David Kim

AI Solutions Architect at Performalytic

David writes about AI agents, retrieval-augmented generation, and the data foundations enterprises need to run AI in production. He focuses on architecture decisions, evaluation, and governance.

generative AIRAG architectureAI agentsagentic AIAI governancemachine learning

Articles by David Kim

6 published guides on enterprise data, analytics, and AI.

Agentic AI in Database DevOps: A Practical Guide for 2026

Agentic AI plans, drafts, tests, and reviews database changes - humans approve. See where it works today, where it fails, and how to deploy it safely.

Oct 8, 2026 · 14 min read

AI-Based Master Data Management: The Complete Guide for 2026

How AI transforms master data management — from entity resolution and survivorship to golden record automation — and how AI-based MDM differs from legacy platforms.

Sep 26, 2026 · 14 min read

How to Choose the Right Analytics Platform: A Decision Guide for Enterprise Leaders

Choosing an analytics platform is a big decision. This practical guide walks you through the key factors enterprise leaders should evaluate.

Aug 5, 2026 · 9 min read

Master Data Management in the AI Era

How MDM has evolved from batch processes to real-time, AI-powered entity resolution for Customer 360 and Product 360.

Jul 21, 2026 · 12 min read

AI Agents in the Enterprise: From Copilots to Autonomous Workflows

How agentic AI workflows differ from copilots, key architecture patterns, and best practices for enterprise deployment.

Jul 19, 2026 · 15 min read

How AI is Transforming Business Intelligence: Trends to Watch

Explore how artificial intelligence is revolutionizing business intelligence from automated data preparation to predictive analytics.

Mar 22, 2026 · 6 min read

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