Swipe to see each slide.
The short answer
Cloud AI platforms are services that let you use advanced AI models over the internet, running on the provider's servers, from companies such as OpenAI, Amazon Web Services, Google Cloud, Microsoft Azure and Anthropic. You need no hardware or maintenance, and because providers differ in strengths, compare them against the job you need done.
Three things to remember
- 01You send a request, the platform runs the model on its servers, and you get a response.
- 02Providers handle infrastructure, security, scaling and updates, so you need no hardware or setup of your own.
- 03Example: a manufacturer uploads its product manuals so staff can ask questions about procedures, parts and maintenance.
Every slide, in words
- 01
What are cloud AI platforms?
Powerful AI models and tools over the internet.
Cloud AI platforms give you access to advanced AI models, tools, and computing power through the internet, with no hardware, setup, or maintenance.
Instead of buying servers or building everything yourself, you use a provider's platform to run AI models and build real solutions for your business.
Key idea: You get top-tier AI capabilities without the complexity or cost of managing infrastructure.
- 02
How cloud AI platforms work
You send a request. They handle the rest.
You send a request: You enter a prompt or use an app or API.
The platform runs the model: Your request is processed on powerful servers in the cloud.
You get a response: The model returns text, images, or other output in seconds.
All the complex infrastructure, security, scaling, and updates are handled for you.
- 03
Popular cloud AI platforms
Different providers. Different strengths.
OpenAI
GPT models
Image generation
Embeddings
Developer tools
Great for text, images, and general AI applications.
Amazon Web Services
Multiple models
Enterprise tools
Scalable infrastructure
Wide range of AI services
Best for businesses that want a full set of cloud and AI tools.
Google Cloud
Gemini models
Data and AI tools
Analytics
Enterprise integration
Strong for data analysis, search, and enterprise solutions.
Microsoft Azure
OpenAI models
AI services
Business tools
Enterprise integration
Great for businesses already using Microsoft tools.
Anthropic
Claude models
Long-context
Safety focused
API access
Known for reliable, detailed responses and safety.
- 04
Why businesses use cloud AI platforms
Big capabilities. Real-world value.
No hardware required: Use powerful AI models without buying or managing servers.
Scales with you: Handle small projects today and enterprise-level workloads tomorrow.
Always up to date: Get the latest models and features without doing any upgrades.
Wide range of tools: Text, images, audio, video, data analysis, and more, all in one place.
You focus on solving business problems. They handle the infrastructure.
- 05
A real-world example
A small business using a cloud AI platform.
A manufacturing company uploads product manuals to a cloud AI platform.
The AI model answers employee questions using the information.
Employees get fast, accurate answers about procedures, parts, and maintenance.
Other examples
Create marketing content
Analyze customer feedback
Generate product images
Build a custom AI assistant for your business
- 06
The bottom line
Cloud AI platforms make AI simple and accessible.
Access powerful AI models over the internet
No hardware, setup, or maintenance
Different providers with different strengths
Scales from small projects to enterprise needs
Always up to date with the latest models and tools
Real business value across many use cases
Key takeaway: Cloud AI platforms give you the power of advanced AI without the complexity, so you can focus on what matters: solving real problems in your business.
More in part 2
- 1What is generative AI?Written
- 2What is a foundation model?
- 3ChatGPT, Claude, Gemini and Copilot: what's the difference?Written
- 4Free or paid AI: what do you actually get?Written
- 5What is a token?
- 6What is a context window?
- 7What is inference?
- 8What is temperature?
- 9What is a system prompt?
- 10What is prompt engineering?
- 11What does a good prompt look like? Ten you can copyWritten
- 12How do you use AI for email and everyday writing?Written
- 13How do you use AI to summarise documents and meetings?Written
- 14How do you research with AI without getting burned?Written
- 15What are custom instructions and projects, and why set them up?Written
- 16What is an AI hallucination?
- 17What is multimodal AI?
- 18What are cloud AI platforms?You are here
- 19How does AI actually learn?
- 20What is chain of thought?
- 21Why does thinking longer make it smarter?
- 22What is reasoning effort?
Next step
Where does this fit your business?
Six quick questions about your business, then your AI plan: what to start with, what a person still checks, and the lessons that go with it. Or bring it straight to a free thirty-minute call.