SCC Comets

Tess Rempel May, 24 2026 Artificial Intelligence

E-commerce Personalization Using Generative AI: Dynamic Copy and Merchandising

Discover how generative AI transforms e-commerce with dynamic copy and personalized merchandising. Learn about implementation costs, platform choices like Shopify Magic, and the future of 1:1 customer engagement.

Tess Rempel May, 23 2026 Artificial Intelligence

Action Verification and Retries in LLM Agent Execution Loops: A Practical Guide

Learn how to build reliable LLM agents using action verification and smart retries. Explore VeriMAP, loop prevention, and idempotency to stop cascading failures.

Tess Rempel May, 22 2026 Artificial Intelligence

How Data Analysts Are Automating Dashboards with Vibe Coding Tools in 2026

Discover how data analysts are using vibe coding tools like Glide and Bubble to automate dashboards in 2026. Learn the pros, cons, and step-by-step guide to building AI-driven reports.

Tess Rempel May, 21 2026 Artificial Intelligence

How Generative AI Automates Claims Letters and Risk Narratives in Banking & Insurance

Discover how generative AI transforms banking and insurance by automating claims letters, enhancing risk narratives, and detecting fraud. Learn about cost savings, compliance benefits, and implementation challenges in 2026.

Tess Rempel May, 20 2026 Artificial Intelligence

Traffic Shaping and A/B Testing for LLM Releases: A Deployment Guide

Master LLM deployment with traffic shaping and A/B testing. Learn how to mitigate risks, manage costs, and ensure safety during model releases using modern LLMOps strategies.

Tess Rempel May, 19 2026 Artificial Intelligence

How to Fine-Tune LLMs Cheaply: LoRA vs Adapters Guide

Learn how to fine-tune large language models cheaply using LoRA and Adapters. Compare performance, latency, and hardware requirements for PEFT techniques in 2026.

Tess Rempel May, 18 2026 Artificial Intelligence

Understanding Bias in Large Language Models: Sources, Types, and Risks

Explore the sources, types, and real-world risks of bias in Large Language Models. Learn how data selection, architectural flaws, and deployment contexts create unfair outcomes in hiring, healthcare, and law, and discover proven mitigation strategies.