2 Innovations for financial purchases

It is easy to understand intuitively that financial markets are prognostic to some extent. In other words, there are things we can learn through database and other things that are quite opaque and mysterious, at least until you apply some advanced resolution.

But I think many people will associate funding, in general, to learning. People want to understand the methodologies and the way funding works – they want to be able to make better decisions with the most up -to -date, not only for markets they make or how to budge money, but how to predict and make forecasts and plan the future, which is the kind of budget.

In fact, investment is the same, in some way. Obviously, it works better if you have a long -term plan.

Use AI for funding

So, since this seems to be a perfect application for large language models, where these detailed machines are so very cognitive that they can make predictions and teach us more about how to handle money.

I recently saw a series of presentations from some great young career professionals who are developing cases of real world use for artificial intelligence.

Two of them had to do with funding, but they had very different angles.

Event forecast

The first was a prognostic machine by Araoh Krishna who analyzed the exchanging Kalshi-though it has an Indian name, the exchange was created in the US, quite recently.

I was not familiar with Kalshi, but when I read it, the platform gets at least 1 million users ordinary and you can bet on everything, from natural disasters and elections to things like what is going to say in a certain period of time.

They call it events based on events.

In any case, a project called Analysekalshi uses emotion analysis to help predict results. There are two API involved, according to a flow chart showing how this engine works.

Krishna notes that part of the goal is to level the competition field between mutual risk capital and what it calls “casual investors”.

I found that this is an interesting use of AI, although it is applied to a market that seems to lack certain seriousness.

In other words, our tools can make extremely predictions about certain types of results based on whimsical emotions, in some cases, rather unstable people or more serious and important predictions … driven by extremely technical standards that can help us.

Adolescent budget

The second presentation was about creating personal funding tools for adolescents or new adults.

Viren Kedia presenter noted that the application aims to help teenagers be able to do things like investment and budget and understand taxes.

Notes on program research on the presentation banner show that in two days, teenagers received a 30% increase in alphabetical quiz scores.

This is important because your quiz scores show, as a user, what you learn and help with the comparative assessment that the application brings to the table.

Users, Kedia adds, like three important things about the app: Free Edition, a good interactive chatbot and video functionality.

Teenagers learn the difference between the budget and the financial plan and the setting of financial goals.

It is all part of the training of this part of the users base in managing better money and yes, in some way, prediction opportunities.

Can these tools achieve what we need? The plans look active and there is a clear value proposal for both. I will continue to bring some of the most interesting and exciting projects on the blog, so stay tuned.