Cloudera publishes Data Readiness Index 2026 findings for energy and utilities
18th article in the last 90 days, one of 56 articles referencing Cloudera. Previous coverage: Cloudera named a Leader in IDC’s 2026 MarketScape (Sep 2026).
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- Data Analytics / Data Science / Other
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- Data / AI Operations Leader
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- Decision Maker / Budget Holder
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- Need to Buy
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- Early Majority
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- Energy / Energy Equipment & Services / Gas Utilities / Oil & Gas
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Cloudera published findings from its Data Readiness Index 2026 focused on energy and utilities organizations, linking data readiness to outcomes when artificial intelligence is deployed. The report frames data accessibility, governance, and data operations as factors that influence whether AI initiatives reach intended results.
In parallel with modernization efforts, the report describes grid reliability initiatives and the use of AI for operating infrastructure. It says access, governance, and operationalization of data across geographically dispersed environments must also align with reliability and security, along with regulatory compliance.
Cloudera reported survey results that 86% of respondents had visibility into where their data resides and 79% said they could access their organizations data regardless of format or location. It also reported that 65% said all or nearly all of their data is governed, and it cited continued investment in data management and modernization initiatives.
The findings also highlighted issues that affected returns and data use. The report said 25% of energy and utilities respondents identified cost overruns as the leading reason AI and analytics investments failed to deliver expected returns, and it said data literacy and training were identified as an obstacle to effective data use. Morgan Bowling, Director, Global Industry AI Solutions - Industrial and Manufacturing at Cloudera, said, “Energy and utilities providers face a unique challenge: delivering safe, reliable, and affordable services while modernizing infrastructure and managing growing demand and grid complexity,” said Morgan Bowling, Director, Global Industry AI Solutions - Industrial and Manufacturing at Cloudera. “AI can play a transformative role, but only if organizations can trust and access the data that powers it. The leaders in this next phase of AI adoption will be those that create a strong data foundation capable of supporting real-time intelligence across the grid, the field, and the enterprise.” The research further said that workforce readiness challenges and infrastructure performance disruptions were compared to other sectors surveyed.
Press release, provided by Globe Newswire on behalf of Cloudera. Read the original.