Agentic AI

Exact match is easy. Similarity is hard. This post climbs the ladder of structures that make vector lookups fast: linked lists (slow scans), skip lists (express lanes), small-world graphs, and HNSW. Then it shows how pgvector brings HNSW into PostgreSQL so entity resolution can happen where your records already live.

Healthcare providers track the same patient under five name variations. Retailers can't tell when the same SKU is under two different codes. CPG companies buy demand data showing one product with three different names across channels. Supply chains have suppliers that are actually the same company. Every week. Same problem. Different domain. Your data doesn't know what it's describing.

While most organizations chase the latest AI trends, data leaders are building something different: reliable foundations. This isn’t about deploying more agents faster—it’s about assets with lineage, harmonization rules, and semantic definitions that make every AI decision trustworthy. Discover why speed without discipline turns into liability, and how to fund the running back while the quarterback steals the headlines.

Your pricing math is broken. The shift to Agentic AI isn't just a trend; it's a mathematical certainty that will bankrupt you. When precision turns your 10,000-unit sale into a 5-unit transaction, revenue collapses. The fix isn't a bet on outcomes. It's pricing the real work: the expensive LLM infrastructure that translates vague intent into a clean answer. Stop selling the data; start selling the intelligence.

For a decade, the data industry monetized a mistake: we sold the haystack. Customers paid for volume because they couldn't easily find the needle. Agentic AI changes the math. By replacing linear workflows with non-linear intent, AI drives transaction costs to zero—and destroys volume-based revenue models. This series uses econometrics, calculus, and microeconomic theory to engineer a new pricing framework. The assembly line is closing. It is time to price for outcomes.

Early adopters of Agentic AI are driving 6-10% revenue growth. This isn't yesterday's automation (RPA). It's a new class of AI that makes decisions and achieves goals, not just completes tasks. A recent Google Cloud study confirms 88% of early adopters are already seeing ROI. This is how you move from efficiency to profit.