
Exploring the concept of 'post-truth' in society, this talk examines historical perspectives, emotional appeals, and technological impacts on truth perception, urging skepticism and critical thinking.

Explore digital battery twins in e-mobility, leveraging AI and machine learning for continuous improvement and hybrid modeling approaches in the automotive industry.

Explore scaling IoT data processing with Akka.NET. Learn actor model implementation for stateful, concurrent code, and discover strategies for handling millions of devices efficiently.

Explore Kubeflow for ML: tooling, scaling Python with Dask/Ray, API comparisons, and insights on distributed computing. Learn from experts about advancements in machine learning infrastructure.

Explore password policies and controls of top websites through data analysis, revealing insights on security practices and user authentication trends.

Explore strategies for developing a robust security research framework, enhancing methodologies and fostering collaboration within the cybersecurity community.

Comprehensive guide to monitoring Java applications using Elastic Stack, covering logs, metrics, pings, and traces for effective microservices management and troubleshooting.

Explore Apache Kafka's ecosystem: from basic messaging to advanced streaming platform. Learn about topics, partitioning, APIs, stream processing, and enterprise-grade features for scalable data infrastructure.

Explore real-time investment alerts using Apache Kafka and Spring Kafka at ING Bank. Learn how to handle massive stock price streams, match customer alerts, and deliver timely notifications while meeting regulatory requirements.

Explore Presto, a powerful SQL engine for data platform teams, and learn how it can enhance your data analytics capabilities and streamline query processing across diverse data sources.

Learn to develop and deploy ML pipelines efficiently using Ploomber, bridging the gap between interactive data exploration and production-ready code without sacrificing development speed or reliability.

Discover how Native Notebooks in VS Code enhance data science workflows and learn to deploy machine learning models using Azure Machine Learning service for improved productivity and efficiency.

Explore Bayesian inference with PyAutoFit, a probabilistic programming language for data science. Learn core features, model composition, and advanced tools for big data analysis and parallel computing.

Explore brain-computer interfaces using Timeflux, covering neurophysiology basics, hardware options, and framework architecture. Learn to build processing pipelines and web interfaces for mind-controlled applications.

Explore Azure Stream Analytics for real-time data processing, integrating with Power BI dashboards and Azure ML. Learn to build streaming jobs and implement lambda architecture for data-driven insights.

Learn to create stunning data visualizations in Power BI using R programming, enhancing your data storytelling capabilities with the grammar of graphics concept and best practices for R visuals.

Explore Azure SQL Edge's optimized database engine for IoT workloads, featuring data streaming, timeseries, and ML capabilities. Learn about customer implementations and new features for the Intelligent Edge.

Explore how unconscious bias affects coding and machine learning, learn to identify and mitigate it, and discover inclusive design practices for creating more equitable and effective applications.

Explore DAX's numeric calculations, learning to differentiate between filter and row contexts, and when to use calculated columns versus measures for optimal data analysis and visualization.

Explore common machine learning algorithms and practices through industry examples, learn to choose the right algorithm, and discover Azure ML solutions for automating tasks without coding.

Explore Azure Digital Twins: simulate, analyze, and control physical objects digitally. Learn key features, business benefits, and real-world applications through demonstrations and use cases.