data lineage
3 stories filed under data lineage on Beyond Market Intelligence. The newest of them: “Explore how machine learning ranks 1.18 million horse racing runners”, “Your data pipeline is the real reason your AI is confidently wrong”, and “Measure AI ROI by mapping the customer journey before you build”. A 43.5% strike rate on the first live day of a rebuilt model is a strong opening statement. The failure that doesn't look like a failure is the one that quietly undoes your AI system. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every data lineage story on Beyond Market Intelligence, newest first.
Explore how machine learning ranks 1.18 million horse racing runners
A 43.5% strike rate on the first live day of a rebuilt model is a strong opening statement. This project, called Hoofs, tackles British and Irish horse racing with 1.18 million historical runner records and a firm respect for the market baseline. Beating the price is harder than building a decent model, a candid observation. For those exploring similar predictive challenges, this is a practical case study.
Your data pipeline is the real reason your AI is confidently wrong
The failure that doesn't look like a failure is the one that quietly undoes your AI system. You ship it, stakeholders sign off, and months later, the answers drift wrong, not because the model changed, but because the data behind it didn't move with the world. That's not a retrieval problem; it's a data engineering one. Correctness, freshness, consistency, lineage, these are the checks that matter, and most pipelines still monitor for completion, not truth. If you're chasing model swaps, you're solving the wrong puzzle.
Measure AI ROI by mapping the customer journey before you build
Zillow's engineering chief brought a refreshing dose of discipline to VB Transform 2026: measure before you build. Toby Roberts and Glean's Arvind Jain showed that context, not data, is the real bottleneck in AI. Zillow's persistent context layer carries customers through a journey that spans months and multiple professionals. That's a hard problem, and they're solving it with practical architecture. For those digging into the technical weeds, our guide to distributed algorithms pairs well with this systems-first thinking.