Meet Raul Parihuana
Raul is an experienced QA Engineer and Web Developer with over three years in software testing and more than a year in web development. He has a strong background in agile methodologies and has worked with diverse companies, testing web, mobile, and smart TV applications. Raul excels at writing detailed test cases, reporting bugs, and has valuable experience in API and automation testing. Currently, he is expanding his skills at a company focused on artificial intelligence, contributing to innovative projects in the field.
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Raul's Articles
Explainable AI in Fraud Detection: Enhancing Transparency and Trust in Identifying Fraudulent Activities
Imagine receiving an urgent alert that your credit card transaction was declined due to suspected fraud, but…
Explainable AI Research Papers: Key Insights and Applications for Transparency in AI
Imagine a world where artificial intelligence makes crucial decisions affecting your healthcare, finances, and career opportunities without…
Explainable AI Algorithms: Unlocking Transparency and Interpretability in Machine Learning Models
Imagine trying to trust a decision that impacts your life, made by an AI system you can’t…
Explainable AI for Decision-Making: Enhancing Transparency and Confidence in AI-Driven Choices
Imagine working alongside an AI system that influences critical decisions in healthcare, finances, or criminal justice, yet…
Explainable AI vs. Black Box Models: Understanding Transparency and Trust in AI
The battle between Explainable AI (XAI) and black box models represents a critical turning point in artificial…
Explainable AI in Marketing: Enhancing Transparency and Consumer Trust
What if your AI-powered marketing tools could explain exactly why they recommend targeting certain customers or choosing…