Evaluations Are the Spec for an LLM Feature
Aaron Wise
LLM evaluation sets are the spec: write twenty good-answer test cases before building, with product owning the bar and engineering keeping it green.
Category
Data Science
Articles
Beyond Words: How NLP Turns Flat Text into Context
Aaron Wise
NLP adds context to flat text through statistical and neural models, enabling machines to act on meaning rather than symbols.
Compressing the Clock: Scaling from Data Disarray to AI Impact in 18 Months
Aaron Wise
Azure builds a reliable AI platform by combining native services with third-party tools, structured environments, and a cross-functional team.
LLMOps: Turning Chatbots into Production-Grade Systems
Aaron Wise
LLMOps is the essential framework for transforming experimental chatbots into reliable, production-ready systems.
From Notebook to Production: The Art and Science of MLOps
Aaron Wise
MLOps bridges ML experimentation and production by systematizing pipelines, governance, and monitoring to ensure reliability and scalability.
MLOps vs. LLMOps: Choosing Between MLOps and LLMOps for Business Impact
Aaron Wise
MLOps industrializes predictive models, while LLMOps operationalizes large language models for generative tasks.
Stop Moving Data and Start Moving Fast: Why Modern Data Teams Are Going Zero and Loving It
Aaron Wise
Modern data teams are adopting DataOps and Zero-ETL to eliminate fragile pipelines, reduce latency, and enable real-time decision-making.
From Flat to Fluent: How 3D Data Adds Depth to Decision-Making
Aaron Wise
3D data adds depth to decision-making by structuring information across multiple dimensions for richer context and clearer insights.
The Data Moat Playbook: How Data Becomes a Business Moat
Aaron Wise
Data becomes a durable moat when refined into unique insights, governed well, and aligned with business outcomes.
Data Without Context Is Just Noise: A Deep Dive Into Catalogs and Lineage
Aaron Wise
Data catalogs and lineage tools build trust and speed by embedding metadata directly into data workflows.
Better Than Before: Selling the Business on Dark Data Done Right
Aaron Wise
Dark data becomes a strategic asset when product managers transform it into actionable insights that improve decision speed and accuracy.
The Sunk Cost of Intelligence: Lessons from AI’s Failures and False Starts
Aaron Wise
AI projects fail not because the models are flawed, but because organizations ignore data quality, business alignment, and long-term operational costs.
From Fine-Tuning to Protocol Wars: Building the LLM Tech Stack That Lasts
Aaron Wise
LLM systems that last combine fine-tuned models, embeddings, vector databases, and protocols like MCP and ACP for reliable collaboration.
Future-Proof or Fool’s Errand? How to Architect for Evolution Without Over-Engineering
Aaron Wise
Architect for evolution by balancing loose coupling, fitness functions, and incremental changes rather than over-engineering for hypothetical futures.
When Models Wander: Managing Drift in ML and LLM Systems
Aaron Wise
Model drift in ML and LLM systems demands continuous monitoring, evaluation, and retraining to keep outputs relevant and aligned with real-world changes.
The Secret Life of Data: How Labels, Embeddings, and Vector DBs Power Intelligence
Aaron Wise
Modern AI depends on integrated ecosystems of labeling, embeddings, vector databases, and feature stores not isolated tools.
When Prompts Attack: Building Defensible LLM Infrastructure
Aaron Wise
LLM security requires layered guardrails across the AI software development lifecycle to prevent injection, leakage, and abuse.
Data as a Product: Building Assets, Not Just Pipelines
Aaron Wise
Data as a product means applying ownership, SLAs, and iteration to datasets, APIs, and insights to deliver consistent value.
From Swamps to Systems: How Data Fabric and Mesh Reimagine Trust and Scale
Aaron Wise
Data fabric unifies hybrid environments through automation; data mesh decentralizes ownership by treating data as a product.
Governance That Works: A Practical Cookbook for Modern Data Leaders
Aaron Wise
Data governance succeeds by proving value at each stage through measurable improvements like reduced errors, faster decisions, and aligned definitions.
Non-Invasive to Federated: A Roadmap for Governance That Scales with Your Business
Aaron Wise
Federated governance scales trust by letting teams own data products while aligning to shared standards.
In Data We Trust: Building Confidence from Lineage to Leadership
Aaron Wise
Trust in data comes from transparency in quality, lineage, accessibility, and accountability.
Numbers Don’t Lie—But They Do Mislead: A Guide to Doing Data Right
Aaron Wise
Data exploration turns curiosity into clarity, but only with rigor, reproducibility, and cross-functional alignment.
Too Many Clouds, Not Enough Umbrellas: Taming Hybrid Multicloud Chaos
Aaron Wise
Hybrid multicloud demands intentional governance, platform engineering, and unified observability to avoid accidental complexity.