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How and Why Netflix Built a Real-Time Distributed Graph: Part 1 — Ingesting and Processing Data…

How and Why Netflix Built a Real-Time Distributed Graph: Part 1 — Ingesting and Processing Data Streams at Internet Scale Authors: Adrian Taruc and James Dalton This is the first entry of a multi-part blog series describing how we built a Real-Time Distributed Graph (RDG). In Part 1, we will discuss the motivation for creating the RDG and the …

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How TP ICAP transformed CRM data into real-time insights with Amazon Bedrock

This post is co-written with Ross Ashworth at TP ICAP. The ability to quickly extract insights from customer relationship management systems (CRMs) and vast amounts of meeting notes can mean the difference between seizing opportunities and missing them entirely. TP ICAP faced this challenge, having thousands of vendor meeting records stored in their CRM. Using …

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How Moloco is powering the future of retail media with AI Vector Search

The retail media landscape has reached an inflection point. What started as a way for retailers to monetize their digital real estate has become the fastest-growing segment of digital advertising, with projections showing 21.9% growth in 2025 and a three-year compound annual growth rate of 19.7% through 2027, according to Dentsu’s Global Ad Spend Forecasts …

Developers can now add live Google Maps data to Gemini-powered AI app outputs

Google is adding a new feature for third-party developers building atop its Gemini AI models that rivals like OpenAI’s ChatGPT, Anthropic’s Claude, and the growing array of Chinese open source options are unlikely to get anytime soon: grounding with Google Maps. This addition allows developers to connect Google’s Gemini AI models’ reasoning capabilities with live …