In today’s world, it is hard to escape the hype surrounding Artificial Intelligence (AI), Generative AI and its applications. From self-driving cars, ChatGPT and deep fakes, everyone has heard about the potential AI has in transforming industries and domains, as well as the world as a whole... But is this hype real?
Successful marketing in today's digital era hinges on a profound understanding of customer needs and behaviours, coupled with effective actions based on that knowledge. The vast amount of data available in the digital landscape offers an unprecedented opportunity to gain deep insights into various aspects of marketing. This blog post explores the potential of data science and AI in enhancing marketing practices to achieve optimal results.
In today's world, stories about organizations achieving remarkable success with AI solutions dominate our news feeds, social media platforms, and marketing campaigns. These seemingly magical AI systems promise to revolutionize our lives by solving complex problems. However, the reality is far more nuanced. Amid the success stories, numerous companies find themselves trapped in nightmarish situations, struggling to make AI work for them. What separates the winners from the losers? The answer lies in one key factor: data quality.
Generative AI has ushered in a new era of possibilities, from ChatGPT to Bard and DALL-E. However, as this technology gains momentum, concerns regarding its ethical use and control have become increasingly prevalent. In this blog, we explore the guidelines set by KU Leuven, shedding light on how to navigate the intricate landscape of generative AI responsibly.
