Tag: generative AI
How Generative AI Is Transforming QBR Decks and Renewal Strategies in Customer Success
Generative AI is transforming QBRs from data-heavy presentations into strategic renewal tools. By automating data collection and personalizing narratives, customer success teams are doubling renewal rates while saving hours per review.
- Mar 20, 2026
- Collin Pace
- 7
- Permalink
How AI High Performers Capture Value from Generative AI: Workflow Redesign and Scaling
AI high performers don't just use generative AI-they redesign workflows to unlock real value. Learn how top companies like Klarna, Colgate, and Five Sigma cut costs, boost productivity, and scale AI by focusing on one pain point at a time.
- Mar 12, 2026
- Collin Pace
- 5
- Permalink
Representation Learning in Generative AI: How Embeddings Capture Meaning
Embeddings in generative AI turn words, images, and sounds into numerical vectors that capture meaning. They power search, generation, and detection-making AI understand context, not just keywords.
- Mar 11, 2026
- Collin Pace
- 6
- Permalink
Human Oversight in Generative AI: Review Workflows and Escalation Policies
Human oversight in generative AI ensures accuracy, compliance, and trust. Learn how to build review workflows, set risk-based escalation policies, and avoid common pitfalls that lead to AI failures.
- Feb 14, 2026
- Collin Pace
- 6
- Permalink
Prompt Metrics for Generative AI: How to Measure Clarity, Coverage, and Compliance
Measuring prompt quality isn't optional-it's essential. Learn how clarity, coverage, and compliance determine whether your AI delivers accurate, safe, and useful results every time.
- Feb 12, 2026
- Collin Pace
- 5
- Permalink
Long-Context AI: How Memory and Persistent State Are Changing AI in 2026
Exploring how AI systems now handle millions of tokens of context, enabling persistent memory across interactions. Key breakthroughs in 2026 and real-world impacts for enterprises.
- Feb 6, 2026
- Collin Pace
- 7
- Permalink
Chain-of-Thought Prompting in Generative AI: Master Step-by-Step Reasoning for Complex Tasks
Chain-of-thought prompting improves AI reasoning by making models show their work step by step. Learn how it boosts accuracy on math, logic, and decision tasks-and when it's worth the cost.
- Jan 29, 2026
- Collin Pace
- 7
- Permalink
Value Capture from Agentic Generative AI: End-to-End Workflow Automation
Agentic generative AI is transforming enterprise workflows by autonomously executing end-to-end processes-from customer service to supply chain-cutting costs by 20-60% and boosting productivity without human intervention.
- Jan 19, 2026
- Collin Pace
- 10
- Permalink
Energy Efficiency in Generative AI Training: Sparsity, Pruning, and Low-Rank Methods
Sparsity, pruning, and low-rank methods slash generative AI training energy by 40-80% without sacrificing accuracy. Learn how these techniques work, their real-world results, and why they're becoming mandatory for sustainable AI.
- Dec 17, 2025
- Collin Pace
- 10
- Permalink
Designing Multimodal Generative AI Applications: Input Strategies and Output Formats
Multimodal generative AI lets apps understand and respond to text, images, audio, and video together. Learn how to design inputs that work, choose the right outputs, and use models like GPT-4o and Gemini effectively.
- Nov 24, 2025
- Collin Pace
- 7
- Permalink