Social Engineering Metrics: Using Data Science for Valuable Reporting
Innovative approach to social engineering metrics using data science, focusing on meaningful measurements that reflect an organization's security posture and culture beyond traditional click rates.
The No-Bullshit Guide to Google Analytics 4
Comprehensive guide to Google Analytics 4: installation, configuration, tracking, data analysis, and actionable insights for online businesses. Hands-on approach with practical tips and resources.
From Data Tsunami to Actionable Insights - Generating Meaningful Insights for OSPOs
Learn to transform overwhelming open source project data into actionable insights. Explore data collection, processing, and interpretation techniques to improve OSS projects using CHAOSS metrics and tools like Augur and 8Knot.
How to Make Metrics and Influence People
Learn effective data analysis techniques to create impactful metrics that drive action and improvement. Gain insights on avoiding common pitfalls and aligning metrics with processes for better decision-making.
How to Achieve Both Transparency and Accuracy in Predictive Decision Making - An Introduction to Strategic Prediction
Explore techniques for balancing transparency and accuracy in predictive decision-making, focusing on strategic prediction methods for ethical and effective data-driven solutions.
Unleashing the Full Potential of Your Recommender System in Production
Improve recommender systems through production monitoring, data insights, and drift detection to enhance performance and drive better business outcomes.
Insights Unveiled - Test Reporting and Observability Excellence
Uncover actionable insights through effective test reporting and enhance observability for informed decision-making in software quality assurance.
FastCFE - A Counterfactual Explainer Using Reinforcement Learning
Explore reinforcement learning for real-time counterfactual explanations in machine learning explainability. Learn about FastCFE algorithm, OpenAI Gym, and Ray+RLlib for actionable insights in various applications.
Why AI Needs a “Nutrition Label” | Kasia Chmielinski | TED
Kasia Chmielinski uses a sandwich metaphor to explain AI systems and advocates for "nutrition labels" on AI to ensure fairer, more transparent algorithms. She discusses how data reform can improve AI development and accountability.
How AI and policy will shape our future | Tatiana Rice | TEDxUniversity of Northern Iowa
"Artificial intelligence is no longer just a one-off tool — it’s becoming part of the operating system of our society. From schools to hospitals to local governments, AI is quietly shaping the framework of our world, as well as the choices, opportunities, and rights of everyday people. In this talk
Black Hat USA 2025
Black Hat USA 2025