- Total control over deployed applications
- Elastic resource consumption based on real needs
In a podcast for TechTarget, William Toll, vice president of ProfitBricks, observes that even in 2015, 85% of applications still reside on-premises in the world's 8.6 million data centers. In the cloud's early days, moving an application to the cloud meant adapting it, a huge challenge for corporations with thousands of applications. Many simply could not run in a first-generation cloud.
The panel of experts included Gino Thielemans, Head of IT Supervision, National Bank of Belgium; Noémie Papp, Legal Adviser, Consumer Affairs and Coordinator Digital issues, European Banking Federation; and Bruno Schroder, National Technology Officer, Microsoft. It was moderated by Florian Damas, Alcatel-Lucent, and Vice Chair, Cloud Council, DIGITALEUROPE.
Frost & Sullivan’s surveys of senior IT management show that cloud adoption accelerated in 2014. More than 50% of US-based enterprises are now using public cloud to some degree. And while Europe is around a couple of years behind the US, infrastructure-as-a-service (IaaS) spending is still growing at nearly 40% and will exceed $10 billion by 2019.
For the past few years everyone has marked-out a constant increase in public and private clouds. Whether to adopt a public cloud approach (off-premise IT capability or application, provided by others) or go for private cloud (on-premise enablement of cloud possibilities with existing IT) has always been an incensed topic for debate throughout the IT industry and the business.
With employees across the company empowered with greater access to technology, the tech expertise inside your business is no longer limited to the IT department. In many businesses, Sales and Marketing, HR and Finance are leading the discussions, with Line of Business (LOB) specific insight into the cloud solutions that can help drive their departments forward.
Far and away, the industry that pops up the most in discussions of big data is health care. It’s not surprising, if you think about it. Lots of disparate sources of data, much of it unstructured. An industry dying to become more cost-effective – or, at least, less wasteful. And an onslaught of new devices designed to automate the process of collecting data, on order to keep professionals from having to be on hand to do so.
Amazon Web Services turned a lot of heads recently when it launched a machine learning platform aimed at making predictive analytics applications easy to build and run, joining cloud juggernauts Microsoft and Google with similar ML offerings. It turns out the cloud is very well-suited for this critical type of big data workload. Here are five reasons why.
Banks are going through difficult times. This is an era of sheer regulatory pressures and record monetary fines amidst switching customer expectations & loyalties. While these issues are important, there is yet another force challenging the traditional models and is shaping the current banking environment and it is ‘Digital Disruption’.
After years of IT work to support major merger and acquisition (M&A) activity, global chemicals company Solvay is now focusing on innovation to drive more internal efficiency. The Belgium-based firm, which operates in 55 countries, saw its workforce double from 15,000 to 30,000 in 2011 after it acquired chemicals company Rhodia. As a result, Solvay had to make changes and improvements to its IT set-up.
Google launched a couple of updates to its cloud-based big data products at the Hadoop Summit in Brussels on 16 April. These included the launch of the open beta of Cloud Dataflow, Google’s new service for processing huge amounts of data, as well as an update to BigQuery, which will make the company’s bid data database service available in Google’s European data centers and introduces row-level permissions.
At the Cloud Plugfest December 2014 in London, Primeur Magazine (original article) had the opportunity to interview Alan Sill from Texas Tech University. Alan Sill is Director of the National Science Foundation Cloud and Autonomic Computing Center in the USA.