Generative AI updates have come in waves. The first cycle tackled generalized capabilities as an intro to the technology, but vendors have turned their focus to tailoring solutions for specific job functions and industries.
Other technologies have followed similar patterns. Cloud also started as a technology for general use, later customized by providers to meet the needs of specific industries. As early adopters and experimenters sought out valuable use cases in generative AI, aiding developers and the development lifecycle seemed promising.
