Remove products data-lens
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Announcing the AWS Well-Architected Data Analytics Lens

AWS Big Data

We are delighted to announce the release of the Data Analytics Lens. The lens consists of a lens whitepaper and an AWS-created lens available in the Lens Catalog of the AWS Well-Architected Tool. What’s new in the Data Analytics Lens?

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Demystifying Multimodal LLMs

Dataiku

M-LLMs seamlessly integrate multimodal information, enabling them to comprehend the world by processing diverse forms of data, including text, images, audio, and so on. At their core, M-LLMs consist of versatile neural networks capable of ingesting various data types, thereby gaining insights across different modalities.

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Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software

DataKitchen

Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software Lowering Serious Production Errors Key Benefit Errors in production can come from many sources – poor data, problems in the production process, being late, or infrastructure problems. Data errors can cause compliance risks.

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Implications of generative AI for enterprise security

CIO Business Intelligence

But unlike human learning, the power of crowd-source data combined with the right information in Generative AI means that processing answers will be light years faster. That is a benefit that can be derived depending on the quality as well as massive amounts of data that can be fed into it. As such, proper controls must be in place.

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Why companies with a data-driven culture achieve competitive advantage

CIO Business Intelligence

In today’s data-driven world, many organizations face major hurdles as they navigate a transformation journey that eliminates silos, unifies data, and transforms it into value. times more likely to have accelerated their time to market for new products, services, experiences, and other initiatives.

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3 key digital transformation priorities for 2024

CIO Business Intelligence

After all, every department is pressured to drive efficiencies and is clamoring for automation, data capabilities, and improvements in employee experiences, some of which could be addressed with generative AI. As every CIO can attest, the aggregate demand for IT and data capabilities is straining their IT leadership teams.

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Addressing Data Mesh Technical Challenges with DataOps

DataKitchen

Below is our third post (3 of 5) on combining data mesh with DataOps to foster greater innovation while addressing the challenges of a decentralized architecture. We’ve talked about data mesh in organizational terms (see our first post, “ What is a Data Mesh? ”) and how team structure supports agility. Source: Thoughtworks.

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