In this video, we will talk about how you can use cloud AI for creating AI driven decision for business
growth.
In this case, we can move from our basic models like sonnet and Haiku to Opus, which can give more
deep reasoning and can give us more details.
For example, we have a pretty straightforward task to analyze current trends in the sustainable fashion
industry.
Of course, we can move with this task pretty fast with sonnet, but I highly recommend to move to opus
to get more reasoning and to better understand how AI works and, uh, what results we are going to
use in this case.
So we have the trends.
Like I see them, we can ask about the reasoning of what is the main reason why it was sorted in this
way.
Uh, we can play with these trends.
We can ask about, uh, searching gaps in these trends to create the product that will, uh, cover
the pain in exact, uh, A pain point in this story.
So we have a lot of opportunities how we can implement Claude three opus, which is available just in
paid version.
In Cloud Pro.
You can't use it in free version, so feel free to test it and implement in further approach.
We can ask to predict the revenue growth, and it's also better to do on the some actual data.
If you can't fit AI actual data and it's okay, it's with your compliance, you can just ask to take
some open source data.
For example, in digital marketing we use a lot SimilarWeb data, which gives web analytics on all websites,
and we can compare different niches.
We can ask to predict the revenue growth or some subscription software.
And here he will give us the basic steps that will help us to determine what data do we need to make
such prediction.
Maybe we will get some formulas.
Maybe we need some frameworks.
The right metrics, the right funnels, etc. and I definitely love to talk with Claude three opus.
It's amazing in such discussion when you need reasoning, when you need some additional details, and
it can be really beneficial in such process.
Um, we are moving forward, uh, for the next request, we can move to faster model.
We can move to back to sonnet.
Uh, based on the recent customer preference, we can ask suggest three innovation product ideas for
a plant based food brand.
Definitely opus.
We can give us, uh, pretty good results here, too.
Uh, but I see that, uh, Claude Sonnet.
It can be also pretty good here.
And share with us some good practices, ideas, etc..
Uh, we can move forward and ask to AI to analyze the supply chain operations for an e-commerce business,
and it will give us, uh, the next stage, the next bottleneck, and we will get here, uh, some best
practices that we can implement in our further approach.
As you see, it's pretty amazing.
We have in one place so many different ideas and, uh, it gives us flexibility to better implement
these, to try different options.
And I think that it can be easily adopted for any niche and any vertical.
The last but not the least among our process is about identifying potential risks for a real business
so we can move forward and ask the prompt like this.
And here we are.
We have the understanding of what are the international retail expansion, risk assessment and mitigation
strategies, key risk in international retail expansion, etc..
So all in one place we have all them on the stage.
We can double check with them.
We can add something, we can ask questions, fix details, etc. so try our prompts.
You can find them in additional materials to this lesson and use our prompt library.
Don't forget to adopt them.
Ask any questions in the Q&A and I will see you in the next video.