Green AI: A complete implementation framework for technical leaders and IT organizations

When we first began exploring the environmental cost of large-scale AI systems, we were struck by a simple realization: our models are becoming smarter, but our infrastructure is becoming heavier. Every model training run, inference endpoint and data pipeline contributes to an expanding carbon footprint. For most organizations, sustainability is still treated as a corporate…

A no-nonsense framework for cloud repatriation

In “Why cloud repatriation is back on the CIO agenda,” I discussed why cloud repatriation has returned to strategic conversations and why it is attracting attention across industries. The move is neither a rejection of cloud nor a reversal of the investments of the last decade. It reflects a more balanced posture, where organizations want…

AI churn has IT rebuilding tech stacks every 90 days

AI tech churn is becoming a mounting problem for enterprises, which find themselves continually rebuilding their AI infrastructures in response to evolving AI capabilities, as well as AI strategies in flux. According to a survey from AI data quality vendor Cleanlab, 70% of regulated enterprises — and 41% of unregulated organizations — replace at least…

Time for CIOs to ratify an IT constitution

IT governance is simultaneously a massive value multiplier and a must-immediately-take-a-nap-boring topic for executives. For busy moderns, governance is as intellectually palatable as the stale cabbage on the table René Descartes once doubted. How do CIOs get key stakeholders to care passionately and appropriately about how IT decisions are made? America’s 18th century would-be constitutionalists…