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An Overview of Cloudera’s AI Survey: The State of Enterprise AI and Modern Data Architecture

Cloudera

The survey, ‘ The State of Enterprise AI and Modern Data Architecture ’ uncovered the challenges and barriers that exist with AI adoption, current enterprise AI deployment plans, and the state of data infrastructures and data management. While every business has adopted some form of data architecture, the types they use vary widely.

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How to build a safe path to AI in Healthcare

CIO

Observability and explainability are critical to understanding AI behavior, identifying errors, and ensuring compliance with regulatory standards. In enterprise implementations, different combinations of these techniques will be applied.

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Generative AI: the Shortcut to Digital Modernisation

CIO

Compliance with best practices: AI can verify compliance with coding best practices and recommend optimizations to enhance performance. The partner will be able to assist with customising solutions to the specific business outcomes for the enterprise, integrate with existing systems seamlessly, and foster scalability.

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5 Architecture Choices Technology Executives Must Consider

Progress

As technology changes, learn how you can take advantage of the latest innovations and modernize legacy monoliths into agile, cloud-native architectures. The architecture of your application is critically important—it’s the foundation upon which current initiatives and future innovation depend.

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Cloudera’s RHEL-volution: Powering the Cloud with Red Hat

Cloudera

That’s why Cloudera and Red Hat , renowned for their open-source solutions, have teamed up to bring Red Hat Enterprise Linux ( RHEL ) to Cloudera on public cloud as the operating system for all of our public cloud platform images. Let’s dive into what this means and why it’s a game-changer for our customers.

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Generative AI in enterprises: LLM orchestration holds the key to success

CIO

We are beginning to see commercial products for LLM Orchestration, as well as commonly used open-source frameworks such as LangChain and LlamaIndex. Scalability: As a business expands, the orchestration framework must be designed to scale, accommodating a growing array of LLMs and data flows.

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Top 10 Frameworks for Developing Enterprise Applications

OTS Solutions

Also Read: The Importance of Security and Compliance in Enterprise Applications Top 10 Most Popular Frameworks for Enterprise Applications 1. Spring Framework Spring framework is an open-source and widely used enterprise framework for building Java applications. ASP.NET Core ASP.NET Core is an open-source and cross-application.