A plain-language look at how text-to-SQL systems translate natural language into database queries, why accuracy collapses on real enterprise schemas, and what actually closes the gap.
A look at how the data lakehouse model works, why Apache Iceberg has become the default table format for it, and what that consolidation means for teams building on cloud data platforms.
A practical look at what an Apache Iceberg catalog actually does, why it has become the real point of vendor lock-in in the modern lakehouse, and how to evaluate catalog options like Polaris, Unity, and Glue.
Vertical AI builds foundation-model applications around the workflows, data, and regulations of a single industry rather than trying to serve every user. Here's how it works and why it's pulling ahead of horizontal AI tools.
A grounded look at why investors and builders are asking whether AI agents make traditional per-seat SaaS obsolete, and what the evidence actually shows.
A plain-language breakdown of how systems of record and systems of action differ, why AI agents are pushing enterprise software toward action, and what it means for how businesses build and buy software.
Most enterprise AI and agent pilots never reach production. Here is why they stall, what separates the ones that ship, and how to structure a pilot that actually survives contact with production.
A practical guide to agent washing — the practice of rebranding ordinary chatbots and workflow tools as 'AI agents' — and how to tell genuine agentic systems from marketing dressed up as autonomy.
AI-ready data is data that's clean, structured, contextualized, and governed well enough for AI systems to use reliably. Here's what that actually requires.
Postgres has quietly become the preferred database for AI applications, from RAG pipelines to agent memory. Here's what changed and why it matters for builders.
A forward deployed engineer builds and ships software directly inside a customer's environment instead of shipping a generic product from headquarters. Here's how the role works and why AI companies are hiring for it.
A practical breakdown of how driverless freight trucks actually move goods today, why the industry converged on a hub-to-hub design instead of true door-to-door autonomy, and what it means for logistics operators.