Welcome!

Symbian Authors: Jack Newton, Kevin Benedict, Matthew Lobas, Shelly Palmer, RealWire News Distribution

News Feed Item

The Cloud-Based Virtual Desktop Infrastructure (VDI) Market 2012-2017

NEW YORK, Nov. 8, 2012 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

The Cloud-Based Virtual Desktop Infrastructure (VDI) Market 2012-2017
http://www.reportlinker.com/p01027065/The-Cloud-Based-Virtual-Desktop-Infrastructure-VDI-Market-2012-2017.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=IT_Hosting

Report Details

For enterprises, traditional desktop computing is nearly extinct. Most workers now carry laptop computers to and from their desks, and the 21st century trend towards a mobilised workforce means many workers no longer have desks at all. Traditional desktop computing consumes excessive time and resources. 

Virtualised servers and desktops hold the key to more efficient IT management. Although virtual desktop infrastructure (VDI) has historically been deemed too expensive, the recent surge of cloud computing offers a cost-effective, managed platform for VDI that stands to revolutionise the structure of enterprise IT. Visiongain has determined that the value of the global cloud-based VDI market will reach $11.2 billion in 2012.

What makes this report unique?

An array of primary and secondary sources has informed the findings of our report. These findings have been placed in a global and regional context, highlighting market trends and strategic opportunities. The report identifies and examines key players in a market poised for substantial growth. Our forecasts are informed by the performance of parallel markets and leading vendors, including an exclusive interview with the market-leading desktop virtualisation and networking company. All these findings are presented in a thorough, straightforward manner.

Why you should buy The Cloud-Based Virtual Desktop Infrastructure (VDI) Market 2012-2017

• 127 pages
• An exclusive visiongain interview with:
- Kevin Strohmeyer - Director of Product Marketing at Citrix
• 95 tables, charts, and figures
• Global cloud-based VDI market forecasts between 2012-2017
• Forecasts from 2012-2017 of three submarkets related to cloud-based VDI delivery
- Software-as-a-service (SaaS)
- Infrastructure-as-a-service (IaaS)
- Private cloud hosting
• 5 cloud-based VDI regional market forecasts from 2012-2017
- North America
- Latin America
- Asia-Pacific
- Europe
- The Middle East and North Africa
• A SWOT analysis of the cloud-based VDI market 2012-2017
• 14 leading companies identified and their leading products profiled -
- Citrix
- Hewlett-Packard
- Cisco
- VMWare
- IBM
- Microsoft
- Oracle
- Dell
- Kaviza
- NComputing
- V3 Systems
- MokaFive
- Wyse
- Red Hat
• Analysis and forecasts of the parallel cloud computing market 2012-2017
• In-depth analysis of drivers and restraints for cloud computing and cloud-based VDI over the forecast period.
• Discussion of potential future applications for the technology in both enterprise and consumer arenas.
• Identification of key points of overlap with the mobile telecommunications industry and connected homes paradigm.

You can order this report today

Gain an understanding of how to tap into the potential of this market by ordering The Cloud-Based Virtual Desktop Infrastructure (VDI) Market 2012-2017.

Visiongain is a trading partner with the US Federal Government 
CCR Ref number: KD4R6  

Table of Contents

Executive Summary
E1. The Expansion of Personal Computing
E2. The Expansion of Cloud Computing
E3. The Promise of Virtual Desktops
E4. Cloud-Based VDI Markets and Major Players
E5. Key Findings of this Report

1. Introduction to Cloud-Based VDI
1.1 Changes and Challenges in Enterprise
1.2 The Problem of Hardware Updates
1.3 The Problem of Software Updates
1.4 What is Cloud Computing and How is it Defined?
1.4.1 Essential Characteristics of the Cloud Model
1.4.2 Service Delivery Models for Cloud Computing
1.4.3 Differentiating Between Public and Private Clouds
1.4.3.1 Public Cloud
1.4.3.2 Private Cloud
1.5 What is Cloud-Based Virtualisation and How Does it Work?
1.6 The Benefits of Virtualisation
1.6.1 Grid Computing
1.7 Aim of this Report
1.8 Scope of this Report
1.9 Questions Answered by this Report
1.10 Market Definition
1.11 Methodology

2. Global Cloud-Based VDI Market Forecast 2012-2017
2.1 Global Cloud-based VDI Revenue Forecast 2012-2017
2.2 Global VDI User Forecast 2012-2017
2.3 Average Cost Per User for Cloud-Based VDI 2012-2017
2.3.1 Correlation Between Cost and User Base
2.4 Global Saas, IaaS, and Private Cloud VDI Submarket Forecasts 2012-2017
2.4.1 Global VDI-SaaS Submarket Forecast 2012-2017
2.4.2 Global VDI-IaaS Submarket Forecast 2012-2017
2.4.3 Private Cloud VDI Submarket Forecast 2012-2017

3. Regional Cloud-Based VDI Market Forecasts 2012-2017
3.1 The North American Cloud-Based VDI Market Forecast 2012-2017
3.2 Asia-Pacific's Cloud-Based VDI Market Forecast 2012-2017
3.3 The European Cloud-Based VDI Market Forecast 2012-2017
3.4 The Latin American Cloud-Based VDI Market Forecast 2012-2017
3.5 The Middle-East and African Cloud-Based VDI Market Forecast 2012-2017

4. Leading VDI Vendors
4.1 Citrix
4.1.1 Citrix Products
4.1.2 Future Direction and the "Nirvana Smartphone"
4.1.2.1 Features
4.1.2.2 Capabilities
4.1.3 Drivers for the Nirvana Smartphone
4.1.3.1 The Proliferation of Virtual and Remote Desktops
4.1.3.2 The Proliferation of Virtualised and Web-Based Apps
4.1.3.3 Free-Seat Office Models
4.1.3.4 Business-Ready Hoteling
4.1.3.5 Expansion of the LCD Market
4.1.3.6 Prevalence of Digital Projectors
4.1.4 Restraints for the Nirvana Smartphone
4.1.4.1 Device Size
4.1.4.2 Performance
4.1.4.3 Cost
4.2 Hewlett-Packard
4.3 IBM
4.3.1 Second-Generation VDI
4.3.2 Additional Capabilities
4.4 VMWare
4.4.1 VMWare Workstation 8
4.4.2 VMWare View
4.4.2.1 View 5 Features
4.4.2.1 View Desktop Types
4.5 Oracle
4.5.1 Oracle VDI
4.5.1.1 Specifications
4.5.1.2 Key Features
4.7 Microsoft
4.8 Wyse
4.8.1 Partnership with Citrix
4.8.2 PocketCloud
4.9 MokaFive
4.9.1 Products
4.9.1.1 MokaFive Suite
4.9.1.2 MokaFive Service
4.10 NComputing
4.10.1 Basic Functions and Product Line
4.10.1.1 L-Series
4.10.1.2 M-Series
4.10.2.3 N-Series
4.10.2.4 X-Series
4.11 Kaviza
4.11.1 Acquisition
4.12 V3 Systems
4.12.1 V3 Products
4.13 Red Hat
4.13.1 Red Hat Enterprise Virtualisation (RHEV) for Servers
4.14 Cisco Systems
4.14.1 Featured Products
4.15 Dell
4.16 Other Vendors

5. Drivers and Restraints for the Cloud-Based VDI Market
5.1 Drivers
5.1.1 High Demand for Cloud Computing Services
5.1.1.1 Implications for Virtualisation
5.1.2 The Rise of Open Source Cloud Computing and VDI Solutions
5.1.3 Salience of Dynamic IT Infrastructure
5.1.4 Popularity of IT Outsourcing and Managed Services
5.1.5 Windows 7 and 8 Migration
5.1.6 Creating Possibilities for Application-Testing
5.1.7 Workforce Mobility
5.1.8 Expanding Collaboration
5.1.9 Mobile Computing
5.1.10 HTML5
5.1.11 Lowering Costs
5.1.12 Shifting from a CAPEX to an OPEX Model
5.1.13 Cloud Drivers and Enablers for SMBs
5.2 Market Restraints
5.2.1 Security
5.2.2 Data Transit Vulnerabilities
5.2.3 Unwieldy Structures in Enterprise
5.2.4 Vulnerability to Massive Outages
5.2.5 Historic Image of Complexity and High Cost
5.2.6 Determination to Maximise Utility of Existing Systems
5.2.7 Cloud Commoditisation
5.2.8 Capacity Issues
5.2.9 Interoperability Issues
5.2.10 A Diverse Value Chain
5.2.11 Data Corruption
5.2.12 SLA and Quality of Service
5.2.13 Legal Compliance
5.2.14 Encryption Limitation
5.2.15 Customer Identification
5.2.16 Physical Security
5.2.17 Low and Slow Documentation of VDI Successes

6. Future Trends in Virtualisation and Possible Applications for the Technology
6.1 VDI for Mobile Devices
6.2 Security, Defense, and Military Applications for Virtualisation
6.2.1 Defense Applications
6.2.2 IP Surveillance
6.3 Connected Homes and Devices

7. Expert Opinion
7.1 Kevin Strohmeyer, Director of Product Marketing for Citrix Enterprise Desktop and Applications
7.1.1 Low Adoption Despite High Salience
7.1.2 Changes to Traditional IT Management
7.1.3 Private Cloud, Hybrid Models and new IT Responsibilties
7.1.4 Are Market Drivers Sufficiently Outweighing Cost ?
7.1.5 The Evolution of VDI alongside Enterprise Mobile Devices
7.1.6 Partnership with Microsoft and Windows 8 Launch
7.1.7 Designing Across Operating Systems
7.1.8 Kaviza Acquisition - Reaching out to New Segments
7.1.9 VDI's Relative Strength and Trends Across Regional Markets
7.1.10 How Are VDI restraints and Preconceptions Being Overcome ?

8. SWOT Analysis of the Cloud-Based VDI Market 2012-2017


9. Conclusions
9.1 Global Cloud-Based VDI Market 2012-2017
9.1.1 Global Cloud-Based VDI Revenue 2012-2017
9.1.2 Global Cloud-Based VDI Usership 2012-2017
9.1.3 Methods of Delivering Cloud-Based VDI
9.1.3.1 SaaS Global Cloud-Based VDI Market 2012-2017
9.1.3.2 IaaS Global Cloud-Based VDI Market 2012-2017
9.1.3.3 Private Hosting Global Cloud-Based VDI Market 2012-2017
9.2 Regional Cloud-Based VDI Markets 2012-2017
9.2.1 The North American Global Cloud-Based VDI Market 2012-2017
9.2.2 The Asia-Pacific Global Cloud-Based VDI Market 2012-2017
9.2.3 The European Global Cloud-Based VDI Market 2012-2017
9.2.4 The Latin American Global Cloud-Based VDI Market 2012-2017
9.2.5 The Middle East and African Global Cloud-Based VDI Market 2012-2017
9.3 Cost of Cloud-Based VDI Technology
9.4 Prospects and Influence

10. Glossary

List of Charts

Chart 2.1: Global Cloud-Based VDI Revenue Forecast 2012-2017 ($ billion)
Chart 2.2: Global Cloud-Based VDI Revenue AGR Forecast 2012-2017 (%)
Chart 2.3: Global Cloud-Based VDI User Forecast 2012-2017 (million users)
Chart 2.4: Global Cloud-Based VDI Revenue AGR Forecast 2012-2017 (%)
Chart 2.5: VDI ACPU and User Forecast 2012-2017 (million users; $)
Chart 2.6: SaaS, IaaS, and Private Cloud VDI Submarket Revenue Forecast 2012-2017 ($ billion)
Chart 2.7: VDI Submarket Share 2012 (%)
Chart 2.8: VDI Submarket Share 2014 (%)
Chart 2.9: VDI Submarket Share 2017 (%)
Chart 2.10: Global VDI-SaaS Revenue Forecast 2012-2017 ($ billion)
Chart 2.11: Global VDI-SaaS AGR Forecast 2012-2017 (%)
Chart 2.12: Global VDI-IaaS Revenue Forecast 2012-2017 ($ billion)
Chart 2.13: Global VDI-IaaS Revenue AGR Forecast 2012-2017 (%)
Chart 2.14: Global VDI-IaaS Revenue Forecast 2012-2017 ($ billion)
Chart 2.15: Global VDI-IaaS Revenue AGR Forecast 2012-2017 (%)
Chart 3.1: Regional Cloud-Based VDI Revenue Forecast 2012-2017 ($ billion)
Chart 3.2: Regional Cloud-Based VDI Market Share Forecast 2012-2017 (%)
Chart 3.3: Regional Cloud-Based VDI Market Share Forecast 2012 (%)
Chart 3.4: Regional Cloud-Based VDI Market Share Forecast 2014 (%)
Chart 3.5: Regional Cloud-Based VDI Market Share Forecast 2017 (%)
Chart 3.6: North American Cloud-Based VDI Revenue Forecast 2012-2017 ($ billion)
Chart 3.7: North American Cloud-Based VDI Revenue AGR Forecast 2012-2017 (%)
Chart 3.8: Asia-Pacific Cloud-Based VDI Revenue Forecast 2012-2017 ($ billion)
Chart 3.9: Asia-Pacific Cloud-Based VDI Revenue AGR Forecast 2012-2017 (%)
Chart 3.10: European Cloud-Based VDI Revenue Forecast 2012-2017 ($ billion)
Chart 3.11: European Cloud-Based VDI Revenue AGR Forecast 2012-2017 (%)
Chart 3.12: Latin American Cloud-Based VDI Revenue Forecast 2012-2017 ($ billion)
Chart 3.13: Latin American Cloud-Based VDI Revenue AGR Forecast 2012-2017 (%)
Chart 3.14: MEA Cloud-Based VDI Revenue Forecast 2012-2017 ($ billion)
Chart 3.15: MEA Cloud-Based VDI Revenue AGR Forecast 2012-2017 (%)
Chart 4.1: Global Digital Project Shipment Forecast 2012-2017 (million units)
Chart 4.2: Global VDI-IaaS AGR Forecast 2012-2017 (%)
Chart 5.1: Global Cloud Computing Market Forecast 2012-2017 ($bn)
Chart 5.2: Global Cloud Computing Market Forecast 2013-2017 (AGR %)
Chart 5.3: Tech Companies Planning VDI Migration 2009; 2012 (%)
Chart 5.4: Average Cost Per User for VDI and PC, 2012-2017 Forecast (US$)
Chart 5.5: Average Cost of System Ownership Per User for VDI and PC, 2012-2017 AGR Forecast (%)

List of Tables

Table 1.1 Challenges of Traditional IT Departments
Table 1.2: Five Essential Characteristics of Cloud Computing
Table 1.3: Cloud Service Delivery Models
Table 1.4: Cloud-Based Virtualisation - Elements and Processes
Table 1.5: Benefits of Cloud Virtualisation
Table 2.1 Global Cloud-Based VDI Revenue Forecast 2012-2017 ($ billion, AGR %)
Table 2.2: Global Cloud-Based VDI Revenue CAGR Forecast 2012-2017; 2012-2014; 2014-2017 (%)
Table 2.3: Global Cloud-Based VDI User Forecast 2012-2017 (million users, AGR %)
Table 2.4: Global Cloud-Based VDI User CAGR Forecast 2012-2017; 2012-2014; 2014-2017 (%)
Table 2.5: Average Cost Per User for PC and VDI Model Forecast 2012-2017 ($, AGR %)
Table 2.6: Average Cost Per User for PC and VDI Model CAGR Forecast 2012-2017; 2012-2014; 2014-2017 (%)
Table 2.7: SaaS, IaaS, and Private Cloud VDI Submarket Revenue and AGR Forecast 2012-2017 ($ billion; %)
Table 2.8: Global VDI-SaaS Revenue and AGR Forecast 2012-2017 ($ billion, %)
Table 2.9: Global VDI-SaaS Revenue CAGR Forecast 2012-2017; 2012-2014; 2014-2017 (%)
Table 2.10: Global VDI-IaaS Revenue and AGR Forecast 2012-2017 ($ billion, %)
Table 2.11: Global VDI-IaaS Revenue CAGR Forecast 2012-2017; 2012-2014; 2014-2017 (%)
Table 2.12: Global VDI-IaaS Revenue and AGR Forecast 2012-2017 ($ billion, %)
Table 2.13: Global VDI-IaaS Revenue CAGR Forecast 2012-2017; 2012-2014; 2014-2017 (%)
Table 3.1: Regional Cloud-Based VDI Revenue Forecast 2012-2017 ($ billion, AGR%)
Table 3.2: North American Cloud-Based VDI Revenue and AGR Forecast 2012-2017 ($ billion, %)
Table 3.3: North American Cloud-Based VDI Revenue CAGR Forecast 2012-2017; 2012-2014; 2014-2017 (%)
Table 3.4: Asia-Pacific Cloud-Based VDI Revenue and AGR Forecast 2012-2017 ($ billion, %)
Table 3.5: Asia-Pacific Cloud-Based VDI Revenue CAGR Forecast 2012-2017; 2012-2014; 2014-2017 (%)
Table 3.6: European Cloud-Based VDI Revenue and AGR Forecast 2012-2017 ($ billion, %)
Table 3.7: European Cloud-Based VDI Revenue CAGR Forecast 2012-2017; 2012-2014; 2014-2017 (%)
Table 3.8: Latin American Cloud-Based VDI Revenue and AGR Forecast 2012-2017 ($ billion, %)
Table 3.9: Latin American Cloud-Based VDI Revenue CAGR Forecast 2012-2017; 2012-2014; 2014-2017 (%)
Table 3.10: MEA Cloud-Based VDI Revenue and AGR Forecast 2012-2017 ($ billion, %)
Table 3.11: MEA Cloud-Based VDI Revenue CAGR Forecast 2012-2017; 2012-2014; 2014-2017 (%)
Table 4.1: Microsoft, Selected Corporate Acquisition and Partnership Timeline 2006-2012
Table 4.2: Citrix - Selected Product and Service Descriptions
Table 4.3: Global VDI-IaaS Revenue and AGR Forecast 2012-2017 ($ billion, %)
Table 4.4: Global VDI-IaaS CAGR Forecast 2012-2017; 2012-2014; 2014-2017 (%)
Table 4.5: HP VDI Building Blocks and Characteristic Features
Table 4.6: Additional Capabilities of Virtual Desktop for Smart Business 6.0
Table 4.7: Focal Points of VMWare's Workstation 8
Table 4.8: VMWare View Desktop Types Comparison
Table 4.9: VMWare View Desktop Types Description
Table 4.10: Technical Specifications for Oracle VDI 3.3
Table 4.11: Key Features of Oracle VDI 3.3
Table 4.12: Key Features of Microsoft VDI in Windows Server 2012
Table 4.13: V3 Systems Appliance Controls
Table 4.14: V3 Appliances and Capabilities
Table 4.15: Red Hat Enterprise Virtualisation (RHEV) Benefits and Features
Table 4.16: Cisco Systems Featured VDI/UCS Products
Table 4.17: Vendors in the Cloud-Based VDI Market
Table 5.1: Global Cloud Computing Market Forecast 2012-2017 ($ billion, AGR %)
Table 5.2: Global Cloud Computing Market Forecast CAGR (%), 2012-2017, 2012-2014, and 2014-2017
Table 8.1: SWOT Analysis of the Cloud-Based VDI Market 2012-2017

List of Figures

Figure 1.1: Elements of the Cloud-Based Virtual Desktop Infrastructure
Figure 4.1: Smartphone as a PC Replacement
Figure 4.2: Features and Capabilities of the "Nirvana Smartphone"
Figure 4.3: Drivers for the Nirvana Smartphone
Figure 4.4: VMWare View Layer Interaction
Figure 5.1: SMB Business Value Drivers & Enablers
Figure 5.2: Top 5 Concerns when Deploying VDI (descending order of importance to firms)
Figure 5.3: Amazon EC2 Structure
Figure 5.4: Amazon EC2 EBS RDS Link 


Companies Listed

2X Software
Amazon
Apple
AppSense
Aterity
AWS
Catbird
Ceedo
Cisco
Citrix
ClearCube
Dell
Desktone
Desktoposites
Dynamic Network Factory 
EMC
Ericom Software
Eucalyptus
Flexera
Fujitsu
GoGrid 
Google
GridCentric
Hewlett-Packard (HP)
IBM
IGEL
Joyent
Kaviza
LG
Microsoft
MokaFive
Motorola
NComputing
Nokia
Oracle
Oracle Corporation
Pano Logic
Piston Cloud Computing
Rackspace
Red Hat
Salesforce.com
Samsung
Sun Microsystems
Teradici
V3
VDIworks
Virtual Bridges
VMWare
Wyse 
ZenithInfotech 

To order this report:
IT_Hosting Industry:
The Cloud-Based Virtual Desktop Infrastructure (VDI) Market 2012-2017

_________________________
Contact Nicolas: [email protected]
US: (805)-652-2626
Intl: +1 805-652-2626

 

SOURCE Reportlinker

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

@ThingsExpo Stories
Cloud-enabled transformation has evolved from cost saving measure to business innovation strategy -- one that combines the cloud with cognitive capabilities to drive market disruption. Learn how you can achieve the insight and agility you need to gain a competitive advantage. Industry-acclaimed CTO and cloud expert, Shankar Kalyana presents. Only the most exceptional IBMers are appointed with the rare distinction of IBM Fellow, the highest technical honor in the company. Shankar has also receive...
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 ...
WebRTC is great technology to build your own communication tools. It will be even more exciting experience it with advanced devices, such as a 360 Camera, 360 microphone, and a depth sensor camera. In his session at @ThingsExpo, Masashi Ganeko, a manager at INFOCOM Corporation, introduced two experimental projects from his team and what they learned from them. "Shotoku Tamago" uses the robot audition software HARK to track speakers in 360 video of a remote party. "Virtual Teleport" uses a multip...
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.
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.
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...
When shopping for a new data processing platform for IoT solutions, many development teams want to be able to test-drive options before making a choice. Yet when evaluating an IoT solution, it’s simply not feasible to do so at scale with physical devices. Building a sensor simulator is the next best choice; however, generating a realistic simulation at very high TPS with ease of configurability is a formidable challenge. When dealing with multiple application or transport protocols, you would be...
Detecting internal user threats in the Big Data eco-system is challenging and cumbersome. Many organizations monitor internal usage of the Big Data eco-system using a set of alerts. This is not a scalable process given the increase in the number of alerts with the accelerating growth in data volume and user base. Organizations are increasingly leveraging machine learning to monitor only those data elements that are sensitive and critical, autonomously establish monitoring policies, and to detect...
In his keynote at 18th Cloud Expo, Andrew Keys, Co-Founder of ConsenSys Enterprise, provided an overview of the evolution of the Internet and the Database and the future of their combination – the Blockchain. Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settl...
In his session at @ThingsExpo, Dr. Robert Cohen, an economist and senior fellow at the Economic Strategy Institute, presented the findings of a series of six detailed case studies of how large corporations are implementing IoT. The session explored how IoT has improved their economic performance, had major impacts on business models and resulted in impressive ROIs. The companies covered span manufacturing and services firms. He also explored servicification, how manufacturing firms shift from se...
DevOpsSummit New York 2018, colocated with CloudEXPO | DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City. Digital Transformation (DX) is a major focus with the introduction of DXWorldEXPO within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of bus...
The Jevons Paradox suggests that when technological advances increase efficiency of a resource, it results in an overall increase in consumption. Writing on the increased use of coal as a result of technological improvements, 19th-century economist William Stanley Jevons found that these improvements led to the development of new ways to utilize coal. In his session at 19th Cloud Expo, Mark Thiele, Chief Strategy Officer for Apcera, compared the Jevons Paradox to modern-day enterprise IT, examin...
IoT solutions exploit operational data generated by Internet-connected smart “things” for the purpose of gaining operational insight and producing “better outcomes” (for example, create new business models, eliminate unscheduled maintenance, etc.). The explosive proliferation of IoT solutions will result in an exponential growth in the volume of IoT data, precipitating significant Information Governance issues: who owns the IoT data, what are the rights/duties of IoT solutions adopters towards t...
Amazon started as an online bookseller 20 years ago. Since then, it has evolved into a technology juggernaut that has disrupted multiple markets and industries and touches many aspects of our lives. It is a relentless technology and business model innovator driving disruption throughout numerous ecosystems. Amazon’s AWS revenues alone are approaching $16B a year making it one of the largest IT companies in the world. With dominant offerings in Cloud, IoT, eCommerce, Big Data, AI, Digital Assista...
Organizations planning enterprise data center consolidation and modernization projects are faced with a challenging, costly reality. Requirements to deploy modern, cloud-native applications simultaneously with traditional client/server applications are almost impossible to achieve with hardware-centric enterprise infrastructure. Compute and network infrastructure are fast moving down a software-defined path, but storage has been a laggard. Until now.
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...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
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.
"Akvelon is a software development company and we also provide consultancy services to folks who are looking to scale or accelerate their engineering roadmaps," explained Jeremiah Mothersell, Marketing Manager at Akvelon, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
IoT is at the core or many Digital Transformation initiatives with the goal of re-inventing a company's business model. We all agree that collecting relevant IoT data will result in massive amounts of data needing to be stored. However, with the rapid development of IoT devices and ongoing business model transformation, we are not able to predict the volume and growth of IoT data. And with the lack of IoT history, traditional methods of IT and infrastructure planning based on the past do not app...