Cloud Computing

Editor’s note: Today’s post is by Syed Mohammad Mujeeb, CIO and Arsalan Mazhar, Head of Infrastructure, for JS Bank a prominent and rapidly growing midsize commercial bank in Pakistan with a strong national presence of over 293 branches. JS Bank, always at the forefront of technology, deployed a Google stack to modernize operations while maintaining […]

At Deutsche Bank Research, the core mission of our analysts is delivering original, independent economic and financial analysis. However, creating research reports and notes relies heavily on a foundation of painstaking manual work. Or at least that was the case until generative AI came along. Historically, analysts would sift through and gather data from financial

As a Python library for accelerator-oriented array computation and program transformation, JAX is widely recognized for its power in training large-scale AI models. But its core design as a system for composable function transformations unlocks its potential in a much broader scientific landscape. Following our recent post on solving high-order partial differential equations, or PDEs,

Today, we are excited to announce the 2025 DORA Report: State of AI-assisted Software Development. Drawing on insights from over 100 hours of qualitative data and survey responses from nearly 5,000 technology professionals from around the world.  The report reveals a key insight: AI doesn’t fix a team; it amplifies what’s already there. Strong teams

This post was co-authored with Owen Janson, Audra Devoto, and Christopher Brown of Metagenomi. From CRISPR gene editing to industrial biocatalysis, enzymes power some of the most transformative technologies in healthcare, energy, and manufacturing. But discovering novel enzymes that can transform an industry — such as Cas9 for genome engineering — requires sifting through the

Artificial intelligence is rapidly transforming software development. But simply adopting AI tools isn’t a guarantee of success. Across the industry, tech leaders and developers are asking the same critical questions: How do we move from just using AI to truly succeeding with it? How do we ensure our investment in AI delivers better, faster, and

Google Kubernetes Engine (GKE) is a powerful platform for orchestrating scalable AI and high-performance computing (HPC) workloads. But as clusters grow and jobs become more data-intensive, storage I/O can become a bottleneck. Your powerful GPUs and TPUs can end up idle, while waiting for data, driving up costs and slowing down innovation. Google Cloud Managed

Getting ahead — and staying ahead — of the demand for AI skills isn’t just key for those looking for a new role. Research shows proving your skills through credentials drives promotion, salary increase, leadership opportunities and more. And 8 in 10 Google Cloud learners feel our training helps them stay ahead in the age

As cloud infrastructure evolves, so should how you safeguard that technology. As part of our efforts to help you maintain a strong security posture, we’ve introduced powerful capabilities that can address some of the thorniest challenges faced by IT teams who work with Google Compute Engine (GCE) virtual machines and Google Kubernetes Engine (GKE) containers.