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Alan Kay's saying that the best way to predict the future is to create it resonates through the best cloud computing and enterprise software predictions for 2014. Constraints that held start-ups back from delivering sophisticated new apps and services are disappearing fast.  The dynamics of one of my favorite books

Inside cloud providers data centers and offices lies a fundamental business risk brought about by on-demand flexibility, a risk which providers are more than keen to place back in the hands of its customers.

The emergence of the networked information economy is unleashing two powerful forces. On one hand, easy access to high-speed networks is empowering individuals. People can now discover and consume information resources and services globally from their homes. Further, new social computing approaches are inviting people to share in the creation and edification of information on the Internet. Empowerment of the individual-or consumerization-is reducing the individual's reliance on traditional brick-and-mortar institutions in favor of new and emerging virtual ones. Second, ubiquitous access to high-speed networks along with network standards, open standards and content, and techniques for virtualizing hardware, software, and services is making it possible to leverage scale economies in unprecedented ways. What appears to be emerging is industrial-scale computing-a standardized infrastructure for delivering computing power, network bandwidth, data storage and protection, and services. Consumerization and industrialization beg the question "Is this the end of the middle?"; that is, what will be the role of "enterprise" IT in the future? Indeed, the bigger question is what will become of all of our intermediating institutions? This volume examines the impact of IT on higher education and on the IT organization in higher education.

Interesting view on depermeterisation. Hoff's view is that the protected assets are in smaller clumps and still have a perimeter.

Clouds Software virtualization using software-defined data centre technology that gives agility, control, and choice. Contact Clouds solutions for Desktop management, Office 365 and exchange and active directoy

Amazon Elastic MapReduce is a web service that enables businesses, researchers, data analysts, and developers to easily and cost-effectively process vast amounts of data. It utilizes a hosted Hadoop framework running on the web-scale infrastructure of Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Simple Storage Service (Amazon S3).

Although Server-based computing incurs capital costs, but it can offer the best computing environment for the users. Actually, the server based computing offers the IT managers with much secured, manageable and effective computing model.

More than 70% business enterprises rely on mainframes as they deliver proven qualities of service, advanced workload optimization and efficient resource utilization. The large-scale computational capabilities and the ability to expand capacity on demand make Mainframes an all time favourite computing environment.

With the development of larger compute densities on smaller chips it's fair to ask whether the data center colocation market is growing or shrinking in demand for data center space. One driving technology behind the development of high density, small footprint data infrastructure environments is cloud computing.

Cloud to take up 90% of IoT data by 2020, says IDC. IDC's FutureScape report reveals the latest findings and predictions on the Internet of Things (IoT) between 2015 and 2020. CBR highlights 10 need-to-know predictions from the report's findings. 1.

Running R on Amazon's EC2