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Is AI better as a product or a feature? 🤔

(AI the Product vs AI the Feature)

Famous YouTuber, Marques Brownlee 📺

raised this interesting question on his YouTube channel.

Let's explore from an IT perspective:

Does AI work better as a standalone entity or as a system component?

Hi, I'm Alvin, an IT cloud technology coach and life coach. I help like-minded individuals navigate their path in cloud computing careers.

I've also built my ideal IT career that aligns with my interests, achieving work autonomy and time freedom

Let me share the key points from this YouTube content 📹

ChatGPT is a product that we use directly as a service.

We input our questions on the service interface, and it generates text responses 💬

However, with recent announcements, both Microsoft's Copilot+PC and Apple Intelligence

have positioned AI as an operating system feature rather than a standalone product/service.

It can work with text editors, drawing tools, and other software to enhance functionality.

In my view, AI will ultimately be most effective when implemented as a feature.

What do you think about this?

(Feel free to check out the original video if you're interested.)

Marques Brownlee [Channel: Marques Brownlee] (2024, June 21)

AI the Product vs AI the Feature [Video] YouTube. 

From an IT perspective: How should we prepare for the AI era? 🤖

Is AI more effective as a standalone entity or as a system component?

Most would agree that AI cannot reach its full potential working alone. It needs to collaborate with other components to create significant value.

For example, in customer service, chatbots using Large Language Models (LLM) can provide quality service, but they need to be connected to the company's knowledge base to answer questions about specific products or services. They also need to integrate with other systems and customer databases to handle more complex customer requirements.

This integration extends to other areas like social media 📱, e-commerce, retail, finance, marketing, and advertising - all requiring integration with other services and components.

Therefore, AI in the IT world does not exist in isolation.

Cloud Architect vs AI Expert: Which Pays Better? 💰

Which direction should we develop in?

(Several cloud industry newcomers asked me this question.)

Let's compare the typical work situations of these two roles:

**Cloud Architect:** Needs to be on the front lines, understanding client pain points.

Provides overall solution design and architecture.

The architecture design is crucial and most significantly impacts the system's success or failure.

Of course, a cloud architect doesn't control the entire design alone - they need to consider input from various experts (including AI experts).

**AI Expert:** These specialists generally work more behind the scenes, with a more focused scope.

As I've shared before, outstanding IT professionals can bridge the gap between people and technology.

So, does this mean cloud architect is the right choice?

Some friends mentioned, "But I'm really interested in AI, and it's clearly a major trend!" 📈

Why not become a Cloud Architect specializing in AI? It's the best of both worlds!

A good Cloud Architect will have their own area of expertise.

You could be a Cloud Architect who's an IoT expert, excelling in large-scale IoT architecture design.

Or you could be a Cloud Architect strong in software development, with superior software architecture design skills.

Or even a Cloud Architect who's a top-tier security expert, particularly skilled in designing system security.

Each has its unique characteristics!

What if you don't want to be a Cloud Architect?

You can apply the same logic to find your suitable path.

The key points are:

- Having a broader perspective.
- Being able to bridge the gap between customers and technology.

I believe there's always more than one path to success.

However, there's one situation we need to avoid - becoming a cloud architect without a solid technical foundation!

This would be like having an IT Project Manager with no technical experience at all.

When it comes to making design and strategy decisions, how can one properly evaluate the team's proposals and approaches without technical knowledge?

I've seen this situation far too often.

I sincerely hope this doesn't become common among cloud architects 🙏

That's all for today's sharing.

See you in the next sharing, have a great day!

⭐️⭐️⭐️

Hey friends who want to make their mark in cloud and IT! 🚀

Feel free to leave your questions in the comments below. Let's learn and grow together! 💡

Remember: Every IT expert started as a beginner. Stay passionate and keep learning! ✨