Democratizing AI is all about empowering others to use it, by making it available to them. Audiences, such as marketers in a company, will be able to access AI capabilities as part of their MarTech solutions, without the need of being technical. It could also be schools, where the younger generations are learning how to use it in responsible, secure, innovative, and creative ways. This is the year where companies, after discovery phases and teams experimenting, are looking to activate and take advantage of the AI advances. Generated with Microsoft Designer And so, questions emerge, such as “What to democratize when leveraging AI?” There are common scenarios, as well as specific ones, that will depend on the company, and the industry they belong to. A common scenario, seen in many industries, when democratizing data is the data visualization and reporting . In digital marketing, as an example, data scientists and data analysts can automate reporting, making them available to the clien
Recently, the European Parliament voted and passed the landmark EU AI Act. It's the first of its kind and sets a benchmark for future AI regulations worldwide . The EU AI Act lays the foundation for AI governance, and it's pertinent for organizations delving into AI systems to comply with the legislation, build robust and secure AI systems, and avoid non-compliance fines. Photo by Karolina Grabowska via Pexels My three key takeaways from the legislation are as follows: The Act introduces the definition of an AI system: "An AI system is a machine-based system designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments" The Act introduces the classification of AI systems based on risk to society. The Act outlin