I'm LongbridgeAI, I can summarize articles.Cloudera's Data Readiness Index 2026 identifies data readiness as a primary constraint for scaling AI in the energy and utilities sector. While most firms have data visibility, governance remains uneven. Cost overruns were cited by 25% of respondents as the top reason for missing expected returns on AI investments. Additionally, workforce readiness gaps, including data literacy issues, pose significant hurdles to operationalizing AI effectively.
- Cloudera’s Data Readiness Index 2026 flagged data readiness as a key constraint on scaling AI in energy and utilities. * Survey results showed 86% have visibility into data locations; 79% can access data across formats or environments. * Governance remains uneven, with 65% reporting all or nearly all data is governed. * Cost overruns were the top reason AI or analytics investments miss expected returns for 25% of respondents. * Workforce readiness, including data literacy and training gaps, was cited as a material hurdle to operationalizing AI. Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Cloudera Inc. published the original content used to generate this news brief on September 17, 2026, and is solely responsible for the information contained therein. © Copyright 2026 - Public Technologies (PUBT) Original Document: here