|By Sam Ganga||
|August 12, 2014 02:00 PM EDT||
Science fiction films abound that warn of machines taking control and wreaking havoc on the human race. "2001: A Space Odyssey," "War Games" and "I, Robot" are just a few of the titles that propose what might happen if we hand too much power over to intelligent, interconnected machines.
Decades after the first cautionary tale, the world's machines are more intelligent and more interconnected than even science fiction authors could have predicted. Machine to Machine (M2M) communication and the mobile revolution have led to the phenomenon of Big Data, an influx of structured and unstructured data at volumes and velocities never before heard of. The insightful analysis of all that data is proving to be a blessing to humanity, not the threat that many feared. M2M and Big Data Analytics can help reduce costs and create competitive advantage for a wide variety of businesses.
What Is M2M?
M2M refers to systems and technologies that make it possible for networked devices to exchange information and perform actions on their own, without (or with minimal) human intervention. Gathering sensor data from devices, analyzing it and using it to exercise more intelligent control can drive better outcomes. Everyday examples include:
Smart meters, coupled with predictive analytics, enable utility companies to predict demand patterns, automatically adjust to meet peak demand and avoid over-production when demand is low.
Remote medical sensors can monitor patients, remind them if they've forgotten their medications and alert doctors when intervention might be needed.
Smart buildings have sensors that can analyze environmental data to save energy and improve safety.
Traffic data from networked sensors can be analyzed to predict shifts in traffic patterns. Using this information to control traffic signals can actually prevent traffic jams, not just ease them.
Automated systems like GM's OnStar can alert emergency services when accidents occur, even when the humans involved aren't able to help themselves.
How M2M Came to Be
M2M didn't arrive on the scene overnight; as with anything else, it followed an evolutionary process. Back in the 1980s, Supervisory Control And Data Acquisition (SCADA) systems were introduced to enhance controls for electricity generation, transmission and distribution, and to improve monitoring and control for traffic and transportation systems. In the '90s, Wireless Sensor Networks were introduced to improve monitoring and control in many manufacturing and industrial systems. Wireless made it easier to monitor and control a broader range of devices but only supported limited, short-range connections.
When data modules were introduced in the mid-1990s and early 2000s that could communicate via cellular networks, a major leap forward occurred. These systems were used first to connect point of sale (POS) terminals, vehicle sensors and other remote monitoring and tracking systems, and then were further extended to automatic meter reading, security, elevator control, fleet management, vending and telemedicine.
M2M communication and applications have really exploded in diversity and number since the introduction of the Internet as a backbone for communication. Three major factors have combined to accelerate the recent growth in M2M:
- More data from more devices can be combined and analyzed more quickly due to advances in tools and technologies for big data analysis and predictive analytics. This enables machine-driven actions based on anticipated conditions - not just faster reaction times.
- The "everywhereness" of broadband networks, wireless and Internet has given rise to the Internet of Things (IoT) and has made it easier and cheaper than ever to connect devices. Assign an IP address to a device with Internet access and you can communicate with it anywhere in the world.
- Cheaper and smaller sensors, memory and processing power mean that more devices can be networked, and the devices themselves can be smarter.
M2M Now and in the Future
Gartner Inc. estimates that there are currently just under 30 billion connected devices and projects $309 billion in additional revenue for product and service suppliers by 2020 due to IoT. They also predict $1.9 trillion in total economic impact from improved productivity and cost savings, among other factors.
As an example of IoT's impact, Gartner turns its attention to data centers. The analyst firm predicts that IoT product and service suppliers will generate revenue exceeding $300 billion, mostly in services, by 2020.
How M2M Is Being Applied
With virtually every industry impacted, M2M's technology solutions applications are startling in their breadth and diversity. Machina Research points to benefits as varied as reduced energy costs, improved safety and security, and increased efficiency and faster response times for emergency services and national defense. Here are some examples:
In terms of how far along companies in key verticals are in implementing M2M initiatives, another recent study by Techpro Research offers some insight. Energy, IT and automotive top the list in current implementations, or plans to implement in the next 12 months, followed by Healthcare, Facility Management, Manufacturing and Retail.
M2M Success in the Marketplace
If businesses do thoughtful planning around how to use M2M to achieve their goals, opportunities to boost revenues, cut costs and more effectively serve customers are tremendous. A few recent examples include:
Retail - Nestlé Nespresso SA has equipped its coffee machines used in restaurants, hotels, offices and luxury retail boutiques to transmit operational and performance data from each machine to a cloud platform for tracking and analysis. The system tracks descaling and other maintenance procedures and alerts technical staff if servicing is required. The applications can also be used to remotely adjust water temperature and pressure. The system helps ensure that machines are maintained in excellent condition, that they produce the highest-quality coffee, cup after cup, and that customers are well supplied with their coffee of choice.
Transportation - The automotive industry and the U.S. Federal Government are embracing M2M. The US Department of Transportation recently conducted research that suggests that Vehicle to Vehicle (V2V) technology could prevent the majority of crashes involving two or more vehicles. Sensors can monitor speed and location of nearby vehicles, analyze risks and either warn drivers (near term) or take action on their own (longer term) to avoid accidents. The research could lead to a mandate to use V2V in the future.
Healthcare - Partnering with the University Teaching Hospitals of Grenoble and Toulouse, France Telecom R&D launched a project called "Gluconet" for managing diabetic patients remotely. A special instrument is used to periodically read patient glycemia data. This information gets transmitted automatically to the management center via mobile devices. The doctors can access the information over the Internet. Based on the analysis, doctors send medical advice to patients via SMS or voice messaging. The key advantage here is that both patients and doctors are alerted of any complications well before they become life-threatening.
Consumer - Lexmark, a provider of printing and imaging products, software, solutions and services, deployed M2M for more effective customer servicing. Lexmark uses M2M to collect data from millions of printers. The company analyzes the data to streamline its products to serve customers better, increase revenues and reduce operational costs.
Facilities Management - Commercial real estate services firm Jones Lang LaSalle (JLL) deployed an M2M system called IntelliCommand to collect data from building systems for security and protection against heating, cooling or fire incidents. Information collected by remote sensors is transmitted to a cloud-hosted system for in-depth analysis. When sensors collect data that strays outside of established parameters, alarms are relayed to a control center to alert managers. JLL's pilot installation with four sites enabled clients to cut costs by 15-20 percent. The real estate giant is now extending its deployment to 76 buildings.
How to Begin the Process
M2M possibilities for some organizations are self-evident. An equipment manufacturer might see an opportunity to leverage machine data to provide better service and build loyalty. Another might see an opportunity to add value that can be monetized. Some companies might find themselves threatened by competitors who have already started using M2M to gain advantage. But it's not so cut and dried for some businesses. The "M2M Opportunity Matrix" shown here offers some structure that can be used to think about M2M and identify opportunities that can improve business performance.
Listed across the top of the Matrix are possible business objectives. This isn't an exhaustive list, but you could do a lot of good for your business by finding ways to reduce cost, increase revenue or add value.
Options related to data sources are listed down the left side. Your organization might already have a large database of information that's coming in from POS systems or manufacturing control systems or some other source - Data In-Hand. But maybe you haven't figured out what to do with the information yet. There might be additional data that you could be collecting from existing "sensors" - New Data from Existing Sources. Or there might be new data that you could access with new sensors, or by sourcing from outside your company - New Data from New Sources. Probably, the data you already have in hand is going to be the easiest to tap into to achieve business objectives. But some opportunities might be so valuable that it's worth deploying new sensors to gather new data.
There's a potential M2M opportunity at the juncture of each business objective and data source. So, do some brainstorming. Start the process by thinking of how to leverage different data sources to achieve various business objectives. It can go in a lot of directions from there.
Alternatively, an experienced data consultant can help you look objectively at your situation and help you to identify low-hanging fruit or the really game-changing opportunities that could deliver more transformative results. There are a lot of right answers. The best thing is to get started.
Making the Most of M2M
It turns out that, so far at least, all those cautionary tales about intelligent machines have proven untrue. In fact, interconnected machines and the data they generate are improving the ways we live and do business. Smarter systems that don't need to rely on slower human input and that can more quickly adapt as needed are the upshot of M2M. Even now we are seeing incredible innovations like remote glucose monitoring, more efficient printing and safer buildings. And that's only the beginning. At the risk of imitating sci fi writers who were a bit off-base, we hesitate to predict what other life-enhancing technologies powered by M2M are on the horizon.
You, meanwhile, should not hesitate to take part in the M2M revolution. If you wait for someone else to figure out how to best leverage M2M, you are likely to lose market share or lose the opportunity altogether. It may seem overwhelming to know where to start; if that's the case, work with a data consultant who can help create a plan. Don't let the intelligent machines outsmart you.
There will be 20 billion IoT devices connected to the Internet soon. What if we could control these devices with our voice, mind, or gestures? What if we could teach these devices how to talk to each other? What if these devices could learn how to interact with us (and each other) to make our lives better? What if Jarvis was real? How can I gain these super powers? In his session at 17th Cloud Expo, Chris Matthieu, co-founder and CTO of Octoblu, will show you!
Oct. 10, 2015 11:00 AM EDT Reads: 118
Developing software for the Internet of Things (IoT) comes with its own set of challenges. Security, privacy, and unified standards are a few key issues. In addition, each IoT product is comprised of at least three separate application components: the software embedded in the device, the backend big-data service, and the mobile application for the end user's controls. Each component is developed by a different team, using different technologies and practices, and deployed to a different stack/target - this makes the integration of these separate pipelines and the coordination of software upd...
Oct. 10, 2015 11:00 AM EDT Reads: 324
As a company adopts a DevOps approach to software development, what are key things that both the Dev and Ops side of the business must keep in mind to ensure effective continuous delivery? In his session at DevOps Summit, Mark Hydar, Head of DevOps, Ericsson TV Platforms, will share best practices and provide helpful tips for Ops teams to adopt an open line of communication with the development side of the house to ensure success between the two sides.
Oct. 10, 2015 11:00 AM EDT Reads: 638
Mobile messaging has been a popular communication channel for more than 20 years. Finnish engineer Matti Makkonen invented the idea for SMS (Short Message Service) in 1984, making his vision a reality on December 3, 1992 by sending the first message ("Happy Christmas") from a PC to a cell phone. Since then, the technology has evolved immensely, from both a technology standpoint, and in our everyday uses for it. Originally used for person-to-person (P2P) communication, i.e., Sally sends a text message to Betty – mobile messaging now offers tremendous value to businesses for customer and empl...
Oct. 10, 2015 10:15 AM EDT Reads: 336
The IoT market is on track to hit $7.1 trillion in 2020. The reality is that only a handful of companies are ready for this massive demand. There are a lot of barriers, paint points, traps, and hidden roadblocks. How can we deal with these issues and challenges? The paradigm has changed. Old-style ad-hoc trial-and-error ways will certainly lead you to the dead end. What is mandatory is an overarching and adaptive approach to effectively handle the rapid changes and exponential growth.
Oct. 10, 2015 10:00 AM EDT Reads: 256
SYS-CON Events announced today that Sandy Carter, IBM General Manager Cloud Ecosystem and Developers, and a Social Business Evangelist, will keynote at the 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA.
Oct. 10, 2015 10:00 AM EDT Reads: 131
WebRTC converts the entire network into a ubiquitous communications cloud thereby connecting anytime, anywhere through any point. In his session at WebRTC Summit,, Mark Castleman, EIR at Bell Labs and Head of Future X Labs, will discuss how the transformational nature of communications is achieved through the democratizing force of WebRTC. WebRTC is doing for voice what HTML did for web content.
Oct. 10, 2015 09:00 AM EDT Reads: 1,443
Today air travel is a minefield of delays, hassles and customer disappointment. Airlines struggle to revitalize the experience. GE and M2Mi will demonstrate practical examples of how IoT solutions are helping airlines bring back personalization, reduce trip time and improve reliability. In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect with GE, and Dr. Sarah Cooper, M2Mi's VP Business Development and Engineering, will explore the IoT cloud-based platform technologies driving this change including privacy controls, data transparency and integration of real time context w...
Oct. 10, 2015 09:00 AM EDT Reads: 158
The IoT is upon us, but today’s databases, built on 30-year-old math, require multiple platforms to create a single solution. Data demands of the IoT require Big Data systems that can handle ingest, transactions and analytics concurrently adapting to varied situations as they occur, with speed at scale. In his session at @ThingsExpo, Chad Jones, chief strategy officer at Deep Information Sciences, will look differently at IoT data so enterprises can fully leverage their IoT potential. He’ll share tips on how to speed up business initiatives, harness Big Data and remain one step ahead by apply...
Oct. 10, 2015 09:00 AM EDT Reads: 641
"Matrix is an ambitious open standard and implementation that's set up to break down the fragmentation problems that exist in IP messaging and VoIP communication," explained John Woolf, Technical Evangelist at Matrix, in this SYS-CON.tv interview at @ThingsExpo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
Oct. 10, 2015 07:00 AM EDT Reads: 5,951
WebRTC has had a real tough three or four years, and so have those working with it. Only a few short years ago, the development world were excited about WebRTC and proclaiming how awesome it was. You might have played with the technology a couple of years ago, only to find the extra infrastructure requirements were painful to implement and poorly documented. This probably left a bitter taste in your mouth, especially when things went wrong.
Oct. 10, 2015 06:00 AM EDT Reads: 826
Nowadays, a large number of sensors and devices are connected to the network. Leading-edge IoT technologies integrate various types of sensor data to create a new value for several business decision scenarios. The transparent cloud is a model of a new IoT emergence service platform. Many service providers store and access various types of sensor data in order to create and find out new business values by integrating such data.
Oct. 10, 2015 04:00 AM EDT Reads: 608
The broad selection of hardware, the rapid evolution of operating systems and the time-to-market for mobile apps has been so rapid that new challenges for developers and engineers arise every day. Security, testing, hosting, and other metrics have to be considered through the process. In his session at Big Data Expo, Walter Maguire, Chief Field Technologist, HP Big Data Group, at Hewlett-Packard, will discuss the challenges faced by developers and a composite Big Data applications builder, focusing on how to help solve the problems that developers are continuously battling.
Oct. 10, 2015 04:00 AM EDT Reads: 521
There are so many tools and techniques for data analytics that even for a data scientist the choices, possible systems, and even the types of data can be daunting. In his session at @ThingsExpo, Chris Harrold, Global CTO for Big Data Solutions for EMC Corporation, will show how to perform a simple, but meaningful analysis of social sentiment data using freely available tools that take only minutes to download and install. Participants will get the download information, scripts, and complete end-to-end walkthrough of the analysis from start to finish. Participants will also be given the pract...
Oct. 10, 2015 03:00 AM EDT Reads: 341
WebRTC: together these advances have created a perfect storm of technologies that are disrupting and transforming classic communications models and ecosystems. In his session at WebRTC Summit, Cary Bran, VP of Innovation and New Ventures at Plantronics and PLT Labs, will provide an overview of this technological shift, including associated business and consumer communications impacts, and opportunities it may enable, complement or entirely transform.
Oct. 10, 2015 02:15 AM EDT Reads: 772
SYS-CON Events announced today that Dyn, the worldwide leader in Internet Performance, will exhibit at SYS-CON's 17th International Cloud Expo®, which will take place on November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. Dyn is a cloud-based Internet Performance company. Dyn helps companies monitor, control, and optimize online infrastructure for an exceptional end-user experience. Through a world-class network and unrivaled, objective intelligence into Internet conditions, Dyn ensures traffic gets delivered faster, safer, and more reliably than ever.
Oct. 10, 2015 02:00 AM EDT Reads: 662
WebRTC services have already permeated corporate communications in the form of videoconferencing solutions. However, WebRTC has the potential of going beyond and catalyzing a new class of services providing more than calls with capabilities such as mass-scale real-time media broadcasting, enriched and augmented video, person-to-machine and machine-to-machine communications. In his session at @ThingsExpo, Luis Lopez, CEO of Kurento, will introduce the technologies required for implementing these ideas and some early experiments performed in the Kurento open source software community in areas ...
Oct. 10, 2015 01:00 AM EDT Reads: 788
Too often with compelling new technologies market participants become overly enamored with that attractiveness of the technology and neglect underlying business drivers. This tendency, what some call the “newest shiny object syndrome,” is understandable given that virtually all of us are heavily engaged in technology. But it is also mistaken. Without concrete business cases driving its deployment, IoT, like many other technologies before it, will fade into obscurity.
Oct. 10, 2015 12:00 AM EDT Reads: 185
Who are you? How do you introduce yourself? Do you use a name, or do you greet a friend by the last four digits of his social security number? Assuming you don’t, why are we content to associate our identity with 10 random digits assigned by our phone company? Identity is an issue that affects everyone, but as individuals we don’t spend a lot of time thinking about it. In his session at @ThingsExpo, Ben Klang, Founder & President of Mojo Lingo, will discuss the impact of technology on identity. Should we federate, or not? How should identity be secured? Who owns the identity? How is identity ...
Oct. 9, 2015 10:00 PM EDT Reads: 455
The buzz continues for cloud, data analytics and the Internet of Things (IoT) and their collective impact across all industries. But a new conversation is emerging - how do companies use industry disruption and technology enablers to lead in markets undergoing change, uncertainty and ambiguity? Organizations of all sizes need to evolve and transform, often under massive pressure, as industry lines blur and merge and traditional business models are assaulted and turned upside down. In this new data-driven world, marketplaces reign supreme while interoperability, APIs and applications deliver un...
Oct. 9, 2015 08:00 PM EDT Reads: 323