Manish Garg is the cofounder and chief product officer at Skan.ai, a computer-vision-based process intelligence platform. Read Manish Garg's full executive profile here.
, the global artificial intelligence adoption rate is 35%—a four-point increase from the previous year. Furthermore, 44% of respondents are actively working to embed AI into their businesses. These figures illustrate that companies aren't merely interested in AI as a novel concept—they're committed to harnessing its capabilities to stay competitive and relevant in an increasingly data-driven world.
First, let's differentiate between artificial general intelligence and enterprise general intelligence to grasp why AGI isn't a good fit for enterprises.AGI emulates broad human intelligence. But when tailored for business, it becomes enterprise general intelligence , with domain-specific expertise for specialized organizational needs.
Another key distinction between the two is output evaluation. AGI lacks a clear reward approximation due to its broad range of tasks, making it challenging to quantify its success uniformly. In contrast, EGI has defined metrics for success, allowing for precise output assessment and subsequent improvements.
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