Why every business leader needs a fractional Chief AI Officer
AI isn’t an IT project anymore. It’s a business capability that touches every function.
Sales leaders are...
What it really takes to operationalize GenAI in your business
Generative AI is no longer just about experiments and proofs of concept; it’s about scaling responsibly.
Yet many...
The new data standard: Lakehouse, streaming, and zero-ETL
For years, businesses have wrestled with fragmented data systems that couldn’t keep pace with their needs.
Data...
The hidden costs of AI: How to manage GPUs and inference spend
Artificial intelligence might be the most exciting technology investment on your roadmap, but its costs can...
Why data governance and real-time products matter for AI
As AI and agents move from pilot projects into production, executives are raising new questions.
Models are no...
Building AI-ready infrastructure with FinOps discipline
The race to adopt generative AI has placed enormous strain on enterprise infrastructure.
Training and inference...
How AI platform engineering and LLMOps are standardizing GenAI
For much of the past two years, enterprise adoption of generative AI has been marked by excitement, but also...
Data engineering for the GenAI era: Building RAG-ready pipelines
Data engineering has always been central to analytics and reporting, but in the age of generative AI its role is...
The rise of LLMOps: Scaling generative AI with new talent
Generative AI has moved past experimentation, but scaling it across an enterprise is a different challenge...