Probably not yet, but it could be with some adjustments
So, ChatGPT is a great tool for generating responses. It can produce human-like responses, like grammar and spelling mistakes are corrected automatically. This tool can be used for many purposes, such as creating artwork or code. ChatGPT has already taken the world by storm and is sure to become even more popular in the months and years to come!
Following the installation of an AI-powered assistant into your home, it begins to learn more about you and your habits. As it does so, it begins to provide you with personalized recommendations and recommendations tailored specifically to your interests. Over time, as the AI continues learning about you and the things that are important to you, these personalized recommendations will become even more accurate and helpful.
Some potential issues with using artificial intelligence in this way include the source of the data used to train the underlying AI model, the currency of that training data, bias in the model, and the accuracy of responses. This last point is particularly important, as some responses generated by AI models can be laughably wrong. For example, a recent study found that nearly 60% of variants recommended by an AI-generated shopping assistant were actually harmful to users’ health.
Some enterprise software companies see massive commercial potential in the generative AI space and are clearly not going to let their competitors get too far ahead. Others, such as Google, are taking a more cautious approach, waiting to see how the technology develops before making any bets. No matter which path these companies take, one thing is for sure – there’s a lot of excitement and enthusiasm surrounding this new technology
In the race to bring generative AI to market, Salesforce, Forethought and Thoughtspot have announced betas of their own flavors of the tech. Forethought is focusing on chatbots, while Thoughtspot is aiming to use it for data querying. Each company took the base technology and added some algorithmic boosters to better suit its platform’s unique requirements.
Microsoft’s OpenAI service is aimed at enterprise users, and now Microsoft has created a managed service for it. This means that enterprises can manage OpenAI easily and have access to its features and services even if they are not technically experts.
The technology in question is undoubtedly very cool, but it is still very early in its development. As such, many companies are hesitant to adopt it fully for fear of the limitations that exist currently. This makes us wonder: Is the technology really ready for enterprise use?
