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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.


Aggregated Data Dilemma | @BigDataExpo #BigData #Analytics #DataScience
Valuable performance and behavioral nuances can be buried in the aggregated data

Okay, I am weird (tell me something that I don’t know, say most of my friends).  For Christmas I wanted a Nike Apple Watch to go with my existing FitBit and Garmin fitness trackers (I look sort of like a cyborg in the photo below…which is always cool).

While I was intrigued by the ability to do all sorts of cool things on the Apple Watch (like take a phone call and talk into my wrist watch like Dick Tracy), the thing that most intrigued me was the ability to buy third-party apps that could yield detailed exercise and health data.  I was hoping that this detailed exercise and health data could help me understand what effect particular behaviors or activities (or lack of particular behaviors and activities) were having on my overall health.

Why is this important to me?  You can thank articles like “Unexpected Heart Attack Triggers” for my health and exercise anxiety.  The article highlighted several things that can trigger a heart attack including:

  • Lack of sleep (definitely an issue, especially when I’m traveling so much)
  • Migraine Headaches (how can you work in technology and not have headaches)
  • Cold Weather (need to find more clients in warmer weather)
  • Big, Heavy Meals (with the exception of Chipotle, right?)
  • Getting Out of Bed in the Morning (see, I knew that was a big danger!!)
  • Alcohol (just like to drink a beer now and then)
  • Coffee (I drink Chai Tea Lattes, that’s technically not coffee, and I know that I shouldn’t admit that I drink Chai Tea Lattes)

So there are many items on that above list that could trigger a heart attack, and I enjoy many of the things on that list (like sleeping and eating and the occasional beer).  Consequently, I thought I’d put my data science experience to work to monitor my exercise and diet behaviors and predict potential health outcomes.

Personal Fitness Analytics
I tested the downloadable data from each of the three devices. The Fitbit offered the easiest way to download my fitness data (and I have TONS of useful fitness and diet tracking suggestions if anyone at Fitbit, Garmin or Apple ever read this blog!!). The problem with the fitness data is that I can only get daily level data (see Table 1).

Table 1:  Daily Fitness Tracking Data

I can add more external data to the aggregated fitness data (e.g., days of the week, days when I travel, how much I travel on those travel days) to come up with some simple plots.

For example, Figure 2 shows a visual correlation between the calories that I burn per step and the days that I travel.  My assumption is that I burn more calories per step when I am doing something that requires more exertion (like running or climbing steps), so it makes sense that on days when I am traveling, I have less opportunities for highly exertive activities.

Figure 2:  How Many Calories I Burn Per Step When Traveling

While this information is “interesting,” unfortunately, data at the aggregated daily level is not actionable.  If I had more detailed or granular fitness data, I’d like to chart what happens to my heart rate (and related stress levels):

  • During an airplane flight
  • When racing through an airport to catch a connecting flight
  • Waking up very early in the morning while traveling
  • Immediately after eating a large meal
  • While I’m doing my taxes (I hate doing my taxes)

The problem is that the data provided by my fitness band is aggregated to a level that is not actionable.  If I had my fitness data at 5 or 10-minute intervals, then I could more easily spot unusual health outcomes and determine (and eventually predict?) what behaviors (e.g., flying in an airplane, eating large meals, heavy exercise exertion, waking up extremely early) might be causing health concerns.

Power of Granular Data
Big Data and data science are all about granular data because valuable performance and behavioral nuances can be buried in the aggregated data.  For example, the chart in Figure 3 shows how additional performance nuances are being uncovered as we transition from a 5-minute to a 1-minute and finally to a 5-second interval in the capture of the performance data.

Figure 3:  Performance Nuances Uncovered in Granular Data

As the data gets more granular, the behavioral and performance nuances buried in the data start to surface. Data at the 5 minute and 1 minute intervals in Figure 3 tell you very little. Aggregated data is the anti-data science. Data at the 5-second interval highlights some potential performance concerns.  In this example, data at the 5-second interval starts to become actionable.

For example, I might notice too sedentary of a heart rate whenever I sit too long on a cross-country flight or my stress level jumping whenever I get another “flight delayed” message while trying to catch a connecting flight. I might then learn to perform some in-seat exercises and walking around during those long flights, or practicing controlled breathing and some simple yoga when enduring yet another flight delay (SFO airport does have a yoga room, and now I know why).

Preparing for an IoT World of Granular Data
Understanding the challenges of capturing and analyzing real-time granular machine and device-generated data will become even more critical as we move into the Internet of Things (IOT), where hundreds of sensors are kicking off tens, hundreds or even thousands of data points per minute.  This will force two specific challenges upon those of us coming from the more traditional human-generated big data world:

  • Real-time data capture and compression
  • Real-time analytics at the edge

For my fitness focus, I might need to expand my Personal Fitness Analysis to capture and analyze more of this detailed data in (near) real-time so that I can become aware of behaviors that are hurting or improving my health and fitness.  Ultimately, my goal is to change my behaviors, but I need to understand (and quantify?) what behaviors lead to desirable health and fitness outcomes (e.g., improved blood pressure, lower weight, less stress).

The post Aggregated Data Dilemma appeared first on InFocus Blog | Dell EMC Services.

Read the original blog entry...

About William Schmarzo
Bill Schmarzo, author of “Big Data: Understanding How Data Powers Big Business” and “Big Data MBA: Driving Business Strategies with Data Science”, is responsible for setting strategy and defining the Big Data service offerings for Hitachi Vantara as CTO, IoT and Analytics.

Previously, as a CTO within Dell EMC’s 2,000+ person consulting organization, he works with organizations to identify where and how to start their big data journeys. He’s written white papers, is an avid blogger and is a frequent speaker on the use of Big Data and data science to power an organization’s key business initiatives. He is a University of San Francisco School of Management (SOM) Executive Fellow where he teaches the “Big Data MBA” course. Bill also just completed a research paper on “Determining The Economic Value of Data”. Onalytica recently ranked Bill as #4 Big Data Influencer worldwide.

Bill has over three decades of experience in data warehousing, BI and analytics. Bill authored the Vision Workshop methodology that links an organization’s strategic business initiatives with their supporting data and analytic requirements. Bill serves on the City of San Jose’s Technology Innovation Board, and on the faculties of The Data Warehouse Institute and Strata.

Previously, Bill was vice president of Analytics at Yahoo where he was responsible for the development of Yahoo’s Advertiser and Website analytics products, including the delivery of “actionable insights” through a holistic user experience. Before that, Bill oversaw the Analytic Applications business unit at Business Objects, including the development, marketing and sales of their industry-defining analytic applications.

Bill holds a Masters Business Administration from University of Iowa and a Bachelor of Science degree in Mathematics, Computer Science and Business Administration from Coe College.

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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, moderated by Conference Chair Roger Strukhoff, panelists discussed what things are the most important, which will have the most profound e...
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As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...
Business professionals no longer wonder if they'll migrate to the cloud; it's now a matter of when. The cloud environment has proved to be a major force in transitioning to an agile business model that enables quick decisions and fast implementation that solidify customer relationships. And when the cloud is combined with the power of cognitive computing, it drives innovation and transformation that achieves astounding competitive advantage.
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If a machine can invent, does this mean the end of the patent system as we know it? The patent system, both in the US and Europe, allows companies to protect their inventions and helps foster innovation. However, Artificial Intelligence (AI) could be set to disrupt the patent system as we know it. This talk will examine how AI may change the patent landscape in the years to come. Furthermore, ways in which companies can best protect their AI related inventions will be examined from both a US and...



2016 | 2015 | 2014 | 2013 | 2012
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.

Join Us as a Media Partner - Together We Can Enable the Digital Transformation!
SYS-CON Media has a flourishing Media Partner program in which mutually beneficial promotion and benefits are arranged between our own leading Enterprise IT portals and events and those of our partners.

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.

To get involved, email events@sys-con.com.

@ThingsExpo Blogs
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, moderated by Conference Chair Roger Strukhoff, 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.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases to demonstrate how DLM is can rescue devices in distress and equip companies with the tools necessa...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the massive amount of information associated with these devices. Ed presented sought out sessions at Cl...
Digital Transformation Blogs
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CloudEXPO.TV
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