AI is evolving quickly, but turning pilots into production takes more than enthusiasm. This requires competent teams, the right infrastructure and a lot of time. Large companies can often devote resources to this challenge, but most are looking for a smarter, faster path to measurable value from AI.
Cloudera believes that enterprise AI should be within reach of all organizations, not just a few. This is why we created Accelerators for machine learning projects (AMP): Open source, production-ready solutions that eliminate complexity and accelerate deployment in any environment. Now with Cloudera, users have more control over how they create AI projects. This means an organization prefers to build everything themselves with familiar tools, leverage pre-built AMP templates for rapid deployment, or opt for a low-code/no-code solution for pipelines and RAG agents.
In the age of generative AI, machine learning models and other types of artificial intelligence are still useful and an essential part of many businesses. Surrounding both classic ML and modern generative AI with appropriate controls and governance is fundamental. Cloudera AMPs help teams build what matters, whether it’s a chatbot trained on internal documentation or a domain-specific language model, without starting from scratch. The pace of AI adoption and integration is only accelerating. With AMPs, data scientists can now quickly move from ideation to a fully functional use case. Effectively boasting the same convenience and speed we see in GenAI experiments, but with robust end-to-end production-grade models and algorithms.
Cloudera AMPs provide an end-to-end framework to instantly build, deploy, and monitor enterprise-ready AI/ML applications. Built into the Cloudera platform, AMPs work wherever data, compute, or teams are—on-premises, in the clouds, or both—with industry-leading zero-copy data sharing.
Read on to learn how AMPs help you deploy faster, customize smarter, and scale responsibly with open, enterprise-ready tools.
Starting with existing code or open source models can help teams scale quickly, but scaling AI requires more than speed. Many organizations face legal risks and security breaches when solutions are not designed with corporate standards in mind. In fact, a new Cloudera investigation on the State of AI in Business found that nearly half (46%) of IT leaders are concerned about the security and compliance risks that exist with AI.
Take a financial services team modifying an open source chatbot designed for e-commerce. At first it works. But once tested, the bot scrapes irrelevant data, fails in regulatory accuracy, and raises concerns about governance. The project stagnates and the company misses its moment. The institution may not even be able to know where it failed or have enough observability or telemetry on the system. They don’t even know where the system can “hallucinate” and provide incorrect, inconsistent or incomplete answers.
AMP Cloudera eliminate guesswork by providing tested code, infrastructure-as-code models, and clear documentation—everything teams need to launch quickly. Most importantly, they are built with enterprise-grade security, governance, and compliance. This means organizations can innovate with confidence, knowing their AI solutions are production-ready and can be run securely in hybrid and multi-cloud environments without additional risk or complexity.
LLMs promise transformative capabilities, but commercially available models rarely meet business requirements. Adapting them to your business requires time, specialized talent, and significant IT resources, investments that many teams are struggling to make as the pressure to deliver AI results increases. The Gap Is Critical for Organizations Lacking Deep Internal Expertise: A Cloudera investigation found that 38% of IT leaders cite insufficient AI training or talent as one of the biggest barriers to adoption. Cloudera removes this barrier with AMPs designed to make ML customization fast, secure, and accessible.
Let’s take a closer look at the AMPs that help organizations operationalize GenAI with speed and accuracy:
- AMP Churn Prediction
- Uses a logistic regression classification model to predict the likelihood that a group of customers will churn. The model is interpreted using a technique called Local Model-Independent Interpretable Explanations (LIME). Logistic and LIME regression models are deployed using CML’s real-time model deployment capability and interact with a basic Flask-based web application. The model is ready to ingest all data from the client domain into its own secure environment and start making predictions.
- Explainability with LIME and SHAP
- Provides a workbook on how to explain machine learning models using tools like SHAP and LIME. It explores concepts such as global and local explanations, illustrated by six different models: Naive Bayes, Logistic Regression, Decision Tree, Random Forest, Gradient Boosted Tree and a Multi-Layer Perceptron.
- RAG with AMP knowledge graph
- Combines real-time retrieval augmented generation (RAG) with any knowledge graph to improve answer accuracy. It maps the complex relationships between data points, ideal for financial, legal, or healthcare domains where nuance and trust are important.
- AMP Agent Security Analysis
- It is a multi-agent artificial intelligence system designed to perform automated security analysis of enterprise software repositories. When software engineers deploy code, the agent will act as your product’s cybersecurity team, evaluating every line of code, dependencies, and potential issues. This system demonstrates how multiple specialized AI agents can collaborate through directed workflows to scan codebases for security vulnerabilities, documentation gaps, and test coverage issues.
Open source tools provide flexibility, but the next challenge is scaling them securely in an enterprise context. Cloudera AMPs are designed to connect open innovation and production-grade reliability. They connect directly to existing infrastructure, help teams move beyond experimentation, and reduce the cost and risk of enterprise AI.
Start your free trial today and discover how Cloudera AMPs can transform your AI strategy into real-world impact.
