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

TechCrunch

Use discount code TCPLUSROUNDUP to save 20% off a one- or two-year subscription. 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. 7 ways investors can gain clarity while conducting technical due diligence.

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Technical Review: A Trusted Look Under the Hood

TechEmpower CTO

Many CEOs of software-enabled businesses call us with a similar concern: Are we getting the right results from our software team? We hear them explain that their current software development is expensive, deliveries are rarely on time, and random bugs appear. What does a business leader do in this situation?

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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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What is data architecture? A framework to manage data

CIO

Consulting firm McKinsey Digital notes that many organizations fall short of their digital and AI transformation goals due to process complexity rather than technical complexity. 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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John Snow Labs Releases Generative AI Lab 7.0 to Help Domain Experts Evaluate and Improve LLM Applications and Conduct HCC Coding Reviews

John Snow Labs

New capabilities include no-code features to streamline the process of auditing and tuning AI models. Determining their efficacy, safety, and value requires targeted, context-aware testing to ensure models perform reliably in real-world applications,” said David Talby, CEO, John Snow Labs.

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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.