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How Startups Deal With Data Challenges In The Race To Scale Artificial Intelligence
- GenAI is reshaping how businesses operate and is dependent on efficient data collection, management, and scaling systems.
- Legacy systems are being replaced by real-time streaming, cloud-native platforms, and autonomous databases to unlock GenAI's full potential.
- AI analytics and infrastructure markets are projected to grow significantly, indicating a shift for Indian startups to build AI-ready infrastructure.
- Startup leaders discussed data challenges and strategies at a roundtable in New Delhi, focusing on seamless AI execution.
- High-growth startups are leveraging AI-powered user profiling for deep personalization and operational improvements.
- Examples include Droom's Orange Book Value and TrulyMadly's use of AI for meaningful matchmaking based on user data.
- Pristyn Care improved its day-to-day operations using GenAI for training and patient interactions, boosting lead accuracy.
- GenAI adoption is reshaping traditional roles in industries, such as product management roles evolving into tech-driven functions.
- Startups are urged to prioritize cloud infrastructure early on for speed and convenience, with a focus on scalability and modernization.
- AI-ready data stacks and cloud infrastructure are crucial for startups to drive innovation and achieve long-term growth and profitability.
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