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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.


Can AI Write its Own Applications? | @ExpoDX #AI #ArtificialIntelligence #DigitalTransformation
We want to be able to express our intent for the application and let the software take it from there.

Early last year, a Microsoft research project dubbed DeepCoder announced that it had made progress creating AI that could write its own programs.

Such a feat has long captured the imagination of technology optimists and pessimists alike, who might consider software that creates its own software as the next paradigm in technology – or perhaps the direct route to building the evil Skynet.

As with most machine learning or deep learning approaches that make up the bulk of today’s AI, DeepCoder was creating code that it based on large numbers of examples of existing code that researchers used to train the system.

The result: software that ended up assembling bits of human-created programs, a feat Wired Magazine referred to as ‘looting other software.’

And yet, in spite of DeepCoder’s PR faux pas, the idea of software smart enough to create its own applications remains an area of active research, as well as an exciting prospect for the digital world at large.

The Notion of ‘Intent-Based Programming’

What do we really want when we say we want software smart enough to write applications for us? The answer: we want to be able to express our intent for the application and let the software take it from there.

The phrase ‘intent-based’ comes from the emerging product category ‘intent-based networking,’ an AI-based approach to configuring networks that divines the business intent of the administrator.

An intent-based networking system (IBNS) enables admins to define a high-level business policy. The IBNS then verifies that it can execute the policy, manipulates network resources to create the desired state, and monitors the state of the network to ensure that it is enforcing all policies on an ongoing basis, taking corrective action when necessary.

Intent-based programming, by extension, takes the concept of intent-based networking and extends it to any type of application a user might desire.

For example, you could ask Alexa to build you an application that, say, kept track of your album collection. It would code it for you automatically and present the finished, working application to you, ready for use.

What Might Be Going on Under the Covers

In the simple Alexa example above, the obvious approach for the AI to take would be to find an application similar to the one the user requested, and then make tweaks to it as necessary, or perhaps assemble the application out of pre-built components.

In other words, Alexa would be following a similar technique as DeepCoder, borrowing code from other places and using those bits and pieces as templates to meet a current need.

But assembling templates or other human-written code isn’t what we really mean by AI-written software, is it? What we’re really looking for is the ability to create applications that are truly novel, and thus most of their inner workings don’t already exist in some other form.

In other words, can AI be creative when it creates software? Can it create truly novel application behavior, behavior that no human has coded before?

5GLs to the Rescue

Using software that can take the intent of the user and generate the desired application has been a wish-list item for computer science researchers for decades. In fact, the Fifth Generation Language (5GL) movement from the 1980s sought to “make the computer solve a given problem without the programmer,” according to Wikipedia.

The idea with 5GLs was for users to express their intent in terms of constraints, which the software would then translate into working applications. This idea appeared promising but turned out to have limited applicability.

The sorts of problems that specifying constraints alone could solve turned out to be a rather small set: mostly mathematical optimization tasks that would seek a mathematical solution to a set of mathematical expressions that represented the constraints.

The challenge facing the greater goal of creating arbitrary applications was that 5GLs weren’t able to express algorithms – the sequence of steps programmers specify when they write code by hand.

As a result, 5GLs didn’t really go anywhere, although they did lead to an explosion of declarative, domain-specific languages like SQL and HTML – languages that separate the representation of the intent of users from the underlying software.

But make no mistake: expressing your intent in a declarative language is very different from software that can create its own applications. Writing SELECT * FROM ALBUMLIST is a far cry from ‘Alexa, build me an app that keeps track of my albums.’

The missing piece to the 5GL puzzle, of course, is AI.

A Question of Algorithms

In the 1980s we had no way for software to create its own algorithms – but with today’s AI, perhaps we do. The simple optimization tasks that 5GLs could handle have grown into full-fledged automated optimization for computer algebra systems, which would qualify as computer-generated algorithms. However, these are still not general purpose.

There are also research projects like Google AutoML, which creates machine learning-generated neural network architectures. You can think of a neural network architecture as a type of application, albeit one that uses AI. So in this case, we have AI that is smart enough to create AI-based applications.

AutoML and similar projects are quite promising to be sure. However, not only have we not moved much closer to Skynet, but such efforts also fall well short of the intent-based programming goal I described earlier.

The Context for Human Intent

Fundamentally, AutoML and intent-based programming are going in different directions, because they have different contexts for how users would express their intent. The Alexa example above is unequivocally human-centric, as it leverages Alexa’s natural language processing and other contextual skills to provide a consumer-oriented user experience.

In the case of AutoML (or any machine learning or deep learning effort, for that matter), engineers must express success conditions (i.e., their intent) in a formal way.

If you want to teach AI to recognize cat photos, for example, this formal success condition is trivial: of a data set containing a million images, these 100,000 have cats in them. Either the software gets it right or it doesn’t, and it learns from every attempt.

What, then, is the formal success condition for ‘the album tracking application I was looking for’? Answering such a question in the general case is still beyond our abilities.

Today’s State of the Art

Today’s AI cannot create an algorithm that satisfies a human’s intent in all but the simplest cases. What we do have is AI that can divine insights from patterns in large data sets.

If we can boil down algorithms into such data sets, then we can make some headway. For example, if an AI-based application has access to a vast number of human-created workflows, then it can make a pretty good guess as to the next step in a workflow you might be working on at the moment.

In other words, we now have autocomplete for algorithms – what we call ‘next best action.’ We may still have to give our software some idea of how we want an application to behave, but AI can assist us in figuring out the steps that make it work.

The Intellyx Take

AI that can provide suggestions for the next best action but cannot build an entire algorithm from scratch qualifies more as Augmented Intelligence than Artificial Intelligence.

When we are looking for software that can satisfy human intent, as opposed to automatically solving a problem on its own, we’re actually looking for this sort of collaboration. After all, we still want a hand in building the application – we just want the process to be dead simple.

It’s no surprise, therefore, that the burgeoning low-code/no-code platform market is rapidly innovating in this direction.

Today’s low-code/no-code platforms support sophisticated, domain-specific declarative languages that give people the ability to express their intent in English-like expressions (or other human languages of choice).

They also have the ability to represent apps and app components as templates, affording users the ability to assemble pieces of applications with ‘drag and drop’ simplicity.

And now, many low-code/no-code platform vendors are adding AI to the mix, augmenting the abilities of application creators to specify the algorithms they intend their applications to follow.

Someday, perhaps, we’ll simply pick up our mic and tell such platforms what we want and they’ll build it automatically. We’re not quite there yet, but we’re closer than we’ve ever been with today’s low-code/no-code platforms – and innovation is proceeding at a blistering pace. It won’t be long now.

Copyright © Intellyx LLC. Intellyx publishes the Agile Digital Transformation Roadmap poster, advises companies on their digital transformation initiatives, and helps vendors communicate their agility stories. As of the time of writing, Microsoft is an Intellyx customer. None of the other organizations mentioned in this article are Intellyx customers. Image credit: Gerd Leonhard.

 

About Jason Bloomberg

Jason Bloomberg is a leading IT industry analyst, Forbes contributor, keynote speaker, and globally recognized expert on multiple disruptive trends in enterprise technology and digital transformation. He is ranked #5 on Onalytica’s list of top Digital Transformation influencers for 2018 and #15 on Jax’s list of top DevOps influencers for 2017, the only person to appear on both lists.

As founder and president of Agile Digital Transformation analyst firm Intellyx, he advises, writes, and speaks on a diverse set of topics, including digital transformation, artificial intelligence, cloud computing, devops, big data/analytics, cybersecurity, blockchain/bitcoin/cryptocurrency, no-code/low-code platforms and tools, organizational transformation, internet of things, enterprise architecture, SD-WAN/SDX, mainframes, hybrid IT, and legacy transformation, among other topics.

Mr. Bloomberg’s articles in Forbes are often viewed by more than 100,000 readers. During his career, he has published over 1,200 articles (over 200 for Forbes alone), spoken at over 400 conferences and webinars, and he has been quoted in the press and blogosphere over 2,000 times.

Mr. Bloomberg is the author or coauthor of four books: The Agile Architecture Revolution (Wiley, 2013), Service Orient or Be Doomed! How Service Orientation Will Change Your Business (Wiley, 2006), XML and Web Services Unleashed (SAMS Publishing, 2002), and Web Page Scripting Techniques (Hayden Books, 1996). His next book, Agile Digital Transformation, is due within the next year.

At SOA-focused industry analyst firm ZapThink from 2001 to 2013, Mr. Bloomberg created and delivered the Licensed ZapThink Architect (LZA) Service-Oriented Architecture (SOA) course and associated credential, certifying over 1,700 professionals worldwide. He is one of the original Managing Partners of ZapThink LLC, which was acquired by Dovel Technologies in 2011.

Prior to ZapThink, Mr. Bloomberg built a diverse background in eBusiness technology management and industry analysis, including serving as a senior analyst in IDC’s eBusiness Advisory group, as well as holding eBusiness management positions at USWeb/CKS (later marchFIRST) and WaveBend Solutions (now Hitachi Consulting), and several software and web development positions.



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IoT is rapidly becoming mainstream as more and more investments are made into the platforms and technology. As this movement continues to expand and gain momentum it creates a massive wall of noise that can be difficult to sift through. Unfortunately, this inevitably makes IoT less approachable for people to get started with and can hamper efforts to integrate this key technology into your own portfolio. There are so many connected products already in place today with many hundreds more on the h...
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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.

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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Concerns about security, downtime and latency, budgets, and general unfamiliarity with cloud technologies continue to create hesitation for many organizations that truly need to be developing a cloud strategy. Hybrid cloud solutions are helping to elevate those concerns by enabling the combination or orchestration of two or more platforms, including on-premise infrastructure, private clouds and/or third-party, public cloud services. This gives organizations more comfort to begin their digital transformation without a complete overhaul of their existing infrastructure - serving as a sort of "mi...
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
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Every organization is facing their own Digital Transformation as they attempt to stay ahead of the competition, or worse, just keep up. Each new opportunity, whether embracing machine learning, IoT, or a cloud migration, seems to bring new development, deployment, and management models. The results are more diverse and federated computing models than any time in our history.
On-premise or off, you have powerful tools available to maximize the value of your infrastructure and you demand more visibility and operational control. Fortunately, data center management tools keep a vigil on memory contestation, power, thermal consumption, server health, and utilization, allowing better control no matter your cloud's shape. In this session, learn how Intel software tools enable real-time monitoring and precise management to lower operational costs and optimize infrastructure for today even as you're forecasting for tomorrow.
Isomorphic Software is the global leader in high-end, web-based business applications. We develop, market, and support the SmartClient & Smart GWT HTML5/Ajax platform, combining the productivity and performance of traditional desktop software with the simplicity and reach of the open web. With staff in 10 timezones, Isomorphic provides a global network of services related to our technology, with offerings ranging from turnkey application development to SLA-backed enterprise support. Leading global enterprises use Isomorphic technology to reduce costs and improve productivity, developing ...
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