Bias in Big Data and Artificial Intelligence - Protecting Against Algorithmic Discrimination
Explore the impact of algorithmic bias in AI and big data on marginalized communities, discussing ethical standards, regulation, and strategies for protecting against discrimination.
How to Ensure Research and Scientific Integrity - AGU Fall Meeting 2017
Panel discussion exploring critical components and challenges of developing and implementing effective scientific integrity policies, featuring diverse perspectives from experts in the field.
On the Future of Thermochemical Databases in Volcanology, Geochemistry, and Petrology
Exploring innovations in computational thermodynamics for Earth sciences, focusing on democratizing thermochemical databases and enhancing solution models for improved research applications.
Are We Sure We Want to Let Robots Kill? - Ethical Implications of Autonomous Weapons
Explore the ethical, political, and strategic implications of autonomous weapons and AI in warfare, examining the need for regulation and the consequences of delegating lethal force to robots.
Machine, Platform, Crowd - Harnessing Our Digital Future
Explore the impact of technological progress on organizations with insights from economics and computer science, offering practical guidance for navigating disruptions in today's rapidly evolving landscape.
Demystifying the Digital Pandemic - Understanding Infomania and Misinformation
Explore the rise of infomania, misinformation spread, and social engineering in the digital age. Learn about information disorders and develop good information hygiene practices to combat the digital pandemic.
Tools for Better Testing in Open Source Projects
Explore tools and approaches for effective QA in open source projects, using OpenStack as an example. Learn about CI systems, testing frameworks, and best practices for improving quality.
Machine Learning and Apache Spark: A Dynamic Duo
Explore how Apache Spark and machine learning revolutionize industries, enabling data-driven decisions and innovative products. Learn about top use cases, market dynamics, and IBM's commitment to Spark.
Analytics and Graph Traversal with Solr
Explore Solr's advanced analytics capabilities, including faceted search, streaming expressions, and graph traversal, with insights on API selection for different scenarios.
Modern Techniques for Better Search Relevance in Solr
Explore modern search relevance techniques beyond BM25, including machine learning and NLP. Learn to measure, fine-tune, and implement advanced methods like learning to rank and query intent classification in Apache Solr.
The Future of Natural Hazards Mitigation and Adaptation in the United States
Expertos discuten estrategias para mitigar impactos de desastres naturales, destacando investigación científica, coordinación con personal de emergencias y mejores prácticas para proteger vidas e infraestructura a nivel local.
Jupyter Notebook Assignment Development - Introduction and Learning Goals
Explore the process of creating Jupyter Notebook assignments for computational research methods, focusing on setting learning goals and structuring effective content.
Future of Silicon Valley: Leadership and Challenges - Morris Series Lecture
Insights on Silicon Valley's evolution, leadership challenges, and future prospects from tech industry veteran Larry W. Sonsini, addressing ethics, governance, and technological disruption.
Building an Open Source Streaming Analytics Stack with Kafka and Druid
Learn to build a robust streaming analytics stack using Kafka and Druid for real-time data processing, flexible querying, and maintaining data integrity in high-volume environments.
Building Next-Generation Audience Targeting and Analytics at NBCUniversal
Explore NBCUniversal's data-driven approach to audience targeting using Apache Mesos, DC/OS, Spark, Kafka, and Cassandra for real-time analytics and personalized data services.
Astronomer's Journey from Cloud Lock-in to Open Source Independence
Discover how Astronomer transitioned from AWS-managed services to open-source solutions, enhancing flexibility and independence in their data engineering platform.
Accelerating Spark Workloads in an Apache Mesos Environment with Alluxio
Learn how Alluxio enhances Spark and Mesos performance by providing memory-speed data access across diverse storage systems, optimizing big data processing and enabling new workloads.
Supercharging Machine Learning Development with Azure and Containers in VS Code
Explore how to enhance machine learning development using Azure and containers in Visual Studio Code, boosting efficiency and streamlining workflows.
Docs as Code - Managing Documentation with Software Development Practices
Explore the "Docs as Code" approach for efficient documentation management, version control, and collaboration in software development projects.
Conda and Docker for Machine Learning Projects
Learn to optimize ML projects using Conda and Docker. Explore challenges, solutions, and best practices for efficient development and deployment workflows.
Deploy a Customer Churn Prediction Model with Streamlit and Docker
Learn to build and deploy a customer churn prediction model using Streamlit and Docker. Discover how to package machine learning models into interactive applications for effective customer retention strategies.