In this podcast we talk about the first space in the evolution of AI which is the "Generation Space". This is described in the source as the first stage of AI evolution, where AI is used for content generation, data analysis, and trend prediction. Businesses start their AI journey in this space because it offers simple automation and task execution, reducing the time and effort required for previously time-consuming and labor-intensive activities. The Generation Space acts as a foundation for more sophisticated AI applications by enabling organizations to experiment with AI, observe its capabilities, and gain the confidence to investigate more transformative applications.

The source also illustrates this idea with examples from various fields:

Predictive analytics in healthcare: The Mount Sinai Hospital in New York employs IBM Watson Health to anticipate which patients have a higher risk of problems or readmission by examining patient data, genetic information, and social determinants of health. This enables medical professionals to step in sooner and modify treatment strategies, resulting in improved patient care and cheaper healthcare expenses.

Dynamic profiling in public employment services: Predictive analytics techniques, particularly logistic regression and decision trees, were used to build a dynamic profiling system for job seekers. This method made it possible to continuously assess and update each job seeker's risk of long-term unemployment based on a variety of criteria, improving the efficiency and efficacy of public employment services.

And much more