Public cloud services aren’t the best bet for enterprises looking to replace or supplement their data centers, according to research firm Gartner. Through 2012, Gartner forecasts IT organizations will spend more money on private cloud computing investments than on offerings from public cloud providers. Startups and other organizations have jumped on fast-growing public cloud offerings […]
Datamation content and product recommendations are
editorially independent. We may make money when you click on links
to our partners.
Learn More
Public cloud services aren’t the best bet for enterprises looking to replace or supplement their data centers, according to research firm Gartner. Through 2012, Gartner forecasts IT organizations will spend more money on private cloud computing investments than on offerings from public cloud providers.
Startups and other organizations have jumped on fast-growing public cloud offerings from Amazon and others.
There is also great interest on the enterprise side for cloud services from the likes of Salesforce.com (NYSE: CRM), Google (NASDAQ: GOOG) and others. Gartner defines public cloud computing as a style of computing in which scalable and “elastic” IT-enabled capabilities are delivered as a service to external customers using Internet technologies. By contrast, it defines private cloud computing as a system in which scalable and elastic IT-enabled capabilities are delivered as a service to internal customers using Internet technologies.
“The hype of cloud computing is that existing IT architectures and processes can be simply replaced by the cloud,” Tom Bittman, vice president and distinguished analyst at Gartner, said in a statement. “The reality of the future IT organization, however, is somewhat a combination. Larger enterprises will continue to have an IT organization that manages and deploys IT resources internally, some of which will be ‘private clouds.'”
Gartner said private cloud services are set to be a stepping stone to future public cloud services as they mature and more services become available that make a hybrid approach (public and private cloud resources) appealing to the enterprise.
Still, Gartner expects large organizations to require only private cloud services for many years, “perhaps decades.”
“Each cloud service will have a different roadmap for the future — some should be focused on tighter integration, intimacy customization and differentiation for the business,” Bittman said. “Others should be focused on independence, easy interfaces, standardization and eliminated customization and are therefore potential cloud service candidates.”
Gartner believes smaller businesses are unlikely to have the skills needed to orchestrate cloud services efficiently and instead will use service brokers that will take responsibility for the overall service-level requirements in the business. They will likely be skilled in specific industries and will be able to monetize their value by having deeper skill in the cloud market than small businesses can muster.
These brokers are also likely to be well-positioned to find the best deals, Gartner said, in what is a rapidly changing market spanning a wide range of offerings.
Article courtesy of InternetNews.com.
-
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
-
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
-
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
-
Top 10 AIOps Companies
FEATURE | By Samuel Greengard,
November 05, 2020
-
What is Text Analysis?
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
-
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
-
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
-
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
-
Top 10 Chatbot Platforms
FEATURE | By Cynthia Harvey,
October 07, 2020
-
Finding a Career Path in AI
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
-
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
-
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
-
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
-
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
-
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
-
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
-
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
-
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
-
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
-
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
SEE ALL
ARTICLES
David Needle is a veteran technology reporter based in Silicon Valley. He covers mobile, big data, customer experience, and social media, among other topics. He was formerly news editor at Infoworld, editor of Computer Currents and TabTimes, and West Coast bureau chief for both InformationWeek and Internet.com.