## Thoughts

# All Blogs

### Thought Leadership by Improvers Around the World

## Latest Blogs

**Top 10 Reasons AI Projects Fail (and How to Avoid Them)**  
Discover the 10 most common reasons AI projects fail and how to build the structure, discipline, and strategy to flip the odds in your favor.

**Closing the AuthZ Gap in MCP: Policy-Driven Tool Invocation Control**  
Model Context Protocol (MCP) tools give AI agents direct access to production databases, internal APIs, and third-party platforms. But most teams deploying MCP today have no answer to a simple question: who authorized that tool call?

**Why AI Pilots Fail to Scale**  
Successful AI integration requires redesigning work processes to for usability, trust, and measurable business outcomes.

**Data Debt Is the Real Reason Your AI Predictions Don’t Improve**  
Data debt is quietly ruining your AI initiatives. Get a deep dive into how it happens, why it happens, and the strategies teams use to resolve it.

**Bridging the Gap: How a Product Person Learned to Build With Agentic AI**  
A product leader shares how building with agentic AI led to better decisions, clearer thinking, and stronger teams.

**Agent Memory Systems: Building Long-Term Context for AI**  
A quick overview of agent memory, why it matters, how it works, and how it helps AI agents maintain context and continuity across workflows and conversations.

**Powering Modern Enterprises Part 4: Modern Applications for Resilient, Scalable Software**  
Build scalable, secure modern apps that modernize legacy systems and accelerate innovation through cloud and DevOps.

**Architecting the AI‑Driven Business Model: Beyond Automation**  
Apply AI to improve value through strong data, security and oversight, and reduced friction to speed decisions.

**Embedding AI Into Daily Development: What Software Engineers Actually Learn**  
What senior engineers actually learn when they embed AI into daily development: from killing the cold start to the 3,000-test migration.

**Google Cloud Next ’26: Advancing Enterprise AI with Gemini Enterprise, Agentic AI, and Strategic Partnerships**  
Google Cloud Next 26 shows enterprise AI in action, with Gemini and agentic platforms driving secure, scalable adoption.

**OWASP Top 10 for LLMs: A Practitioner’s Implementation Guide**  
Explore the OWASP Top 10 for LLMs and learn how to identify, prioritize, and mitigate key AI risks including prompt injection, data leakage and tool misuse.

**From “Tell Developers What To Build” To “Co‑Create With Machines”**  
Generative AI is quietly rewriting what it means to be “on the business side” of a product team.