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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.


AWS Broke the Internet Again or, Better, a Typo | @CloudExpo #AI #ML #DL
An AI-defined infrastructure can help to avoid service disruptions

Amazon Web Services (AWS) broke the Internet again or better "a typo". On February 28, 2017, an Amazon S3 service disruption in AWS' oldest region US-EAST-1 shuts down several major websites and services like Slack, Trello, Quora, Business Insider, Coursera and Time Inc. Other users were reporting that they were also unable to control devices which were connected via the Internet of Things since IFTTT was also down. Those kinds of disruptions are becoming more and more business critical for today's digital economy. To prevent these situations, cloud users should always consider the shared responsibility model in the public cloud. However, there are also ways where Artificial Intelligence (AI) can help. This article describes that an AI-defined Infrastructure respectively an AI-powered IT management system can help to avoid service disruptions of public cloud providers.

Amazon S3 Service Disruption - What has happened
After every service disruption AWS writes a summary of what was going on during an incident. This is what happened on the morning of February 28.

"The Amazon Simple Storage Service (S3) team was debugging an issue causing the S3 billing system to progress more slowly than expected. At 9:37AM PST, an authorized S3 team member using an established playbook executed a command which was intended to remove a small number of servers for one of the S3 subsystems that is used by the S3 billing process. Unfortunately, one of the inputs to the command was entered incorrectly and a larger set of servers was removed than intended. The servers that were inadvertently removed supported two other S3 subsystems.  One of these subsystems, the index subsystem, manages the metadata and location information of all S3 objects in the region. This subsystem is necessary to serve all GET, LIST, PUT, and DELETE requests. The second subsystem, the placement subsystem, manages allocation of new storage and requires the index subsystem to be functioning properly to correctly operate. The placement subsystem is used during PUT requests to allocate storage for new objects. Removing a significant portion of the capacity caused each of these systems to require a full restart. While these subsystems were being restarted, S3 was unable to service requests. Other AWS services in the US-EAST-1 Region that rely on S3 for storage, including the S3 console, Amazon Elastic Compute Cloud (EC2) new instance launches, Amazon Elastic Block Store (EBS) volumes (when data was needed from a S3 snapshot), and AWS Lambda were also impacted while the S3 APIs were unavailable."

Read more under "Summary of the Amazon S3 Service Disruption in the Northern Virginia (US-EAST-1) Region".

Bottom line, a typo crashed the AWS powered Internet! AWS outages already have a long history and the more AWS customers running their web infrastructure on the cloud giant, the more issues end customers will experience in the future. According to SimilarTech only Amazon S3 is already used by 152,123 websites and 124,577 unique domains.

However, following the philosophy of "Everything fails all the time (Werner Vogels, CTO Amazon.com)" means if you are using AWS you must "Design for Failure".  Something cloud role model and video on demand provider Netflix is doing in perfection. In doing so, Netflix has developed its Simian Army an open source toolset everyone can use to run a cloud infrastructure on AWS high-available.

Netflix "simply" uses the two levels of redundancy AWS offers. Multiple regions and multiple availability zones (AZ). Multiple regions are the masterclass of using AWS, very complex and sophisticated since you must build and manage entire separated infrastructure environments within AWS' worldwide distributed cloud infrastructure. Multiple AZs are the preferred and "easiest" way for high availability (HA) on AWS. In this case, the infrastructure is built within more than one data center (AZ). In doing so, a single region HA architecture is deployed in at least two or more AZs - a load balancer in front of it is controlling the data traffic.

However, even if "typos" shouldn't happen the recent accident shows, that human error is still the biggest issue running IT systems. In addition, you can blame AWS only to a certain extend since the public cloud is about shared responsibility.

Shared Responsibility in the Public Cloud
An important public cloud detail is the self-service. Depending on its DNA the providers are only taking responsibility for specific areas. The customer is responsible for the rest. In the public cloud, it is about sharing responsibilities - this model is called Shared Responsibility. The provider and its customers divide the field of duties among themselves. In doing so, the customer's self-responsibility plays a major role. In the context of IaaS utilization, the provider is responsible for the operations and security of the physical environment. He is taking care of:

  • Set up and maintenance of the entire data center infrastructure.
  • Deployment of compute power, storage, network and managed services (like databases) and other micro services.
  • Provisioning the virtualization layer customers are using to demand virtual resources at any time.
  • Deployment of services and tools customers can use to manage their areas of responsibility.

The customer is responsible for the operations and security of the logical environment. This includes:

  • Set up of the virtual infrastructure.
  • Installation of operating systems.
  • Configuration of networks and firewall settings.
  • Operations of own applications and self-developed (micro) services.

Thus, the customer is responsible for the operations and security of his own infrastructure environment and the systems, applications, services, as well as stored data on top of it. However, providers like Amazon Web Services or Microsoft Azure provide comprehensive tools and services customers can use e.g. to encrypt their data as well as ensure identity and access controls. In addition, enablement services (micro services) exist that customers can adopt to develop own applications more quickly and easily.

In doing so, the customer is all alone in its area of responsibility and thus must take self-responsibility. However, this part of the shared responsibility can be done by an AI-defined IT management system respectively an AI-defined Infrastructure.

An AI-defined Infrastructure can help to avoid Service Disruptions
An AI-defined Infrastructure can help to avoid service disruptions in the public cloud. However, the basis of this kind of infrastructure is a General AI that combines three major human abilities that enable enterprises to tackle IT and business process challenges.

  • Understanding: By creating a semantic data map the General AI understands the world of the company in which its IT and business exists.
  • Learning: By creating Knowledge Items the General AI learns best practices and reasoning from experts. Knowledge is taught in atomic pieces of information (Knowledge Items) that represent separate steps of a process.
  • Solving: With machine reasoning problems are solved in ambiguous and changing environments. The General AI dynamically reacts to the ever-changing context, selecting the best course of action. Based on machine learning the results are optimized through experiments.

To put this into the context of an AWS service disruption:

  • Understanding: The General AI creates a semantic map of the AWS environment as part of the world in which the company exists.
  • Learning: IT experts create Knowledge Items while they are configuring and working with AWS from what the General AI learns best practices. Thus, the experts teach the General AI contextual knowledge that includes what, when, where and why something needs to be done - for example when a specific AWS service is not responding.
  • Solving: The General AI dynamically reacts to incidents based on the learned knowledge. Thus, the AI (probably) knows what to do at this very moment - even if no high availability setup was considered from the beginning.

Frankly speaking, everything described above is no magic. Like every new born organism an AI-defined Infrastructure needs to be trained but afterwards can work autonomously as well as can detect anomalies as well as service disruptions in the public cloud and solve them. Therefore, you need the knowledge of experts who have a deep understanding of AWS and how the cloud works in general. These experts need to teach the General AI with their contextual knowledge that includes not only what, when and where but also why. They have to teach the AI with atomic pieces (Knowledge Items, KI) that can be indexed and prioritized by the AI. Context and indexing enable this KIs to be combined to form many solutions.

KIs created by various IT experts create pooled expertise that is further optimized by machine selection of best knowledge combinations for problem resolution. This type of collaborative learning improves process time task by task. However, the number of possible permutations grows exponentially with added knowledge. Connected to a knowledge core, the General AI continuously optimizes performance by eliminating unnecessary steps and even changing routes based on other contextual learning. And the bigger the semantic graph and knowledge core gets, the better and more dynamically the infrastructure can act in terms of service disruptions.

On a final note, do not underestimate the "power of we"! Our research at Arago revealed that with an overlap of 33 percent in basic knowledge, this knowledge can and is used outside a specific organizational environment, i.e. across different client environments. The reuse of knowledge within a client is up to 80 percent. Thus, exchanging basic knowledge within a community becomes imperative from an efficiency perspective and improve the abilities of the General AI.

About Rene Buest
Rene Buest is Director of Market Research & Technology Evangelism at Arago. Prior to that he was Senior Analyst and Cloud Practice Lead at Crisp Research, Principal Analyst at New Age Disruption and member of the worldwide Gigaom Research Analyst Network. At this time he was considered a top cloud computing analyst in Germany and one of the worldwide top analysts in this area. In addition, he was one of the world’s top cloud computing influencers and belongs to the top 100 cloud computing experts on Twitter and Google+. Since the mid-90s he is focused on the strategic use of information technology in businesses and the IT impact on our society as well as disruptive technologies.

Rene Buest is the author of numerous professional technology articles. He regularly writes for well-known IT publications like Computerwoche, CIO Magazin, LANline as well as Silicon.de and is cited in German and international media – including New York Times, Forbes Magazin, Handelsblatt, Frankfurter Allgemeine Zeitung, Wirtschaftswoche, Computerwoche, CIO, Manager Magazin and Harvard Business Manager. Furthermore he is speaker and participant of experts rounds. He is founder of CloudUser.de and writes about cloud computing, IT infrastructure, technologies, management and strategies. He holds a diploma in computer engineering from the Hochschule Bremen (Dipl.-Informatiker (FH)) as well as a M.Sc. in IT-Management and Information Systems from the FHDW Paderborn.

Presentation Slides
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The best way to leverage your Cloud Expo presence as a sponsor and exhibitor is to plan your news announcements around our events. The press covering Cloud Expo and @ThingsExpo will have access to these releases and will amplify your news announcements. More than two dozen Cloud companies either set deals at our shows or have announced their mergers and acquisitions at Cloud Expo. Product announcements during our show provide your company with the most reach through our targeted audiences.
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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
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Digital Transformation Blogs
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