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Relational databases

No Memory, No Harness: Why the Database Is the Last Line of Defense — Kay Malcolm, Oracle

No Memory, No Harness: Why the Database Is the Last Line of Defense — Kay Malcolm, Oracle

Kay Malcolm discusses how AI, while boosting individual performance, often hinders overall team productivity due to fragmented context. She introduces the concept of an "agent harness" with "memory" as its central nervous system, vital for sharing context. Drawing on personal experiences with database sprawl, she highlights the inefficiencies of storing diverse memory types across multiple data stores. Malcolm then presents Oracle's AI database (26AI) as a unified solution, capable of natively managing all memory types in a single platform, thereby enhancing team collaboration and solving the context problem for enterprise AI agents.

TruthTable: A Verifiable Query Engine

TruthTable: A Verifiable Query Engine

TruthTable is a verifiable database engine that produces succinct cryptographic proofs for SQL query execution. It supports a wide range of SQL queries by leveraging query plans, polynomial encoding, and operator-specific PIOPs. It features a query planner with proof-specific optimizations and a novel batch compilation engine (ARCPOP). Benchmarks on TPC-H show average proving times of 55 seconds, verification times of 32 milliseconds, and proof sizes of 24kB, significantly outperforming prior academic and industrial systems in speed and expressiveness.

What Are Large Database Models? AI for SQL Data

What Are Large Database Models? AI for SQL Data

Martin Keen introduces Large Database Models (LDMs), a new AI paradigm that brings advanced analytical capabilities directly into SQL and relational databases. This allows for semantic queries on the 99% of enterprise data traditionally locked away, enabling faster, more secure insights without costly data movement.