In this exclusive interview, Tiger Analytics Co-founder Pooja Agarwal traces the company’s evolution from solving localized analytics problems to orchestrating global, cloud-scale AI transformations. Discover why the conversation has shifted from experimental AI pilots to full-scale production workflows, how AI exposes critical data foundation gaps, and what it takes to scale a specialized global team to over 7,000 AI-ready professionals.
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Senganal Thirunavukkarasu (Head of Enterprise Tech) and Harish Seetamaraju (Senior Director, Analytics Consulting), Tiger Analytics, reveal how engineering maturity, LLMOps guardrails, and AI accelerators are reshaping enterprise AI transformation.
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Enterprises are increasingly exploring Generative AI, but many face hurdles in moving projects beyond pilots due to fragmented data, integration challenges, and organizational readiness. Tiger Analytics helps turn these challenges into opportunities by aligning use cases with business goals, leveraging a modular agent-based approach, and building scalable real-time data pipelines for accurate semantic search. With robust MLOps, continuous model evaluation, and strong AI governance, Tiger empowers organizations to confidently scale GenAI initiatives and realize meaningful business impact.
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