The era of agentic AI demands a data constitution, not better prompts

1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump ...
JD Supra

Taming Modern Data Challenges: Structured Data

Discovery of structured data for litigation and investigations isn’t new, however, the proliferation of enterprise-wide ...

Yes, you can build an AI agent - here’s how, using LangFlow

Since ChatGPT made its debut in late 2022, literally dozens of frameworks for building AI agents have emerged. Of them, ...
Ministry of Testing

Beyond data generation: How I learned to trust synthetic data in performance testing

The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...

Airtable's Superagent maintains full execution visibility to solve multi-agent context problem

Airtable co-founder Howie Liu explains how maintaining full execution visibility solves the context management challenge in multi-agent systems.
InfoWorld

TypeScript levels up with type stripping

Say goodbye to source maps and compilation delays. By treating types as whitespace, modern runtimes are unlocking a “no-build” TypeScript that keeps stack traces accurate and workflows clean.
CIO

Enterprise AI and the semantic core: Building an OS for knowledge

Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.
Security Boulevard

Cryptographic Agility for Contextual AI Resource Governance

Master cryptographic agility for AI resource governance. Learn how to secure Model Context Protocol (MCP) with post-quantum ...
Security Boulevard

Anomaly Detection in Post-Quantum AI Orchestration Workflows

Discover how to secure AI orchestration workflows using post-quantum cryptography and AI-driven anomaly detection for Model Context Protocol (MCP) environments.