Welcome!

Related Topics: @ThingsExpo, Java IoT, Linux Containers, Containers Expo Blog, @CloudExpo, @BigDataExpo

@ThingsExpo: Article

Putting Things to Work in the "Internet of Things"

The Internet is no longer just a network of people using computers and smart devices to communicate with each other

Connected cars, factory equipment and household products communicating over the Internet is increasingly becoming a reality – one that might soon elicit headlines like “Is the Internet of Things a big bust?”

That’s because it’s one thing to connect a device to the Internet and direct data back to the manufacturer or service provider. It’s another, to derive new information from those data streams. The ability to analyze data in the IoT is critical to designing better products, predicting maintenance issues, and even improving quality of life.

Understanding the Internet of Things
The Internet is no longer just a network of people using computers and smart devices to communicate with each other. In the not too distant future, everything from the factory floor to a city street will be connected to the Internet. Three out of four global business leaders are exploring the economic opportunities created by the Internet of Things (IoT), according to a report from the Economist.[1]

This connectivity has the potential to allow enterprises to create groundbreaking new products and services. An early warning that a piece of equipment is failing faster than expected allows a manufacturer to redesign the equipment, and if needed, get a jumpstart on recalling defective products. This could eliminate many warranty claims, a larger recall and bad press.

A sprinkler system maker could leap ahead of the competition with a system programmed to sense soil dampness and compare that with current weather forecasts to decide whether to turn a sprinkler on. A savvy entrepreneur could market garbage cans that alert municipal staff when the can is nearly full. That information could be used to re-route trucks in the short-term and over time, to optimize sanitation employee schedules.

Whatever the innovation, adding intelligence to the IoT requires advanced analytics. The ability to process and analyze data in real time – as it streams from assets and across the network – is the key to taking advantage of the IoT.

Managing the Complexity Data Streams
An interesting example of IoT potential is already in the early stages of adoption by the auto industry. McKinsey Research suggests[2] IoT technologies could save insurers and car owners $100 billion annually in accident reductions using embedded systems that detect imminent collisions - and then take evasive action. When you break apart what it would take to implement such game changing technology, the role of advanced analytics becomes clear. The data must be understood in real time, but the radar, laser and other sensor data alone isn’t enough to make an intelligent decision for the driver in that split second. It needs to know what is about to happen before it actually does happen.  And to do that, it needs models that evaluate the near future scenario, rules that form the decision points of when the model scores are relevant, and prescribe actions based on well-understood patterns and historic scenario analysis. All of that data needs to be analyzed into models that live in the streams so they are assessing real-time conditions and can guide the car away from a pending accident.

Internet-connected sensors that are being embedded in everything from roadways to refrigerators will transmit so much information that it will be meaningless without robust analytics. Consider these examples:

Sensoring and smart meter programs can reduce energy consumption, but only if energy companies have sophisticated forecasting solutions that use the data to quickly reduce expensive last-minute power grid purchases.

Remote patient monitoring can provide convenient access to health care, raise its quality and save money. But if researchers don’t use the data to immediately understand the problem detected by enhanced sensors, added monitoring will simply drive up health costs with no added benefits.

Machine monitoring sensors can diagnose equipment issues and predict asset failure prior to service disruption. When connected to inventory systems, parts would be automatically ordered and field repair team schedules would be optimized across large regions. This only happens, however, if analytics are embedded throughout this process, recognizing an issue trend as it occurs, identifying the rate of asset lifetime depletion, specifying what’s needed from stock and of course, calculating the human resource needs

Analysis in the Internet of Things
Some of the common analytic techniques used today aren’t fast enough to work with IoT data streams.  In traditional analysis, data is stored in a repository, tables, etc., and then analyzed. With streaming data, however, the algorithms and decision logic are stored and the data passes through them for analysis. This type of analysis makes it possible to identify and examine patterns of interest as the data is being created – in real time.

Instead of stream it, score it and store it, your organization needs to be able to stream it, score and then decide if you need to store it.

With advanced analytic techniques, data streaming moves beyond monitoring of existing conditions to evaluating future scenarios and examining complex questions - continuously.   And because you have up to the fraction of a second information at your fingertips – you consistently know what could happen next, tweaking tactical activities and enriching decision strategies.

To achieve predictive abilities using IoT data,  routines and algorithms are coded into software that reads the stream data at the device level or say, in a repository (typically cloud-based).  Additionally, data normalization and business rules are also included in the programming, cleansing the stream data and defining the threshold conditions associated with patterns of interest defined for current and future scenarios. In addition to monitoring conditions and thresholds, you can build smart filters into the data streams from the IoT, to decide what should be kept for further analysis to assess likely future events and plan for countless what-if scenarios, or even what to archive vs. what to throw away.

Advanced and high-performance analytics that can work with streaming data are critical to realizing the potential of the Internet of Things. Without it you’ll soon see “Internet of No Thing” headlines on your favorite website.

References

  1. The Internet of Things, Business Index
  2. The Internet of Things, McKinsey Quarterly

More Stories By Fiona McNeill

Fiona McNeill is the Global Product Marketing Manager at SAS. With a background in applying analytics to real-world business scenarios, she focuses on the automation of analytic insight in both business and application processing. Having been at SAS for over 15 years, she has worked with organizations across a variety of industries, understanding their business and helping them derive tangible benefit from their strategic use of technology. She is coauthor of the book Heuristics in Analytics: A Practical Perspective of What Influences Our Analytical World.

Latest Stories
With the proliferation of both SQL and NoSQL databases, organizations can now target specific fit-for-purpose database tools for their different application needs regarding scalability, ease of use, ACID support, etc. Platform as a Service offerings make this even easier now, enabling developers to roll out their own database infrastructure in minutes with minimal management overhead. However, this same amount of flexibility also comes with the challenges of picking the right tool, on the right ...
DevOps at Cloud Expo – being held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA – announces that its Call for Papers is open. Born out of proven success in agile development, cloud computing, and process automation, DevOps is a macro trend you cannot afford to miss. From showcase success stories from early adopters and web-scale businesses, DevOps is expanding to organizations of all sizes, including the world's largest enterprises – and delivering real results. Am...
"This week we're really focusing on scalability, asset preservation and how do you back up to the cloud and in the cloud with object storage, which is really a new way of attacking dealing with your file, your blocked data, where you put it and how you access it," stated Jeff Greenwald, Senior Director of Market Development at HGST, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
The 19th International Cloud Expo has announced that its Call for Papers is open. Cloud Expo, to be held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, brings together Cloud Computing, Big Data, Internet of Things, DevOps, Digital Transformation, Microservices and WebRTC to one location. With cloud computing driving a higher percentage of enterprise IT budgets every year, it becomes increasingly important to plant your flag in this fast-expanding business opportuni...
Large scale deployments present unique planning challenges, system commissioning hurdles between IT and OT and demand careful system hand-off orchestration. In his session at @ThingsExpo, Jeff Smith, Senior Director and a founding member of Incenergy, will discuss some of the key tactics to ensure delivery success based on his experience of the last two years deploying Industrial IoT systems across four continents.
“We're a global managed hosting provider. Our core customer set is a U.S.-based customer that is looking to go global,” explained Adam Rogers, Managing Director at ANEXIA, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
The Internet of Things will challenge the status quo of how IT and development organizations operate. Or will it? Certainly the fog layer of IoT requires special insights about data ontology, security and transactional integrity. But the developmental challenges are the same: People, Process and Platform. In his session at @ThingsExpo, Craig Sproule, CEO of Metavine, demonstrated how to move beyond today's coding paradigm and shared the must-have mindsets for removing complexity from the develo...
SYS-CON Events announced today that MangoApps will exhibit at the 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. MangoApps provides modern company intranets and team collaboration software, allowing workers to stay connected and productive from anywhere in the world and from any device.
IoT is rapidly changing the way enterprises are using data to improve business decision-making. In order to derive business value, organizations must unlock insights from the data gathered and then act on these. In their session at @ThingsExpo, Eric Hoffman, Vice President at EastBanc Technologies, and Peter Shashkin, Head of Development Department at EastBanc Technologies, discussed how one organization leveraged IoT, cloud technology and data analysis to improve customer experiences and effi...
The IETF draft standard for M2M certificates is a security solution specifically designed for the demanding needs of IoT/M2M applications. In his session at @ThingsExpo, Brian Romansky, VP of Strategic Technology at TrustPoint Innovation, explained how M2M certificates can efficiently enable confidentiality, integrity, and authenticity on highly constrained devices.
In today's uber-connected, consumer-centric, cloud-enabled, insights-driven, multi-device, global world, the focus of solutions has shifted from the product that is sold to the person who is buying the product or service. Enterprises have rebranded their business around the consumers of their products. The buyer is the person and the focus is not on the offering. The person is connected through multiple devices, wearables, at home, on the road, and in multiple locations, sometimes simultaneously...
“delaPlex Software provides software outsourcing services. We have a hybrid model where we have onshore developers and project managers that we can place anywhere in the U.S. or in Europe,” explained Manish Sachdeva, CEO at delaPlex Software, in this SYS-CON.tv interview at @ThingsExpo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Keeping pace with advancements in software delivery processes and tooling is taxing even for the most proficient organizations. Point tools, platforms, open source and the increasing adoption of private and public cloud services requires strong engineering rigor – all in the face of developer demands to use the tools of choice. As Agile has settled in as a mainstream practice, now DevOps has emerged as the next wave to improve software delivery speed and output. To make DevOps work, organization...
"We've discovered that after shows 80% if leads that people get, 80% of the conversations end up on the show floor, meaning people forget about it, people forget who they talk to, people forget that there are actual business opportunities to be had here so we try to help out and keep the conversations going," explained Jeff Mesnik, Founder and President of ContentMX, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Let’s face it, embracing new storage technologies, capabilities and upgrading to new hardware often adds complexity and increases costs. In his session at 18th Cloud Expo, Seth Oxenhorn, Vice President of Business Development & Alliances at FalconStor, discussed how a truly heterogeneous software-defined storage approach can add value to legacy platforms and heterogeneous environments. The result reduces complexity, significantly lowers cost, and provides IT organizations with improved efficienc...