Artificial intelligence has been one of the hottest topics in the cryptocurrency ecosystem in the last couple of months, this is first due to the release of CHATGPT which has managed to even stir crazy arguments on Hive and then again, the sudden rise of AI tokens of which majority, like myself believe is a total scam, lots of shit bags with little to nothing to offer AI-wise.
CHATGPT on the other hand, has shown great significance in the passing months that's got humans wondering what sorta efforts have really been put into developing something this powerful. From answering complex questions to writing broad and comprehensive articles to even writing programmes, yes, I acknowledge that sometimes what it produces could either be wrong or a total garbage, but these drawbacks serve as developing blocks for artificial intelligence.
Dealing With Large Numbers
Let's take a step back and take a look at the financial market, how the business sector has grown over the years. Asides the numerous additions in innovative products and services, one thing constant in these developments is an increased cash flow, in other words the ecosystem has seen significant increase in figures being pulled through the industry.
This comes with a chunk of data set that many parties leverage for all sorts of studies. This significant increase in cash flow and significant collection of data puts out demand for a system that can manage and analyze large data sets efficiently. These analyses are crucial for business growth and will be highly applicable in the trading sector, this is by leveraging the underlying infrastructures of artificial intelligence to build trading strategies to win the market bets.
So we'd see artificial intelligence powering trading, powering business analysis, managing data efficiently and building winning strategies. If we look at it from another perspective, the rise of artificial intelligence might actually be what crypto and blockchain needs to scale more efficiently. AIs are designed to provide solutions, humans by nature create problems for themselves, thus, what will be increasingly common in coming years is the leveraging of artificial intelligence to solve complex problems and build winning cases in business developments and finance management.
The world of investing and building of investment products could radically change as people learn to bend this system appropriately to derive impactful data collections. Of course, this will have its own negative effects on how things are being built and deployed, or more importantly, how this power is being exercised, but if artificial intelligence can be bent at some point to create problems that cages the world, it could also be leveraged to build a solution.
The idea is ultimately to pull data around, back and forth to achieve case studies filled with developed problems and solutions, which effectively contributes to the future of building a successful business as though when the numbers climb high, artificial intelligence will be needed to analyze and execute. To some, this idea stinks of pollution of low effort garbage, but as we've seen with basic content creation, it simply takes the right person to task the system with the right work and the results will effectively be a blast, considering all things.