Process Technology

Data science is the application of a combination of mathematical, statistical, analytical, and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is. It is a field where one should be trained and practiced. Without proper training and applicative skills, one cannot be as successful as a data scientist. There is a lot to learn about various data science tools and techniques. Getting certified will not only help you hone your skills but also will confirm your future as a data scientist.

Prepare to be taken on a thought-provoking journey as Dr. David K. Ewen uncovers the ominous challenges that arise when artificial intelligence (AI) and democratic processes intersect. In his book, Democracy Under Siege: The Threat of AI-Powered Voter Manipulation, Dr. Ewen explores the transformative impact of advanced AI language models like ChatGPT on political campaigns and communication. However, as exciting as this new technology is, it also poses a significant threat to the integrity of democratic processes.

La automatización robótica de procesos (RPA) es el uso de software equipado con inteligencia artificial (AI) y capacidades de aprendizaje automático para manejar tareas repetitivas y de alto volumen que requerían ser realizadas previamente por humanos.