Reactive AI vs Proactive (Agentic) AI: Architectural Differences that Matter
Introduction: Artificial intelligence has been developing quickly, but still a lot of systems function reactively and can only respond to a situation once it has occurred. This reactive AI usage has a major drawback, as it only takes the present into account and nothing else. Moreover, it is not able to predict the future and…
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Priyadharshini
Scaling with Confidence: Why Payoda’s Agentic AI Approach Wins
Introduction: Enterprises across industries are moving in the same direction when it comes to scaling up, controlling massive data, and maintaining quality. Nevertheless, the use of traditional automation and AI models has a threshold when the complexity goes up. They shine when it comes to performing routine tasks that follow strict rules but get stuck…
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