Tag: AI
AI Pricing Isn’t Broken. Your Context Might Be.
AI pricing is increasing, but the real problem is token waste. Enterprises are overspending because poor data architecture forces models to process too much irrelevant context. Better retrieval, semantic enrichment, rules, and governance reduce cost, improve accuracy, and make AI more scalable.
Why AI Costs Spike After the First Use Cases
In this blog, we take a look at why AI costs accelerate so quickly after initial implementation success and how a modular approach to Agentic RAG can transform isolated pilots into a scalable, sustainable foundation for enterprise AI.
Beyond Efficiency: Kyle Lacy on AI, Upskilling and the Future of Marketing Teams
ICYMI: Kyle Lacy catches up with 10 Minute Martech on why AI success depends on people, not just tools.
How Retrieval Improves Accuracy and Reduces Hallucination in AI
Here’s how retrieval-based grounding works to reduce hallucinations and generate answers with better context.
Context Is the New Strategy: Chae O’Brien on AI, Signal vs. Noise & the Future of Go-to-Market
ICYMI: Chae O’Brien catches up with 10 Minute Martech on why AI without context is just noise.
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