Tenth Revolution Group Blog
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.
Data governance and real-time data products: Your AI questions answered
Get answers to key questions on data governance, quality, and real-time data products. Learn how lakehouse, mesh, and semantic layers enable safe and effective AI.
Building the foundations for scalable AI infrastructure
Discover how AI-ready infrastructure, GPU orchestration, and FinOps practices help enterprises scale training and inference workloads cost-effectively.
How AI platform engineering and LLMOps are standardizing GenAI
Learn how AI platform engineering and LLMOps are bringing standardization to enterprise GenAI with RAG 2.0, observability, evaluation, guardrails, and multi-model orchestration.
Data engineering for the GenAI era: Building RAG-ready pipelines
Find out why SMBs and enterprises alike need RAG-ready data engineers skilled in lakehouse tech, streaming, dbt, and vectorization to fuel generative AI.
The rise of LLMOps: Why scaling generative AI needs new talent
Learn why enterprises need LLMOps and MLOps professionals to scale generative AI. Discover how orchestration, monitoring, and governance make AI production-ready.
Why practical assessments are replacing puzzles in AI hiring
Employers now favor take-home projects, system design, and live debugging over algorithm drills. Discover why practical assessments are reshaping AI hiring.
