Cloud Computing: Paving the way for a more secure and digitised 2019

Source- arabianbusiness.com As we usher into the tail end of the first quarter of 2019, it seems appropriate to consider a quick check-in on our resolutions. One that comes to mind is that three-quarters of Middle East organisations that have yet to embrace the cloud, plan to do so this year. That’s just one of the resolutions uncovered by a Microsoft survey that studied insights from 1,300 technology decision-makers from across the region. The message is clear: Middle East organisations are

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Microsoft ‘Intelligent Cloud Hub’ to build AI-ready workforce in India.

Source- thenewsminute.com Microsoft on Thursday announced a three-year “Intelligent Cloud Hub” collaborative programme in India to empower institutes to skill students in Artificial Intelligence (AI) and Cloud technologies. The dedicated AI infrastructure and Internet of Things (IOT) hub programme will equip selected research and higher education institutions with AI infrastructure, build curriculum and faculty capability to skill students in AI and cloud technologies, the company said in a statement. India is the first country to have such a programme under which

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Bringing The Future of DevOps to the Indian IT Industry

Source – entrepreneur.com In the ever-changing world of technology, the need to be agile is crucial. Businesses are innovating at a fast pace to keep up with the demands of their consumers. In times of such rapid innovation, the need to have successful and speedy software development is of primary importance. And here’s where DevOps comes into the picture. DevOps brings together software development and software operation for faster processes; it prioritises the organizational changes required for the same. Bringing together

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8 ways Artificial Intelligence can improve DevOps

Source – hub.packtpub.com DevOps combines development and operations in an agile manner. ITOps refers to network infrastructure, computer operations, and device management. AIOps is artificial intelligence applied to ITOps, a term coined by Gartner. Makes us wonder what AI applied to DevOps would look like. Currently, there are some problem areas in DevOps that mainly revolve around data. Namely, accessing the large pool of data, taking actions on it, managing alerts etc. Moreover, there are errors caused by human intervention. AI works heavily with data and can help improve DevOps in numerous

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SnapLogic Extends DevOps Reach via GitHub

Source – devops.com SnapLogic has extended the reach of its SnapLogic Enterprise Integration Cloud into the realm of DevOps by making it possible to store integrations creating using Snap connectors in GitHub. The company also announced integration with the DC/OS platform from Mesosphere along with a new service catalog and several updates to the Iris artificial intelligence (AI) software it uses make recommendations concerning the construction of integration pipelines. At the same time, SnapLogic has enhanced both its monitoring tools for application programming

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Applying machine learning to DevOps

Source – jaxenter.com DevOps methodologies are rapidly increasing and generating vast and diverse data sets across the life cycle of entire application including development, deployment, and performance management. Only a robust analysis and monitoring layer can particularly harness this data for the ultimate DevOps goal that is end-to-end automation. The rise of machine learning and its related capabilities, such as artificial intelligence and predictive analytics, has pushed organizations to explore implementing new analysis models that mainly rely on mathematical algorithms.

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DevOps 101: Adopt Continuous Innovation

Source – informationweek.com DevOps requires some hard work and tough choices, but in the end can keep a business competitive and innovative. I’ve spent a good portion of my career interacting with DevOps, but from an infrastructure and data center perspective. In that role, my goal was to eliminate legacy components from infrastructure so that the entire process could then impact both DevOps and the business overall. Today, my focus has shifted into the world of cloud, DevOps, and advanced technology

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When AI meets DevOps: Getting the best out of both worlds

Source – cloudcomputing-news.net DevOps has been widely embraced by businesses under pressure to get competitively advantageous digital deliverables to market at the fastest possible cadence—especially given the reality of limited coder headcount and the need to rigorously avoid brand-toxic snafus in the customer experience. Artificial intelligence (AI), in stark contrast, is a potentially transformative digital discipline that is still very new to most enterprise IT organizations. But while it’s certainly important that CIOs nurture AI adoption with appropriately resourced pilots, it’s

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How Artificial Intelligence, Machine Learning Can Help DevOps

Source – devops.com Artificial intelligence (AI) and machine learning (ML) can help the humans in DevOps break free from focusing on simple activities. One aspect of DevOps is automating routine and repeatable actions, and AI and ML can perform these activities with enhanced efficiency to improve the performance of teams and business. There are algorithms that can perform many operations and procedures, allowing those in DevOps to execute their part effectively. This article discusses how DevOps engineers can use AI and

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Digital Transformation Strategy? Think Cloud

Source – devops.com A few years back companies used innovation and digital transformation mostly to differentiate themselves and to stay competitive. The drastic growth in digital and cloud computing over the last couple of years have changed this mindset. Today, organizations have to be innovative and leverage the latest technologies just to sustain and stay in business. Enterprises that implement online retail business, online banking and several other online services aren’t considering those channels simply as another route to increase their

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Best Practices for Application Security Testing in the Era of DevOps and AI

Source – devops.com Application security testing is no easy feat. And yet, it’s usually the first topic that most articles about application security address. The reasons are simple: As the pace of application development techniques (and their inevitable vulnerabilities) evolve, AppSec personnel have found themselves caught between the desire to keep pace with their management of security testing requirements and their ability to allow the developer teams to operate in the modern, fast-paced ecosystem of DevOps and artificial intelligence. To better

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DevOps Improving Outcomes through Improved Business Processes

Source – digitallearning.eletsonline.com There has been a lot talked about artificial intelligence and automation however, not much has been written about DevOps, which is a software engineering culture and practice that aims at unifying software development (Dev) and software operation (Ops), says Anand Sahay, CEO, Xebia, in conversation with Elets News Network (ENN). Why is there a need for courses in DevOps? Digital has completely changed the way people want to do business today. It is forcing businesses to adopt digital technologies and

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Golden online era dawns for cloud, big data, AI

Source – ecns.cn China’s digital economy, or D-economy, has entered a “golden era” and has become a new economic growth engine, said an expert from the China Academy of Information and Communications Technology, a government think tank. The internet, and technologies like cloud computing, big data and artificial intelligence, or AI, are helping transform several industries and sectors, thereby driving economic growth, he said. “The country’s digital economy has stepped into a new phase, with the focus shifting from high-speed growth

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Cloud Computing and AI transform the Banking sector

Source – cioreview.com With the adoption and development of cognitive computing capabilities, the way customers interact with their banks will ultimately change for good. Artificial intelligence and cloud computing will empower banks to efficiently redefine the workflow, create innovative products and services, and transform customer experiences. Many banks have adopted AI, infusing it into their customer experience. This development is witness to AI’s role in banking becoming increasingly crucial and visible over the next few years. The introduction of cloud

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List Of Top 10 Technologies To Learn In Near Future If You Are An IT Guy

Source:- devopsengineersclub.com & Wikipedia Now a days, lots of students of IT are moving to learn programming languages such as PHP, Java, ASP.NET, Android and so on. But there is a world apart from the programming that needs to be explored. I am not discouraging you for programming. Programming should not be ignored if your are a IT graduates. You must have to be good at any of the programming languages such as python or Java or PHP. But apart from

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These are the tech skills you need to survive in Singapore banking: adapt or die

Source – efinancialcareers.com Barely a week goes by without a major bank announcing a restructure, transformation programme, or rebalancing of their strategy, especially here in Asia. Despite this, banks are still investing heavily in technology in Singapore, but the mix of skills they need is changing. As they seek to achieve digital transformation to engage better with customers and hold off fintech start-ups, they need technology people who can collaborate with peers in other professional disciplines, both within the bank and with vendors,

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Seven steps to move a DevOps team into the ML and AI world

Source – techtarget.com Nobody questions the potential for machine learning and artificial intelligence to revolutionize DevOps productivity and business efficiency as a whole, really. An invisible hand, however, keeps organizations from seeing ML and AI to their full potential. There are seven basic rules to implement ML and AI in real-life DevOps situations. Done right, ML/AI and DevOps can turn enterprises into digital attackers that release higher-quality software faster and at lower cost. To release on time and within budget, there

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How AI will influence the world of cloud-based collaboration and conferencing

Source – cloudcomputing-news.net Those who attended Cloud Expo Europe earlier this week took their opportunity to assess the next level of cloud services, ranging from blockchain, to artificial intelligence (AI) and machine learning. The cloud underpins these technologies and enables them to flourish, while as this publication has previously reported, the M&A cycle has been lit up by it. But what are some of the practical applications for cloud-enabled AI? Lifesize, a cloud-based conferencing hardware and software provider, is exploring how

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How AI will impact software development

Source – jaxenter.com The AI industry is never going to run out of the need for tech-savvy developers who can think out of the box. This technology is here to help us create better software which is safer than software created under traditional environments. In this article, Alycia Gordan explains why AI will teach developers a new mindset about the field they have been most passionate about. There is a 50 percent chance that machines will outperform humans in all tasks

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Predictions 2018: How DevOps, AI Will Impact Security

Source – eweek.com DevOps and agile development, new-generation processes and techniques that work hand in hand in developing, testing and distributing software of all types, have been in the IT business news continually for about the last half-dozen years. And there are good reasons why. We at eWEEK are constantly being pitched by thought leaders with new ideas about this relative sea change in the business, in addition to companies with new or improved tools that facilitate the automation that’s inherent

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