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AI readiness dominated conversations at the Gartner 2026 Data and Analytics Summit, according to TechTarget.
Industry experts outlined actionable strategies to achieve robust data readiness for artificial intelligence systems. These practices emphasize the importance of high-quality, well-organized data to power next-generation AI initiatives. As enterprises prioritize AI integration, investing in foundational data processes is increasingly critical. The event highlighted a consensus: successful AI deployment relies on disciplined data management and planning.
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These discussions around data integrity and AI deployment build upon broader concerns, such as the heightened vulnerability of manufacturers to ransomware attacks exploiting gaps between IT and operational technology, as detailed in recent reporting on increased ransomware attacks on manufacturers. Furthermore, the strategic complexities of advancing AI initiatives echo themes explored in the Agentic AI thought experiment from CitriniResearch, which continues to inform the debate on future business risks and organizational preparedness.