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The True Cost of Neglecting Quality Assurance: Lessons from Recent Tech Failures

Perficient

The Importance of Quality Assurance in Software Development The pressure to deliver software quickly and cost-effectively is among the highest priorities of business leaders. However, recent high-profile tech failures serve as stark reminders of the critical importance of robust Quality Assurance (QA) practices.

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Generative AI in Data and Quality Assurance (QA): Transforming Processes

Perficient

GenAI in Data Management Gen AI revolutionizes the data lifecycle by improving data quality, automating processes, and thus accelerating and improving decision-making. Thi s is more advantageous when it comes to training machine learning models that require diverse and large-scale data inputs.

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12 AI predictions for 2025

CIO

Plus, they can be more easily trained on a companys own data, so Upwork is starting to embrace this shift, training its own small language models on more than 20 years of interactions and behaviors on its platform.

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How BQA streamlines education quality reporting using Amazon Bedrock

AWS Machine Learning - AI

The Education and Training Quality Authority (BQA) plays a critical role in improving the quality of education and training services in the Kingdom Bahrain. It compares the extracted text against the BQA standards that the model was trained on, evaluating the text for compliance, quality, and other relevant metrics.

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CIOs are bullish on AI agents. IT employees? Not so much.

CIO

Frontline AI practitioners have likely seen the amount of customization, quality assurance, and maintenance required to make a somewhat functional agentic workflow, Mikhailov says. IT leaders should integrate human expertise into the adoption process, while prioritizing transparency and investing in training, he adds.

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Appen Delivers High-Quality Training Data and Quality Assurance Services for Autonomous Vehicle Manufacturers

DevOps.com

The post Appen Delivers High-Quality Training Data and Quality Assurance Services for Autonomous Vehicle Manufacturers appeared first on DevOps.com.

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Top 6 Annotation Tools for HITL LLMs Evaluation and Domain-Specific AI Model Training

John Snow Labs

What was once a preparatory task for training AI is now a core part of a continuous feedback and improvement cycle. Training compact, domain-specialized models that outperform general-purpose LLMs in areas like healthcare, legal, finance, and beyond. Todays annotation tools are no longer just for labeling datasets.