The Secret to Sustainable Open Source
Discover key insights on building and sustaining open source communities through genuine relationships and effective persona management.
We Give Back and You Can Too - Open Source Funding Programs
Learn how companies can support open source projects through funding programs, with insights from Sentry's FOSS initiative. Gain practical tips for implementing similar programs in your organization.
Getting Started with Good First Issues
Navigate the world of open source contributions with practical advice on finding and approaching "good first issues" for new contributors.
The Path to Amazing Software Through Open Source
Empower engineering teams through open source, reducing developer fatigue and enhancing productivity with a strategic approach to developer experience and community-driven prioritization.
Achieving 99.99% Uptime with Open Source Observability
Explore OpenTelemetry for achieving 99.99% uptime in distributed systems. Learn to collect, process, and export telemetry data for enhanced visibility and quick issue resolution.
Managing the Test Data Nightmare
Discover strategies to overcome test data challenges, from preparation to execution, ensuring efficient and reliable testing processes for any project or language.
The 10,000 Steps of Open Source Project Health
Explore Meta's approach to measuring and nurturing open source project health, focusing on quality metrics and community building strategies for sustainable growth.
Going Beyond Code - Why All Contributions Matter in Open Source
Explore diverse contributions to open source beyond coding. Learn how non-technical skills and talents are essential for successful projects and communities. Discover ways to leverage your unique abilities in open source.
A Framework for Onboarding Open Source Contributors
Discover a framework for onboarding open source contributors, showcasing real-world success in fostering productivity and impacting customers through collaborative remote work.
Unveiling Precision: A Novel Machine Learning Framework for Accurate Probability Estimates in Financial Industries
Explore a cutting-edge ML framework for precise probability estimates in finance. Learn advanced calibration metrics and optimization techniques to significantly improve cash flow predictions.
AI is Not Smarter Than Us, but It Will Try Harder - For Better or Worse
Explore AI's impact on industries, decision-making challenges, and human qualities machines can't replicate with insights from entrepreneur Karl Jacob.
Helping Canadians Live Life Well Through Data-driven Innovation
Explore how Loblaw leverages data for forecasting, personalization, and supply chain optimization to enhance Canadian retail experiences.
Machine Learning for E-commerce Product Discovery - Finding a Needle in a Haystack
Explore machine learning techniques for efficient e-commerce product discovery, addressing challenges and leveraging NLP, image recognition, and knowledge graphs.
The Secret Sauce to ML and AI-Powered Products
Discover the key to building successful ML and AI-powered products through customer-centric solutions and diverse talent. Learn to fuel innovation and make an impact in your ML career.
ML in Production: Implementation, Tooling and Engineering - Data MLOps
Explore ML observability in e-commerce, focusing on Loblaw Digital's approach to tracking model performance, user behavior, and business impact using centralized tools and analytics.
Demystifying Large Language Models - ChatGPT, GPT-4, and the Future of AI Communication
Explore the inner workings of ChatGPT and GPT-4, their practical applications, and societal implications. Gain insights into how these AI models are shaping the future of communication and problem-solving.
Managing AI and Associated Risks in a Regulatory Environment
Explore AI's evolution, regulatory trends, and risk management practices in high-stakes industries with expert insights on navigating the complex AI landscape.
Latent User Intent Modeling in Recommender Systems
Explore latent variable models for capturing user intents in recommender systems, enhancing understanding beyond item-level interactions.
Declarative Machine Learning Systems - Ludwig and Predibase
Explore declarative machine learning systems, focusing on Ludwig framework and Predibase enterprise solution for flexible, simplified ML infrastructure.
Federated Learning in Production: Enabling AI Training with Data Privacy
Explore federated learning's applications, benefits, and implementation requirements for AI training on edge devices with data privacy.
Federated Learning in Production: Enabling AI Training with Data Privacy
Explore federated learning's applications, benefits, and implementation requirements for AI training on edge devices with data privacy.