The development of an AI-driven, continuously updating business advisor as you've outlined seems to align with the ongoing trends in AI development and application.

There are already AI-driven tools being utilised for business analytics, risk analysis, and prediction modeling. Improving these systems to have real-time updating capabilities and comprehensive knowledge resources would be a logical next step. Such a system could potentially offer a wide range of benefits, like:

However, it's also important to consider the potential challenges and ethical considerations:

In conclusion, while the development of such a system could offer substantial benefits to businesses, it must be undertaken with careful consideration of the potential challenges and ethical implications.

I think it is a reasonable idea to create a new generation of something similar to ChatGPT, a kind of intelligent online business advisor. ChatGPT was a pioneering project that aimed to provide personalized and relevant advice to entrepreneurs and business owners, using natural language processing and deep learning.

Dariusz Prokopowicz in a word, no.

I have answered a similar question on knowledge research, which has one level of abstraction, and my Enguage tool already does this. This can be applied to CRM and ERP and similar systems; however, if you are looking for an 'AI system' to make money, say on business decisions, then I would advise against it, unless you were looking to drive your existing/proven applications by voice. Given that business is a competitive arena, there will be competition to beat your competition to a better deal. You might find that you have simply found a quicker way to loose your shirt!

I definitely see value in developing a new generation akin to ChatGPT, oriented as an online business advisor. By using continuously updated and objectively verified databases, this type of system could greatly assist entrepreneurs, managers, and executives. Systems that process vast amounts of economic and financial information in real-time, on Big Data analytics platforms, have the potential to be transformative tools in organizational management, scenario forecasting, and risk detection. However, it's crucial to underscore that the intention behind these tools should not be to supplant the vital role of human advisors. Advisors provide invaluable input based on experience, intuition, and personal relationships, aspects that a machine cannot replicate. Instead of viewing this new generation as a replacement, we should perceive it as a complementary tool that enhances and enriches the work of advisors. Part of the ethical responsibility of developers of such systems is to ensure they are introduced as facilitators, not replacements, for human professionals.

Your idea represents a compelling direction in the development of AI systems, particularly in the field of business intelligence and decision support. There are several key factors to consider:

1. Data Integrity and Quality: Continuously updated data from reliable sources would be critical to ensuring the system's answers are accurate and up-to-date. The integration of various business websites, portals, financial, and economic information would need to be done carefully to maintain integrity.

2. Security and Privacy: This kind of system could potentially deal with sensitive business information. Security protocols would have to be rigorous to ensure that no sensitive data is mishandled.

3. Domain Expertise: By focusing on the business domain, the system could be trained with highly specialized knowledge, potentially offering insights on par with or even surpassing human experts. This would require collaboration with experts in the field to ensure the system is trained effectively.

4. Compliance and Ethical Considerations: Such a system would need to be mindful of various laws, regulations, and ethical guidelines pertinent to business practices in different jurisdictions. It should not inadvertently provide advice that could lead to illegal or unethical actions.

5. Customization and Context Sensitivity: Businesses operate in very different contexts and industries. The system would need to be highly adaptable to the specific needs and contexts of different businesses, perhaps through a robust set of customizable parameters or even personalized training.

6. Human-AI Collaboration: Understanding that AI can't predict the future with certainty, the system should ideally be used in conjunction with human judgment. AI could provide data-driven insights, predictions based on patterns, and facilitate complex analyses, while humans would make the final decisions considering factors that might be outside the AI's training data.

7. Technological Challenges: Implementing a system like this would be a significant technical challenge. Continuously updated data would require real-time processing capabilities, extensive storage, and a robust infrastructure.

8. Commercial Viability: Lastly, the commercial aspect must be considered. If there is a clear demand for such a service and a viable business model can be developed, it may attract the necessary investment to make it a reality.

In summary, while the concept is promising and aligns well with ongoing trends in AI-driven business intelligence, the implementation would be non-trivial and would require careful consideration of various technical, ethical, legal, and commercial factors. Collaboration with experts in business, law, ethics, and technology would likely be essential to create a system that is both useful and responsible.

Absolutely! Just as technology evolves (📱), so do business needs. A new-gen ChatGPT as a savvy online business advisor could be a game-changer 🚀. With its AI smarts, it'll make strategizing smoother than a well-oiled machine. Embrace the future of business advice! 💼🤖

Yes, please. The purpose of research is to bring about improvement. Once the new ChatGPT solves some challenges in the existing ChatGPT.