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7 signs it’s time to modernize your IT systems

CIO

The bad news, however, is that IT system modernization requires significant financial and time investments. On the other hand, there are also many cases of enterprises hanging onto obsolete systems that have long-since exceeded their original ROI. Kar advises taking a measured approach to system modernization.

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TechCrunch+ roundup: Pricing strategy, technical due diligence, pitch deck appendix fever

TechCrunch

Usage habits are only one signal of a customer’s willingness to pay, so Martinez shares multiple strategies and target metrics for building scalable models. For years, conventional wisdom said it was a useless evolutionary holdover, but we’ve since learned that it helps strengthen the immune system. Here’s why.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

As systems scale, conducting thorough AWS Well-Architected Framework Reviews (WAFRs) becomes even more crucial, offering deeper insights and strategic value to help organizations optimize their growing cloud environments. In this post, we explore a generative AI solution leveraging Amazon Bedrock to streamline the WAFR process.

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How today’s enterprise architect juggles strategy, tech and innovation

CIO

Observer-optimiser: Continuous monitoring, review and refinement is essential. enterprise architects ensure systems are performing at their best, with mechanisms (e.g. Observer-optimiser: Continuous monitoring, review and refinement is essential.

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What is data architecture? A framework to manage data

CIO

Data architecture goals The goal of data architecture is to translate business needs into data and system requirements, and to manage data and its flow through the enterprise. Invest in core functions that perform data curation such as modeling important relationships, cleansing raw data, and curating key dimensions and measures.

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Implementing a Version Control System for AWS QuickSight

Xebia

Among the myriads of BI tools available, AWS QuickSight stands out as a scalable and cost-effective solution that allows users to create visualizations, perform ad-hoc analysis, and generate business insights from their data. The Azure CLI (az command line tool) then creates the pull request and provides a link to the user for review.

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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. This post guides you through implementing a queue management system that automatically monitors available job slots and submits new jobs as slots become available. Choose Submit.