Revolutionizing Enterprise AI with Cloudera AMPs

Cloudera, a leading hybrid cloud data platform provider, is making significant strides in accelerating enterprise AI success through its Application Modernization Platforms (AMPs). Announced and expanded throughout 2025, these platforms aim to simplify AI integration, enhance data governance, and provide secure, scalable AI operations across hybrid and multi-cloud environments. This comprehensive approach helps organizations embed AI deeply into business processes, reducing complexity and accelerating time-to-value for AI initiatives.

What Are Cloudera AMPs?

Cloudera AMPs are modular software offerings designed to modernize enterprise applications and workflows by integrating AI and data-driven capabilities natively within the Cloudera Data Platform (CDP). These platforms support AI lifecycle management, including data ingestion, feature engineering, model training, deployment, and inference, while ensuring robust security and governance. A key feature of the AMPs is their ability to operate seamlessly with various data sources and cloud environments, enabling enterprises to leverage existing infrastructure investments without vendor lock-in.

Key Features and Integrations

Hybrid and Multi-Cloud AI Support: Cloudera AMPs facilitate AI workloads across on-premises, public cloud, and edge environments. This flexibility allows companies to maintain data sovereignty and optimize cost-performance tradeoffs.
Integration with Dell ObjectScale: In a recent strategic move, Cloudera integrated Dell’s ObjectScale storage into its AI-in-a-Box offering. This partnership delivers a validated, high-performance data platform enabling AI compute engines to operate directly on object storage, which enhances scalability and efficiency in AI data processing.
Low-Code AI Studios and Secure Inference: The platform provides low-code environments for data scientists and engineers to accelerate AI model development and deployment. Secure inference capabilities ensure that AI models can be safely operationalized with strict access controls and compliance.
Enhanced Governance and Data Access: Cloudera has upgraded its governance tools and introduced new connectors to ensure trusted data access. These features help enterprises maintain compliance in regulated industries while accelerating AI adoption.
AI-Native Operations: By embedding AI orchestration, monitoring, and automation features into core enterprise systems, Cloudera simplifies the management of AI workflows. This reduces manual overhead and accelerates AI-driven decision-making.

Industry Context: The Growing Demand for Enterprise AI Platforms

As AI adoption rapidly grows across industries, enterprises face increasing challenges in scaling AI projects effectively. Gartner forecasts that over 40% of agentic AI projects may be canceled by 2027 due to rising costs and unclear business value, underscoring the critical need for platforms that provide governance, integration, and operational efficiency. Cloudera’s AMPs address these pain points by offering a comprehensive, secure, and scalable data platform tailored for enterprise AI.

Other major players in the AI platform space, such as Adobe and Google, are also expanding their AI ecosystems with agentic AI capabilities and enhanced automation to reduce manual tasks and enable broader user access. However, Cloudera’s focus on hybrid cloud flexibility and native integration with high-performance storage positions it uniquely to serve enterprises seeking to modernize legacy systems and accelerate AI deployment without disrupting existing workflows.

Implications and Future Outlook

Cloudera’s advancements with AMPs and ecosystem integrations exemplify the shift toward AI-native enterprise platforms—systems built from the ground up to embed AI intelligence throughout business operations. This approach promises multiple benefits:

Faster time-to-insight and decision-making by automating data pipelines and model deployment.
Improved security and compliance through integrated governance frameworks.
Cost efficiency by reducing data duplication and enabling direct querying on object storage.
Cross-cloud and hybrid flexibility to optimize infrastructure usage and protect data sovereignty.

Looking ahead, as AI workloads become more complex and mission-critical, Cloudera’s strategy of combining compute, storage, and governance in a unified platform is likely to play a crucial role in helping organizations realize AI’s full potential at scale.

Visual Assets

For this article, relevant images include:

Cloudera Logo and Branding: Official logos to visually identify the company driving these AI innovations.
Cloudera Data Platform (CDP) Architecture: Diagrams illustrating the platform’s hybrid cloud AI capabilities and integration with Dell ObjectScale.
Screenshots of Cloudera AI Studios: Showcasing the low-code environments for AI model development.
Dell ObjectScale Storage Hardware: Visuals of the scalable object storage infrastructure integrated with Cloudera.
Key Executives or Thought Leaders: Photos of Cloudera executives or AI product managers discussing the AMPs.

These images provide visual context and reinforce the narrative of Cloudera’s leadership in enterprise AI infrastructure.

Cloudera’s AI Application Modernization Platforms are setting a new benchmark for enterprise AI by combining robust governance, hybrid cloud flexibility, and deep integration with high-performance storage, thereby enabling organizations to accelerate AI success and operationalize AI at scale.