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AI-Defined Infrastructure | @CloudExpo #AI #DX #IoT #ArtificialIntelligence
The Foundation for New Generation Business Models and Applications

In 2016, artificial intelligence (AI) reached its climax. Research and advisory firm Tractica predicted that the annual worldwide AI revenue will grow from $643.7 million in 2016 to $38.8 billion by 2025. The revenue for enterprise AI applications will increase from $358 million in 2016 to $31.2 billion by 2025, representing a compound annual growth rate (CAGR) of 64.3%. Thus, IT and business decision makers must face up to the potentials of AI already today. For each kind of organization this leads to the question, which type of technologies or infrastructure they can leverage to operate an AI-ready enterprise stack.

What Is Artificial Intelligence (AI)?
In 1955, Prof. John McCarthy defined AI as "The goal of AI is to develop machines that behave as though they were intelligent." Discussing "intelligent" in this context, we are talking about a vigorous system. A system that must be considered as a raw IQ container, a system that needs unstructured input to train its senses, a system that needs a semantic understanding of the world to be able to take further actions. A system that needs a detailed map of its context to act independently and transfer experience from one context to another, a system that is equipped with all the necessities to develop, foster and maintain knowledge.

It is our responsibility to share our knowledge with these machines as we would share it with our children, spouses or colleagues. This is the only way to transform these machines, made of hard- and software, into a status we would describe as "smart", helping them to become more intelligent by learning on a daily basis, building the groundwork to create a self-learning system. In doing so, research distinguishes three types of AIs:

  • Strong AI: A strong AI (or superintelligence) is a self-aware machine with ideal thoughts, feelings, consciousness and all the necessary links. For all those who are already looking forward to a reality á la "Her" or "Ex_Machina" still need to wait. Large neural networks have millions of neurons. Brains have billions of neurons. Neural networks only simulate the electrical system in a brain, the brain also has a chemical, potentially a quantum mechanics based system. The layer based modelling of deep learning networks is to simplify training, the brain has no such restrictions. Neural networks are about as far away from a brain that thinks as a snail is from a supersonic jet. Thus, a strong AI doesn't exist yet and is very far away.
  • Narrow AI: Most business cases in AI focus on solving particular very pointed challenges. These narrow AIs are great at optimizing specific tasks like recommending songs on Pandora ormanaging analyses to improve tomato growth in a greenhouse.
  • General AI: A general AI can handle tasks from different areas and origins with the ability to shorten training time from one area to the next by applying experience gathered in one area and applied in a different area. This knowledge transfer is only possible if there is a semantic connection between these areas. The stronger and denser this connection, the faster and easier knowledge transition is achieved. In comparison to a narrow AI, a general AI has all the necessary knowledge and abilities to improve not only tomato growth in a greenhouse but cucumber, eggplant, peppers, radishes and kohlrabi as well. Thus, a general AI is a system, that can handle more than just one specific task.

However, one thing is obvious. Without technologies, such as cloud computing, AI wouldn't have achieved its boom particularly today. Both cloud services and progress in machine intelligence have made it easier for organizations to apply AI-based functionalities to interact closer with its customers. More and more companies like Airbnb, Netflix, Uber or Expedia are already using cloud-based systems to process AI relevant tasks that draw on an intensive utilization of CPU/ GPU as well as services for comprehensive computing and analysis tasks.

In the context of their AI strategy, companies should evaluate AI services from different cloud providers. Another part of their strategy should contain an AI-defined infrastructure. The foundation for this kind of infrastructure is a general AI that unifies three typical human characteristics, which empower an organization to autonomously operate its IT and business processes.

  • Learning: The general AI receives best practices and reasoning from experts based on ongoing learning units. For this purpose, the knowledge is taught in granular pieces that consist of discrete parts of a process. In the context of a greenhouse, the experts teach the AI any process step by step, e.g., how to grow cucumbers, eggplants or paprika. In doing so, they share their context-based knowledge with the AI that includes among others "what has to be done" and "why this has to be done".
  • Understanding: By creating a semantic data graph the general AI gets an understanding of the world in which the organization is acting with its IT and business objectives. Thus, the semantic data graph of a greenhouse would consolidate different contexts (e.g., information, characteristics and specifics of the greenhouse, cucumber culture, eggplant culture and paprika culture) and enrich (compare learning) it on an ongoing basis. The IT of an organization plays an important role, since all data are running together here.
  • Solving: With the concept of 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 the trained knowledge (learning) and the creation of the semantic graph (understanding) the general AI can grow more than one single type of vegetable in a greenhouse. This is ensured with the growing amount of trained knowledge pieces that lead to a knowledge pool 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. Thus, the bigger the semantic data graph gets, the better and more dynamically further types of vegetables can be cultured.

What Requirements Concerning Infrastructure Environments Does an AI Have?
Right now, AI is the technology that has the potential not only to improve existing infrastructure like cloud environments but expedite a new generation of infrastructure technologies as well. As an important technology trend, AI has influenced a new generation of development frameworks as well as a new generation of hardware technologies to run scalable AI applications.

Mobile and IoT applications have only minor requirements concerning runtime environments to an infrastructure. However, it is critical to provide appropriate services to build a backend for those types of applications. By contrast, AI applications do not only expect sophisticated backend services but also optimized runtime environments that are adapted for GPU intensive requirements of AI solutions. AI applications challenge the infrastructure with regards to the simultaneous task processing in very short time cycles. For accelerating deep learning applications in particular GPU processors are employed. GPU optimized applications distribute CPU-intensive areas of an application to the GPU and let the ordinary computations handle by the CPU. In doing so, the execution of the entire application is accelerated. The advantage of a GPU towards a CPU is reflected in the respective architectures. A CPU is exclusively designed for serial data processing and only has a few cores. A GPU, however, is composed of a parallel architecture with a vast number of small cores that process the tasks simultaneously. According to NVIDIA, the application throughput of a GPU is 10 to 100 times higher in comparison to a CPU. Thus, an infrastructure should be able to provide a deep learning framework such as TensorFlow and Torch over hundreds or thousands of nodes on a demand basis that immediately are deployed with the optimal CPU configuration.

The following list (in a partial state) deals with the requirements for infrastructure to support AI applications:

  • Support of current frameworks: Infrastructure must be able to support AI application based on AI frameworks like TensorFlow, Caffe, Theano and Torch the same way as web applications and backend processes. Thus, an infrastructure should not exclusively focus on AI frameworks but design the portfolio in the interests of a developer.
  • GPU optimized environment: An infrastructure has to make sure that every AI process can be processed. Thus, it must support GPU environments in order to provide fast computational power. Microsoft was the frontrunner in this area by offering its N-series GPU instances.
  • Management environment and tools: One of the biggest challenges of current infrastructure environments is the drawback of management tools for running AI frameworks. Here, in particular, the direct interaction between AI frameworks and the infrastructure is necessary to ensure the best balance and thus deliver the best performance.
  • AI-integrated infrastructure services: Infrastructure provider must and will not only support AI functionalities but integrate AI as a central part of their infrastructure and service stacks. This type of an AI-defined Infrastructure won't only increase the intelligence of cloud services and applications but also simplify the setup and operations of the infrastructure by the customer.
  • Machine Reasoning: Infrastructure providers who provide their customers with technologies for machine reasoning are helping them to solve problems in ambiguous and changing environments. Based on machine reasoning the AI environment is able to dynamically react to the ever-changing context, selecting the best course of action. This is ensured by selecting the best knowledge combinations for problem resolution. In the end, the results are optimized with machine learning algorithms.

Infrastructure Environments and Technologies for AI
In the course of years, cloud platform provider made enormous investments into AI functionalities and services. The leading public cloud provider in particular Amazon, Microsoft and Google are in the lead. But also several PaaS providers extended their offerings with AI services. The current AI technology landscape consists of the following three main categories:

  • Cloud machine learning (ML) platforms:Technologies like AWS Machine Learning or Google Machine Learning make it possible to use machine learning models based on proprietary technologies. Because even if Google Cloud ML sets on TensorFlow, most of the other cloud based ML services do not allow to execute AI applications that e.g. have been written in Theano, Torch, TensorFlow or Caffe.
  • AI cloud services:Technologies like Microsoft Cognitive Services, Google Cloud Vision or Natural Language APIs enable the use of complex AI abilities based on a simple API call. This allows organizations to develop applications with AI capabilities without investing into and owning the necessary AI infrastructure.
  • Technologies for private and public cloud environments: Technologies like HIRO are designed to run on top of public cloud environments like Amazon Web Services as well as private clouds such as OpenStack or VMware. They enable organizations to develop and operate transcontextual AI-based business models based on a general AI.

Further AI relevant categories and vendors are:

  • Machine Learning: Rapidminer, Context Relevant, H20, Datarpm, LiftIngniter, Spark Beyond, Yhat, Wise.io, Sense, GraphLab, Alpine, Nutonian
  • Conversational AI/ Bots: Mindfield, SemanticMachines, Maluuba, Mobvoi, KITT AI, Clara, Automat, Wit.ai, Cortical.io, Idibon, Luminoso
  • Vision: Clarifai, Chronocam, Orbital Insight, Pilot.ai, Captricity, Crokstyle
  • Auto: NuTonomy, Drive.ai, AI Motive, Nauto, Nexar, Zoox
  • Robotics: Ubtech, Anki, Rokid, Dispatch
  • Cybersecurity: Cyclance, Sift Science, Spark Cognition, Deep Instict, Shift Technology, Dark Trace
  • BI & Analytics: DataRobot, Trifaca, Tamr, Esigopt, Paxata, Dataminr, CrowdFlower, Logz.io
  • Ad, Sales and CRM: TalkIQ, Deepgram, Persado, Appier, Chors, InsideSales.com, Drawbridge, DigitalGenius, Resci
  • Healthcare: Freenome, Cloud Medx, Zebra, Enlitic, Two AR, iCarbonX, Atomwise, Deep Genomics, Babylon, Lunit
  • Text Analysis: Textio, Fido.ai, Narrative
  • IoT: Nanit, Konux, Verdigris, Sight Machine
  • Commerce: Bloomreach, Mode.ai
  • Fintech & Insurance: Cape Analytics, Kensho, Numerai, Alphasense, Kasisto

At the end of the day, the progressive developments of AI technologies are going to influence infrastructure environments and let them shift from a supporting mode towards a model where AI applications get the equal support like today's web applications and services.

The Future Is an AI-enabled Enterprise
An AI-enabled Infrastructure is an essential part of today's enterprise stack and builds the foundation for the AI-enabled enterprise. Because one thing is obvious. There are multiple challenges established companies are facing nowadays. Like the often-quoted war for talent or the inability of many large corporates to change effectively. But there is still an underestimated threat called competition - not from their own peers - but from high-tech companies like Amazon, Google, Facebook, etc., that are unstoppably marching into their markets. These high-tech companies invade the well-known competitive space of established companies with unimaginable financial resources and by hijacking the consumer life cycle.

Amazon is just one example who already has started to cut out the middleman within the own supply chain. We can be sure that business models of companies like DHL, UPS or FedEx are going to look different in the future - hint: Amazon Prime Air. Furthermore, Amazon has arranged everything to become a complete end-to-end provider of goods - digital as well as non-digital. It's likely that it won't be long until Facebook gets its banking license. Access to potential customers, enough information about its users and the necessary financial resources already exist. Consequently, established companies need to have powerful answers if they still want to exist tomorrow.

AI is one of these answers in the corporate toolkit to help overcome these competitive threats. However, time is running out for established companies. High-tech companies have already become uncatchable.

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
The now mainstream platform changes stemming from the first Internet boom brought many changes but didn’t really change the basic relationship between servers and the applications running on them. In fact, that was sort of the point. In his session at 18th Cloud Expo, Gordon Haff, senior cloud strategy marketing and evangelism manager at Red Hat, will discuss how today’s workloads require a new model and a new platform for development and execution. The platform must handle a wide range of rec...
All organizations that did not originate this moment have a pre-existing culture as well as legacy technology and processes that can be more or less amenable to DevOps implementation. That organizational culture is influenced by the personalities and management styles of Executive Management, the wider culture in which the organization is situated, and the personalities of key team members at all levels of the organization. This culture and entrenched interests usually throw a wrench in the work...
The current age of digital transformation means that IT organizations must adapt their toolset to cover all digital experiences, beyond just the end users’. Today’s businesses can no longer focus solely on the digital interactions they manage with employees or customers; they must now contend with non-traditional factors. Whether it's the power of brand to make or break a company, the need to monitor across all locations 24/7, or the ability to proactively resolve issues, companies must adapt to...
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HyperConvergence came to market with the objective of being simple, flexible and to help drive down operating expenses. It reduced the footprint by bundling the compute/storage/network into one box. This brought a new set of challenges as the HyperConverged vendors are very focused on their own proprietary building blocks. If you want to scale in a certain way, let's say you identified a need for more storage and want to add a device that is not sold by the HyperConverged vendor, forget about it...
In his session at 21st Cloud Expo, James Henry, Co-CEO/CTO of Calgary Scientific Inc., introduced you to the challenges, solutions and benefits of training AI systems to solve visual problems with an emphasis on improving AIs with continuous training in the field. He explored applications in several industries and discussed technologies that allow the deployment of advanced visualization solutions to the cloud.
As you move to the cloud, your network should be efficient, secure, and easy to manage. An enterprise adopting a hybrid or public cloud needs systems and tools that provide: Agility: ability to deliver applications and services faster, even in complex hybrid environments Easier manageability: enable reliable connectivity with complete oversight as the data center network evolves Greater efficiency: eliminate wasted effort while reducing errors and optimize asset utilization Security: implemen...
Most companies are adopting or evaluating container technology - Docker in particular - to speed up application deployment, drive down cost, ease management and make application delivery more flexible overall. As with most new architectures, this dream takes a lot of work to become a reality. Even when you do get your application componentized enough and packaged properly, there are still challenges for DevOps teams to making the shift to continuous delivery and achieving that reduction in cost ...
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Gemini is Yahoo’s native and search advertising platform. To ensure the quality of a complex distributed system that spans multiple products and components and across various desktop websites and mobile app and web experiences – both Yahoo owned and operated and third-party syndication (supply), with complex interaction with more than a billion users and numerous advertisers globally (demand) – it becomes imperative to automate a set of end-to-end tests 24x7 to detect bugs and regression. In th...
"Venafi has a platform that allows you to manage, centralize and automate the complete life cycle of keys and certificates within the organization," explained Gina Osmond, Sr. Field Marketing Manager at Venafi, in this SYS-CON.tv interview at DevOps at 19th Cloud Expo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
Data is the fuel that drives the machine learning algorithmic engines and ultimately provides the business value. In his session at Cloud Expo, Ed Featherston, a director and senior enterprise architect at Collaborative Consulting, discussed the key considerations around quality, volume, timeliness, and pedigree that must be dealt with in order to properly fuel that engine.
Hardware virtualization and cloud computing allowed us to increase resource utilization and increase our flexibility to respond to business demand. Docker Containers are the next quantum leap - Are they?! Databases always represented an additional set of challenges unique to running workloads requiring a maximum of I/O, network, CPU resources combined with data locality.
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It is of utmost importance for the future success of WebRTC to ensure that interoperability is operational between web browsers and any WebRTC-compliant client. To be guaranteed as operational and effective, interoperability must be tested extensively by establishing WebRTC data and media connections between different web browsers running on different devices and operating systems. In his session at WebRTC Summit at @ThingsExpo, Dr. Alex Gouaillard, CEO and Founder of CoSMo Software, presented ...
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The “Digital Era” is forcing us to engage with new methods to build, operate and maintain applications. This transformation also implies an evolution to more and more intelligent applications to better engage with the customers, while creating significant market differentiators. In both cases, the cloud has become a key enabler to embrace this digital revolution. So, moving to the cloud is no longer the question; the new questions are HOW and WHEN. To make this equation even more complex, most ...
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WATSON
Trendalyze

BENSON-
OFF

Unigma

SHAN
CTS

MATTELA
Redpine

GILLEN
Spark
Coginition

SOLT
Netvibes

BERN-
ARDO

GE Digital

ROMAN-
SKY

TrustPoint

BEAMER
GoTransverse

LESTER
LogMeIn

PONO
-MAREVA

Google

SINGH
Sencha

CALKINS
Amadeus

KLEIN
Rachio

HOASIN
Aeris

SARKARIA
PHEMI

SPROULE
Metavine

SNELL
Intel

LEVINE
CytexOne

ALLEN
Freewave

MCCAL-
LUM

Falconstor

HYEDT
Seamless

WebRTC Summit Silicon Valley All-Star Speakers Include

SCHULZ
Luxoft

TAM-
BURINI

Autodesk

MCCARTHY
Bsquare

THURAI
SaneIoT

TURNER
Cloudian

ENDO
Intrepid

NAKAGAWA
Transparent

SHIBATA
Transparent

LEVANT-LEVI
testRTC

VARAN NATH
GE

COOPER
M2Mi

SENAY
Teletax

SKEEN
Vitria

KOCHER
Grey Heron

GREENE
PubNub

MAGUIRE
HP

MATTHIEU
Octoblu

STEINER-
JOVIC

AweSense

LYNN
AgilData

HEDGES
Cloudata

DUFOUR
Webroot

ROBERTS
Platform

JONES
Deep

PFEIFFER
NICTA

NIELSEN
Redis

PAOLAL-
ANTORIO

DataArchon

KAHN
Solgenia

LOPEZ
Kurento

KIM
MapR

BROMHEAD
Instaclustr

LEVINE
CytexOne

BONIFAZI
Solgenia

GORBA-
CHEV

Intelligent
Systems

THYKAT-
TIL

Navisite

TRELOAR
Bebaio

SIVARAMA-
KRISHNAN

Red Hat
Cloud Expo New York All-Star Speakers Included

DE SOUZA
Cisco

POTTER
SafeLogic

ROBINSON
CompTIA

WARUSA
-WITHANA

WSO2 Inc

MEINER
Oracle

CHOU
Microsoft

HARRISON
Tufin

BRUNOZZI
VMware

KIM
MapR

KANE
Dyn

SICULAR
Basho

TURNER
Cloudian

KUMAR
Liaison

ADAMIAK
Liaison

KHAN
Solgenia

BONIFAZI
Solgenia

SUSSMAN
Coalfire

ISAACSON
RMS

LYNN
CodeFutures

HEABERLIN
Windstream

RAMA
MURTHY

Virtusa

BOSTOCK
IndependenceIT

DE MENO
CommVault

GRILLI
Adobe

WILLIAMS
Rancher Labs

CRISWELL
Alert Logic

COTY
Alert Logic

JACOBS
SingleHop

MARAVEI
Cisco

JACKSON
Softlayer

SINGH
IBM

HAZARD
Softlayer

GALLO
Softlayer

TAMASKAR
GENBAND

SUBRA
-MANIAN

Emcien

LEVESQUE
Windstream

IVANOV
StorPool

BLOOM-
BERG

Intellyx

BUDHANI
Soha

HATHAWAY
IBM Watson

TOLL
ProfitBricks

LANDRY
Microsoft

BEARFIELD
Blue Box

HERITAGE
Akana

PILUSO
SIASMSP

HOLT
IBM Cloudant

SHAN
CTS

PICCIN-
INNI

EMC

BRON-
GERSMA

Modulus

PAIGE
CenturyLink

SABHIKHI
Cognitive Scale

MILLS
Green House Data

KATZEN
CenturyLink

SLOPER
CenturyLink

SRINIVAS
EMC

TALREJA
Cisco

GORBACHEV
Systems Services Inc.

COLLISON
Apcera

PRABHU
OpenCrowd

LYNN
CodeFutures

SWARTZ
Ericsson

MOSHENKO
CoreOS

BERMING-
HAM

SIOS

WILLIS
Stateless Networks

MURPHY
Gridstore

KHABE
Vicom

NIKOLOV
GetClouder

DIETZE
Windstream

DALRY-
MPLE

EnterpriseDB

MAZZUCCO
TierPoint

RIVERA
WHOA.com

HERITAGE
Akana

SEYMOUR
6fusion

GIANNETTO
Author

CARTER
IBM

ROGERS
Virtustream
Cloud Expo Silicon Valley All-Star Speakers

TESAR
Microsoft

MICKOS
HP

BHARGAVA
Intel

RILEY
Riverbed

DEVINE
IBM

ISAACSON
CodeFutures

LYNN
HP

HINKLE
Citrix

KHAN
Solgenia

SINGH
Bigdata

BEACH
SendGrid

BOSTOCK
IndependenceIT

DE SOUZA
Cisco

PATTATHIL
Harbinger

O'BRIEN
Aria Systems

BONIFAZI
Solgenia

BIANCO
Solgenia

PROCTOR
NuoDB

DUGGAL
EnterpriseWeb

TEGETHOFF
Appcore

BRUNOZZI
VMware

HICKENS
Parasoft

KLEBANOV
Cisco

PETERS
Esri

GOLDBERG
Vormetric

CUMBER-
LAND

Dimension

ROSENDAHL
Quantum

LOOMIS
Cloudant

BRUNO
StackIQ

HANNON
SoftLayer

JACKSON
SoftLayer

HOCH
Virtustream

KAPADIA
Seagate

PAQUIN
OnLive

TSAI
Innodisk

BARRALL
Connected Data

SHIAH
AgilePoint

SEGIL
Verizon

PODURI
Citrix

COWIE
Dyn

RITTEN-
HOUSE

Cisco

FALLOWS
Kaazing

THYKATTIL
TimeWarner

LEIDUCK
SAP

LYNN
HP

WAGSTAFF
BSQUARE

POLLACK
AOL

KAMARAJU
Vormetric

BARRY
Catbird

MENDEN-
HALL

SUPERNAP

SHAN
KEANE

PLESE
Verizon

BARNUM
Voxox

TURNER
Cloudian

CALDERON
Advanced Systems

AGARWAL
SOA Software

LEE
Quantum

OBEROI
Concurrent, Inc.

HATEM
Verizon

GALEY
Autodesk

CAUTHRON
NIMBOXX

BARSOUM
IBM

GORDON
1Plug

LEWIS
Verizon

YEO
OrionVM

NAKAGAWA
Transparent Cloud Computing

SHIBATA
Transparent Cloud Computing

NATH
GE

GOKCEN
GE

STOICA
Databricks

TANKEL
Pivotal Software


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
General Manager of Window Azure
 
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."
Yasser Khan
CEO of @Cnnct2me
 
One of the best conferences we have attended in a while. Great job, Cloud Expo team! Keep it going."

@Peak_Ten


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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Cloud Expo Show Guide
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Join Us as a Media Partner - Together We Can Rock the IT World!
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 Patricia Henderson at patricia@sys-con.com.

@CloudExpo Blogs
Digital Transformation is much more than a buzzword. The radical shift to digital mechanisms for almost every process is evident across all industries and verticals. This is often especially true in financial services, where the legacy environment is many times unable to keep up with the rapidly shifting demands of the consumer. The constant pressure to provide complete, omnichannel delivery of customer-facing solutions to meet both regulatory and customer demands is putting enormous pressure on organizations of all sizes and in every line of business. Fintech is a constant battleground for th...
You often hear the two titles of "DevOps" and "Immutable Infrastructure" used independently. In his session at DevOps Summit, John Willis, Technical Evangelist for Docker, covered the union between the two topics and why this is important. He provided an overview of Immutable Infrastructure then showed how an Immutable Continuous Delivery pipeline can be applied as a best practice for "DevOps." He ended the session with some interesting case study examples.
The best way to leverage your CloudEXPO | DXWorldEXPO presence as a sponsor and exhibitor is to plan your news announcements around our events. The press covering CloudEXPO | DXWorldEXPO 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 CloudEXPO. Product announcements during our show provide your company with the most reach through our targeted audiences.
DXWorldEXPO LLC announced today that All in Mobile, a mobile app development company from Poland, will exhibit at the 22nd International CloudEXPO | DXWorldEXPO. All In Mobile is a mobile app development company from Poland. Since 2014, they maintain passion for developing mobile applications for enterprises and startups worldwide.
With 10 simultaneous tracks, keynotes, general sessions and targeted breakout classes, @CloudEXPO and DXWorldEXPO are two of the most important technology events of the year. Since its launch over eight years ago, @CloudEXPO and DXWorldEXPO have presented a rock star faculty as well as showcased hundreds of sponsors and exhibitors!
JETRO showcased Japan Digital Transformation Pavilion at SYS-CON's 21st International Cloud Expo® at the Santa Clara Convention Center in Santa Clara, CA. The Japan External Trade Organization (JETRO) is a non-profit organization that provides business support services to companies expanding to Japan. With the support of JETRO's dedicated staff, clients can incorporate their business; receive visa, immigration, and HR support; find dedicated office space; identify local government subsidies; get tailored market studies; and more.
Both SaaS vendors and SaaS buyers are going “all-in” to hyperscale IaaS platforms such as AWS, which is disrupting the SaaS value proposition. Why should the enterprise SaaS consumer pay for the SaaS service if their data is resident in adjacent AWS S3 buckets? If both SaaS sellers and buyers are using the same cloud tools, automation and pay-per-transaction model offered by IaaS platforms, then why not host the “shrink-wrapped” software in the customers’ cloud? Further, serverless computing, cloud marketplaces and DevOps are changing the economics of hosting and delivering software. ...
"We do one of the best file systems in the world. We learned how to deal with Big Data many years ago and we implemented this knowledge into our software," explained Jakub Ratajczak, Business Development Manager at MooseFS, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8 in New York City, NY.
All organizations that did not originate this moment have a pre-existing culture as well as legacy technology and processes that can be more or less amenable to DevOps implementation. That organizational culture is influenced by the personalities and management styles of Executive Management, the wider culture in which the organization is situated, and the personalities of key team members at all levels of the organization. This culture and entrenched interests usually throw a wrench in the works because of misaligned incentives.
The current age of digital transformation means that IT organizations must adapt their toolset to cover all digital experiences, beyond just the end users’. Today’s businesses can no longer focus solely on the digital interactions they manage with employees or customers; they must now contend with non-traditional factors. Whether it's the power of brand to make or break a company, the need to monitor across all locations 24/7, or the ability to proactively resolve issues, companies must adapt to the new world.
DXWorldEXPO LLC announced today that the upcoming DXWorldEXPO | CloudEXPO New York event will feature 10 companies from Poland to participate at the "Poland Digital Transformation Pavilion" on November 12-13, 2018.
"We are still a relatively small software house and we are focusing on certain industries like FinTech, med tech, energy and utilities. We help our customers with their digital transformation," noted Piotr Stawinski, Founder and CEO of EARP Integration, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8 in New York City, NY.
In his Opening Keynote at 21st Cloud Expo, John Considine, General Manager of IBM Cloud Infrastructure, led attendees through the exciting evolution of the cloud. He looked at this major disruption from the perspective of technology, business models, and what this means for enterprises of all sizes. John Considine is General Manager of Cloud Infrastructure Services at IBM. In that role he is responsible for leading IBM’s public cloud infrastructure including strategy, development, and offering management. To date, IBM has launched more than 50 cloud data centers that span the globe. He has bee...
As data explodes in quantity, importance and from new sources, the need for managing and protecting data residing across physical, virtual, and cloud environments grow with it. Managing data includes protecting it, indexing and classifying it for true, long-term management, compliance and E-Discovery. Commvault can ensure this with a single pane of glass solution – whether in a private cloud, a Service Provider delivered public cloud or a hybrid cloud environment – across the heterogeneous enterprise.
DXWorldEXPO LLC announced today that ICC-USA, a computer systems integrator and server manufacturing company focused on developing products and product appliances, will exhibit at the 22nd International CloudEXPO | DXWorldEXPO. DXWordEXPO New York 2018, colocated with CloudEXPO New York 2018 will be held November 11-13, 2018, in New York City. ICC is a computer systems integrator and server manufacturing company focused on developing products and product appliances to meet a wide range of computational needs for many industries. Their solutions provide benefits across many environments, ...
More and more brands have jumped on the IoT bandwagon. We have an excess of wearables – activity trackers, smartwatches, smart glasses and sneakers, and more that track seemingly endless datapoints. However, most consumers have no idea what “IoT” means. Creating more wearables that track data shouldn't be the aim of brands; delivering meaningful, tangible relevance to their users should be. We're in a period in which the IoT pendulum is still swinging. Initially, it swung toward "smart for smart's sake," and many brands remain in that corner. But many brands are also gradually opting for more ...
We all know that end users experience the Internet primarily with mobile devices. From an app development perspective, we know that successfully responding to the needs of mobile customers depends on rapid DevOps – failing fast, in short, until the right solution evolves in your customers' relationship to your business. Whether you’re decomposing an SOA monolith, or developing a new application cloud natively, it’s not a question of using microservices – not doing so will be a path to eventual business failure.
Coca-Cola’s Google powered digital signage system lays the groundwork for a more valuable connection between Coke and its customers. Digital signs pair software with high-resolution displays so that a message can be changed instantly based on what the operator wants to communicate or sell. In their Day 3 Keynote at 21st Cloud Expo, Greg Chambers, Global Group Director, Digital Innovation, Coca-Cola, and Vidya Nagarajan, a Senior Product Manager at Google, discussed how from store operations and optimization to employee training and insights, all ultimately create the best customer experience b...
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.
Headquartered in Plainsboro, NJ, Synametrics Technologies has provided IT professionals and computer systems developers since 1997. Based on the success of their initial product offerings (WinSQL and DeltaCopy), the company continues to create and hone innovative products that help its customers get more from their computer applications, databases and infrastructure. To date, over one million users around the world have chosen Synametrics solutions to help power their accelerated business or personal computing needs.