As organisations integrate generative AI into their workflows, establishing a responsible strategy becomes crucial. From marketing to finance, various sectors are exploring specific applications of this technology through testing and pilot projects to discover the best ways to implement and scale it.
Do you want to retain the users who visit your website ? An online marketing strategy goes beyond simply attracting visitors; it also requires attention to various aspects, such as tracking monthly active users (MAU) .
Are you implementing strategies to increase visits to your company's website , but you are having trouble converting those visitors into registered users?
In the age of social media, email remains one of the most effective tools for reaching customers. Email is the primary work tool and one of the main communication channels used outside the workplace.
The rapid advancement of Generative Artificial Intelligence (GAI) has brought with it a series of ethical and security issues, prompting companies such as OpenAI and Google to work towards its responsible development. One of the most prominent issues is the potential for generative AI to produce false or misleading content, which could have serious consequences for misinformation and the manipulation of public opinion. Moreover, there are concerns about privacy and the misuse of personal data, as well as potential discrimination and bias in AI algorithms. These concerns have led AI leaders to implement ethical principles and governance programmes to ensure that AI is developed and used in an ethical and secure manner.
