it will help you understand what can be done
and what cannot be done when you formulate your problem.
Because if you understand what exactly is contained
on the blockchain, sometimes in more detail,
you can find very useful things that
can be used for many problem solving.
I know many fields when you have this opportunity, right?
In many fields, you already get two data in a sort of way,
It's already costumized, even in finance, right?
Many services can provide.
But you have to, it's pretty expensive,
and sometimes you don't get exactly what you wanted.
But here you have this chance to go and look
at the raw stream of data and exactly what it contains
And it gives you a lot of insight.
So I would add this as another advice.
When you work on blockchain, use this power of the blockchain.
Connect to it, look at what it contains.
What this database contains, the blockchain.
Yep, amazing feedback on this one.
That actually brings to my next question.
But before that, I think this is kind of like the spotlight
for other one-end ciphers as well,
because this question is amazing, just for business
What are the key takeaways they should keep in mind?
I think what we also just scratched on the surface
in the beginning of the talk is really automation
and being able to then assess any kind of data or workflows
So let's say if there is a marketing manager
and he or she needs to provide content
for the editorial calendar, let's say on a weekly or even daily
base, it really makes sense to involve AI there, right?
Because in the end, it's really repetitive.
And the AI actually helps you to generate any kind of content
if you do the prompt engine, the prompting well.
So this can actually count for any department, right?
It could be financial analysts for modeling financial data
and then evaluating certain or making certain predictions
actually, let's say even on the stock market.
So I think for any industry or any department,
yeah, there are certain aspects that you can use AI for.
And now it's really the challenge
to in all this like sea of AI tools and models
to really find the ones that are suitable for you
and like to really make a, let's say
have a portfolio of different AIs that you are using.
And these AIs will really help you to drive efficiency,
like to, I don't know, probably in a company
that like 20, 30 years ago needed, I don't know,
50 people can now easily cope with everything
with like 15, 20 people if they are using AI in the right way.
So I think it's really about efficiency
and awareness of the possibilities of the AI tools.
Is there anyone else want to add anything to it?
Yeah, I mean, I totally agree with Adrian.
Like let's say for any company, I
recommend like if they want to start with choosing AI,
start small and then try to scale it gradually.
Suppose, let's say in terms of tools,
instead of choosing a particular tool which
has like large domain data, I recommend
them to use like domain specific LLMs today
because they will be more accurate in terms
And also you could further increase your productivity
compared to what you're using at a bigger LLMs, I can say.
Maybe I would add just that before going
into expensive infrastructure, big pipelines,
it's important to have a clear business use case.
Because this is what happens sometimes with like trending
People want to jump on the wagon and they say,
yeah, we're going to put the model.
We'll do all of everything we want.
But you need to, first of all, have a clear business case
and maybe then consult with an expert
or do a small scale POC, like Raja said,
before you go into adventures that are expensive in both time
So there is a lot that can be done.
But because of the trendiness and the flashy,
I would say it's also easy to go into adventures that
are not really practical and spend a lot of time and money
on the infrastructure and workouts.
So have a clear business use case
before you go into something like this, I would say.
So to every one of our listeners, first of all,
Well, as Yousif always says, AI is there,
but it's not quite there, right?
Because we still have issues with technologies.
So my apologies on that one.
Thank you so much for joining us on Morbid Media
and following Brain Blocks.
And an amazing thanks to Raj and Adrian from Audit 1.
Please, you can find the handles on our posts.
So go there, follow them so you can have contact with them,
and maybe talk more AI in the web tree space.
And also, thank you very much, Cybers,
for participating with us in Yousif.
So go there, follow the handles as well, and Brain Blocks.
It was a pleasure to be here.
I'm not your host, so I'm sorry for any mistake
But thank you very much, I guess.
We guys will be talking soon as well, right?
Yeah, thank you so much for jumping in.
All right, so that's a wrap, guys.