From Big Data to Big Information
Exploring the evolving Big Data landscape, focusing on extracting useful information from large datasets using tools like Hadoop and NoSQL databases to meet business objectives.
Democratising Attention Data at theguardian.com
Discover how The Guardian built a real-time analytics system to empower journalists and editors, improving reader engagement through simplified data presentation and cloud-based architecture.
Real-Time Analytics with Apache Cassandra
Explore real-time analytics using Apache Cassandra, covering design solutions, data structures, and techniques for maintaining counters and precomputing queries with low latency.
Reconsidering Ragnarok - The Cyber Threat Terrain After the Ukraine Invasion
Experts analyze the unexpected absence of cyber Armageddon following Ukraine's invasion, discussing observations, reasons, and future implications for global cybersecurity landscape.
Inextricably Linked - Reproducibility & Productivity in Data Science & AI
Explores challenges in Data Science & AI productivity and reproducibility, comparing it to software development's evolution. Proposes solutions for improved collaboration and automation in the field.
From Big Data Mess to Data as an Innovation Enabler
Explore OLX Group's data journey: collecting billions of events, designing cloud architecture, ensuring secure access, and driving innovation with ML tools for a platform rivaling Twitter's user base.
Putting Your Security on the Wire
Explore Bro, a powerful platform for real-time network analysis and security. Learn how organizations leverage this tool to gain insights and protect their networks effectively.
Beyond AI
Exploring hybrid human-machine intelligence through games, challenging AI singularity claims, and leveraging collective problem-solving data to understand and exploit human uniqueness.
Your Superpower User Manual
Explore how to leverage cloud services and Python tools for data analysis and visualization, unlocking your potential to tackle practical questions with powerful computing resources.
Machine Learning on Source Code
Explore large-scale code analysis and machine learning on source code using open-source tools. Learn about ingesting public git repositories and transforming code into ASTs for advanced analysis and ML applications.
Production Model Deployment
Explore strategies for deploying production models, including data sharing, service building, and AB testing. Learn about ML pipelines, engineering requirements, and effective handoff between data scientists and software engineers.
Applied AI - Real-World Use Cases for Microsoft’s Azure Cognitive Services
Explore real-world applications of Azure Cognitive Services for AI, including image classification, chatbots, and text analysis. Gain insights into machine learning concepts and practical implementation.
Building Prediction Pipelines that Rock in the Real World
Discover how to build scalable, performant prediction pipelines for microservices in the cloud. Learn data collection, model building, serving, and candidate checking techniques.
One Does Not Simply Put Machine Learning into Production
Explore challenges and trade-offs in implementing machine learning in products, focusing on accuracy, cost, maintainability, and interpretability. Learn key considerations for successful ML integration.
Machine Learning with TensorFlow and Google Cloud
Explore TensorFlow and Google Cloud for machine learning applications through a hands-on example, covering data ingestion, neural network training, and prediction on real datasets.
Machine Learning - Your First Steps
Introduction to machine learning basics, platforms like Watson and TensorFlow, and their relation to big data and AI. Explores fundamental concepts and applications in this emerging field.
Visualizing IoT Data with Minecraft
Explore innovative IoT data visualization using Minecraft. Learn how to represent sensor data in a unique, interactive 3D environment, moving beyond traditional charts and graphs.
Experiments, the Good, the Bad & the Beautiful
Discover how to conduct simple, effective experiments in software development. Learn to challenge assumptions, gather evidence, and make informed decisions to improve your work and processes.
Cloud-Native Data Science - Turning Data-Oriented Business Problems Into Scalable Solutions
Explore cloud-native data science solutions for scalable business problems. Learn to leverage ubiquitous data, computational power, and industry acceptance to create valuable assets.
Delivering AI on Code - Live Demo of source{d}
Live demo showcasing source{d}'s tools for large-scale code analysis and machine learning on source code, enabling AI-driven insights from git repositories and abstract syntax trees.
Analyzing Pwned Passwords with Apache Spark
Explore large-scale password analysis using Apache Spark, covering data processing techniques, popular password trends, and security implications of leaked credentials.