ChatGPT has created a buzz since its launch in November 2022. It has piqued the interest of people from different parts of the world. In spite of the high anticipation, the usage of the tool is still limited in some areas. In most countries, the technology of Generative AI inspires a great deal of fascination. It’s not just the interest that is increasing, but also the development of new applications for it, as well as its incorporation into people’s daily lives. Global regions such as Canada, Europe, and Latin America are quickly advancing with the technology and have seen very successful startups come from the region. Even with the high enthusiasm, the level of maturity differs between countries. This may be the reason why different rules and regulations exist in different countries.
Currently, China is still somewhat behind other countries in the development of Generative AI. This delay may prove to be beneficial in the long run as China can learn from the mistakes of others and have the laws around it nailed down to begin with. The biggest challenge for Generative AI in the near future will be the readiness of certain infrastructures. This together with compliance in the markets, where ChatGPT is already established, will be the biggest barrier to the advancement of Generative AI. A detailed report breaks this down and examines the maturity level, potential opportunities and obstacles in different geographical locations.
ChatGPT is a technology company dedicated to the development and delivery of artificial intelligence (AI) applications. The company specializes in generative AI, leveraging cutting-edge deep learning algorithms that allow machines to generate novel data. With its innovative chatbot, the company brings AI into everyday conversations and enables users to have smarter conversations in the language they speak.
The founder and CEO of ChatGPT, Dr. Patrick Walker, is a renowned AI expert. His passion for machines and artificial intelligence has been part of his life since his childhood. He has pursued a successful career in academia and industry, most significantly at Google and Microsoft, as well as several notable AI startups. He is committed to bringing the groundbreaking results of his research to the public.
