The Meaning of Artificial Life
Explore the evolution of AI and data science, from historical origins to modern applications, and gain insights into machine learning, deep learning, and their impact on our understanding of intelligence.
Data Science, Delivered Continuously
Explore continuous delivery for data science projects, focusing on AutoScout24's live price estimation service using Random Forest and H2O, with insights on model validation and technical challenges.
How Prometheus Revolutionized Monitoring at SoundCloud
Explore how Prometheus transformed SoundCloud's monitoring, addressing challenges in microservices architecture and offering insights into its implementation, features, and impact on system observability.
Your Potential is Much Bigger than You Think - True Continuous Improvement with Toyota Kata
Explore Toyota Kata for true continuous improvement in Agile organizations. Learn practical strategies to unlock potential, measure progress, and foster a culture of innovation and adaptability.
Keep it Clean - Why Bad Data Ruins Projects and How to Fix It
Explore data quality issues in ML projects, their impact, and solutions. Learn to identify and fix bad data for improved project outcomes and performance.
Introduction to Stateful Stream Processing with Apache Flink
Explore Apache Flink's advanced stream processing capabilities, including stateful computations, consistency guarantees, and high-performance data handling for real-time applications.
Intro to Empirical Software Engineering - What We Know We Don't Know
Explore empirical software engineering, its challenges, and how data-driven approaches can improve programming practices and distinguish fact from fallacy in software development.
Without Data, You're Just Another Person with Opinions
Explore data-driven DevOps and cross-cutting metrics integration for insightful decision-making in engineering organizations. Learn practical dos and don'ts for effective implementation and interpretation.
Can Quantum Computing Help to Unlock the Secrets of the Universe?
Explore how quantum computing could revolutionize particle physics research at the Large Hadron Collider, addressing data processing challenges and potentially unlocking new discoveries in fundamental physics.
Real Time Investment Alerts Using Apache Kafka at ING Bank
Leveraging Apache Kafka for real-time investment alerts at ING Bank, enabling customers to make quick decisions based on stock price fluctuations and market changes.
Thinking Like a Data Scientist
Explore essential tools and timeless techniques for data science, focusing on fundamental principles that have endured for centuries and will continue to shape the field's future.
Deliver Results, Not Just Releases - Control & Observability in CD
Strategies for implementing progressive delivery controls and observability in CD pipelines to improve risk management, engineering focus, and overall results.
Data-Driven Engineering
Explore how Big Data revolutionizes software engineering, from treating releases as controlled experiments to leveraging data for testing non-functional requirements and driving continuous improvement.
Artificial Intelligence Reloaded - AI Apps in the Industry
Explore the comprehensive process of developing AI applications, from data gathering to deployment, and learn how AI is transforming software development in various industries.
Addressing Algorithmic Bias
Explore strategies to address, avoid, and mitigate AI algorithmic bias in critical decision-making processes. Learn about fair algorithms, trade-offs in bias protection, and techniques for auditing and combating bias in AI systems.
Empowering Consumers - Evolution of Software in the Future
Explore the future of software, AI, and data sovereignty with experts Linda Nielsen and Derek Collison. Discover innovative systems, cloud computing trends, and the shift towards consumer-driven software development.
Scaling Machine Learning with Spark
Learn to build scalable machine learning solutions with Apache Spark. Explore distributed computing, MLflow, feature engineering, and integrating Spark with deep learning frameworks like TensorFlow and PyTorch.
Training & Monitoring AI - Drift Detection
Explore drift detection in AI monitoring, covering its importance, statistical methods, and practical implementation using tools like TorchDrift and DriftDash for effective model performance validation.
From Data Mess to Data Mesh - Navigating People, Process & Platforms
Explore the journey from data mess to data mesh, covering organizational challenges, technical aspects, and practical considerations for implementing effective data solutions in complex environments.
Intelligence Amplification with Artificial Intelligence
Explore intelligence augmentation frameworks for building data-driven systems. Learn technology, architecture, and UX patterns to create enhanced user experiences through AI and analytics integration.
AWS Cookbook - Recipes for Success on AWS
Explore practical AWS solutions for security, networking, storage, serverless, containers, and more with expert insights on implementing efficient cloud architectures and workflows.