back
Why Your Company Needs a Chief Data, Analytics, and AI Officer
Get SIGNAL/NOISE in your inbox daily
Who should be in charge of data, analytics, and AI? While there are many possible divisions of responsibility and reporting structures, a combined role—the CDAIO (Chief Data, Analytics, and AI Officer)—will best prepare organizations as they plan for AI going forward. To succeed, this role needs a clear mandate that includes owning AI strategy, preparing for a new class of risks, developing the AI tech stack, ensuring the company’s data is ready for AI, creating an AI ready culture, developing talent and partnerships, and generating significant ROI on AI investments. Given the emphasis on business value creation, in most cases CDAIOs should be positioned closer to business functions than to technology operations.
Recent Stories
Jan 13, 2026
Marvell’s $3.8B Play For Next-Gen AI Data Center Market
Marvell's $3.8B acquisitions of Celestial AI and XConn target optical interconnects and CXL switching for next-gen AI infrastructure, challenging Broadcom's dominance.
Jan 13, 2026Apple faces critical shortage as AI boom strains supply chain
Apple has been scrambling to solve a glass cloth shortage, with the supply crunch projected to last until at least the second half of 2027.
Jan 13, 2026Deploying AI agents is not your typical software launch – 7 lessons from the trenches
Top-level actions include giving agents the right amount of freedom and rethinking traditional ROI. Industry leaders share their own experiences.