India, Jan. 2 -- Companies that are currently scaling AI are faced with a challenge beyond the availability of data and the accuracy of the model. The actual challenge is in the deployment of AI in a wide range of dynamic environments where new models are rising, existing models are obsolescing, and data is changing. What is required here is a transformation in the perspective of the architecture of AI.

The rate at which advancements are taking place in the development of artificial intelligence models has become extremely rapid. Every week is seeing the emergence of novel architectures, fine-tuning methods, and optimization algorithms available in open-source as well as commercial environments. This leads to a situation where yesterday'...