Tenth Revolution Group Blog

RAG-ready organizations: Why scaling AI depends on hiring the right builders and governors
As enterprises scale generative AI, RAG-first architectures and LLMOps are redefining how leaders think about talent, governance, and reliability. Discover why scaling AI depends on

Open data, open roles: The skills business leaders need to drive value from connected platforms
As data platforms evolve, lakehouse and vector convergence are transforming analytics and talent needs. Discover how open data strategies are reshaping enterprise teams and leadership

The new cloud equation: Balancing AI ambition with GPU reality
Enterprises are learning that AI growth depends on balance. Discover how GPU strategy, cost governance, and the right cloud talent are shaping the next phase

How FinOps and platform engineering are shaping the next era of AI efficiency
Learn how FinOps and platform engineering are converging to control AI and cloud costs while improving delivery velocity.

Why AI governance and compliance are now non-negotiable for enterprises
Is your organization ready to govern AI with confidence? Learn how enterprises are strengthening AI governance, risk management, and data privacy to build safe, compliant

From proof-of-concept to production: Building reliable and governed enterprise GenAI systems
Is your organization ready to operationalize AI with confidence? Learn how enterprises are moving from GenAI proofs of concept to scalable, governed production systems built

The governance gap: Why AI leaders need policy fluency as much as technical skill
Discover how governance, security, and regulations such as the EU AI Act are reshaping enterprise AI. Learn why policy fluency and the right talent are

The true cost of intelligence: Why FinOps is the key to sustainable AI
Learn how FinOps helps enterprises manage GPU and inference costs, right-size models, and build financially sustainable AI.

LLMOps in action: What enterprise-ready GenAI really looks like in 2025
Discover how LLMOps, RAG, and governance practices help enterprises operationalize AI.