... decentralized DSML efforts safely, enterprises must rely on platforms that enforce robust operations practices, implement strict guardrails and provide AI governance for risk management. This note guides chief data and analytics officers to learn from the implementation experience of their peers shared ...
Analyst(s): Peer Community Contributor
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... With ambitious growth plans for 2025, but lackluster ROI from current technology investments, CHROs feel pressure to make organizational design changes. To best prepare for technological innovation, CHROs can use this research to promote agility and center org design around future business goals. Gar ...
... technologies like generative AI with addressing heightened concerns about security, or driving the creation and reuse of common platforms and components. Complete the form to get your free copy. Trending insights and tools for product management leaders Chief product officers and their teams need critical ...
... centralized, hybrid (federated), or decentralized AI governance operating model is a critical strategic decision. AI leaders must prioritize clear decision rights, accountability, and delegated authority to enable innovation and risk management as AI maturity grows. Insights at a Glance Strategic Planning ...
Analyst(s): Svetlana Sicular | Whit Andrews | Mike Rollings
... The AI job apocalypse narrative claims that AI will wipe out jobs, crater wages, and dry up spending. However, economic history and enterprises’ activities right now indicate that AI is triggering a transformation — not an end. CIOs must prepare effectively, approaching it like shockwave realists. Insights ...
Analyst(s): Jeff Cribbs | Helen Poitevin | Brook Selassie
... AI applications and AI agents rely on a complex set of third-party models, vector databases, and orchestrators. This research defines five steps to help CISOs secure the life cycle of AI assets from development to autonomous execution to ensure supply chain security. Insights at a Glance Strategic Planning ...
... AI will touch most finance work, but its impact is uneven and more human-involved than many anticipate. This research maps the task-level AI automation potential across finance to give CFOs granular insight into the work AI will change and the effort necessary to make that possible. Insights at a Glance ...
... Most procurement organizations pursue AI initiatives for potential cost savings and efficiency improvement, overlooking AI’s transformative potential. To elevate procurement as a strategic function, CPOs must also look ahead to other value-add opportunities that AI can unlock, such as those explored here ...