https://ixprt.com/blog/ Writing on data-for-AI, vector retrieval, quant infrastructure, and the work between raw inputs and useful AI. en-us Sat, 02 May 2026 09:38:38 GMT https://ixprt.com/blog/risk-attribution-compared/ https://ixprt.com/blog/risk-attribution-compared/ Sat, 02 May 2026 12:00:00 GMT noreply@ixprt.com (Reid Spachman) How the major risk-attribution approaches compare — Barra, Axioma, and the custom factor models that funds increasingly build in-house. https://ixprt.com/blog/what-is-a-quant-engine/ https://ixprt.com/blog/what-is-a-quant-engine/ Sat, 02 May 2026 12:00:00 GMT noreply@ixprt.com (Reid Spachman) A definition of the quant-engine category, the four functions it covers, and what funds and family offices should evaluate before buying or building. https://ixprt.com/blog/vector-store-choices-2026/ https://ixprt.com/blog/vector-store-choices-2026/ Sat, 02 May 2026 12:00:00 GMT noreply@ixprt.com (Reid Spachman) Five vector stores side by side — feature matrix, pricing posture, latency at scale, and which to pick by use case. https://ixprt.com/blog/what-is-data-for-ai/ https://ixprt.com/blog/what-is-data-for-ai/ Sat, 02 May 2026 12:00:00 GMT noreply@ixprt.com (Reid Spachman) A definition of the data-for-AI category, the five layers of work it covers, and what to look for when you evaluate vendors. https://ixprt.com/blog/why-rag-pipelines-fail/ https://ixprt.com/blog/why-rag-pipelines-fail/ Sat, 02 May 2026 12:00:00 GMT noreply@ixprt.com (Reid Spachman) Five named failure modes that kill RAG systems in production — drift, dedup gaps, chunk-strategy mistakes, retrieval-recall miss, and embedding-model mismatch. https://ixprt.com/blog/ai-analyst-desks-2026/ https://ixprt.com/blog/ai-analyst-desks-2026/ Sat, 02 May 2026 12:00:00 GMT noreply@ixprt.com (Reid Spachman) What AI analyst desks are, what makes them work, and where they fit in the 2026 market-research landscape. https://ixprt.com/blog/state-of-ai-in-finance-2026/ https://ixprt.com/blog/state-of-ai-in-finance-2026/ Sat, 02 May 2026 12:00:00 GMT noreply@ixprt.com (ixprt Research) Where AI sits in finance in 2026 — data infrastructure adoption, quant integration, AI-generated equity research market, regulatory framing, and a 12-month outlook.