Cloud Computing | News, how-tos, features, reviews, and videos
If your goals are high-velocity software development and frequent delivery of working builds to production, you need continuous integration/continuous delivery (CI/CD). The cloud is the best place for CI/CD. This guide explains the tools.
Rapid cloud adoption has left many enterprises needing help with their technology infrastructure. These simple rules will keep the pain to a minimum.
A brief guide to data visualization, data analytics, and data science platform capabilities and differences, and seven steps to selecting the right data platform for your needs.
Free open-source framework integrates with scads of vector stores, LLMs, and data sources and works for Q&A, structured extraction, chat, semantic search, and agent use cases.
AI as a service (AIaaS) provides customers with cloud-based access for integrating and using AI capabilities in their projects or applications without needing to build and maintain their own AI infrastructure. Here are your options.
There is widespread fear in the securities and finance sectors that using generative AI will force companies to rely on giant cloud companies.
New platform product supports transactional, analytical, and AI workloads.
Microsoft delivers a one-stop shop for big data applications with its latest updates to its data platform.
Oracle will interconnect with Google’s cloud to make its database services more widely available, while Microsoft is extending its Azure services into Oracle’s cloud to give OpenAI access to more capacity.
These days, organizations implementing data warehouses often consider creating the data warehouse in the cloud rather than on premises. This guide explores the options, including data lakes, that IT can consider in its service choices.
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