
Explore pricing strategies for real-time bidding in programmatic advertising, focusing on bid shading and supply path optimization to enhance ROI and campaign success at scale.

Explore key insights on data and machine learning in fraud detection from a Monzo ML scientist's year-long experience in digital banking.

Explore advanced analytical techniques for optimizing photo selection in dating apps. Learn about statistical considerations, product insights, and impact on engagement and revenue metrics.

Discover strategies for scaling paid marketing through automation and predictive modeling, enhancing budget planning and optimization for improved marketing efficiency.

Leverage data products, implement hybrid model deployment, and drive AI innovation by accessing unknown data with unknown questions for transformative advancements in your projects.

Explore MLOps, AI observability, and LLMOps integration. Gain insights on implementing AI stores for enhanced management and governance of traditional and generative AI solutions across organizations.

Explore how Generative AI and LLMs enhance B2B audience understanding through topic modeling and text classification, improving data quality and audience interest analysis.

Explore ASOS's journey in building a scalable AI demand forecasting system, addressing challenges in ML modeling, data processing, and integration for improved stock management.

Explore data democratization strategies and storytelling techniques to empower teams and engage clients through effective data visualization, driving innovation and business impact.

Discover strategies for creating successful, profitable data models in supply chain and product lifecycle management, focusing on decision-making processes and forecast accuracy.

Explore B2B marketing strategies using Marketing Mix Modeling (MMM). Learn from Twilio experts about adapting MMM techniques traditionally used in B2C for B2B applications.

Explore the UK's open data landscape, its benefits, challenges, and applications to enhance machine learning projects and drive data-driven decision-making.

Explore distributed caching strategies to optimize ML serving, reduce latency, and improve throughput in inference pipelines. Gain practical insights for implementation.

Develop a robust AI strategy for business success. Learn to identify opportunities, integrate solutions, and establish scalable infrastructure to transform operations and enhance customer experiences.

Transform legal and tax industries for AI revolution: learn change management strategies and overcome resistance to technological advancements in traditional sectors.

Explore data-driven strategies to boost electrical recycling through partnerships, awareness campaigns, and insights into overcoming barriers to recycling behavior.

Explore building simple, constrained LLM agents for fintech, balancing control and generalizability while mitigating risks in complex production ecosystems.

Explore Knowledge Graphs and AI: Learn technical aspects, real-world applications, and future trends. Discover how to leverage these technologies for data harmonization and inference.

Explore economic, social, and operational models for measuring open source value to justify investment and support continued development.

Explore industrial AI governance inspired by Open Source Program Offices, drawing parallels between AI and open source software management in corporate settings.

Explore GLIDE's design for connecting applications to Valkey and Redis OSS-compatible services. Learn about its development and benefits for operational excellence.