SCC Comets

Tess Rempel Sep, 9 2026 Artificial Intelligence

Autonomous Coding Agents: Opportunities and Risks for Production Systems in 2026

Discover how autonomous coding agents like Devin boost development speed by 3-4x but introduce significant security risks. Learn strategies to manage AI code vulnerabilities.

Tess Rempel Sep, 8 2026 Artificial Intelligence

Generative AI Strategy for the Enterprise: Vision, Roadmap, and Operating Principles

Move beyond pilot purgatory with a concrete generative AI strategy. Learn the five-phase roadmap, architectural choices like RAG, and governance principles that drive measurable ROI.

Tess Rempel Sep, 7 2026 Artificial Intelligence

Verification Inside Large Language Models: How Internal Checks Reduce Errors

Discover how internal verification techniques like self-consistency and process supervision reduce LLM errors. Learn to implement internal checks for more reliable AI.

Tess Rempel Sep, 6 2026 Artificial Intelligence

System vs User Prompts in Generative AI: Structuring Instructions for Consistent Output

Discover how system and user prompts shape AI behavior. Learn to structure instructions for consistent, reliable output in generative AI applications.

Tess Rempel Sep, 5 2026 Artificial Intelligence

Comparative Prompting: How to Ask AI for Options, Trade-Offs, and Recommendations

Stop getting vague AI answers. Learn how comparative prompting forces AI to provide clear options, trade-offs, and tailored recommendations for better decision-making.

Tess Rempel Sep, 4 2026 Artificial Intelligence

Evaluation Benchmarks for Generative AI: MMLU, MMLU-Pro, and Image Fidelity

Discover how generative AI evaluation is shifting from saturated MMLU scores to rigorous MMLU-Pro reasoning tests and specialized image fidelity metrics.

Tess Rempel Sep, 3 2026 Artificial Intelligence

Ethical Review Boards for Generative AI: Process, Criteria, and Outcomes

Discover how ethical review boards safeguard generative AI projects. Learn the process, criteria, and outcomes of responsible AI governance.

Tess Rempel Sep, 2 2026 Artificial Intelligence

Data Minimization Strategies for LLM Prompt Design

Learn how to protect user privacy in LLMs by minimizing prompt data. Discover strategies like redaction and abstraction, and understand how model size affects utility.

Tess Rempel Sep, 1 2026 Artificial Intelligence

GPU Selection for LLM Inference: A100 vs H100 vs CPU Offloading

Compare NVIDIA A100, H100, and CPU offloading for LLM inference. Discover cost-efficiency metrics, performance benchmarks, and implementation tips for 2026.

Tess Rempel Aug, 31 2026 Artificial Intelligence

Generative AI in Automotive: Design, Diagnostics, and Connected Experiences

Discover how generative AI transforms automotive design, diagnostics, and connected experiences. Learn about workflow shifts, key vendors like NVIDIA and AWS, and implementation strategies for 2026.

Tess Rempel Aug, 30 2026 Software Architecture

Modularizing AI Logic: How to Extract, Isolate, and Simplify for Maintainability

Stop fighting brittle monolithic AI. Learn how to extract, isolate, and simplify AI logic using modular architectures for better maintainability, accuracy, and explainability.

Tess Rempel Aug, 29 2026 Artificial Intelligence

Benchmarking Cost per Correct Answer for LLM Reasoning Tasks

Discover how to calculate and optimize cost per correct answer for LLM reasoning tasks. Learn why accuracy alone isn't enough and how token efficiency impacts your bottom line.