#cloud-transformation
#cloud-transformation
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#cloud-computing #ai #data-centers #ai-infrastructure #technical-debt #agentic-ai #hyperscalers #cloud-migration
#agentic-ai
Marketing tech
fromAmazon Web Services
10 hours agoFrom hours to minutes: How Agentic AI gave marketers time back for what matters | Amazon Web Services
AWS Marketing's TAA team developed an AI solution that drastically reduces webpage assembly time, enhancing efficiency and content quality for marketing teams.
London startup
fromComputerWeekly.com
4 days agoDatacentre developers tout benefits to local communities, but do they deliver? | Computer Weekly
Datacentre developments are causing challenges for local businesses, raising concerns about energy consumption and community impact despite potential local benefits.
fromTechzine Global
2 months ago4 steps to create a future-proof data infrastructure
A future-proof IT infrastructure is often positioned as a universal solution that can withstand any change. However, such a solution does not exist. Nevertheless, future-proofing is an important concept for IT leaders navigating continuous technological developments and security risks, all while ensuring that daily business operations continue. The challenge is finding a balance between reactive problem solving and proactive planning, because overlooking a change can cost your organization. So, how do you successfully prepare for the future without that one-size-fits-all solution?
Tech industry
DevOps
fromComputerWeekly.com
1 month agoDo neoclouds mean a world where anything is possible? | Computer Weekly
Neoclouds are emerging GPU-as-a-service providers gaining investment and market attention as alternatives to dominant hyperscalers, filling real demand for AI and large language model training infrastructure.
fromInfoWorld
2 months agoThe private cloud returns, for AI workloads
A North American manufacturer spent most of 2024 and early 2025 doing what many innovative enterprises did: aggressively standardizing on the public cloud by using data lakes, analytics, CI/CD, and even a good chunk of ERP integration. The board liked the narrative because it sounded like simplification, and simplification sounded like savings. Then generative AI arrived, not as a lab toy but as a mandate. "Put copilots everywhere," leadership said. "Start with maintenance, then procurement, then the call center, then engineering change orders."
Artificial intelligence
Artificial intelligence
fromInfoWorld
2 months agoThe death of reactive IT: How predictive engineering will redefine cloud performance in 10 years
Predictive engineering enables autonomous, anticipatory cloud operations that prevent outages, optimize resources, and replace reactive war-room operations.
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