AI
AI agents are no longer just consuming data, they’re creating it. The next generation of data platforms must support humans and agents working together, with trust, governance, and collaboration at the core.
AI
Engineering is shifting from writing every line of code to coaching systems toward outcomes. Declarative thinking puts clarity, intent, and oversight above raw output—helping teams scale in an AI-first world.
AI
AI adoption is accelerating. The challenge is not whether to use it, but how to do it responsibly. AI governance balances innovation with responsibility—ensuring secure data, trusted outcomes, and sustainable business growth.
AI
Agentic AI shifts data & AI teams from building pipelines to orchestrating workflows, making decisions, and using metadata. It needs new team structures, AI-native tools, system-outcome focus, and closer collaboration with business and software.
Innovation
In 2025, CxOs face both risk and opportunity. AI, sovereign cloud, and data modernization drive impact, while Web3 and quantum are further out. Winning organizations balance ambition with discipline, building strong foundations while staying ready for what’s next.