Indian Enterprises Build AI Infrastructure Amidst Rapid Market Growth
Indian enterprises are developing robust infrastructure for scaling AI as the country's AI market expands rapidly. Cost and data management present key challenges.
Indian enterprises are facing new challenges in the large-scale adoption of Artificial Intelligence (AI), with the market projected to exceed $71 billion by 2030. As boardroom AI initiatives accelerate, cloud costs are escalating, and data pipelines are straining under the weight of unstructured inputs.
Companies are transitioning from mere productivity tools to core product development, including coding copilots, automated testing, and AI-driven IT service management. The conversation has shifted from experimentation towards predictability, governance, and cost control.
Inc42 and Oracle recently hosted CTO Dialogues to discuss building the AI infrastructure backbone. Discussions highlighted that AI at scale is not primarily a GPU problem but an engineering challenge. Enterprises need to define clear business outcomes before building.
Managing data streams is another significant challenge, particularly with the unpredictability of user-generated content. Tailoring infrastructure for specific use cases also requires costly experimentation. Finally, incorrect decisions in automation can lead to substantial costs and performance issues.