Cloudera has presented a research report on AI integration in companies and the expansion of its Enterprise AI ecosystem.
Cloudera presented a new research report, The Evolution of AI: The State of Enterprise AI & Data Architecture, at the EVOLVE25 NY event. It shows that 96 percent of companies are already using AI in their core processes. A hybrid data architecture plays a key role in secure and scalable implementations.
AI Usage Grows, Hybrid Approach Gains Ground
In a global survey, Cloudera asked more than 1,500 IT decision-makers about AI deployment within their organization. The majority indicates that AI is now structurally embedded in business processes. While this was 88 percent in 2024, now 96 percent say they have integrated AI to some extent. Seven out of ten companies also report that their AI initiatives are already yielding concrete successes.
For companies where AI integration isn’t progressing as smoothly, Cloudera is expanding its Enterprise AI ecosystem with new partners including ServiceNow, Fundamental, Gelileo.ai and Pulse. This way, it aims to provide complete and production-ready AI solutions.
Not just genAI
Companies are implementing various forms of AI. Generative AI is mentioned most frequently (60%), followed by deep learning (53%) and predictive models (50%). 67 percent of IT managers feel better prepared to manage new AI technologies than a year earlier, such as AI agents.
The increasing AI integration correlates with a shift toward hybrid data architecture. Companies are combining cloud and on-prem environments to achieve more control, security, and scalability. Respondents cite security (62%), improved data management (55%), and enhanced data analysis (54%) as the main benefits of this approach.
Security and Data Access Remain Challenges
Despite growing adoption, obstacles remain. Data breaches during AI model training (50%), unauthorized access (48%), and the use of unsafe third-party tools (43%) concern IT decision-makers. Only 24 percent of respondents have very high confidence in the security of data within AI systems.
Additionally, data access remains a bottleneck. Only 9 percent of companies say all data is available and usable for AI. For 38 percent, most data is accessible, but limitations around data integration, storage performance, and computing power continue to hinder existing architectures.
While more companies are developing a data-driven culture, a majority indicates that further steps are needed to realize the full potential of AI. The report was presented during an event focused on AI and data solutions.