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What is data architecture? A framework to manage data

CIO

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Ensure security and access controls.

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Agentic AI design: An architectural case study

CIO

There are many areas of research and focus sprouting from the capabilities presented through LLMs. Agentic AI is the next leap forward beyond traditional AI to systems that are capable of handling complex, multi-step activities utilizing components called agents. In 2024, a new trend called agentic AI emerged.

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AI & the enterprise: protect your data, protect your enterprise value

CIO

This evolution makes DLP more effective and less intrusive, potentially overcoming historical adoption barriers, although deployment complexity may still present a hurdle. Maintaining a clear audit trail is essential when data flows through multiple systems, is processed by various groups, and undergoes numerous transformations.

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Making your enterprise architecture framework work for you

CIO

More organizations than ever have adopted some sort of enterprise architecture framework, which provides important rules and structure that connect technology and the business. The results of this company’s enterprise architecture journey are detailed in IDC PeerScape: Practices for Enterprise Architecture Frameworks (September 2024).

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The targeted approach to cloud and data CIOs need for ROI gains

CIO

Our digital transformation has coincided with the strengthening of the B2C online sales activity and, from an architectural point of view, with a strong migration to the cloud,” says Vibram global DTC director Alessandro Pacetti. It’s a change fundamentally based on digital capabilities.

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques. Generative AI question-answering applications are pushing the boundaries of enterprise productivity.

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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

The Mozart application rapidly compares policy documents and presents comprehensive change details, such as descriptions, locations, excerpts, in a tracked change format. In this post, we describe the development journey of the generative AI companion for Mozart, the data, the architecture, and the evaluation of the pipeline.