Mark Warrick

I Bridge the Gap Between Business and Technology to Solve Problems and Make Goals Happen

Retailers Need to Prepare Now for the 2026 Holiday Season

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As artificial intelligence reshapes how consumers discover and purchase products, retailers face a critical infrastructure decision: how to make their content accessible to large language models. The llms.txt file—a standardized format that helps AI systems find and present targeted content—has emerged as an essential tool. However, the technical realities of AI training cycles mean retailers … Read more

When Hackers Hack the Hiring Bots: The Dark Art of ATS Sabotage

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It’s midnight. Somewhere in a coffee-stained basement, a figure hunched over a glowing screen is *not* breaking into the Federal Reserve. No, tonight’s mission is more ambitious: tricking Rob, the semi-sentient Resume Sorting Algorithm who stands between them and the temp job at DeadCo Corp. This is the underworld of ATS hacking—where resumes become malware … Read more

How AI Models Work

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Briefing: How Artificial Intelligence Models Work Executive Summary This document provides a comprehensive overview of Artificial Intelligence (AI) models, synthesizing their fundamental concepts, operational lifecycle, key challenges, and future trajectory. AI enables machines to perform tasks requiring human intelligence, primarily through Machine Learning (ML) and Deep Learning (DL). ML algorithms learn patterns from data without … Read more

AI Trends and Developments in 2025: The Most Important Advances

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Agentic AI: The Rise of Autonomous Systems The most significant trend in 2025 is the emergence of agentic AI – autonomous AI systems that can plan, reason, and execute complex tasks with minimal human oversight[1][2]. Unlike today’s chatbots and assistants that require constant prompting, agentic AI can work independently to complete multi-step workflows[1]. Deloitte predicts … Read more

The Anatomy of AI Project Failure

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A vast majority of AI projects fail to achieve their intended objectives, deliver measurable business value, or even reach production. Success rates are often reported as below 10%, with some studies citing 80–95% of AI projects failing to reach production or provide measurable profit/loss impact. I. Core Reasons for AI Project Failure A recurring set … Read more

SalesForce Replaces 4,000 Humans with AI

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In a recent video (https://www.youtube.com/watch?v=0RkNkGihrvc&t=28s) Marc Benioff discusses the transformative impact of AI agents on Salesforce and the broader enterprise landscape, highlighting the past eight months as “eight of the most exciting months” of his career. Key takeaways • Internal AI Adoption and Headcount Rebalancing: Salesforce has embraced AI as “customer zero” for its agentic … Read more