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.
Industrial IoT Weekly Highlights
It’s time for another edition of Industrial IoT (IIoT) weekly highlights! Robots seem to be taking over this round of updates – by air, land and sea. Don’t fret, we haven’t stepped into a Sci-Fi movie just yet. Aside from machines, we gathered the latest information about fog computing, and why this trending concept is needed in the enterprise. The possibilities for machine innovation spurs thinking that we are just scratching the surface of digital transformation. What will people think of next? Sit back, relax and get ready to enjoy another round of weekly IIoT highlights! Weekly Highlights Breakdown What Is Fog Computing? And Why It Matters In Our Big Data And IoT World By @BernardMarr | Published on @Forbes “Fog computing, also sometimes called edge computing, solves the problem by keeping data closer “to the ground,” so to speak, in local computers and devices, rather than routing everything through a central data center in the cloud.” Farm 2026: The Robots Are Coming By @hiyamckidd | Published on @FGInsight “Lettuce thinning is still done manually at lower cost, but robots are likely to reach break even with human labour within 12 years.” Digital Technology to Transform Oil, Gas Hiring Practices By @KarenBoman | Published on @Rigzone “When oil and gas companies start hiring again, they will need to prepare for a workforce of college graduates who want to work off a cell phone or tablet.” Manufacturers Struggle to Woo Software Developers By @AndrewTangel | Published on @WSJ “Nearly every industry is looking to hire software engineers and developers. But the manufacturing sector is having particular trouble attracting potential recruits.” The 10 Coolest Drones at the Worlds Biggest Robot War Games By @David_Hambling | Published on @PopMech “Unmanned Warrior is the world’s biggest robot war game, currently taking place for two weeks off the coast of Scotland. It was proposed by First Sea Lord Admiral George Zambellas to give airborne, surface, and underwater drones from various suppliers a chance to show off their prowess. Unmanned Warrior is part of Joint Warrior, an exercise involving 30 warships and submarines from 18 nations. But for the newly inaugurated robot portion, the U.S. is a strong presence, with teams from the Office of Naval Research (ONR).” As we conclude our Industrial IoT weekly highlights, we hope you were entertained and enlightened. Technology continues to change at a fast pace, let’s find common ground with our robotic pals. Tune in next time for more IoT innovation!
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.
The Glue that Holds Our “Connected” Dreams Together
Image courtesy of Flickr Creative Commons The visage of our “smart” or “connected” destiny is often presented to us in broad strokes: self-driving vehicles, connected homes, logistics, wearables – the list continues on with each piece of evolving and maturing technology. Smart cities have a bright future, and the application possibilities seem expansive, but often lost in the conversation is the technology that actually enables the connected world. Within a smart city – or even at a micro level – within one specific industry deploying smart technology, are a wide range of considerations: how much data are we transporting? How will we transport that data? How can we make our system intelligent? Where do we need to install these intelligence-driving platforms? How can we connect our data, operational technology and information technology to the necessary access points? Who/what has access to this data and control over these machines? These are only a few of the considerations that companies must address that are responsible for the industrial services driving cities and municipalities. While security is indeed a critical piece of this landscape, before any kind of connected or smart city can be achieved, the literal communication platform upon which that connectivity is deployed must first be implemented in a way that is not only compatible with current technology, but that will also be compatible with future technologies as well. From our perspective, there are five critical elements behind a smart city connected infrastructure: Robust Cloud Services Infrastructure designed to support all consumers of smart city deliverables Core Network Architecture that can rapidly expand in bandwidth and reach Extended Access Layer network architecture that incorporates a wide range of wired and wireless technologies to reach every sensor and device or that needs to connect to the smart city infrastructure A wide range of reporting devices such as sensors, visibility devices and other end points that create the data that makes a smart city work Distributed intelligence technology that allows for local execution of applications at the access layer plus global communication of data/analytics and information While each one of these tools is important in its own right, there is a common, underlying thread that connects them: each facet depends on a robust, reliable and secure communication platform. For smart cities, these communication platforms must be capable of enabling multiple methods of connectivity, but most importantly, they must be able to provide industrial-strength Wi-Fi. Wireless connectivity is the backbone of communication between the sensors that power all facets of the connected industrial infrastructure and the big data transport that is critical to the analytics that power “smart” enterprise. Not all industrial Wi-Fi platforms are created equal, and one of the major questions facing the ongoing development of smart infrastructure centers on how to ensure that these networks are secure and compatible across multiple, and sometimes proprietary, technologies. This certainly opens up a veritable can of worms, including the idea of standardization, but without the driving force of reliable and robust communication technology, most smart city dreams will remain just that – a dream.
IoT Evolution Expo 2016 Recap
IoT Evolution Expo invaded Las Vegas this week by taking over Caesars Palace. The conference focus was to be a premier source of information needed to help drive your enterprise forward with the latest in IoT applications. A few of the tracks found this year at IoT Evolution included IoT Security, Fog Computing and IoT Enterprise. Overall this expo gave attendees the chance to listen to various talks and panel discussions, as well as hands-on demos on the exhibitor floor, and evening networking nights with industry experts and peers. Here are some of the posts during the event: Diving into the IoT Evolution sessions, we learn the weakness of our smartphone. Godfrey Chua, analyst at Machina Research, informs us that the smartphone can be a very weak link in IoT and M2M communications when it is used as a remote control. And…IoT Evolution continued with more panel discussions. Yann Kulp, VP SmartSpace North America with Schneider Electric tells us that, the panel with GE, Amazon, US Celluar and Argus Insights offered intriguing updates with the use of Wiser Air in your home and other Wi-Fi IoT applications. FreeWave was fortunate to participate this year on both the Oil and Gas: Pirates and Protection, as well as the Brown Field Round Table: What to do when it’s too late to start again panel discussions. The Pirates and Protection panel give us all a chance to dive deeper into the critical industries and what IoT secure options area available for these remote locations. My second panel of the night with the Brown Field Round Table gave attendees to hear real world case study examples of Sensor-2-Server implementation challenges with blending older SCADA systems with the latest IoT solutions for continuous real-time results. Time to see an IoT application at work! James Brehm & Associates tried their hand at capturing this IoT conference with virtual reality technology. A new solution from RICOH THETA. The 360 angle is best viewed prior to hitting up Margaritaville. Interesting to see the “Workspaces & IoT” concept discussed as well. Digital workspaces takes center stage at IoT Evolution as Global Workspace Analytics reports 3.7 million U.S. employees now work from home. Cynthia Artin with IoT Evolution informs us that,”while the IoT is arguably taking off faster in more industrial domains (factories, farms, transportation), and has the most “sizzle” in consumer domains (smart homes, smart cars, fitness wearables), there is new energy forming around IoT enhanced offices.” Now as this year’s IoT conference comes to a close, we remember all the ways IoT will change our enterprise and our life this year. One thing is clear, the more we innovate, the more we strive to become more efficient, automated and safety operated within fog computing and cloud applications. We hope you have enjoyed this week’s roundup, as always tells us about your IoT highs and lows.
Berg Insight: Bright Days Ahead For Wireless Automation
A recent report published by Berg Insight details the bright future ahead for Industrial IoT through the implementation of wireless automation technologies. Berg Insight senior analyst Johan Svanberg made note that higher levels of automation and IoT solutions enable “shorter lead times, lower inventories, increased throughput as well as more flexibility and the ability to respond faster to changing customer needs.” The wireless IoT device market is served by a multitude of players from various backgrounds including global automation solution providers, automation equipment and solution vendors, industrial communication specialists and IoT communication specialists. This new report from Berg Insight informs us that: 2015 estimate of wireless devices for industrial automation applications reached 4.8 million units worldwide. Wireless devices installed for industrial applications have a forecasted growth rate of 27.7 percent from 14.3 million connections at the end of 2015 to 62.0 million devices by 2021. Key Findings from Berg Insight: Wireless connectivity is instrumental in the Internet of Things era and the use of wireless solutions in industrial automation is increasing rapidly at all levels of automation systems. Industrial automation systems utilize wireless communication to connect remote and local facilities and equipment to increase operational efficiency. A wireless automation system contains a mix of network technologies, equipment and systems including enterprise and automation systems, network equipment, control devices and field devices. The most common wireless technologies in industrial automation include cellular, 802.11.x Wi-Fi, proprietary unlicensed ISM radio, Bluetooth, various LPWAN technologies and 802.15.4 based protocols such as WirelessHART, ISA100.11a and ZigBee. Berg Insight estimates that shipments of wireless devices for industrial automation applications, including both network and automation equipment, reached 4.8 million units worldwide in 2015. Growing at a compound annual growth rate of 25.1 percent, shipments are expected to reach 18.3 million by 2021. The installed base of wireless devices in industrial applications is forecasted to grow at a compound annual growth rate of 27.7 percent from 14.3 million connections at the end of 2015 to 62.0 million devices by 2021. Wi-Fi is widely used for backbone communications as well as in monitoring and control applications within factory automation where Industrial Ethernet has got a strong foothold. Bluetooth is also popular – often as a point-to-point wire-replacement between for example a mobile HMI solution and a field device or control unit. 802.15.4 networks are often used to connect wireless sensors and instrumentation in process automation. Cellular connectivity is typically used for backhaul communication between plants, connecting remote devices in long haul SCADA applications and for third party access to machinery and robots. LPWAN technologies are increasingly used in certain low data, long range applications. Most of the major vendors of wireless IoT devices in industrial automation offer a wide range of devices with various wireless technologies in order to support many different applications. Key Takeaways, According to Berg Insight: Companies are now deepening the integration between industrial automation systems and enterprise applications and the promise of IoT is getting more tangible by the day. Large multinational corporations are beginning to systematically develop and adopt best practices to maximise the benefits of IoT technology in every part of their organisations. IT/OT convergence, smart factories, Industry 4.0 and the Industrial Internet of Things are concepts which are part of the ongoing evolution of industrial automation. Innovation in sensors, wireless connectivity, collaborative robots, big data and cloud solutions along with seamless exchange of information between devices, systems and people paves the way for improved performance, flexibility and responsiveness throughout the enterprise value chain. For more information, read the full report from Berg Insight.
IIoT Top News: Machine Learning
Machine-to-machine (M2M) learning is an integral apart of the expanding world of Industrial IoT. Over the past few months we have given attention to manufacturing and its current digital disruption, but have failed to show the direct impact smart M2M and IoT technology is having on the industry. So, this week we are diving deeper into the term machine learning and how it connects to manufacturing both today and in the future. Before we get to our news round up let’s start by re-defining M2M, to ensure we are all on the same page with its purpose and meaning. Gartner has defined machine-2-machine communications as “something used for automated data transmission and measurement between mechanical or electronic devices.” Now, that we have defined M2M, its time to check out our top news round up for the week on how M2M applies to both manufacturing and IoT. 10 ways machine learning is revolutionizing manufacturing Machine learning is poised to improve manufacturing by streamlining the process of OT and IT, thus increasing efficiency and lowering overall operation costs. Louis Columbus at Forbes believes that “Every manufacturer has the potential to integrate machine learning into their operations and become more competitive by gaining predictive insights into production.” IoT will recharge Machine Manufacturers Manufacturing can look to software companies as an example of how IoT can implement creating a smarter M2M network. Timothy Chou with CFO.com writes, “Today, manufacturers of machines — whether seed drills, chillers, or CT scanners — can leverage the path paved by the software product companies through three new business models: service and support; assisted services and machine-as-a-service.” Climbing the IoT Mountain–by adding M2M to manufacturing Manufacturing is only at the beginning of its ascent into IoT and M2M, so there are many more bumps and obstacles a long the way for the industry to fully integrate. Ronnie Garrett with Supply & Demand Chain Executive describes IoT and M2M manufacturing implementation as, “Standing at the foot of Mount Everest, ready to climb the world’s tallest mountain. You know you want to get to the top but you aren’t really sure how you will get there or what obstacles you’ll encounter along the way.” Cybersecurity is manufacturing’s biggest risk factor Manufacturing needs to continue to add M2M automation and big data analytics to the shop floor, but a threat to the overall industry is manifesting itself in the cybersecurity world. Ian Wright with Engineering.com informs writes, “A new report from BDO indicates that 92 percent of manufacturers cited cybersecurity concerns in their SEC disclosures this year. According to BDO, this represents a 44 percent increase compared to the first Manufacturing Risk Factor report in 2013.” As we wrap up our top news for the week, we realize the need to fully implement advanced machine learning across the manufacturing world will take more than a simple flick of the wrist. With that said, we leave you with a cautionary tale of when automation goes wrong. It was recently discovered an airport in India had an sign translated with automation software which read, “eating carpet strictly prohibited” — of course this was not the translation they had meant to display. Regardless, as we move towards a fully integrated M2M world, we will have to adjust our equations depending our our intended outcome, much like the world is finding with the love/hate of language automation. Hope you have enjoyed this week’s top news, as always tell us your thoughts on M2M and how it might impact your world!
Internet of Things Expo: What to expect this week
The Internet of Things (IoT) is essential for both enterprise and personal, everyday use. Leading research firms agree that IoT will experience an unbelievable boom, possibly into the tens of billion devices by 2020 as computers, smartphones and sensors all require connectivity. This week’s Things Expo is a SYS-CON Media annual event, designed to help make sure your enterprise is IoT-ready with 80 breakout sessions focusing on many aspects of IoT, including big data’s use with predictive analytics, smart grid and Industrial IoT (IIoT), wearables, identity in IoT and modem data centers, among many other tracks. Here is a sneak peek at keynote Internet of Things Expo speaker Chris Matthieu. Also…Check out this clip of a Things Expo Power Panel It is going to be an action-packed three days of IoT information dumps from the experts. If you have the chance to be in New York this week, be sure to check out this conference and soak up some knowledge. Scott Allen, CMO of FreeWave, will be presenting “Sensor-2-Server: Intelligent Communication at the Access Layer” at ThingsExpo on Tuesday, June 7th from 4:40 – 5:15p.m. EDT. (http://www.cloudcomputingexpo.com/event/session/3238). Sensor-2-Server™ (S2S™) intelligent communications for the access layer can collect and transport the data that supports higher-level analytics. As IoT becomes adopted by industrial markets, there is going to be an increased demand for video, voice, data and sensor data communication from the outermost layer of the network. Let us know what you think. Which aspects of IoT are most interesting to you? What needs more coverage and information?
IIoT + S2S = Industrial Innovation at the Access Layer
The Industrial Internet of Things (IIoT) is moving at a rapid pace towards a higher intelligence platform to help collect, protect, transport and control data at scale from a myriad of sources. The access layer in the IT landscape is now particularly becoming an innovative technology environment with many new sensory solutions available to bring intelligence back to the core systems and analytics engines. Another area to consider when discussing IIoT are the individuals working with these technologies today, tomorrow and in the future. To start, the younger/millennial generation is entering the workforce in droves and is arguably the first generation open to big data integration and as part of IoT application solutions. Now that IT and Operations personnel work closer together than ever before, there is a need to be able to share the sensor data across the access layer. On the other hand, the older generation is trusting of the SCADA data systems they have been using for years, and are slow at first to adapt to the new intelligence created in the access layer. How Does an Enterprise Address this Transition? One strategy is IT/OT convergence, which promotes a single view of an enterprise’s information. Process-management tools help ensure that every person, machine, sensor, switch and device in an organization has accurate information in the best form and at the right time. As OT products—for example, programmable logic controllers (PLCs) and remote terminal units (RTUs)—become more aligned with IT infrastructure and applications, getting OT information integrated efficiently with IT systems at a process level is difficult enough for many companies. Getting IT and OT systems to work together to maximize business efficiency — while avoiding negative consequences, risks and pitfalls in the process —makes the task more challenging. However, thanks to new technologies, this process is becoming more practical and is creating the opportunities for huge economic benefits when these two disciplines are successfully integrated. Evolution of Sensor-2-Server (S2S) (As described by Brandon Lewis, Technology Editor for IoT Design) S2S architectures define a method for communicating data collected by sensor platforms at the access layer of an IoT network back to servers at other layers, including but not limited to centralized servers in the core network. This type of architecture allows sensor data to be transmitted to points in the network that are best suited to the specific type of analysis, decision making, and control, which in an industrial deployment could be a SCADA controller located at the aggregation layer rather than a mass dump of heterogeneous data from hundreds or thousands of endpoints back to the core network. For critical IoT systems that require real-time or near-real-time analysis of sensor data, this more localized communications can speed decision cycles using data in motion rather than waiting to parse data at rest. Want to Learn More about S2S and the Future of Industrial IoT? For more information and a full discussion on S2S and the future of IIoT, please check out this recent interview with the IoT Roadshow and Scott Allen. You can also listen to the SoundCloud recording below!