A Microsoft survey of 1,300 regional technology decision-makers reveals that three-quarters of Middle East organisations plan to adopt cloud computing in 2019, driven by rising cybersecurity threats and growing AI investment.
Microsoft announced a three-year Intelligent Cloud Hub programme in India to equip higher education and research institutions with AI infrastructure, faculty training, and cloud technology curricula.
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AI is reshaping DevOps by tackling its most persistent pain points — from alert fatigue and root cause analysis to predictive failure detection and intelligent automation. Here are eight concrete ways AI can strengthen your DevOps practice.
SnapLogic added GitHub support for storing Snap connector integrations, announced Mesosphere DC/OS compatibility, and updated its Iris AI engine to build pipelines from both ends—bringing enterprise integration closer to mainstream DevOps workflows.
DevOps pipelines generate enormous volumes of log and telemetry data. Machine learning offers a practical path to making sense of that data—from anomaly detection to root-cause analysis—but adoption requires more than plugging in a vendor tool.
DevOps is far more than a development methodology — it is a cultural shift, a philosophy, and a practice that enables continuous integration, delivery, and innovation. Here is how to get started.
AI and DevOps are two of the most influential forces reshaping enterprise software delivery. Here is why connecting them—rather than keeping them in separate silos—is essential for realising the full value of both.
AI and ML are reshaping DevOps by automating routine tasks, improving data accessibility, and accelerating decision-making. Learn how your team can apply these technologies to improve efficiency and drive real business value.
AI, big data analytics, and IoT are reshaping how organizations compete. Learn why a cloud-first strategy is the essential foundation for any serious digital transformation initiative.
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DevOps is reshaping how software is built and delivered. Anand Sahay, CEO of Xebia, explains why DevOps education matters, what career paths it opens, and how India’s tech industry is evolving.
China’s digital economy generated 27.2 trillion yuan in 2017, growing at 20% year-on-year. Experts from CAICT say cloud computing, big data, and AI are transforming industries and positioning China as a global technology leader.
Artificial intelligence and cloud computing are reshaping banking — from automated customer service chatbots to analytics-driven workflows. Here is what DevOps and engineering teams in financial services need to understand.
Beyond traditional programming languages, a new wave of technologies is reshaping the IT industry. Here are 10 high-demand areas every IT professional should consider adding to their skill set.
Banks in Singapore are still investing heavily in technology, but the skills they want are shifting fast. Here is what banking technologists need to thrive in an era of digital transformation, DevOps, and AI-driven change.
Integrating machine learning and AI into DevOps workflows doesn’t have to be an all-or-nothing leap. Follow these seven practical rules to adopt ML/AI incrementally, reduce risk, and unlock real productivity gains.
From real-time transcription to machine-vision engagement tracking, AI is reshaping how teams meet, collaborate, and communicate in cloud-based conferencing environments.
Artificial intelligence is reshaping software development—from automated testing and smarter code suggestions to stronger applications and an entirely new developer mindset. Here is what every DevOps engineer needs to know.
Industry thought leaders weighed in on what 2018 would bring for DevOps, AI, and security. From the rise of DevSecOps to the forgotten database problem, here are the key predictions that shaped the conversation.
