Enterprise AI in Production — Mumbai edition
Legacy modernisation, data governance, and architectures for deploying AI agents in enterprises
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Swetha A When Good Agents Disagreed Until We Built Shared UnderstandingAbstract Multi-agent systems are often built around orchestration: an orchestrator routes requests to specialist agents, coordinates their work, and brings their outputs together. But in production, we encountered a more fundamental problem: every agent could be doing its job correctly, while the system as a whole was still wrong. more
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Yash Gandhi Big Data, Mighty MachinesAbstract For about five years now, the real bottleneck has not been infrastructure; and yet, most organisations have run Spark or Glue jobs for datasets that comfortably fit in a single machine’s memory. We believe the real villian has been tooling and we are here to fix that. more
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