System Architecture and Design

Presenters Gaël Boris Gamazaychikov Sasha Luccioni Source Green IO Podcast 🚀 The Billion-Dollar Question: Why AI’s Energy Crisis is Actually a Money Story The race to build the next generation of AI is expensive—$1 billion expensive. That is the current entry price for a hyperscale data center, the kind of massive facility consuming between 100 megawatts and 1 gigawatt of power. In a recent episode of Green.io, host Grez sat down with two titans of the sustainability world: Boris Gamazaychikov (former Head of Sustainability at Salesforce) and Dr. Sasha Luccioni (a world-renowned researcher in responsible AI). They moved past the usual carbon-focused conversation to follow the money, revealing why the AI gold rush is creating an energy bottleneck that might just reshape the entire tech industry. ...

Presenters James Melvin Source MongoDB.local London 2026 Building a Temporal Graph Reasoning Platform on MongoDB: A Deep Dive 🚀 Are you ready to go beyond basic RAG and build truly intelligent systems? James Melvin from LexisNexis shares his journey of constructing a temporal graph reasoning platform on MongoDB, tackling the complexities of data, time, and AI readiness. This session dives deep into the challenges and innovations behind creating a robust knowledge graph solution. ...

Presenters Gagik Amaryan Source MongoDB.local London 2026 Supercharging Your Development Workflow with MongoDB’s Intelligent Tools 🚀 Hey tech enthusiasts! 👋 Gagik Amaryan, a Senior Software Engineer, recently shared some seriously exciting insights at dotlocal in London about how we can drastically improve our development process. He’s not just talking about coding; he’s talking about productive development, and he’s making a bold claim: productive development with MongoDB is largely solved. Intrigued? You should be! Let’s dive into how MongoDB’s developer and AI tools can supercharge your applications at every stage. ...

Presenters Parth Shaw Prakul Agarwal Source MongoDB.local London 2026 The Next Era of Semantic Search: Unlocking AI Power with MongoDB Atlas Vector Search 🚀 Get ready to revolutionize how you search and build AI applications! In a recent deep dive, MongoDB showcased the future of semantic search with their groundbreaking Automated Embedding in Atlas Vector Search. This isn’t just about finding information; it’s about understanding meaning, empowering AI agents, and simplifying the complex world of AI development. ...

Presenters Andrew Morgan Source MongoDB.local London 2026 Beyond Relational: Mastering Data Modeling with MongoDB 🚀 Hey tech enthusiasts! 👋 Andrew Morgan here, and tonight we’re diving deep into the fascinating world of data modeling, specifically with MongoDB. Forget the dusty tomes of the 1970s; we’re exploring how modern data needs have reshaped our approaches and how MongoDB empowers us to build smarter, faster applications. The Relational Legacy: A Foundation with Limitations 🏛️ For decades, relational databases have been the bedrock of data management. Born in the 1970s with Edgar Codd’s groundbreaking work on normalization, this methodology aimed for data integrity and flexibility. The core idea was simple: store each piece of information only once to avoid inconsistencies. This was brilliant for its time, especially when storage was astronomically expensive. Imagine, back in the day, 16 kilobytes of RAM cost as much as the entire computer! 🤯 ...