Articles exploring the intersections of Artificial Intelligence, product management metrics, data architecture, and agile methodologies. Written for developers, project managers, and tech leaders.
A deep dive into Vault: how we bridged client intake, TPM capacity scheduling, AE standups, and executive analytics into a real-time system with Redis Pub/Sub, Node.js, and Jira Cloud integration.
Read full postDemystifying RAG pipelines for PMs: balancing accuracy, cost, latency, and compliance in enterprise generative AI products.
Read full postHow to design, implement, and track safety, toxicity, and correctness metrics when launching customer-facing AI products.
Read full postTraditional velocity and burndown charts don't capture model training uncertainty. Here is how to adapt Agile for data science teams.
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