Generative AI Adoption in Enterprises
Enterprise GenAI Implementation
The hype around ChatGPT has given way to serious boardroom discussions about ROI. Indian enterprises, particularly in BFSI, IT services, and pharma, are aggressively piloting Generative AI for code generation, customer support automation, and content creation. However, the journey from pilot to production is fraught with challenges, which include data privacy (getting data out of silos), hallucination control, and the soaring cost of GPU compute. The real money is being made in the “picks and shovels” of AI: cloud infrastructure and data labelling services.
What Numbro covers:
Adoption rate analysis across Indian verticals: BFSI (fraud detection), IT (copilot tools), and Retail (personalisation). Technology stack mapping: Foundation Model selection (OpenAI GPT, Google Gemini, Indian language models like BharatGPT) vs. Open Source (Llama, Mistral). Cost of compute analysis for fine tuning and inference on NVIDIA H100 clusters versus cloud API calls. Implementation services landscape covering IT giants and specialised AI boutiques.
- Chief Technology Officers (CTOs) in Indian enterprises
- Cloud service providers (AWS, Azure, Jio)
- Data annotation and RLHF workforce planners
- Venture capital firms
