Welcome!

@ThingsExpo Authors: William Schmarzo, Elizabeth White, Liz McMillan, Kevin Jackson, Pat Romanski

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

@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.

@ThingsExpo Stories
A strange thing is happening along the way to the Internet of Things, namely far too many devices to work with and manage. It has become clear that we'll need much higher efficiency user experiences that can allow us to more easily and scalably work with the thousands of devices that will soon be in each of our lives. Enter the conversational interface revolution, combining bots we can literally talk with, gesture to, and even direct with our thoughts, with embedded artificial intelligence, whic...
BnkToTheFuture.com is the largest online investment platform for investing in FinTech, Bitcoin and Blockchain companies. We believe the future of finance looks very different from the past and we aim to invest and provide trading opportunities for qualifying investors that want to build a portfolio in the sector in compliance with international financial regulations.
Imagine if you will, a retail floor so densely packed with sensors that they can pick up the movements of insects scurrying across a store aisle. Or a component of a piece of factory equipment so well-instrumented that its digital twin provides resolution down to the micrometer.
In his keynote at 18th Cloud Expo, Andrew Keys, Co-Founder of ConsenSys Enterprise, provided an overview of the evolution of the Internet and the Database and the future of their combination – the Blockchain. Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settle...
Product connectivity goes hand and hand these days with increased use of personal data. New IoT devices are becoming more personalized than ever before. In his session at 22nd Cloud Expo | DXWorld Expo, Nicolas Fierro, CEO of MIMIR Blockchain Solutions, will discuss how in order to protect your data and privacy, IoT applications need to embrace Blockchain technology for a new level of product security never before seen - or needed.
Leading companies, from the Global Fortune 500 to the smallest companies, are adopting hybrid cloud as the path to business advantage. Hybrid cloud depends on cloud services and on-premises infrastructure working in unison. Successful implementations require new levels of data mobility, enabled by an automated and seamless flow across on-premises and cloud resources. In his general session at 21st Cloud Expo, Greg Tevis, an IBM Storage Software Technical Strategist and Customer Solution Architec...
Nordstrom is transforming the way that they do business and the cloud is the key to enabling speed and hyper personalized customer experiences. In his session at 21st Cloud Expo, Ken Schow, VP of Engineering at Nordstrom, discussed some of the key learnings and common pitfalls of large enterprises moving to the cloud. This includes strategies around choosing a cloud provider(s), architecture, and lessons learned. In addition, he covered some of the best practices for structured team migration an...
No hype cycles or predictions of a gazillion things here. IoT is here. You get it. You know your business and have great ideas for a business transformation strategy. What comes next? Time to make it happen. In his session at @ThingsExpo, Jay Mason, an Associate Partner of Analytics, IoT & Cybersecurity at M&S Consulting, presented a step-by-step plan to develop your technology implementation strategy. He also discussed the evaluation of communication standards and IoT messaging protocols, data...
Coca-Cola’s Google powered digital signage system lays the groundwork for a more valuable connection between Coke and its customers. Digital signs pair software with high-resolution displays so that a message can be changed instantly based on what the operator wants to communicate or sell. In their Day 3 Keynote at 21st Cloud Expo, Greg Chambers, Global Group Director, Digital Innovation, Coca-Cola, and Vidya Nagarajan, a Senior Product Manager at Google, discussed how from store operations and ...
In his session at 21st Cloud Expo, Raju Shreewastava, founder of Big Data Trunk, provided a fun and simple way to introduce Machine Leaning to anyone and everyone. He solved a machine learning problem and demonstrated an easy way to be able to do machine learning without even coding. Raju Shreewastava is the founder of Big Data Trunk (www.BigDataTrunk.com), a Big Data Training and consulting firm with offices in the United States. He previously led the data warehouse/business intelligence and B...
"IBM is really all in on blockchain. We take a look at sort of the history of blockchain ledger technologies. It started out with bitcoin, Ethereum, and IBM evaluated these particular blockchain technologies and found they were anonymous and permissionless and that many companies were looking for permissioned blockchain," stated René Bostic, Technical VP of the IBM Cloud Unit in North America, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Conventi...
When shopping for a new data processing platform for IoT solutions, many development teams want to be able to test-drive options before making a choice. Yet when evaluating an IoT solution, it’s simply not feasible to do so at scale with physical devices. Building a sensor simulator is the next best choice; however, generating a realistic simulation at very high TPS with ease of configurability is a formidable challenge. When dealing with multiple application or transport protocols, you would be...
Smart cities have the potential to change our lives at so many levels for citizens: less pollution, reduced parking obstacles, better health, education and more energy savings. Real-time data streaming and the Internet of Things (IoT) possess the power to turn this vision into a reality. However, most organizations today are building their data infrastructure to focus solely on addressing immediate business needs vs. a platform capable of quickly adapting emerging technologies to address future ...
We are given a desktop platform with Java 8 or Java 9 installed and seek to find a way to deploy high-performance Java applications that use Java 3D and/or Jogl without having to run an installer. We are subject to the constraint that the applications be signed and deployed so that they can be run in a trusted environment (i.e., outside of the sandbox). Further, we seek to do this in a way that does not depend on bundling a JRE with our applications, as this makes downloads and installations rat...
Widespread fragmentation is stalling the growth of the IIoT and making it difficult for partners to work together. The number of software platforms, apps, hardware and connectivity standards is creating paralysis among businesses that are afraid of being locked into a solution. EdgeX Foundry is unifying the community around a common IoT edge framework and an ecosystem of interoperable components.
DX World EXPO, LLC, a Lighthouse Point, Florida-based startup trade show producer and the creator of "DXWorldEXPO® - Digital Transformation Conference & Expo" has announced its executive management team. The team is headed by Levent Selamoglu, who has been named CEO. "Now is the time for a truly global DX event, to bring together the leading minds from the technology world in a conversation about Digital Transformation," he said in making the announcement.
In this strange new world where more and more power is drawn from business technology, companies are effectively straddling two paths on the road to innovation and transformation into digital enterprises. The first path is the heritage trail – with “legacy” technology forming the background. Here, extant technologies are transformed by core IT teams to provide more API-driven approaches. Legacy systems can restrict companies that are transitioning into digital enterprises. To truly become a lead...
Digital Transformation (DX) is not a "one-size-fits all" strategy. Each organization needs to develop its own unique, long-term DX plan. It must do so by realizing that we now live in a data-driven age, and that technologies such as Cloud Computing, Big Data, the IoT, Cognitive Computing, and Blockchain are only tools. In her general session at 21st Cloud Expo, Rebecca Wanta explained how the strategy must focus on DX and include a commitment from top management to create great IT jobs, monitor ...
"Cloud Academy is an enterprise training platform for the cloud, specifically public clouds. We offer guided learning experiences on AWS, Azure, Google Cloud and all the surrounding methodologies and technologies that you need to know and your teams need to know in order to leverage the full benefits of the cloud," explained Alex Brower, VP of Marketing at Cloud Academy, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clar...
The IoT Will Grow: In what might be the most obvious prediction of the decade, the IoT will continue to expand next year, with more and more devices coming online every single day. What isn’t so obvious about this prediction: where that growth will occur. The retail, healthcare, and industrial/supply chain industries will likely see the greatest growth. Forrester Research has predicted the IoT will become “the backbone” of customer value as it continues to grow. It is no surprise that retail is ...