How to Survive AI
Principles for thriving in the age of AI, drawn from a leadership program built at MC+A.
11 posts tagged with “ai”. View all tags
Principles for thriving in the age of AI, drawn from a leadership program built at MC+A.
Why most AI projects fail and how a small, well-chartered project called Purrview succeeded.
Why context matters in RAG systems and how lack of it leads to failures.
Reflections on vibe coding, AI-assisted development, and what it means for software engineers.
Debunking the viral claim about OpenAI's model refusing to shut down.
How multi-agent systems can communicate effectively using an AI enterprise service bus.
Successful AI projects are focused on outcomes, not simply outputs. Using BDD to bridge that gap.
Integrating Adobe Experience Manager with a vector database for improved search and RAG.
How fine-tuned models and vision AI outperform general-purpose LLMs for objective coding in eDiscovery.
How to go beyond vector search with custom scoring, knowledge graphs, and learning to rank for job matching.
Understanding the differences between sparse and dense vectors and their applications in search.