How AWS, IBM, Google, and Microsoft Are Shaping the Future of Business (AIaaS)

After completing certifications in the various platforms from IBM, Amazon Web Services (AWS), Microsoft and Google I wanted to take a high level look at what these platforms really mean for organisations. These organisations are offering powerful AI platforms that provide a way to access AI functionality without having to develop and run your own infrastructure and manage your own AI deployments.

What is it?

AI platforms from these tech juggernauts are comprehensive suites of tools and services designed to help businesses leverage the power of artificial intelligence. They typically include:

Machine learning
Natural language processing capabilities
Computer vision tools
Pre-trained models for various applications (and the ability to fine tune or access your own data)
Cloud-based infrastructure for deploying AI solutions

These platforms aim to make advanced technologies accessible to businesses of all sizes without you having to host these systems yourselves – think about this as an “AI Cloud.” Just as cloud computing revolutionised IT infrastructure, systems and applications, AI Cloud services are transforming how businesses access and utilise AI capabilities. They provide:

On-demand AI resources: Businesses can access powerful AI tools and computing power without significant upfront capital investment.
Scalability: Companies can scale their AI operations based on their needs.
Continuous updates: The AI models and tools are regularly updated, ensuring businesses always have access to the latest technology.
Integration with existing cloud services: These AI platforms often integrate with other cloud services, creating a comprehensive system for business operations.

By offering AI as a cloud service, these companies are essentially providing “AI-as-a-Service – AIaaS” making AI capabilities as accessible as traditional cloud computing resources.

What does it mean from a business perspective?

The rise of these AI platforms has significant implications for businesses:

Levelling the playing field: Small and medium-sized enterprises can now access AI capabilities that were once the domain of tech giants and large corporations.
Accelerated innovation: With pre-built models and tools, businesses can rapidly prototype and deploy AI solutions, speeding up their digital transformation.
Cost-efficiency: Cloud-based AI platforms reduce the need for both expensive in-house infrastructure and the need for specialised talent (although usage needs to be monitored.)
Competitive advantage: Companies that effectively leverage these AI tools can gain a significant edge in their respective markets.
New business models: AI enables the creation of innovative products and services, potentially opening up new revenue streams.

What do I do with it?

Here are some steps to get started:

Educate yourself: Familiarise yourself with the offerings from AWS, IBM, Google, and Microsoft. Each platform has its strengths and unique features (e.g. if you have a heavy investment in Microsoft tools, have an Azure presence, use Active Directory then Microsoft’s offering could be a good fit).
Identify use cases: Look for areas in your business where AI could make a significant impact. This could be in customer service, data analysis, or process automation. Maybe it’s something that you don’t like doing.
Start small: Begin with a pilot project to test the waters. Choose a manageable problem and use it as a learning experience; pick part of a process to automate (rather than completely reworking or extending a process).
Build skills: Invest in training for your team. Many of these platforms offer free courses and certifications.
Partner: Consider collaborating with AI experts or consultants who can guide you through the implementation process.
Stay updated: The AI landscape is evolving rapidly. Keep an eye on new developments and be ready to adapt your strategy.
Be aware of the risks: Risks to be aware of, which are common with cloud usage in general, include being aware of the data you are sharing and remaining compliant, vendor lock-in can make transitioning in-house or to another vendor more complex and integration with existing systems and processes.

Remember, the key to success with AI is not just in the technology itself, but in how you apply it to solve real business problems and how people are brought along (OCM in AI Projects). So, assess your needs, explore what each platform offers, and start your AI journey.

What is it?

What does it mean from a business perspective?

What do I do with it?

Further Reading