Fingerprinting Encrypted Channels for Detection
Explore techniques for fingerprinting encrypted channels to enhance detection capabilities in cybersecurity, focusing on practical applications and advanced methodologies.
Breaking NBAD & UEBA Detection
Explore techniques to bypass Network Behavior Anomaly Detection (NBAD) and User Entity Behavior Analytics (UEBA), covering data poisoning, exfiltration, and various attack methods with live demonstrations.
Beyond Logs - Real Time Anomaly Detection without Migraines
Explore real-time anomaly detection techniques for efficient system monitoring, focusing on advanced methods beyond traditional log analysis to enhance operational reliability and performance.
Turbocharging DevOps with AI Adventures
Explore AI-powered DevOps innovations and their impact on software development processes, enhancing efficiency and productivity in modern tech environments.
Advanced Stream Processing on the Edge
Explore advanced stream processing on edge devices for real-time data analysis, enabling features like anomaly detection and distributed machine learning using open-source software.
Analysis of Artificial Intelligence in the Telco Sector
Explore AI's impact on telecom: from network performance monitoring to satellite communication challenges, with insights on machine learning applications and industry advancements.
Production ML Monitoring - Outliers, Drift, Explainers & Statistical Performance
Practical deep dive into advanced ML monitoring techniques, covering outliers, drift, explainers, and statistical performance for robust production deployment and scalability.
Monitoring DevOps Driven Microservices Apps
Explore how InfluxData's time-series platform enhances DevOps initiatives, providing granular sub-second monitoring for anomaly detection and performance optimization in microservices applications.
Unsupervised Learning with Autoencoders
Explore autoencoder variants, their applications in unsupervised learning, and real-world use cases. Learn about anomaly detection, denoising, and generative models in this comprehensive overview.
Data to the Rescue! Predicting and Preventing Accidents at Sea
Predicting and preventing maritime accidents using machine learning, leveraging ship behavior data, weather information, and operational profiles to revolutionize the marine insurance industry.
Deep Learning - The Final Frontier for Time Series Analysis
Explore deep learning's potential in time series analysis, covering classification, prediction, and anomaly detection. Learn how neural networks can revolutionize processing of sequential data across various domains.
Scaling to Millions of ML Models to Solve the Problems of SRE and Security
Explore scaling ML models for SRE and security, using open-source technologies to improve zero trust frameworks and infrastructure diagnosis on Kubernetes and service mesh environments.
Analyzing Operational Data at Scale Using ML at Intuit
Learn how Intuit uses ML techniques to detect anomalies and identify production issues in their Kubernetes services, leveraging an Operational Data Lake for real-time analysis of infrastructure and application events.
Intelligent Analysis on Cloud Infrastructure With AIOps
探索AIOps在云基础设施智能分析中的应用,包括异常检测、资源预测、故障检测和根因分析,以提高云服务管理和运营效率。
Exploring 20 Years of Linux and Open Source on the Mainframe
Dive into the evolution of Linux and open source on mainframes over two decades, exploring architecture, networking, encryption, and modern developments like containerization and cloud integration.
Elasticsearch - You Know, for More Than Search
Explore Elasticsearch's versatility beyond search, including recommendations, monitoring, forensic analysis, and machine learning for anomaly detection. Discover new ways to leverage your data.
Machine Learning for Gamers - Dungeon Forecasts & Dragon Regressions
Explore machine learning applications in gaming, from character creation to game mastering, covering regression, forecasting, classification, and more using fun, geeky examples.
Building Advance Analytics Pipelines with Azure Databricks
Explore Azure Databricks for advanced analytics: Learn Spark basics, collaboration features, cluster management, and Azure integration through a detailed network intrusion anomaly detection pipeline walkthrough.
Securing the Web with AI
Explore innovative AI-driven web security methods, including facial recognition for 2FA, user behavior analysis, and machine learning to detect fraudulent content, enhancing protection for all users.
Exploration of Novel Visualizations for Information Security Data
Explore innovative data visualization techniques for information security, covering ELQ Stack, organic visualization, machine learning, anomaly detection, and similarity engines.
Forecasting Kafka Lag Issues with Machine Learning
Learn to predict and manage Kafka Partition Lag using machine learning techniques. Explore normal and abnormal lag patterns, ensemble forecasting, and case studies for improved Kafka observability.