This Week in Data and AI Readiness: AI Enterprise Study, New NIST Cybersecurity Guidelines for AI, More
Here are five items you don’t want to miss this week, including a survey showing enterprises racing into AI without readiness, draft U.S. model-security rules poised to reshape AI governance, and new research on the real business impact of generative AI.
NIST Issues Draft Cybersecurity Guidance for AI
The U.S. National Institute of Standards and Technology recently released draft cybersecurity guidelines tailored for AI systems. The proposal extends its AI Risk Management Framework with expectations around model provenance, data integrity, logging, and incident response, signaling more prescriptive oversight for AI deployment and governance. NIST
Enterprise AI Usage Widely Adopted, But Scaling Lags
According to a global survey reported on by PureAI.com, 71 percent of businesses are piloting or already using AI, yet only 30 percent feel ready to scale initiatives across the enterprise. Key barriers include shortages in AI talent, unpredictable LLM costs, and persistent privacy and compliance worries. Organizations say they plan to invest in talent, data quality, security, and infrastructure, but readiness still trails adoption. PureAI
Data Readiness as a Trust Issue
An analysis in Intelligent CIO North America argues that inconsistent, unstructured, or poorly governed data undermines AI trust, even in straightforward use cases such as contract retrieval. The piece emphasizes structured, enriched, accessible, and well-governed data as prerequisites for dependable outcomes. Intelligent CIO North America
Enterprise AI Adoption Rises While Governance Lags
TechRadar Pro reports that one in four enterprise applications now features AI, but many organizations lack core governance practices. With limited use of AI firewalls and continuous data labeling, compliance and reliability risks remain as adoption expands. TechRadar Pro
The Impact of Generative AI on Business
A new TDWI research brief examines how generative AI is reshaping organizations, highlighting both measurable value and persistent risks. Findings point to productivity gains and expanding use cases alongside governance gaps and uneven maturity, reinforcing that readiness is the differentiator between hype and sustainable impact. TDWI Research Brief