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7 ways investors can gain clarity while conducting technical due diligence

TechCrunch

He focuses primarily on investments in software and technology-enabled business services. But when it comes to assessing investment opportunities, few venture and growth equity investors have the resources to conduct thorough technical diligence. The focus of diligence tends to be on aspects of a product that can be measured.

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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. This time efficiency translates to significant cost savings and optimized resource allocation in the review process.

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Security is dead: Long live risk management

CIO

Information risk management is no longer a checkpoint at the end of development but must be woven throughout the entire software delivery lifecycle. They demand a reimagining of how we integrate security and compliance into every stage of software delivery.

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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. Review the stack details and select I acknowledge that AWS CloudFormation might create AWS IAM resources , as shown in the following screenshot. Choose Submit.

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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). TOGAF is an enterprise architecture methodology that offers a high-level framework for enterprise software development.

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7 signs it’s time to modernize your IT systems

CIO

This is true whether it’s an outdated system that’s no longer vendor-supported or infrastructure that doesn’t align with a cloud-first strategy, says Carrie Rasmussen, CIO at human resources software and services firm Dayforce. A first step, Rasmussen says, is ensuring that existing tools are delivering maximum value.

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Cloud analytics migration: how to exceed expectations

CIO

A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making. Software limitations are another concern, especially when it comes to scaling AI and data-intensive workloads. “A

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