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Quality Assurance in Education: Editorial Oversight and Beyond

Kitaboo

Quality assurance in education serves as a crucial foundation, ensuring the delivery of impactful learning experiences for students. While most people associate quality assurance with editorial oversight, it goes beyond just that. Here are reasons why quality assurance in education is paramount.

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Quality Assurance Unleashed: A Comprehensive Guide for Editors

Kitaboo

It requires an unwavering commitment to quality assurance. In this comprehensive guide, we delve into the intricacies of quality assurance processes and techniques with the aim of elevating the educational content you provide. Unveiling the Core Principles of Quality Assurance II. Let’s get started!

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The early returns on gen AI for software development

CIO Business Intelligence

Generative AI is already having an impact on multiple areas of IT, most notably in software development. Still, gen AI for software development is in the nascent stages, so technology leaders and software teams can expect to encounter bumps in the road.

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Maximizing Impact: Strategies for Scalable Educational Resource Development

Kitaboo

As education continues to undergo this transformative shift, the need for scalable educational resource development becomes increasingly critical. Challenges in Educational Resources Development Diverse Learner Needs Content Quality Assurance Cost and Resource Constraints Accessibility and Inclusivity II.

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Embedded software development for IoT applications

Dataconomy

Whether you are an end-user wanting access or control over products and services, or a manufacturer wishing to build better technology systems faster than before – one key component remains essential: embedded software development. For up-to-date reference on embedded software development best practices, you can go for N-ix resources.

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Salesforce’s Einstein 1 platform to get new prompt-engineering features

CIO Business Intelligence

Salesforce is working on adding two new prompt engineering features to its Einstein 1 platform to speed up the development of generative AI applications in the enterprise, a top executive of the company said. The features are expected to be released in the next few days, Cheng said, without giving an exact date.

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How to manage data integration during an acquisition

CIO Business Intelligence

Cloud-based analytics, generative AI, predictive analytics, and more innovative technologies will fall flat if not run on real-time, representative data sets. A hybrid cloud approach means data storage is scalable and accessible, so that more data is an asset—not a detriment.

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