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  Think Big – Now Think Even Bigger
  Join Us at Internet of Things at Cloud Expo, November 11-13,
at the Javits Center!


The Internet of Things (IoT) is the most profound change in personal and enterprise IT since the creation of the Worldwide Web more than 20 years ago.

All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades.

With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend Internet of Things at Cloud Expo in New York City. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be!

Delegates to Internet of Things at Cloud Expo will be able to attend eight separate, information-packed tracks:

  • Enterprise Cloud
  • Digital Transformation
  • The API Enterprise | Mobility & Security
  • DevOps | Containers & Microservices
  • Cognitive Computing | AI, ML, DL
  • Big Data | Analytics
  • IoT | IIoT | Smart Cities
  • Hot Topics | FinTech | WebRTC

There are 120 breakout sessions in all, with Keynotes, General Sessions, and Power Panels adding to three days of incredibly rich presentations and content.


We'll see you in New York!



Day 3 Keynote at @ThingsExpo | Chris Matthieu, CTO of Octoblu
In his keynote at @ThingsExpo, Chris Matthieu, Director of IoT Engineering at Citrix and co-founder and CTO of Octoblu, focused on building an IoT platform and company. He provided a behind-the-scenes look at Octoblu's platform, business, and pivots along the way (including the Citrix acquisition of Octoblu).
  Themes & Topics to Be Discussed

Consumer IoT
• Wearables
• Smart Appliances
• Smart Cars
• Smartphones 2.0
• Automation
• Smart Travel
• Personal Fitness
• Health Care
• Personalized Marketing
• Customized Shopping
• Personal Finance
• The Digital Divide
• Mobile Cash & Markets
• Games & The IoT
• The Future of Education
• Virtual Reality

Enterprise IoT
• The Business Case for
x IoT
• Smart Grids
• Smart Cities
• Smart Transportation
• The Smart Home
• M2M
• Authentication/Security
• Wiring the IoT
• The Internet of
x Everything
• Digital Transformation
x of Enterprise IT
• Agriculture
• Transportation
• Manufacturing
• Local & State
x Government
• Federal Government

IoT Developers | WebRTC Summit
• Eclipse Foundation
• Cloud Foundry
• Linux Containers
• Node-Red
• Open Source Hardware
• Ajax and the IoT
• Leveraging SOA
• Multi-Cloud IoT
• Evolving Standards
• WebSockets
• Security & Privacy
x Protocols
• GPS & Proximity
x Services
• Bluetooth/RFID/etc
• XMPP
• Nest Labs



The Top Keynotes, the Best Sessions, a Rock Star Faculty and the Most Qualified Delegates of ANY Internet of Things Event!


The future of computing lies in these things. As computing takes a much more active role in our lives it will at the same time become much more invisible. Internet of Things Expo will address the challenges in getting from where we are today to this future.
 
The high-energy event is a must-attend for senior technologists from CEOs on down – including CIOs, CTOs, directors of infrastructure, VPs of technology, IT directors and managers, network and storage managers, network engineers, enterprise architects, and communications and networking specialists.




@ThingsExpo Power Panel | The World's Many IoTs: Which Are the Most Important?
The Internet of Things is clearly many things: data collection and analytics, wearables, Smart Grids and Smart Cities, the Industrial Internet, and more. Cool platforms like Arduino, Raspberry Pi, Intel's Galileo and Edison, and a diverse world of sensors are making the IoT a great toy box for developers in all these areas. In this Power Panel at @ThingsExpo, panelists discussed what things are the most important, which will have the most profound effect on the world, and what should we expect to see over the next couple of years.
Benefits of Attending the Three-Day Technical Program
  LEARNexactly why Internet of Things is relevant today from an economic, business and technology standpoint.
  HEAR first-hand from industry experts the common issues and requirements for creating a platform for the Internet of Things.
  SEE what new tools and approaches the Internet of Things requires.
  DISCOVER how to drive a distributed approach to the Internet of Things, where applications move to the data.
  FIND OUThow the vast volumes of new data produced by the Internet of Things provides a valuable new source of business insight through advanced analytical techniques.
  MASTER how the ongoing development of smart cities, cars, and houses will enhance connectivity infrastructure.
Lunch Power Panel | Microservices & IoT- Moderated by Jason Bloomberg
In this Power Panel at @DevOpsSummit, moderated by Jason Bloomberg, president of Intellyx, panelists Roberto Medrano, Executive Vice President at Akana; Lori MacVittie, Evangelist for F5 Networks; and Troy Topnik, ActiveState's Technical Product Manager; and Otis Gospodnetic, founder of Sematext; peeled away the buzz and discuss the important architectural principles behind implementing IoT solutions for the enterprise. As remote IoT devices and sensors become increasingly intelligent, they become part of our distributed cloud environment, and we must architect and code accordingly. At the very least, you'll have no problem filling in your buzzword bingo cards.


In-Stream Processing | @CloudExpo @robinAKAroblimo #BigData #AI #BI #DX
We are still getting sales reports and other information we need to run our business long after the fact

Most of us have moved our web and e-commerce operations to the cloud, but we are still getting sales reports and other information we need to run our business long after the fact. We sell a hamburger on Tuesday, you might say, but don't know if we made money selling it until Friday. That's because we still rely on Batch processing, where we generate orders, reports, and other management-useful pieces of data when it's most convenient for the IT department to process them, rather than in real time. That was fine when horse-drawn wagons made our deliveries, but it is far too slow for today's world, where stock prices and other bits of information circle the world (literally) at the speed of light. It's time to move to In-Stream Processing. You can't - and shouldn't - keep putting it off.

[Figure 1, courtesy of the Grid Dynamics Blog]

This diagram may look complicated at first, but if you trace the lines it will soon become clear. The only thing that might throw some managers for a loop is the "Data Science" box at the bottom. This term may seem intimidating, but in real life it's just a method of deciding what data is most important to extract from the data stream as it flows by, and how it should best be displayed to the business people who are its end users. Some say, "Data science is just a sexed-up term for statistics." Perhaps. But title aside, displaying the dynamic information needed to run a business - and only that information - in real-time is what In-Stream Processing is all about.

Data Nuggets in the Stream
A retailer may do 100,000 POS credit card transactions per day. That's nice to know, and it's nice to have a dashboard-type display that shows them in real-time, and shows upward and downward trends minute by minute so that cashiers can be assigned with maximum efficiency. In-Stream Processing can do this, and with the right output devices, can even trigger a storewide PA announcement that automatically says, "All cashiers to the front, please." Opening more registers as soon as checkout volume starts to trend upwards makes customers happy. Even the announcement makes them happy, because it shows that management cares about them.

And buried in those 100,000 credit card transactions, there is one that is an attempt to use a stolen card. Obviously, that transaction will be declined. But then what? In the era of batch processing, an automated alert might get sent to management or loss control hours or days after the miscreant was gone. Perhaps the cashier called security, perhaps he didn't. After all, he had other customers in line, and when he told the person with the hot credit card that it was declined, the criminal probably bolted, and the cashier didn't give chase because it was probably against store policy - and he had other things to worry about, anyway.

Now let's fast-forward to tomorrow, when we have In-Stream Processing up and running. The second - literally the second - the hot credit card transaction takes place, both the store's loss control people and management at HQ learn about it. Store security can head for the appropriate POS before the bogus customer is informed that "his" credit card is no good. Indeed, notifying the cashier, and therefore the bogus customer, that the card has been declined can be automatically delayed until store security personnel acknowledge receipt of the alert, which gives them a far greater chance to detain the criminal than they had in the bad old days before they had In-Stream Processing as an anti-theft weapon.

Predicting production failures with In-Stream Processing
Now, let's turn our sights from the POS system to the conveyors in our packing and shipping facility. Whoops! It seems the drive motor for belt number five is suddenly running at 40 degrees C instead of its typical 30C - 32C. If we don't learn about this for a day or two, chances are we'll have burnt-out motor to replace, and we've had a packing line down for a number of hours.

With In-Stream Processing, we can see temperature sensor output changes instantly, and even have alerts set to go off if they move more than X degrees outside their normal operating range. We can do the same thing with strain gauges and many other measurement devices. We can even check the number of boxes getting packed on each line, with alerts set for changes beyond our expectations so that a manager can check that line to make sure everything is okay both with the workers and with their equipment.

The sooner a potential problem is detected, the better our chance of solving it before it becomes a major, costly problem. This applies to almost every aspect of our business, including a sudden spate of customer calls about problems with a particular product.

Keeping irritated customers from becoming angry customers
An exciting recent development in call center management, which couldn't have happened before big data and the cloud made immense data processing power and data storage available at low (and ever-dropping) prices is Emotion Analysis. It's no great trick for a human to tell whether a caller is happy, inquisitive, upset or downright angry. But this is a recent trick for computers, and is just now starting to become a practical business application.

The idea is that as soon as the system detects unhappiness beyond a preset level in a customer's voice, the call is automatically diverted to a supervisor or 2nd-level support person. In theory, a first-tier support person should be able to detect that unhappiness and call for help, but as you know from your own experience calling businesses for help, people in the first support tier may not be capable of recognizing unhappiness even if - it often seems - you bluntly say, "I'm unhappy. Please get your supervisor."

Think what a pleasant surprise it would be if a fresh voice came on the line and said, "This is Ron, in support management. It sounds like you're upset. I don't blame you. Let's see what we can do to solve your problem!" We're not using a chatbot in this scenario - yet. It may not be long until we have good enough AI (or at least pseudo-AI), and good enough voice recognition to replace human customer service workers, but right now nothing beats a knowledgeable employee with the authority to actually make things right for a customer who has gotten a defective product or poor service of some sort.

But In-Stream Processing, running Emotion Analysis, can certainly help us hook our unhappy customer up with the person who can make her problems go away - and do it right now, not a week from Sunday.

New uses for In-Stream Processing are cropping up all the time
Indeed, Emotion Analysis and dozens of other applications that are new or are still being developed all depend on In-Stream Analysis, because they all rely on real-time or near-real-time processing, not processing that happens someday. Program trading is a great example. If you're doing high-frequency stock buying and selling, making hundreds or thousands of trades per minute (or even per second in some cases), you must be able to process data and make decisions - or have a program that makes decisions - fast enough that the length of your connection to the stock exchange can make a noticeable difference in your profits -- which is pretty darn fast.

-------------------------

With a little thought, you can almost certainly think of at least a few ways In-Stream Processing can benefit your business. If not, throw the idea out to your fellow executives. The chances are 100%, more or less, that within a week they'll think of at least a few ways In-Stream Processing can increase your profits.

About Robin Miller
Robin “Roblimo” Miller is a long-time IT journalist known for his work on Slashdot, Linux.com, and other sites covering software so new that its edges haven’t even started to bleed. Nowadays, he writes for FOSSForce.com and works as an editorial consultant and blog editor for Grid Dynamics, “the engineering IT services company known for transformative, mission-critical cloud solutions for retail, finance and technology sectors.”

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Testimonials
This week I had the pleasure of delivering the opening keynote at Cloud Expo New York. It was amazing to be back in the great city of New York with thousands of cloud enthusiasts eager to learn about the next step on their journey to embracing a cloud-first worldl."
@SteveMar_Msft
 
How does Cloud Expo do it every year? Another INCREDIBLE show - our heads are spinning - so fun and informative."
@SOASoftwareInc
 
Thank you @ThingsExpo for such a great event. All of the people we met over the past three days makes us confident IoT has a bright future."
@Cnnct2me
 
One of the best conferences we have attended in a while. Great job, Cloud Expo team! Keep it going."

@Flexential


Who Should Attend?
Senior Technologists including CIOs, CTOs & Vps of Technology, Chief Systems Engineers, IT Directors and Managers, Network and Storage Managers, Enterprise Architects, Communications and Networking Specialists, Directors of Infrastructure.

Business Executives including CEOs, CMOs, & CIOs , Presidents & SVPs, Directors of Business Development , Directors of IT Operations, Product and Purchasing Managers, IT Managers.

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If you would like to participate, please provide us with details of your website/s and event/s or your organization and please include basic audience demographics as well as relevant metrics such as ave. page views per month.

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