Private cloud or virtualization automation? The private cloud trend started around six years ago when virtualization deployments were growing rapidly and maturing. During such time, virtualization automation became the goal in larger deployments for many organizations.

The majority of private cloud projects have been experiencing problems because of the transformational nature of cloud computing on both the provider and the user. Hence, most organizations have shifted…

Cloud ComputingTechnology
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Buckle up for Big Data There is no doubt today that big data has arrived. More than a few organizations are experimenting with the kind of insights they might be able to get with so much information. These organizations must understand the intricacies of foundation technologies used to build the infrastructure to make sense of the data.

We are already experiencing a gap between companies that understand and exploit big data and companies that are aware of it but do not know what to do with it….

Big DataTechnology
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Banking technology – 2016 snapshot   Money matters, and therefore does the banking industry too. It is flourishing, focusing on technological advancements. The trends in the banking industry change year after year with better innovations, increasing number of startups, mergers and acquisitions and customer expectations.

According to a study, 84% of banks globally have increased their investment in innovation in 2014, as compared to 13% in 2009. These figures clearly describe the importance that technology…

Technology
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Importance of adaptive sourcing strategies Innovation is one of the most popular subjects today in business and technology. It is expected that about 70% of all businesses will modify their sourcing strategies in the near future so that costs can be lowered and overall quality and flexibility can be increased.

Data and analytics leaders must become enablers of the expansion of analytics throughout the organization. Instead of trying to stop land-and-expand strategies, and in turn hinder the natural progression of…

BlockchainDigital Business
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Evaluating existing systems for Cloud IaaS  More and more enterprises today have begun to rely on cloud providers for hosting mission-critical applications. This has raised the stakes for selecting the right cloud service. We discuss here a few key factors for evaluating cloud IaaS services.

The cloud computing market is exploding with possibilities as new players emerge and take the market forward with them. Hence, organizations need to evaluate their existing cloud IaaS systems to…

Cloud ComputingTechnology
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4 industries that use the algorithmic business model successfully A company that is built around smart algorithms that define its processes and deliver customer services is an algorithmic business. Unlike big data, algorithms define action and have real value. Dynamic algorithms are at the core of the future digital business.

There are organizations that generate massive amounts of data, analyse them and then leave the decision making to humans. Then there are organizations that use algorithms that operate independent of…

Digital BusinessIOT
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5 things CDOs should do when preparing for Algorithmic business The growth of the digital economy today depends on algorithmic business to a great extent. But it still remains difficult for IT, data and business leaders to work out what to do and how. Here we look at some things CDOs should know and understand before stepping into an algorithmic business.  

Organizations, in the coming years, would not be valued just for their big data, but also for the algorithms that turn data into actions and, ultimately, improve the customer experience….

Digital BusinessTechnology
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