Elastic 8.2 has arrived! This release enables you to build seamless search experiences, accelerate troubleshooting of cloud-native services, and enhance your security analysts’ investigative experience. Learn more → go.es.io/3y9xVOs

#MobileMoney grew from a nascent offering in a few countries to a global financial service connecting hundreds of millions to formal financial services in the past decade. Read our 10th State of the Industry Report to learn more: bit.ly/3qP0pIR #SOTIR22

Most people overestimate what they can do in one year and underestimate what they can do in ten years – Bill Gates

Notre rapport sur l'industrie du mobile money célèbre ses 10 ans et est maintenant disponible en français dans sa totalité! Téléchargez-le ici: bit.ly/3qP0pIR

The broad set of new capabilities in Elastic 8.4 enables your organization to search, observe, and protect everything, across any environment. Read all about the enhanced Elastic Search Platform for fueling your search-powered solutions. Learn more → go.es.io/3QNrKGt

Elastic has been recognized as a Leader in the 2022 Gartner Magic Quadrant™ for Insight Engines. Learn more about how Elastic gives developers extensive tools for building flexible, ML-powered search applications. Get the full report → go.es.io/3hzHyjK

Here’s how to enrich search analytics in Elasticsearch using your ingest pipeline: ✅ Resolve IP Address location ✅ Generate vector using trained ML model ✅ Enrich data using external data sources Learn more → go.es.io/3hrEjuJ

My Netflix Engineering colleague Amer Ather wrote up a nice high-level overview of the "noisy neighbors" problems one often encounters in large-scale container-based multi-tenant deployments. medium.com/@amerather_971…

LangChain Webinar on retrieval for LLMs with Omar Khattab and our very own Jo Kristian Bergum in six hours. Save your spot at crowdcast.io/c/vs7bhtxbersr

New short course with Google Cloud, which Nikita Namjoshi and I teach: Understanding and Applying Text Embeddings with Vertex AI! Come learn about text embeddings, a key part of a GenAI developer’s toolkit. You'll learn to apply embeddings to classification, outlier detection,

Highly recommended

Après un voyage de 2 semaines avec retour sur Casablanca, surprise baggage non encore localisé. Bravo #RAM pour cette médiocrité

TL;DR: We built a transformer-based payments foundation model. It works. For years, Stripe has been using machine learning models trained on discrete features (BIN, zip, payment method, etc.) to improve our products for users. And these feature-by-feature efforts have worked