Tenth Revolution Group Blog

What it takes to control cost and risk in AI-ready cloud delivery
Find out how platform engineering, FinOps, and AI-optimized infrastructure help leaders control cost, risk, and compliance in cloud delivery.

The end of silos: How real-time lakehouse platforms deliver cost-efficient data at scale
Learn how open table formats and the convergence of lakehouse and streaming are standardizing real-time, cost-efficient data platforms for enterprises.

Can your business trust GenAI in production? What governance and evaluation frameworks reveal
GenAI is moving fast, and enterprises no longer have the option to sit back and watch. Here’s how a combination of agents, RAG 2.0, and

ERP selection in 2025/26: A finance leader’s guide to getting it right
Learn how CFOs can approach ERP selection in 2025/26. Explore partner choice, marketplaces, total cost of ownership, and how to reduce implementation risk.

CRM in 2025: How lean, low-code platforms and AI are reshaping the market
Discover why CRM buying in 2025 is shifting to lean, low-code platforms with embedded AI. Learn which options deliver speed, value, and adaptability.

Planning for 2026? Why every business leader needs a fractional Chief AI Officer
A fractional CAIO helps sales, marketing, finance, HR, and operations leaders embed AI into 2026 strategies with measurable results. Here’s how.

What it really takes to operationalize GenAI in your business
Learn how to move from GenAI pilots to production with LLMOps, RAG 2.0, and agentic workflows. Discover what executives should prioritize in 2025.

Lakehouse unlocked: Building the foundation for real-time, AI-ready data
Learn why open lakehouse, streaming, and zero-ETL platforms are replacing legacy data stacks and powering AI-ready, real-time business operations.

The hidden costs of AI: How your business can take control of GPUs and inference spend
Discover why AI costs are unpredictable and how FinOps, GPU orchestration, and governance help businesses control training and inference at scale.