Presentations & Talks

Technical presentations and conference talks on AI, machine learning, NLP, and software engineering best practices.

Total Presentations

Total Slides

Topics

2025-2026

Year Range

All Presentations

July 9, 2026

Arkade · Bentonville

Every Demo Works. Production Doesn't.

Building Buy-it.ai — engineering lessons from deploying AI in commerce

A keynote from Arkade (Bentonville, July 2026) on the gap between an AI demo and a production system, told through building Buy-it.ai — the AI commerce layer for creator-led shopping. Five hard-earned lessons from shipping computer vision and language models in live commerce, plus a practical Monday-morning playbook.

28 slides30 minRetail leaders, AI engineers, founders, product managers

AIComputer VisionLLMCommerceMLOpsProduction AICreator EconomyCase StudyKeynote

Key takeaways

The gap between demo and production is where AI budgets die
Data quality beats model size — the labels are the model
AI without workflow = no value — the model is the ingredient, workflow is the recipe

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January 15, 2025

Technical Workshop

Beyond the Hype: Research-Proven Ways to Dodge LLM Project Failure

Evidence-based strategies from real-world failures and academic research

An evidence-based guide to avoiding common pitfalls in LLM projects, drawing from both academic research and real-world case studies. This presentation synthesizes findings from 50+ academic papers, industry reports from leading organizations (Gartner, McKinsey, MIT CISR, RAND), and real-world failure case studies to provide actionable strategies for successful AI implementation.

44 slides60 minAI Engineers, Technical Leaders, Product Managers, CTOs, Data Scientists, Researchers

AILLMGenAIMachine LearningMLOpsAI Failure PreventionResearch-BasedCase StudiesBest PracticesMulti-Agent SystemsPrompt EngineeringROIEnterprise AI

Key takeaways

Start with business value: Define clear objectives and metrics before technology selection
Invest in data quality: Data quality is the foundation of AI success
Address hallucinations: Use RAG, human oversight, and validation systems

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Topics Covered

AIAI Failure PreventionBest PracticesCase StudiesCase StudyCommerceComputer VisionCreator EconomyEnterprise AIGenAIKeynoteLLMMLOpsMachine LearningMulti-Agent SystemsProduction AIPrompt EngineeringROIResearch-Based

All Presentations

July 9, 2026

Arkade · Bentonville

Every Demo Works. Production Doesn't.

Building Buy-it.ai — engineering lessons from deploying AI in commerce

28 slides30 minRetail leaders, AI engineers, founders, product managers

AIComputer VisionLLMCommerceMLOpsProduction AICreator EconomyCase StudyKeynote

Key takeaways

The gap between demo and production is where AI budgets die
Data quality beats model size — the labels are the model
AI without workflow = no value — the model is the ingredient, workflow is the recipe

View Presentation

January 15, 2025

Technical Workshop

Beyond the Hype: Research-Proven Ways to Dodge LLM Project Failure

Evidence-based strategies from real-world failures and academic research

44 slides60 minAI Engineers, Technical Leaders, Product Managers, CTOs, Data Scientists, Researchers

AILLMGenAIMachine LearningMLOpsAI Failure PreventionResearch-BasedCase StudiesBest PracticesMulti-Agent SystemsPrompt EngineeringROIEnterprise AI

Key takeaways

Start with business value: Define clear objectives and metrics before technology selection
Invest in data quality: Data quality is the foundation of AI success
Address hallucinations: Use RAG, human oversight, and validation systems

View Presentation