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Top 10 cloud predictions for 2017

By Paul Lyons - Friday, April 21st, 2017

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Even though enterprise-level adoption of the cloud is now commonplace among several organisations and industries, it continues to evolve at staggering speed. As such, keeping track of new technologies isn’t easy, especially if you are looking to capitalise on the cloud’s advantages.


Nonetheless, here are some cloud predictions and possibilities for 2017.


1. Mission-critical workloads


Migration of enterprise production workloads has stalled because providers lack the talent to support custom portfolios and can’t offer sufficient control to self-manage service-level agreements. However, don’t be surprised to see things change soon in this regard.


2. More IT processing


Previously, security concerns such as data privacy and control issues prevented major cloud investment. But now that established cloud vendors have the expertise and resources to deploy layers of defence, more companies will put their faith in the cloud for IT processing.


3. A reduction in corporate-owned data centres


With businesses now focusing their IT spending on cloud computing, chances are they will migrate workloads from corporate-owned data centres to provider-built facilities as well.


4. Giving precedence to digital transformation


In order for businesses to expand and innovate, they must give precedence to digital transformation. Along with embracing cloud-ready tools, this move can also create new value and help overcome urgent challenges.


5. The rise of AI


Artificial intelligence will become even more real in 2017, as machine-learning algorithms are developing the ability to find patterns in enormous volumes of digital information.


6. More ‘visual’ coding


Developers often struggle to deliver applications quickly enough to take advantage of timely opportunities due to their workloads. However, the emergence of ‘visual’ or ‘low’ coding will facilitate the simple development of enterprise applications.


7. Innovation empowerment


Even though several businesses are looking to evolve existing businesses practices, the digital economy provides more opportunities to launch new, innovative services based on technology-enabled value.


8. The emergence of intelligent applications


With the ability to import, analyse, and interpret high volumes of data without human intervention, intelligent applications can recommend individual actions and streamline business tasks.


9. Migration of systems management


Oracle predicts that by 2020, 60 per cent of IT organisations will have moved systems management to the cloud, as this can eliminate data silos and help embrace machine learning.


10. Migration of DevTest


2017 could also see the widespread migration of DevTest thanks to new application development capabilities, including low-code approaches and tools for micro services, as well as support for programs and languages.

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