Batch vs. Streaming Needs a Latency Requirement
In the realm of data processing, two fundamental paradigms dominate: batch processing and streaming processing. Batch processing deals with data collected over a period, processing...
Data Contract Testing Needs a Breaking Change Policy
In modern data architectures, where data flows between numerous systems and teams, the concept of data contracts has emerged as a critical tool for ensuring...
Data Pipeline Reliability Needs a Freshness SLO
In the intricate world of data engineering, a data pipeline is only as valuable as the freshness and reliability of the data it delivers. Establishing...
AI Governance Committees Need Defined Authority
A committee that can only discuss and recommend is not governance. Real authority means the power to approve, block, and be held accountable.
AI Audit Readiness Needs Continuous Evidence
Scrambling to assemble evidence when an audit is announced means the evidence was never really being kept in the first place.
AI Training Data Consent Needs a Paper Trail
Using personal or proprietary data to train a model without a documented legal basis is a liability, not a technical detail.
AI Procurement Needs Security Review First
Signing an AI vendor contract before security review means the risk decision happens after the money has already moved.
AI Bias Testing Needs a Defined Population
A bias test on the wrong population proves nothing. The test population has to match who the system actually affects.
AI Explainability Needs an Audience
An explanation that satisfies an engineer will not satisfy a regulator or an affected customer. Explainability has to be built for the person asking.
Third-Party AI Tools Need a Vetting Process
Vendor AI claims are marketing until verified. A repeatable vetting process is what turns a sales pitch into an informed procurement decision.