- contact@verticalserve.com
Perspectives on enterprise AI, industry trends, domain-centric applications, and the Innovation POD operating model. Product-specific deep-dives live on each product site.
Filter by topic. New posts ship monthly.
Four planes, one metastore per region, catalogs by domain and environment, and the layer contracts that stop a lakehouse from turning into a pile of workspaces.
Waves, not a big bang: identity first, storage second, tables third, workloads last — with the decision table and failure modes we plan for.
Governed views and functions as tools, vector search on gold, Model Serving behind a gateway, and an audit layer that records what agents changed — not just what they said.
How we structure a Databricks lakehouse so AI has a governed foundation to stand on — nine schemas, a conformed star schema, and the modeling decisions that keep premium and loss numbers honest under audit.
We had a 0.87 AUC. Then we switched to out-of-time validation and it dropped. The three ways random splits silently leak, how to architect a correct OOT pipeline, and the checklist we use before trusting any validation number.
A field guide to running a 12-week AI Innovation POD inside a regulated enterprise — discovery, foundation, build-and-iterate, and production handover.
How prediction markets work, how Polymarket uses smart contracts to remove the middleman, and where AI gives traders an edge.
Why the warehouse needs a semantic layer and ontology before AI can reliably generate new metrics and accelerate analytics.
A 2026 snapshot of where Tier-1 banks and insurers are spending on AI — underwriting, claims, compliance, fraud, and the long tail of internal copilots.
Domain depth beats model sophistication. A look at the unglamorous things that decide whether an AI underwriting program reaches production.
Building a RAG system that passes regulator scrutiny — what changes in chunking, retrieval, evaluation, and the metadata you keep.
When each commercial model wins, how to structure the contract, and what to put in the SOW for an outcome-priced POD.