Blog & Resources
Insights, trends, and best practices in AI development, data management, and technology leadership.
15 articles available
The AI Agent Platform Wars: What You Need to Know
In six weeks, we've seen OpenAI launch Frontier, Anthropic release Cowork to Windows, Snowflake partner with OpenAI, and Salesforce rebrand around Agentforce 360. Here's our read on what each major platform actually does and who it's for.
The Lobster Taking Over Your Feed: What Moltbot Means for Your Business
A reality check for companies watching the personal AI revolution from the sidelines. What Moltbot actually is, why the hype matters, and what you should actually do about it.
The Data Engineer's Evolving Role in an AI-First Organization
The job has fundamentally changed. Data engineers used to build systems that made data consumable by humans. Now you are building systems that make data consumable by machines, and that shift changes everything.
Your AI Is Only as Good as Your Data Pipeline
Organizations invest in AI capabilities while underinvesting in the data infrastructure those capabilities require. The result is predictable: models that worked in demos fail in production.
The Role of Human Oversight in Generative AI Systems
"Human in the loop" sounds reassuring, but oversight that isn't designed is oversight in name only. Here's how to build oversight that actually works.
Prompt Engineering Is Not a Strategy: Building Sustainable AI Capabilities
Organizations aren't struggling because their prompts are poorly constructed. They're struggling because data is a mess, processes haven't been redesigned, and governance is absent.
How to Evaluate AI Vendors Without Getting Burned
Traditional procurement frameworks fail for AI. Learn the questions vendors hope you won't ask and the contract terms that actually protect you.
RAG vs. Fine-Tuning: Choosing the Right Approach for Your Use Case
Should you retrieve context at query time or train it into the model? A practical framework for the most consequential AI architecture decision.
The Hidden Costs of Generative AI: What Vendors Won't Tell You
Licensing fees are just the down payment. Learn the real costs of data prep, infrastructure, talent, and maintenance that can push AI budgets 3-5x over initial estimates.
Beyond Chatbots: Seven Generative AI Applications Actually Delivering ROI
Chatbots are the tree that obscures the forest. Seven AI applications, from code generation to clinical documentation, deliver measurable ROI while most organizations chase the obvious.
Building Your 2026 AI Roadmap: A Framework for Prioritization
Ambition without prioritization leads to disappointment. This framework helps you evaluate AI initiatives across impact, feasibility, and alignment, so you focus on what matters.
What We Learned From the Industry in 2025
The industry taught generously in 2025. We synthesize the hardest-won lessons from practitioners, researchers, and enterprise leaders, on AI failure rates, data quality, and the path from pilot to production.
Five AI Predictions That Will Shape Enterprise Strategy in 2026
From tooling consolidation to governance maturity, these five AI trends will define enterprise technology decisions this year. Here's what to watch, and what to do about it.
2026: The Year Data Strategy Becomes Non-Negotiable
The gap between data-capable organizations and everyone else has grown too wide to ignore. 2026 demands honest assessment, solid data foundations, and disciplined execution before AI and regulation outpace you.