Welcome!

Cloud Expo Authors: Aria Blog, Kira Makagon, Elizabeth White, Robert Reeves, Pat Romanski

Related Topics: @ThingsExpo, Java, Linux, Virtualization, Cloud Expo, Big Data Journal

@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.

@CloudExpo Stories
We are all here because we are sold on the transformative promise of The Cloud. But what good is all of this ephemeral, on-demand infrastructure if your usage doesn't actually improve the agility and speed of your business? How must Operations adapt in order to avoid stifling your Cloud initiative? In his session at DevOps Summit, Damon Edwards, co-founder and managing partner of the DTO Solutions, will highlight the successful organizational, process, and tooling patterns of high-performing c...
Over the past year, Datical has had amazing success with our flagship product, Datical DB. We’ve seen multiple visionary, sector-leading companies select Datical DB to drive their Application Schema changes. Now that the number has grown rapidly over the past year, we can begin to see patterns in why customers choose Datical DB. One of them turns out to be pretty emblematic of our other customers. So, let's examine the reasons why they chose to adopt Datical DB.
“The year of the cloud – we have no idea when it's really happening but we think it's happening now. For those technology providers like Zentera that are helping enterprises move to the cloud - it's been fun to watch," noted Mike Loftus, VP Product Management and Marketing at Zentera Systems, in this SYS-CON.tv interview at Cloud Expo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
Technology is enabling a new approach to collecting and using data. This approach, commonly referred to as the "Internet of Things" (IoT), enables businesses to use real-time data from all sorts of things including machines, devices and sensors to make better decisions, improve customer service, and lower the risk in the creation of new revenue opportunities. In his General Session at Internet of @ThingsExpo, Dave Wagstaff, Vice President and Chief Architect at BSQUARE Corporation, discuss the ...
"ElasticBox is an enterprise company that makes it very easy for developers and IT ops to collaborate to develop, build and deploy applications on any cloud - private, public or hybrid," stated Monish Sharma, VP of Customer Success at ElasticBox, in this SYS-CON.tv interview at DevOps Summit, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
Agility is top of mind for Cloud/Service providers and Enterprises alike. Policy Driven Data Center provides a policy model for application deployment by decoupling application needs from the underlying infrastructure primitives. In his session at 15th Cloud Expo, David Klebanov, a Technical Solutions Architect with Cisco Systems, discussed how it differentiates from the software-defined top-down control by offering a declarative approach to allow faster and simpler application deployment. Davi...
Cloud Expo 2014 TV commercials will feature @ThingsExpo, which was launched in June, 2014 at New York City's Javits Center as the largest 'Internet of Things' event in the world.
Cloud Technology Partners on Wednesday announced it has been recognized by the Modern Infrastructure Impact Awards as one of the Best Amazon Web Services (AWS) Consulting Partners. Selected by the editors of TechTarget's SearchDataCenter.com, and by votes from customers and strategic channel partners, the companies acknowledged by the Modern Infrastructure Impact Awards represent the top providers of cloud consulting services for AWS including application migration, application development, inf...
“Will Jaya is a direct source for server integration and storage solutions. If you are looking for any specific configurations for a project we can help you configure based on your needs and requirements," explained Netty Goya, CEO of Will Jaya, in this SYS-CON.tv interview at 15th Cloud Expo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
CloudBees, Inc., has announced a $23.5 million financing round, led by longtime CloudBees investor Lightspeed Venture Partners. Existing investors Matrix Partners, Verizon Ventures and Blue Cloud Ventures also participated in the round. The latest funding announcement follows earlier rounds of $4 million, $10.5 million and $10.8 million, bringing the total investment in CloudBees to just under $50 million since the company’s inception in 2010. Previous venture investment rounds were led by Ma...
“We help people build clusters, in the classical sense of the cluster. We help people put a full stack on top of every single one of those machines. We do the full bare metal install," explained Greg Bruno, Vice President of Engineering and co-founder of StackIQ, in this SYS-CON.tv interview at 15th Cloud Expo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
In this demo at 15th Cloud Expo, John Meza, Product Engineer at Esri, showed how Esri products hook into Hadoop cluster to allow you to do spatial analysis on the spatial data within your cluster, and he demonstrated rendering from a data center with ArcGIS Pro, a new product that has a brand new rendering engine.
"Blue Box has been around for 10-11 years, and last year we launched Blue Box Cloud. We like the term 'Private Cloud as a Service' because we think that embodies what we are launching as a product - it's a managed hosted private cloud," explained Giles Frith, Vice President of Customer Operations at Blue Box, in this SYS-CON.tv interview at DevOps Summit, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
"People are a lot more knowledgeable about APIs now. There are two types of people who work with APIs - IT people who want to use APIs for something internal and the product managers who want to do something outside APIs for people to connect to them," explained Roberto Medrano, Executive Vice President at SOA Software, in this SYS-CON.tv interview at Cloud Expo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
The Software Defined Data Center (SDDC), which enables organizations to seamlessly run in a hybrid cloud model (public + private cloud), is here to stay. IDC estimates that the software-defined networking market will be valued at $3.7 billion by 2016. Security is a key component and benefit of the SDDC, and offers an opportunity to build security 'from the ground up' and weave it into the environment from day one. In his session at 16th Cloud Expo, Reuven Harrison, CTO and Co-Founder of Tufin,...
Performance is the intersection of power, agility, control, and choice. If you value performance, and more specifically consistent performance, you need to look beyond simple virtualized compute. Many factors need to be considered to create a truly performant environment. In his General Session at 15th Cloud Expo, Harold Hannon, Sr. Software Architect at SoftLayer, discussed how to take advantage of a multitude of compute options and platform features to make cloud the cornerstone of your onlin...
"We are the top stocking distributor for HP renew products in North America. We can only sell to U.S. authorized partners and resellers for HP," explained Miguel Diazdelcastillo Jr., Sales Executive at Creative Business Solutions, in this SYS-CON.tv interview at Cloud Expo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
Puppet Labs on Wednesday released the DevOps Salary Report, based on salary data gathered from Puppet Labs' industry-recognized State of DevOps Report. The data confirms that market demand for DevOps skills is growing, and that DevOps engineers are among the highest paid IT practitioners today. That's because IT organizations today are grappling with how to be more agile and responsive to the business, while maintaining the stability of their infrastructure. DevOps practices, such as continuous ...
Software Defined Storage provides many benefits for customers including agility, flexibility, faster adoption of new technology and cost effectiveness. However, for IT organizations it can be challenging and complex to build your Enterprise Grade Storage from software. In his session at Cloud Expo, Paul Turner, CMO at Cloudian, looked at the new Original Design Manufacturer (ODM) market and how it is changing the storage world. Now Software Defined Storage companies can build Enterprise grade ...
Hardware will never be more valuable than on the day it hits your loading dock. Each day new servers are not deployed to production the business is losing money. While Moore's Law is typically cited to explain the exponential density growth of chips, a critical consequence of this is rapid depreciation of servers. The hardware for clustered systems (e.g., Hadoop, OpenStack) tends to be significant capital expenses. In his session at Big Data Expo, Mason Katz, CTO and co-founder of StackIQ, disc...