Blog

What the Analytical Data Solutions LLC team is seeing in AI, data, and infrastructure, written from client work rather than press releases.

AI Infrastructure

Small models are quietly winning the boring workloads

Classification, extraction, and routing tasks are migrating from frontier APIs to sub-10B models that run on a single GPU, and the economics are hard to argue with.

ADS Engineering · May 14, 2026 · 5 min read

AI in Practice

Agentic AI is moving from demos to production workflows

The gap between an impressive agent demo and a dependable one comes down to three unglamorous things: permissions, evaluation, and rollback.

June 24, 2026 · 6 min read

AI Infrastructure

LLM cost engineering: what actually moves the bill

Model choice gets the attention, but caching, batching, and prompt hygiene routinely cut inference spend 40 to 70 percent before anyone downgrades a model.

June 10, 2026 · 5 min read

Data Engineering

RAG quality is a data engineering problem, not a model problem

Retrieval-augmented generation fails in production for the same reason dashboards fail: nobody owns the pipeline that feeds it.

May 28, 2026 · 6 min read

Talent

What the 2026 tech hiring market actually rewards

AI has not shrunk engineering teams; it has repriced skills. Systems thinking, data fluency, and operational judgment are up. Boilerplate fluency is down.

April 30, 2026 · 5 min read

Data Engineering

The vector database wars are ending where they started: in Postgres

For most teams, pgvector on managed Postgres has become the default answer, and the specialized vector stores are retreating to genuinely large-scale niches.

April 16, 2026 · 4 min read