This episode of Techsplainers explores vision language models (VLMs)—AI systems that bridge visual and textual understanding to perform tasks from image captioning to visual reasoning.

This episode of Techsplainers examines generative AI—how it creates original content, the technology behind it, and its real-world applications and challenges.

This episode of Techsplainers explores model deployment—the process of moving machine learning models to production environments where they can deliver real business value.

This episode of Techsplainers examines AI Model Lifecycle Management—the methodology and tools needed to manage the complete AI pipeline from data collection to deployment.

This episode of Techsplainers unpacks machine learning pipelines, from data processing and model development to deployment strategies and monitoring in production environments.

This episode of Techsplainers explores the practical components of MLOps pipelines—from data management and model deployment to monitoring, governance, and implementation levels.

This episode of Techsplainers explores MLOps—a set of practices for streamlining machine learning operations, automating deployment, and improving model performance through continuous monitoring.

This episode of Techsplainers investigates notorious ransomware variants, from CryptoLocker to the Colonial Pipeline attack. Learn about ransom payment trends, legal implications, and effective prevention strategies.

This episode of Techsplainers looks at how phishing attacks work and how to protect. Learn to identify various phishing techniques, recognize warning signs, and implement effective prevention strategies.

This episode of Techsplainers explores what data breaches are, how they occur, and the strategies that can prevent them. Discover the true costs, common attack vectors, and how AI-powered security can dramatically reduce breach impact.