The AI in Business Podcast How Domain-Specific GenAI-Driven Orchestration Unlocks Value in Secure and Siloed Data Environments - with Arun Subramaniyan of Articul8
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Jul 10, 2025 Arun Subramaniyan, Founder and CEO of Articul8, shares insights from his experience leading GE's digital twin revolution. He emphasizes the importance of domain-specific AI models over generic solutions in tackling complex industries like finance and aerospace. Arun introduces the concept of the 'Model Mesh'—a framework for orchestrating interconnected models that can answer intricate business queries. He discusses data integration challenges and advocates for prioritizing high-impact AI projects to ensure meaningful outcomes.
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Generative AI Transforms Data Use
- Legacy industries struggle to turn siloed, complex data into actionable intelligence despite years of investment.
- Generative AI enables continuous, consistent data processing directly to applications, shifting traditional two-step data workflows.
Data Diversity Challenges Analysis
- Enterprises often hold data in varied formats and sources requiring analysis before answering questions.
- For example, answering financial risk involves combining public and private data from text, images, and tables.
Enterprise Data Silos Slow Outcomes
- Organizations in diverse industries share similar data management and application team structures.
- Siloed behavior in these teams slows access to data needed for actionable business insights.