Cloudera reveals new solutions in data security and AI deployment

At the Cloudera EVOLVE24 conference in Dubai, Cloudera announced today (September 12) two innovations designed to address critical challenges in data management and artificial intelligence (AI). The company introduced the Cloudera Private Link Network and a new suite of Accelerators for Machine Learning Projects (AMPs), aiming to enhance data security and streamline AI deployment for enterprises.

The newly launched Cloudera Private Link Network is poised to transform data security for industries with stringent compliance requirements. This solution ensures that sensitive data remains protected by avoiding exposure through public Internet channels, providing a secure, private connection between customer workloads and the Cloudera Control Plane.

Key benefits of the Cloudera Private Link Network include:

• Enhanced Data Security: Protects sensitive data by preventing it from traveling over public networks, thus reducing the risk of data exposure.
• Cross-Cloud Connectivity: Enables secure management of data-intensive workloads across various cloud environments through a unified network.
• Integration with Major Cloud Providers: Utilizes existing cloud services like AWS PrivateLink and Azure Private Link to extend secure data transfer capabilities across multiple platforms.

Dipto Chakravarty, Chief Product Officer at Cloudera, stated, “Cloudera Private Link Network is purpose-built and managed by Cloudera to address enterprise privacy and connectivity concerns. By offloading the management of Private Link Network to Cloudera, it will both lower TCO for your organisation and free up valuable resources, allowing you to focus on strategic business initiatives.”

He further added, “By managing data integrity and trustworthiness throughout the architecture, we help enterprises safeguard sensitive customer data.”

Industry analyst Sanjeev Mohan commented on the innovation, “As organisations move to cross-cloud deployments, they expect to drastically reduce the complexity of multi-platform configurations to a point that they should only have to specify private link network endpoints between their control plane and the data planes.

“Private Link Network helps enterprises protect their data more effectively and easily leverage disparate clouds to reduce total cost of ownership. This advancement further establishes Cloudera as a leader in providing secure, cross-cloud connectivity for metadata management.”

Alongside the Private Link Network, Cloudera has launched a new suite of Accelerators for Machine Learning Projects (AMPs). These accelerators are designed to simplify and expedite the deployment of AI technologies, offering enterprises pre-built solutions that streamline the development process.

The new AMPs include:

• Fine-Tuning Studio: An application for managing, fine-tuning, and evaluating large language models (LLMs).
• RAG with Knowledge Graph: A solution that combines retrieval augmented generation (RAG) with knowledge graphs to capture complex relationships and context.
• PromptBrew: A tool that leverages AI to assist in creating high-performing and reliable prompts through a user-friendly interface.
• Chat with Your Documents: Enhances LLM responses using context from internal knowledge bases created from user-uploaded documents.

Steven Dickens, Chief Technology Advisor at The Futurum Group, noted, “While almost every business is experimenting with Generative AI, the technology is still so new that there are very few best practices for enterprises. As a result, it’s common practice for data scientists and AI engineers to build on existing examples when starting new AI projects.

“However, there are many drawbacks with this approach, including added security and legal risks. AMPs remove this ambiguity by providing fully built, end-to-end solutions that give data scientists a ready-to-go MVP for various AI use cases that are proven to be effective and able to quickly drive value.”

Chakravarty also highlighted the advantages of the AMPs, stating, “In today’s environment, enterprises are constrained with time and resources to get AI projects off the ground. Our AMPs are catalysts to fast-track AI projects from concept to reality with pre-built solutions and working examples, ensuring that use cases are dependable and cost-effective, while reducing development time. This enables enterprises to swiftly experience the productivity gains and efficiencies that come from AI initiatives.”

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