SCC Comets

Tess Rempel Oct, 11 2026 Artificial Intelligence

Accessibility Risks in AI-Generated Interfaces: WCAG and Real-World Failures

Discover why AI-generated interfaces often fail WCAG standards and how to fix common accessibility risks. Learn from real-world failures and best practices.

Tess Rempel Oct, 10 2026 Artificial Intelligence

Capacity Planning for Seasonal Peaks in Large Language Model Usage

Learn how to forecast and manage LLM seasonal peaks using predictive scaling, token-aware metrics, and workload segmentation to maintain SLAs and cut costs.

Tess Rempel Oct, 9 2026 Artificial Intelligence

Self-Consistency Decoding: Boosting LLM Reliability with Multi-Sample Reasoning

Learn how self-consistency decoding boosts LLM reliability by generating multiple reasoning paths and using majority voting. Discover implementation tips, limitations, and when to use this technique for complex tasks.

Tess Rempel Oct, 8 2026 Artificial Intelligence

Prompt Robustness: Handling Noisy Inputs in LLM Systems

Discover why clean test data fails in production and how to build resilient LLM systems. Learn about prompt robustness techniques like MoF and RoP.

Tess Rempel Oct, 7 2026 Artificial Intelligence

Legal Services and Generative AI: Document Automation, Contract Review, and Knowledge Management

Discover how Generative AI transforms legal services through document automation, contract review, and knowledge management. Learn about efficiency gains, security, and top platforms.

Tess Rempel Oct, 6 2026 Artificial Intelligence

Low-Risk Vibe Coding Use Cases for Enterprise Back-Office Functions

Discover how vibe coding transforms enterprise back-office functions. Learn low-risk use cases for automation, documentation, and compliance with proper governance.

Tess Rempel Oct, 5 2026 Artificial Intelligence

Contact Center Analytics with LLMs: Sentiment and Intent Detection

Discover how Large Language Models transform contact center analytics by detecting nuanced sentiment and evolving customer intents. Learn why specialized LLMs outperform general models and how to automate insights for better CX.

Tess Rempel Oct, 4 2026 Artificial Intelligence

Why 92% of US Developers Now Use AI Coding Tools Daily

Discover why 92% of US developers now rely on AI coding tools daily. Explore the productivity stats, security risks, and how tools like GitHub Copilot are reshaping software engineering workflows.

Tess Rempel Oct, 3 2026 Artificial Intelligence

Talent Strategy for Generative AI: Hiring, Upskilling, and Communities

Struggling with AI adoption? Discover how hiring hybrid talent, cohort-based upskilling, and Communities of Practice drive success. Learn why internal mobility beats expensive external hires and how to redesign roles for human-AI collaboration.

Tess Rempel Oct, 2 2026 Artificial Intelligence

Prompt Metrics for Generative AI: Measuring Clarity, Coverage, and Compliance

Stop guessing if your AI prompts work. Learn how to measure Clarity, Coverage, and Compliance with concrete metrics. Transform prompt engineering from an art into a science.

Tess Rempel Oct, 1 2026 Artificial Intelligence

Streaming vs Batch AI Responses: Accuracy, Hallucinations, and UX

Discover how streaming vs batch responses in Generative AI impacts accuracy, hallucination visibility, and user experience. Learn when to prioritize speed over validation.

Tess Rempel Sep, 30 2026 Artificial Intelligence

Self-Supervised Learning for Generative AI: Pretraining and Fine-Tuning Guide

Discover how Self-Supervised Learning powers Generative AI. Learn the difference between pretraining and fine-tuning, real-world applications, and tools to build efficient AI models.