AI & Sustainability: follow the money! with Boris Gamazaychikov and Sasha Luccioni | #79

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. ...

May 19, 2026 · 4 min

The Next Era of Semantic Search: Auto Embedding in MongoDB Vector Search | MongoDB.local London '26

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. ...

May 19, 2026 · 6 min

Methodology and Foundations of Data Modeling for MongoDB | MongoDB.local London 2026

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! 🤯 ...

May 19, 2026 · 5 min

Morning General Session | MongoDB.local London 2026

Presenters Alexander Holt Luciana Lixandru Ulku Rowe Osmar Olivo Mikiko Bazeley Frank Liu Source MongoDB.local London 2026 London’s AI Moment: Powering the Next Wave of Innovation with MongoDB 🚀 London is buzzing with AI innovation, and MongoDB is at the heart of it all! From groundbreaking AI labs to established financial giants, companies in the UK are leveraging MongoDB’s unified platform to build the future. This isn’t just about faster processing; it’s about smarter processing, more accurate retrieval, and ultimately, trusted AI agents that can transform businesses. ...

May 18, 2026 · 8 min

Grafana in the Ocean: A Digital Twin Powered by Grafana for Marine Conservation Research at DIGI4ECO

Presenters Jacopo Aguzzi Enoc Martinez Source GrafanaCon 2026 Navigating the Digital Ocean: How DIGI4ECO is Revolutionizing Marine Monitoring 🌊💻 The vast, mysterious ocean holds secrets that are crucial for our planet’s health. But how do we truly understand and protect it when traditional monitoring methods are costly and limited? Enter DIGI4ECO, a groundbreaking project spearheaded by experts like Jacopo Aguzzi from the Marine Science Institute of Barcelona and Enoc Martinez from the Technical University of Catalonia. They’re pioneering the use of robotic networks and advanced data management to create a digital twin of the ocean, offering unprecedented insights into marine ecosystems. Let’s dive in! 🏊‍♀️ ...

May 14, 2026 · 7 min