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...
Where Generative AI Delivers Real Business Value in 2025
The generative AI conversation has shifted.
Last year’s question—”What can this technology do?”—has been...
FinOps, Governance & Data Sovereignty: Scaling AI Safely
The race to adopt generative AI and scale cloud infrastructure is hitting an unexpected bottleneck.
While...
Data Governance & Compliance Automation: What You Need to Know