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...
Practical assessments in AI hiring: Why puzzles are out and projects are in
For years, technical interviews in the data and AI space relied on algorithm puzzles and whiteboard drills.
...
Scaling AI with FinOps: Smarter infrastructure for enterprises
As organizations race to embed artificial intelligence into their operations, many are finding that the biggest...
AI governance: Why compliance is now the license to operate
Artificial intelligence is moving from experimentation to enterprise adoption, but regulation is catching up fast.
From pilots to production: GenAI’s 2025 turning point
For much of the last two years, generative AI has lived in the pilot phase.
Teams tested customer-facing...