Today's AI is highly developed. Artificial intelligence combines disciplines that make an effort to essentially duplicate the capacity of the human brain to learn from experience and generate judgments based on that experience. Researchers utilize a variety of tactics to do this. In one paradigm, brute force is used, where the computer system cycles through all possible solutions to a problem until it finds the one that has been proven to be right.
"ChatGPT is really restricted, but good enough at some things to provide a misleading image of brilliance. It's a mistake to be depending on it for anything essential right now," said OpenAI CEO Sam Altman when the software was first launched on November 30.
According to Nicola Morini Bianzino, global chief technology officer at EY, there's presently no killer use case for ChatGPT in the industry which will significantly affect both the top and bottom lines. They projected that there will be an explosion of experimentation over the next six to twelve months, particularly after businesses are able to develop over the top of ChatGPT utilizing OpenAI's API.
While OpenAI CEO Sam Altman has acknowledged that ChatGPT and other generative AI technologies face several challenges, ranging from possible ethical implications to accuracy problems.
According to Bianzino, this possibility for generative AI's future will have a big impact on enterprise software since companies would have to start considering novel ways to organize data inside an enterprise that surpasses conventional analytics tools. The ways people access and use information inside the company will alter as ChatGPT and comparable tools advance and become more capable of being trained on an enterprise's data in a secure manner.
As per Bianzino, the creation of text and documentation will also require training and alignment to the appropriate ontology of the particular organization, as well as containment, storage, and control inside the enterprise. He stated that business executives, including the CTO and CIO, must be aware of these trends because, unlike quantum computing, which may not even be realized for another 10 to 15 years, the actual potential of generative AI may be realized within the next six to twelve months.
Decentralized peer-to-peer technology mixed with blockchain and smart contracts capabilities overcome the traditional challenges of privacy, traceability, trust, and security. By doing this, data owners can share insights from data without having to relocate or otherwise give up ownership of it.
