2017 IIoT Prediction Series, Part 3: IT/OT Convergence & the Next-Gen Workforce
As 2017 kicks into full gear and a particularly interesting 2016 fades into the rearview mirror, we took a look around the IIoT landscape to see what this year might potentially have in store. We will be unveiling five IIoT-related predictions throughout this week and into next, so stay tuned and let us know what you think! On Tuesday, we started our predictions by looking at the potential development of Fog Computing at the Edge and its impact on cybersecurity. Yesterday, we predicted that the rise of IIoT applications will outpace consumer IoT apps. FreeWave Predictions 2017 As our prediction series continues, we’d like to examine the industrial IoT (IIoT) workforce. Most of the industries that leverage IIoT face an uncertain future as they navigate their own digital transformation, coupled with the pressures of an aging workforce. The biggest challenge affecting IoT talent recruitment is the skills gap – there are not enough qualified applicants to take on new digital-centric, IT roles. From a business perspective, IT/OT convergence further complicates the issue. Enterprises are transforming the way they operate and it impacts everyone – especially the folks on the operations side dealing with legacy systems. Each of these factors has created a talent gap for many organizations. Our IoT Recruitment Prediction Recruitment of IoT talent will continue to be a challenge, incentivizing private enterprises to directly fund secondary education programs to nurture the next generation of a digital-centric workforce. The Business Problem As organizations and enterprises reorganize under the IT umbrella to address new technology opportunities, cybersecurity threats and work towards creating a connected enterprise – there is an underlying business problem. IT teams need better visibility and control of assets in the field while learning how to integrate these people and systems into modern IT practices. Meanwhile, on the OT side, there is an entire workforce that excels at managing and troubleshooting existing legacy systems, but lacks the potential skillsets to help with new technology demands and data analysis. IT/OT convergence is challenging for many businesses and it affects all aspects of the organization. Recruitment and Solution Recruitment challenges are impacting many industries. The Wall Street Journal reported the highest number of open positions in 15 years for the manufacturing industry because the talent pool lacks the skills for the job. As IoT connects and automates more processes, this gap will only continue to grow if nothing is done proactively to change it. There also is the question of whether organizations should bring in new talent or nurture existing talent. In an effort to overcome some of these challenges, we will see enterprises (not IoT vendors) to privately fund secondary education programs to help identify and create a more skilled workforce. In addition to standard HR recruitment and training practices, we expect to see more tactics such as IoT hackathons for the industrial sector, software development and digital/IoT centric accreditations, private contests, internal skill development workshops and IIoT user conferences. This wider investment in education will benefit both the existing, aging workforce and the incoming, next-generation of workers. Stay tuned for our next prediction as we explore the future of Smart Cities across the globe.
2017 Analyst Predictions – Industrial IoT
Predictions can be enlightening as we round out the end of the year, and industry analysts covering the Industrial Internet of Things (IIoT) have begun forecasting what to expect in 2017. In the ever changing digital business landscape, companies need to keep a pulse on the technology and regulatory environments to have direction on where to focus their efforts. Over the past few years, IIoT has taken on the shared title of industry 4.0, as new ways of connecting businesses and consumers impact systems infrastructures and technology integrations across many, if not all. business lines. In honor of reigning in 2017 as a strong year for the industrial internet, we have dedicated this week’s round up to highlight some of the top IIoT analyst predictions in the coming year. Gartner Predictions: Surviving the Storm Winds of Digital Disruption By Daryl C. Plummer, Martin Reynolds, Charles S. Golvin, Allie Young, Patrick J. Sullivan, Alfonso Velosa, Benoit J. Lheureux, Andrew Frank, Gavin Tay, Manjunath Bhat, Peter Middleton, Joseph Unsworth, @rayval, @DavidFurl, Werner Goertz, @JCribbs_Gartner, Mark A. Beyer, @Alex42Linden, @noahelkin, @nheudecker, Tom Austin, @mc_angela, Fabio Chesini, Hung LeHong | Published on @Gartner_inc “Digital business innovation creates disruptive effects that have a wide-ranging impact on people and technology. However, secondary ripple effects will often prove to be more disruptive than the original disruption. Digital strategists must actively identify secondary effects when planning change.” Gartner Also Suggests That its Time to, Harness IoT Innovation to Generate Business Value By @chetster | Published on @Gartner_inc “The Internet of Things is moving beyond concepts and trials, and has begun to deliver business benefits across a range of industries. Studying innovation and how early use cases have fared will help CIOs and IT leaders capture business value.” Forrester Predictions 2017: Cybersecurity Risks Intensify By @AmyDeMartine, Jeff Pollard, @infosec_jb, @acser, @heidishey, Christopher McClean, @jz415, @merrittmaxim, @sbalaouras, Trevor Lyness, Peggy Dostie | Published on @forrester “The connected world has arrived; we live and work in it. In this new reality, the next 12 months will see battles rage that will determine the amount of control individuals have over their own data and right to privacy as well as the offensive and defensive responsibilities of our governments. This report guides security and risk (S&R) pros through five predictions for 2017 that highlight escalating ramifications of poor security hygiene and how to mitigate potential damage.” Ovum 2017 Trends: Radio Access Networks By @sonixag | Published on @OvumICT “This is part of Ovum’s 2017 Trends to Watch series. This report looks at what Ovum believes will be the major trends next year when it comes to the radio access network (RAN) market.The RAN market remains a challenging area and the need for spectrum remains a constant concern. RAN vendors are looking for new growth areas, and everybody wants 5G and they want it now. All of these factors are driving market trends.” IDC 2017 Forecast: Manufacturing Worldwide By @kimknickle, Simon Ellis, @hashtonIDC, Christopher Holmes, @jeffhojlo, @ivanoortis, @VeronesiLor, Jing Bing Zhang | Published on @IDC “This IDC study provides manufacturers with the top 10 predictions and underlying drivers that we expect to impact manufacturers’ IT investments in 2017 and beyond. Technology leaders and their counterparts in the line-of-business (LOB) operations can use this document to guide their IT strategic planning efforts. According to Kimberly Knickle, research vice president, IT Priorities and Strategies, IDC Manufacturing Insights, “Technology continues to reshape the relationship between business and IT for innovation and digital transformation. Manufacturers want to work smarter using digital technologies in their products and processes and throughout the value chain. Our predictions create a framework for IT and line-of-business executives to plan and execute technology-related initiatives in the year ahead.” As we conclude our highlights this week, we should realize these predictions are just the tip of the digital iceberg anticipated for 2017. The future could see more intelligent technologies communicating in industry 4.0 with machines processing more data. We could also expect to finally dig deeper into our IoT connected understanding. All we can do is hold tight as the next corner of digital transformation unfolds.
Connected Traffic Management Systems
Connected traffic systems are the next push in our growing digital world. There is a massive opportunity to leverage modern technology for a variety of traffic applications. The rise of the Internet of Things (IoT) has led to advancements within many municipalities to optimize public transit, traffic management and public safety. As a result, cities around the country are looking to technology and connected devices to reduce congestion and improve traffic flow. Connected Traffic Systems Technology U.S. Commuters spend 14.5 million hours stuck in traffic every day. The Urban Mobility Scorecard from 2015 reported that commuters generally needed to allow 48 minutes for a trip that would take 20 without traffic. The report predicted that conditions would continue to worsen if dedicated programs, policies and projects are not expanded. From a public transportation perspective, many cities are dealing with outdated infrastructure that can lead to severe delays and transportation outages. Voters in San Francisco, for example, recently approved a measure for a $3.5 billion regional bond to update its aging BART transportation system. In addition to investing in and fixing ageing infrastructure, U.S. cities also aim to become smarter and prepare for the future by leveraging technology. The U.S. Department of transportation has recently offered nearly $65 million in grants to cities around the country that are working on advanced transportation initiatives. The grants support a number of projects including traffic signal technology to reduce congestion at street lights, transit trip planning technology and applications, ride-sharing services, and more. While the cities work on the ground, there are also efforts to improve air traffic congestion. AT&T recently announced that it is partnering with the National Aeronautics and Space Administration (NASA) to develop a traffic management system for drones. Sensor-2-Server for Traffic Management Sensor-2-Server (S2S) solutions offer reliable connectivity options for municipalities looking to fix traffic flow issues and create smoother traffic management. By leveraging S2S operations, the city or municipality can enable intelligent communications at the edge of the communication network, from the sensor at the traffic light back to a specific server, enabling advanced data analytics. Cities with outdated communication infrastructures, such as a T1 phone line for traffic control systems, can easily update their network with wireless S2S solutions. S2S technologies are created to perform in extreme weather, offering a real-time monitoring solution around the clock. The cost of operations is significantly reduced with S2S solutions and they deliver the connectivity needed for modern IoT networks. Some S2S solutions are equipped with the ability to introduce custom, third-party applications at the edge, which can help reduce costs and enable new automation capabilities. As cities throughout the U.S. embrace IoT and work to become Smart Cities, traffic management is a major initiative. While cities work to improve aging infrastructure, they can help improve traffic congestion by incorporating a traffic management system that can leverage data from an S2S network to optimize traffic flow.
A Very Thankful Time of Year in IIoT
Thanksgiving is the time of year where we reflect on the accomplishments of the prior year and to be thankful for all that we have
Creating A Safer Environment with IoT
We can get a better understanding of the world around us by consistently monitoring our environment. The Internet of Things (IoT) has enabled large-scale environmental monitoring for commercial, industrial and research purposes. New innovations are constantly in progress that will allow us to make better, safer decisions in our everyday life and protect our environment. For example, imagine how much safer roads would be if your car could warn you about upcoming road hazards such as heavy snow or black ice based on weather and road condition data. When connected to an IoT network, modern technologies can also be used to collect data for weather predictions and monitoring. Oil and gas companies can better protect marine life and ocean environments with offshore leak detection systems. On land, residents living near coal power plant facilities can feel better about the air they breathe when air-quality is consistently monitored. Sensor-2-Server (S2S) communication and networking solutions are increasingly used to help monitor the quality of the environment to prevent and actively identify a number or potentially dangerous situations, such as hazardous material leaks and fugitive emissions. From environmental impact assessments and air quality monitoring to soil dynamics analysis, S2S solutions are meant to gather data from any sensor at any point in the IoT network and bring it back to a specific location to be acted upon. With S2S technology in place, operators can consistently gather and transmit data that affects the quality of life for the world population. It’s important to find a solution that has been proven in the harshest environments – that can withstand the weather extremes and volatile elements. Understanding Your Environment in Real-Time In many applications, especially when safety is the top priority, it is critical to review timely and accurate data to ensure there are no glaring issues with the environment. S2S technologies for environmental monitoring should offer real-time information, as well as large quantities of data that can be analyzed to understand trends through predictive analytics engines. Here are some additional applications where S2S solutions can be leveraged for environmental monitoring: CBRN Monitoring for protective measures where chemical, biological, radiological or nuclear warfare hazards may be present Fugitive Emissions Monitoring for volatile organic compounds (VOC) – this is especially common in oil and gas Leak Detection and Repair (LDAR) to ensure compliance with Environmental Protection Agency regulations. Subsea Monitoring for exploration, research and offshore oil and gas applications Levee Performance Testing to understand levee load capacity and prevent breaches. Water Level Monitoring to track rainfall or water levels in industrial settings. River Flow Monitoring to determine how much water flows through lakes and streams. Seismic Monitoring and volcanic monitoring to provide early detection of these events and enable authorities to warn citizens in advance to take appropriate precautionary measures. As we become increasingly connected to the world around us, we also gain visibility into the surrounding environmental conditions. This offers a wide and diverse range of industries a unique opportunity to monitor the environment in new ways and make intelligent decisions to prevent future negative impacts on the environment as a whole.
IIoT Top News: The Future of Wireless
Where wires once ruled the day, wireless data solutions are now entrenched into the very fabric of the business. It will be interesting to see what the future of wireless technology will be able to tackle. This past week, ITU Radio Communication Assembly met to figure out that very thing. The ITU only meets every three to four years, so it is important that they covered the current and expected wireless resolutions. Topping the list was a push for 5G systems expected to become a reality by 2020. 5G will offer extremely high definition video services, real-time low-latency applications and overall expansion of IoT. Yet another key point solved by the ITU meeting is that “RA-15 recognized that the globally connected world of IoT builds on the connectivity and functionality made possible by radio communication networks and that the growing number of IoT applications may require enhanced transmission speed, device connectivity, and energy efficiency to accommodate the significant amounts of data among a plethora of devices.” As the bright future of wireless grows across the globe, it will continue to evolve and transform the way we use wireless in our daily lives. ISA reported this week that automation is essential for the next-generation of industrial wireless. Businesses need to be switching to high-speed broadband wireless in order to capitalize on the technological applications available to move those industries forward. This surge to operate wirelessly has created a crowded technological highway, with everyone wanting their message to be heard. DARPA has recognized this noise and developed a RadioMap to detect radio frequency (RF) spectrum congestion. RadioMap is able to transmit this information through the radios already deployed for various reasons. This unique program helps create plans of action by identifying times when the frequency usage is jammed or clear, thus informing them of the best times to communicate. Now that the wireless traffic has been sorted, let’s consider the possibility of wireless power solutions. According to Oil Price, wireless power is already in use in some commercial spaces, and will continue to gain more support as technology improves. Michael McDonald with Oil Price boldly predicts wireless power could be used to support the massive energy needs of the defense and healthcare industries by 2016. Unfortunately, not everyone agrees that wireless technology has been a seamless transition. ECN recently asked a handful of industry experts about the challenges they face as they integrate wireless IoT into their business. For example, Vera Jorkitulppo, a senior product manager of GE’s embedded power product line at Critical Power Business, believes, “At the other end of the radio link, there will be a multitude of diverse IoT devices developed by innovative companies with new solutions to real-world consumer or industrial problems.” Now, the next-generation of wireless technology may have its challenges, but, overall, the future looks bright, so put on some shades and enjoy this evolution. Hope you enjoy this week’s reading. As always, tell us what we missed! The Future of Wireless Communication (MyBroadband) Last week, the ITU Radio Communication Assembly met to set the future direction of wireless communication. At this year’s assembly, Hans Groenendaal from mybroadband reported back that they had “reached significant decisions that will influence the future development of radio communications worldwide in an increasingly wireless environment.” Industrial Wireless Evolution (ISA) Establishing the next generation of industrial wireless classification, system requirements, I/O and network capabilities for the industry. Soliman Al-Walaie writes, “Wireless technology is an essential business enabler for the automation world.” What Wireless Networking Challenges Do You Foresee with the Onset of IoT? (ECN Mag) Jamie Wisniewski asked an assortment of experts what they see as possible wireless network problems with the integration of IoT. Greg Fyke, a marketing director of IoT wireless products at Silicon Labs, suggests that “There are three key wireless networking challenges for successful Industrial Internet of Things (IIoT) implementation, including reliable communication, security and control.” Darpa’s RadioMap Detects RF Spectrum Congestion (GCN) An interconnected connected wireless world has created congested airways, thus making the management of military communication and intelligence gathering radio frequencies of critical importance. “RadioMap adds value to existing radios, jammers and other RF electronic equipment used by our military forces in the field,” said John Chapin, DARPA program manager. Will 2016 Be the Year of Wireless Energy? (Oil Price) Oil Price looks at the possibility of wireless energy being able to support defense, healthcare and other massive energy needs in the near future, maybe even by 2016. Michael McDonald’s research shows that, “Wireless power has been a dream of mankind’s for decades, but the technology finally appears to be gaining some traction.”
Guest Post: Keep the Data Flowing in Oil and Gas
By Joyce Deuley, Sr. Analyst and Director of Content at James Brehm & Associates LLC State of the Industry This year has proved challenging for oil and gas companies: falling prices, crackdowns from environmental regulations, growing concern about the destabilization of land due to fracking, as well as an increasing gap between jobs and skilled engineers to name a few issues. Royal Dutch Shell, for instance, recently terminated its plans to drill off the Arctic coast of Alaska for the “foreseeable future”—this is after $7 billion dollars and more than five years spent on exploratory drilling (with disappointing results) and the purchase of costly leases and permits for the privilege to do so (Daily Mail). The Arctic Circle has been viewed by many as a “holy grail” in terms of rich oil and gas reserves—the largely untapped Great White North, if you will. Initiatives in the Baltic have also come under discussion lately, as Russia negotiates the political quagmire it has found itself in concerning territorial disputes. Still, it isn’t all doom and gloom. Our reliance on oil and gas for manufacturing, shipping, transportation, energy, and more hasn’t dissipated—rather, it will continue to increase with the rising population and result in rapidly expanding urbanization. More food will need to be shipped globally, more cars will be driven, more homes will be heated, more materials will need to be made, etc., providing rich opportunities for oil and gas companies to invest in scalable solutions, as well as to firmly root themselves as valued players in the market. Investors, and other interested parties, are paying close attention to the oil and gas markets to better determine how best to mitigate depleted reserves and improve overall productivity and efficiency: keeping their bottom lines low and profit margins high. To pull back from an environmental and global perspective on the state of the industry, let’s instead bring it into a sharp focus with its current business challenges. Problems with efficiency include legacy pipeline and refinery infrastructure that hasn’t been updated or modernized in decades, a shortage of skilled labor as qualified engineers approach retirement, the need for increased monitoring and control across remote areas, and the mission-critical need for the aggregation, interpretation and management of unprecedented amounts of data. But, effectively managing that data can present major challenges for oil and gas providers: with so many devices at the edge, they are practically drowning in the seemingly endless flood of information that is collected. The need to find reliable data management platforms that help remove complexities associated with data visualization is critical for these companies’ ability to identify and enact valuable business decisions. What to Do About It It is no secret that the Internet of Things (IoT) has proven to be disruptive across a myriad of markets. While the technologies and principles of the IoT have been around for decades, predominantly within the manufacturing and processing industries, its relatively nascent presence within the consumer electronics and wearables markets has helped rebrand the IoT with a level of “sexiness” it previously lacked. But at the heart of the IoT is a near-obsessive desire to decrease operational and deployment costs, meet compliance regulations and to dramatically increase productivity and efficiencies. The oil and gas industry happens to be one of the largest growing areas for IoT deployments and has found many ways to benefit from connected solutions, such as pipeline and wellhead monitoring. Oil and gas pipelines can span across hundreds of miles of rugged terrain. The ability to monitor such a territory can be challenging, as harsh winters and debilitating droughts, forest fires and or heavy rains can put stress on the integrity of a pipeline, plus the remote nature of its location can prevent technicians from being able to regularly service it. Another challenge is knowing when and specifically where a problem occurs. For instance, if there is a malfunction that results in a leak along one of the more remote sections of a pipeline and there is no sensor to alert someone, we could be looking at a nightmare of a situation: environmental damages, not to mention untold amounts of costly clean up, repairs and definitive losses to the oil and gas company at large. By utilizing connected sensors along the lengths of their pipelines, oil and gas companies can overcome these challenges and monitor flow, pressure, integrity of the pipeline and more. Empowered by the IoT, oil and gas providers can receive near real-time information about their entire operation, enabling decision makers to better manage their technicians, as well as improve overall production and reduce maintenance and operational costs. As oil and gas companies wait for the stock market to pivot from $50 a barrel, they need to look seriously at implementing business solutions that are going to help them weather this lull. The IoT provides many opportunities for oil and gas providers to tighten their belts by increasing efficiencies and production, ultimately reflecting in a more cushioned bottom line. Pipeline monitoring and control applications can help reduce non-productive times by up to 30%, which is just one small example of how dynamic transformations could be made by the IoT. About Joyce Deuley As Sr. Analyst and Director of Content, Joyce researches and interprets market trends, locates opportunities for growth, and researches the current happenings in the M2M and IoT space, providing our clients with up-to-date and actionable information. Joyce specializes in technical communication, translating complex data into layperson-accessible presentations, articles, and white papers. Additionally, Joyce manages, contributes, edits, and designs our newsletter, The Connected Conversation. She currently offices out of, and is a founding member of Geekdom, a tech accelerator-like co-working space in San Antonio, TX. Previously, Joyce worked as a Secondary Researcher at Compass Intelligence, learning the M2M markets alongside James Brehm. While at Compass Intelligence, she gained experience in market research, competitive analysis, content strategy, as well as qualitative research. Joyce graduated with a B.A. in English, focusing on Professional and Technical Communication, from the University of the Incarnate Word (UIW) in San Antonio. She
Ships that Sail Themselves
Is it time for ships to sail off on a journey by themselves? As the Internet of Things (IoT) connects the world, while the robotics industry continues to innovate, man and machine are merging together like never before. Unmanned aerial vehicles (UAVs) have impacted a number of industries from agriculture to security. If recent news is correct, it won’t be long before autonomous cars are traveling roads alongside us. Now, organizations and government agencies around the world are actively working to bring autonomous vessels to our oceans. What can we expect from unmanned ships operating in our largest bodies of water? IoT and robotics are being considered for a variety of commercial and military purposes at sea. For most of the world, it seems autonomous ships are in the testing phase, but there are big plans in the works around the globe: The British engine maker Rolls Royce Holdings, PLC is leading the Advanced Autonomous Waterborne Applications initiative with several other organizations and universities. The company is eyeing a timeline of remotely controlled ships setting sail by 2030 with completely autonomous ships in service by 2035. The timeline will be heavily dependent upon automation technologies’ ability to carry large amount of data from ship to shore to ensure safe operations. Recently, the UK’s Automated Ships Ltd and Norway’s Kongsberg Maritime, unveiled plans for a light-duty ship for surveying, delivering cargo to offshore installations and launching and recovering smaller remote-controlled and autonomous vehicles. “This ship is considered the world’s first unmanned ship for offshore operations and is being eyed for many uses including offshore energy, fish farming and scientific industries.” In the U.S., the Navy has begun to consider autonomous ships for a number of applications, but is cautiously approaching these new technology advancements. According to National Defense Magazine, “The Navy for now appears to be in no hurry to pour big money into drone ships and submarines. And there is little tolerance these days for risky gambles on technologies.” However, the article acknowledges that robots at sea could help do the jobs that are dangerous or costly for human operators, such as hunting enemy submarines, detonating sea mines, medical evacuations and ship repairs. The European Union (EU) appears to have a vested interest in sea robotics. As infrastructure costs rise for improving rails and roads, they have begun to seek alternative ways to move large quantities of cargo. According to Maritime Executive they have, “had a long-term goal of making short sea shipping more competitive with road and rail transport, which is under stress from the transportation bottlenecks caused by increasing volumes of internal trade.” As the EU faces massive infrastructure costs to upgrade road and rail, there is increased attention and effort directed at the “motorways of the sea.” The Defense Advanced Research Projects Agency (DARPA) has been testing a robotic ship called the “Continuous Trail Unmanned Vessel,” and has been running sea trials on its radar system. The radar is fastened to a parasail that enables heights of 500-1,500 feet. These are just a few of the autonomous vessel projects in the works. In order for unmanned vessels to operate, it is clear the ability to transport data in massive amounts will play a critical role in the success and safety of those sharing the sea with autonomous ships. As technologies evolve to meet these big data needs, we can eventually expect to see more unmanned vessels in the sea, improving offshore applications, making human jobs safer, and creating new efficiencies for organizations looking to optimize international trade.
Staying Connected at the Ski Resort
Getting connected at the ski resort, sounds like a dream come true. We can all probably admit that we often have an expectation for Wi-Fi availability at most places we go – our hotels, coffee shops, restaurants, shopping centers and more. Now, Wi-Fi is popping up in the places we would have ruled out for connectivity several years ago. Places like golf courses, campgrounds, marinas and ski resorts. This is catching on quickly. It is becoming a necessity to offer Wi-Fi at ski resorts and this is largely due to the fact that modern technology can allow it. The rise The Internet of Things (IoT) has opened the door to not only connectivity everywhere, but data that allows us to make better decisions. There are apps available today that allow skiers to compare lift line times and identify their location on a trail map. While the concept of complete connectivity is quickly catching on, there are still challenges to overcome. For example, Wi-Fi signals can be limited in strength; especially in snow-packed, rugged outdoor environments at ski resorts where temperatures are consistently well below the freezing-point. Connectivity at the Ski Resort Because the majority of their operations are outdoors, ski resorts require a rugged Wi-Fi option. This is true for all outdoor Wi-Fi applications – whether it’s a campground, marina, golf course or any other outdoor-based business. Each will face challenges due to varying landscapes and weather extremes. These businesses looking to bring connectivity to customers need to find a shorthaul solution that is rugged and secure enough to remain connected in the most extreme elements. They also need to enable high-speed, high throughput application solutions. In addition bringing connectivity to ski resorts – we’ve seen increased adoption of industrial Wi-Fi networks for security programs and disaster response. For the skiing industry, this may be beneficial to avalanche and rescue teams. With the added ability to track skiers on the mountain, as well as send targeted warning or emergency alert messages across the network, resorts would have an additional tool in the arsenal to facilitate safety measures across wide areas. Having reliable Wi-Fi during emergency communications, especially high-speed Voice, Video, Data and Sensor (VVDS) data transport, can help ensure secure lines of communication during emergency or disasters. Additionally, resorts can leverage the secure network from VVDS enabled Wi-Fi to increase resort security. The Rugged Solution Solutions are available today that will help ski resorts stay connected. These types of technologies are used every day in highly industrial environments like oil and gas, water/wastewater and even by the military. They function in the most remote, volatile, exposed environments. Now, they can be used in innovative ways to bring connectivity to ski resorts. Whether a ski resort wants to offer Wi-Fi to guests so they can better access their skiing apps and GPS, or if it’s to create a secure communication link for emergencies and rescue efforts – these solutions are designed to ensure connectivity. They offer robust, secure transport of VVDS information over rugged, shorthaul communication networks for edge devices and outdoor assets. They are specifically designed for outdoor Wi-Fi connectivity that has been tested and proven in extreme weather and environmental conditions.
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.