Investing In Mind Tree - What You Need to Know

Mind Tree operates a generative artificial intelligence trading system. We invest in financial products for the first time in the world using generative artificial intelligence. Mind Tree invests directly in cryptocurrency derivatives such as Bitcoin futures using GATS (Generative AI Trading System) developed by DMT, a company comprised of key AI talents in India. Mind Tree's GATS (Generative AI Trading System) learns from large-scale, high-quality futures and options trading data held by a group of Jewish financial experts to create investment strategies that can produce the best returns. To understand Mind Tree's GATS, you need to understand key terms related to AI technology.

What's generative AI?

The term generative artificial intelligence is more than just technical language, it refers to the technology that is currently driving innovative change in the digital world. Traditional artificial intelligence, which is already being used in various forms in numerous industries, is mostly analytical artificial intelligence that analyzes data and recognizes patterns. However, generative artificial intelligence technology goes beyond this and can create new content in response to data entered by users. Generative AI technology is closely related to the advancement of unstructured deep learning models. Generative AI can actively generate results to meet the complex or diverse needs of users. In this way, generative AI is more than just a tool to save time and cost, it can produce results that surpass human creativity.

Core technologies of generative AI

Deep learning, a process of learning data, is necessary to produce results that meet the needs of generative artificial intelligence users. Deep learning is a method of artificial intelligence that teaches computers to process data in ways inspired by the human brain. Deep learning models can recognize complex patterns in pictures, text, sounds, and other data to generate accurate insights and predictions. As such, generative AI and deep learning technology have a very close relationship. The core principle of generative AI is deep learning. Deep learning is an artificial intelligence technology that can identify the characteristics of data and make predictions when given new data.

Use of generative AI technology

Recently, OpenAI's Chat GPT has shown excellent text generation capabilities, and market and public interest is increasing accordingly. Chat GPT can be seen as a representative use case of generative artificial intelligence technology. Using a service like Chat GPT, you can get detailed and clear answers to not only simple questions but also complex follow-up questions. Furthermore, during these conversations, the generative AI remembers the content of previous conversations, and based on this, the generative AI model provides more meaningful and informative answers.

No profit model for generative AI

Open AI, which popularized generative artificial intelligence with the development of Chat GPT, is valued at $27 billion as of June 2023. However, operating loss in 2022 was $540 million. There were even predictions that Open AI could go bankrupt due to deficits. Despite the two business models of charging users a subscription fee for faster and more powerful AI services and selling Chat GPT's API to companies, it is still considered difficult to escape the deficit due to the enormous GPU infrastructure costs and rapid increase in labor costs. Open AI needs more aggressive and diverse profit models to overcome deficits.

Generative AI trading system

Mind Tree uses generative artificial intelligence technology to invest directly in cryptocurrency financial derivatives. It is expected to solve the problem of the lack of profit models for generative artificial intelligence. Trading bots used in cryptocurrency futures trading are automatic trading programs that automatically execute transactions according to preset rules and strategies. It is not possible to respond to constantly changing situations in the financial futures market and make complex decisions. Mind Tree's GATS learns transaction data accumulated by a group of Jewish financial experts through a deep learning algorithm to predict market conditions in real time and create and use optimized strategies. If Chat GPT popularized generative AI, Mind Tree GATS will create a profit model using generative AI.

COMTEX_453538224/2891/2024-06-08T11:29:10

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