variety of industries. While the infographic offers insight into major IIoT security breaches we’ve seen in the past decade or so, it does not provide the entire picture of industrial communication technology history and security practices. It does not highlight the fact that industrial operations networks have been using communication devices for decades and many industrial systems have been “online” since well before 2007. In fact, wireless machine-to-machine (M2M) communication solutions have owned the command and control of field assets for decades. Looking Closer at Solutions Top-tier industrial communication solution manufacturers have been leveraging security to prevent cyber-attacks and vulnerabilities on data long before the first major breach identified in the infographic. For years, these manufacturers have used a variety of techniques beyond physically securing the devices, including frequency hopping spread spectrum (FHSS) based devices with security standards like TLS/SSL and basic AES-128 data encryption. Some communication technology providers created solutions that are trusted by the US military for secure mission critical data transmission and have been used for more than 20 years. If one thing is clear in the efforts to protect data over time, it is that a critical infrastructure project is only as reliable and secure as the technology serving it. Security will ultimately be the limiting factor on how much IIoT technology is deployed. A modern operator striving for an IIoT network must look at SCADA security, the convergence of Operations Technology (OT) and Information Technology (IT), and make a thorough assessment of what will allow them to achieve a secure data communications network and where they want to be in this triangle. As the industry has evolved, so have the security practices. But what hasn’t changed is that an operator looking to build an IIoT network must carefully select their technology and look for the solutions that are focused on security.
IoT Evolution Podcast Recap: Edge Computing Future
Edge computing has become a topic of hot conversation as the technology capable of supporting sensor-2-server data transport has matured. The realization of true edge computing is accompanied by a host of benefits, including real-time data transmission, maintenance needs and considerable savings for operational expenses. Is edge computing the cut-and-dry future? Ken Briodagh, editorial director with IoT Evolution, plays devil’s advocate on a recent podcast with FreeWave Technologies CMO Scott Allen. He asks, essentially, “If companies focus resources on the real-time data transport at the edge – sending small packages of data at a time in the interest of speed – are we losing the benefits of big data? Do we lose the information that big data sets can provide in terms of predictive analytics and, ultimately, machine learning if we discard bits and pieces of data at the edge that we’ve deemed irrelevant?” Listen to the podcast below for Allen’s response! Overall, edge computing has three main drivers: latency–our need to have the data in milliseconds; loss of communication–able to solve the factory problem without shutting down the entire plant; proximity–sensors in the field monitor the data back to the edge. Edge Computing Solution Depending on the industry, a mixed bag of both programmable and edge computing solutions is an answer to Briodagh’s question. In some cases, especially with the oil and gas industry, companies rely on a sensor-2-server stream of communication, where they need to have the information in real-time, and if there is a problem, be able to act locally and fix the issue before anything drastic happens. The network is a combination of radios communicating with sensors that pass the data to a gateway and up to a cloud system. The network uses only small data sets to transmit a continuous flow of intelligent, sensor-based information, optimizing bandwidth in situations where latency is crucial. Next for the Edge There will come a time when using edge technology will just become a regular line item expense needed to do business in this modern age. Some early adopters have already started using gateway systems as a cookie cutter roll-out for all future expansions. Many worry the cost of entry is still too high to integrate, even though the need for transmission is great. As our digital age grows, infrastructure complexity and the desire to implement the latest technology grow along with it. Altogether, edge computing is still in its infancy stage, so no one really knows what data we deem irrelevant today will be vital tomorrow.
Women in Tech: Hedy Lamarr
It was back in 1941 when Hedy Lamarr, an Austria born actress, together with George Antheil co-patented a “secret communication system” which allowed radio control of torpedoes that could not be easily discovered, deciphered or jammed. Her secret: frequency hopping! Coordinated, rapid changes in radio frequencies would literally “hop” in the radio spectrum, thus evading detection and the potential of interference, in other words, being suppressed or jammed. Even though her idea was ahead of its time and not implemented in the U.S. until 1962, when it was used by U.S. military ships during a blockade of Cuba (after the patent had expired), it is now the basis for modern Frequency Hopping Spread Spectrum (FHSS) wireless communication systems. FHSS wireless systems are very resilient when it comes to impairments such as interference (deliberate or coincidental) and “jamming.” Other effects can be observed when wireless signals travel through space, such as the “multipath” phenomenon, simply because they use only very small amounts of radio spectrum at a time and don’t dwell (or remain) at that frequency long, instead “hop” to another frequency quickly. Statistically, chances are that the signal does not “land” at the interfering frequency, thereby successfully evading the jamming signal. This makes Denial of Service (DoS) attacks on FHSS systems very difficult, albeit not completely impossible. Information Pioneers – Hedy Lamarr Edition As part of BCS, The Chartered Institute for IT video series, Miranda Raison presents Hedy Lamarr for the “Information Pioneers” series and dives deeper into the history behind one of wireless communication’s leading ladies who, together with George Antheil, pioneered the beginning of a communication revolution. Hedy Lamarr would’ve been 101 years old this November.
IoT is for Automotive
The Internet of Things (IoT) has made an appearance in just about every industry (including automotive) that uses automation and has opened the door for the automation of pretty much anything and everything. Today, there are more devices than people and by 2020 there is expected to be 26 Billion – 50 Billion internet connected devices being used throughout the world. If one thing is true – and if the staggering stats above are any indication – we’re headed towards a fully connected world at a very high speed. Think about everything we can do now that wasn’t possible just a few years ago. We can lock our doors and shut off the thermostat from an app on our phone. At the push of a button, we can buy laundry detergent and have it shipped to our home. Industries with geographically dispersed and remotely located assets can cost-effectively add sensors and smart devices to every single network endpoint – to automate systems and drive intelligent business decisions locally and from afar. Racetracks are the next place IoT is surfacing, while automobiles with infotainment systems (connected by the IoT) continue to fill the streets. Autonomous Automobiles In the tech world, you’ve probably seen industry buzz and research data that verifies the reality of autonomous (or at least semi-autonomous) vehicles commonly traveling our roads in the near future. In fact, a few of the most innovative car manufacturers have already released vehicles with some autonomous features. If anything is for sure it is that the driverless car is much more than a fantasy today– there are people working to develop these vehicles right now. In the meantime, IoT has already begun to leave its mark on the automotive industry. So, what are some real life examples of unique ways that IoT communication solutions are being used in the automotive industry today? The Racing Industry The auto racing industry can automate many systems and processes for drivers and also generate data to support real-time decision making with IoT communication solutions. In one use case, IoT technology enables video data and high speed connections through a point-to-point system. With the data made available to drivers, they are able to adjust their racing strategy in real-time and make smarter decisions that decrease risk and save time. Electronic Car Testing For one electronic car manufacturer, IoT communication solutions are being used for engine testing and maintenance by using real time kinematics (RTK) base station communications to improve data and correlation. What Helps Drive the IoT for Automotive? Sensor-to-Server (S2S) communications have emerged as an essential solution for IoT networks in a variety of industries from industrial settings like oil and gas, to environmental monitoring, to the automotive industry. S2S solutions that are designed specifically for industrial-grade IoT networks, offer high speeds and extended distance connectivity via RF technology that can also support third-party applications. These solutions meet the demanding needs for collecting, protecting, transporting and controlling data from network end points all the way back to the server. As the world around us becomes more connected on a daily basis, we’ll continue to see new innovations released in many different marketplaces. In the automotive industry, IoT is leading to the inevitable release of autonomous vehicles. We can expect to see S2S communications play an increasingly important role for auto manufacturers looking to improve innovation and connect the network devices that were previously not connected.
IoT Weekly Roundup
The IoT weekly roundup is designed to share the latest and most interesting news from the past week. As the industrial and consumer IoT space continues to heat up, we decided to uncover some very unique IoT applications that many didn’t even know existed. As the connected world continues to advance in the emerging digital age, virtually every facet of our lives is now being impacted by the IoT. In this week’s addition of IoT weekly roundup, we explore M2M, sensors, automation, drones and IoT language. Dive in and enjoy this week’s highlights! Weekly Roundup of News How M2M and IoT enable new data-intensive applications By @dhdeans | Published on @TTech_News “During the last couple of years, machine-to-machine (M2M) technology has become an integral part of the services offered by global telecom providers and a significant revenue stream for M2M app specialists. They’ve developed comprehensive offerings, designed to reduce costs and increase efficiency.” Sonar Mapping Sensors Help Understand Where Life Can be Found Underwater By Brooks Hays | Published on @UPI “New maps charted using sonar sensors have revealed the importance of ‘marine snow’ to the distribution of biomass on the ocean floor. Until now, mapping the ocean floor’s terrain, as well as distribution of marine snow and biomass, has proven difficult.” Rail and Production Technology Parallels When it Comes to Automation By @DJGreenfield | Published on @automationworld “Explaining the IoT trend in rail, Weatherburn said that IoT is increasing interest in greater connectivity for operations optimization reasons. It’s also driving a move away from proprietary protocols and toward greater use of standard Ethernet. He noted that this is particularly true in rail when it comes to the delivery of communications and entertainment for the railway customer, pointing out that the rail industry is looking to carry both sets of data over standard Ethernet.” Indie Sci-fi Film Shot Entirely by Autonomous Drones By @trentlmoore | Published on @blastr “Drone cameras are being used in just about everything nowadays, from sports coverage to emergency response, but what happens when you shoot a movie entirely from the sky?” The connected IoT is spawning a new vocabulary By @pmcfedries | Published on @IEEESpectrum “A big chunk of the Internet of Things consists of wireless transceivers combined with sensors, which can reside in appliances, devices, clothes, machinery, buildings—just about anything physical. Of course, the phrase ‘wireless transceiver combined with sensors’ is unwieldy, so such a node of the IoT is called a mote (short for remote).” As we conclude our IoT weekly roundup, we hope you enjoyed learning about all the new applications and insights related to the powerful force of the Internet and connected technologies. Now go out and see what other IoT applications you can uncover!
IIoT Top News: Utilities Powering Tomorrow
We’re fresh off a great week at DistribuTECH 2016 where we saw a gamut of technologies, thought leaders and trends. With utilities and energy still top-of-mind, our focus this week is on the changing face of the industry. This digital age means we have come to expect that the power will always charge, operate and run our numerous IoT devices. That’s why this week’s IIoT top news is dedicated to powering our electrical future. So, it should come as no surprise that, the electric power industry has made it their mission to protect and secure this precious power at all costs. The power initiative has teamed up with federal agencies, National Institute of Standards and Technology, and the North American Electric Reliability Corporation to continue to build its capabilities. Now as you hold tight to your digital devices, take a breath, relax, and enjoy this week’s top news roundup. Industry Pioneer: The Road to Electric Utility of the Future is Paved With Prosumer Technology (Forbes) Years later, after the initial big push for IoT with utilities, we are still hoping for better, cheaper and smarter utility solutions. Forbes suggests the future of utilities will be paved in prosumer technology. William Pentland writes, “In 2009, the U.S. government made the single largest investment ever in modernizing the U.S. power system. Nearly seven years and more than five billion in federal tax dollars later, the electric grid is technically a lot smarter than it used to be. So why do utility rates seem to be getting more – not less – stupid?” Utilities to Lead Surge of Electric-Car Charging in Southern California (Green Car Reports) Southern California now has the lead on electric-car charging stations as utility companies in the area task themselves with an aggressive plan to expand the number of station in the region. A recent report from Navigant Research suggests that, “The commencement of these projects marks a major transition for electric-car charging in California, as it marks the beginning of significant involvement from utilities.” Michigan Utilities Expected to Surpass Renewables Mandate (North American Wind Power) Each year the state of Michigan sets a level of renewable energy that must be met, only this year the Michigan Utilities is expected to surpass that mandate with a surprising amount of growth. According to the six-annual report from the Michigan Public Service Commission (MPSC), “There has been significant growth of wind generation in Michigan’s renewable energy certificate portfolio, from 7 percent in 2009 to 44 percent in 2014.” NRG Proved How Tough It Is To Change. So Who’s Poised to Become the Utility of the Future? (BreakingEnergy.com) A short time ago NRG set its sights on becoming the Google of the energy world, but as the IoT evolves it is very likely an unknown company will be the next market leader for energy worldwide. GreenTech Media argues that “the utility of the future will also have to be so much more to succeed — leveraging data, new technologies and personalization to transform the way customers consume and deliver power.” What Are Utilities Thinking Today About the Importance of Engaging with Their Customers? (Intelligent Utility) As world continues to become all things IoT, utilities need to consider how engaged they would like to be with their customers. ONZO survey results at DistribuTECH 2016 show, “Most utilities also plan to increase their investment in improving customer engagements and think that analytics are key to their ability to do so.”
