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Fundamental
Trends
.. in Data, Analytics and AI
Cut through the hype. Know which data & AI trends actually matter for your business.
For data & analytics leaders, and the practitioners who support them.
Artificial Intelligence
From isolated generative AI experiments to fully autonomous Agentic AI systems capable of planning, reasoning, and acting across complex workflows — AI has moved from strategic option to operating imperative. LLMs, reasoning models, and multi-agent orchestration are now redefining every layer of the enterprise data and analytics stack.
What's Top of Mind
AI Spend and Governance
Governance over the rising cost of AI compute and API usage, covering budget guardrails, usage monitoring, and controls to keep spend accountable as adoption scales.
Interoperability
The connective tissue of the modern data stack — enabling tools, formats, and cloud platforms to work together without proprietary lock-in. Open standards like Apache Iceberg provide a universal storage layer, while a shared semantic layer enforces consistent business definitions across analytics and AI workloads, turning siloed systems into composable, trustworthy data products.
What's Top of Mind
Open Standards
Open, vendor-neutral formats and protocols — like Apache Iceberg and a shared semantic layer — that let tools, platforms, and clouds work together without proprietary lock-in.
Sovereignty
The principle that data and AI systems are governed by the laws and policies of the jurisdiction or organization that owns them. Stricter localization laws, regulated AI deployment, and demand for on-premise model control are turning sovereignty from a legal footnote into a foundational architectural constraint — requiring platforms designed for residency, compliance, and full operational independence.