Nikhil Krishnan, CTO of C3 AI, highlights how modern agentic AI systems empower end users to create production-ready applications using natural language descriptions rather than traditional coding. This innovation addresses previous barriers to efficient enterprise data mapping and structuring, enabling faster app development. With robust enterprise object models, diverse data sources from various SAP versions and acquired ERP systems are unified, allowing process engineers and subject matter experts to design and execute workflows independently. Krishnan emphasizes that 85% of enterprise AI pilots fail without semantic data layers, underscoring their importance. He also explains how agentic systems can shift rigid robotic process automation towards adaptive solutions. Additionally, he discusses when to use autonomous versus human-in-the-loop workflows. His extensive experience in data science and generative AI drives C3 AI’s product innovation and technical direction, enhancing the landscape of artificial intelligence and machine learning across industries.
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