Enterprise-Grade Generative AI Automation: Unpacking The Hype, Understanding The Challenges
SiliconANGLE , Monday, July 10,2023
The recent news about generative artificial intelligence is creating a lot of justifiable excitement around the new possibilities for human-computer interaction. However, as with past AI and machine learning hype cycles, realizing material benefits will be elusive if generative AI is treated as a magic wand, particularly in the context of enterprise-grade automation.
Although generative AI has already spawned much experimentation, most demonstrations are focused on the technology's ability to generate outputs - text, music, art and even code templates - as guided by human prompts. These outputs, while impressive in their own right, are generally understood to be first drafts, often with varying degree of acceptable errors and omissions, such as an entry-level assistant might provide.
However, early generative AI automation prototypes tend to demonstrate simple if-this-then-that-style capabilities without reference to security, governance and compliance concerns. Complex enterprise and industrial systems have a far higher standard to automate processes safely, with complex use-case requirements, organizational policies and industry regulations, which require deep domain-specific knowledge and rules.