Google’s Recommender System Breakthrough Detects Semantic Intent

Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.
InfoQ

Engineering Speed at Scale — Architectural Lessons from Sub-100-ms APIs

Sub‑100-ms APIs emerge from disciplined architecture using latency budgets, minimized hops, async fan‑out, layered caching, ...
InfoQ

Lessons Learned From Building LinkedIn’s First Agent: Hiring Assistant

Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated ...
ET BrandEquity

Weaver, Guardian, Navigator: The Sovereign Brand Summit

Explore how ITC, Reliance, and Maersk redefine business sovereignty, promoting generational value and sustainability while ...

Architecting the Connected Retail Future: A Cloud-Centric Data Fabric for Omnichannel Agility and Hyper-Personalization

This work constitutes a major scholarly contribution to information systems design and offers a pragmatic blueprint for retail enterprises seeking competitive advantage in a connected future.
ZDNet

Stop using ChatGPT for everything: I use these AI models for research, coding, and more (and which I avoid)

Different AI models win at images, coding, and research. App integrations often add costly AI subscription layers. Obsessing over model version matters less than workflow. The pace of change in the ...
CSOonline

From feeds to flows: Using a unified linkage model to operationalize threat intelligence

Every CISO knows the fatigue that comes with modern threat intelligence. Dozens of vendor feeds pour in daily — STIX packages, IP blocklists, domain indicators, malware hashes — all claiming to help ...
Forbes

Gated Decisions: An Optimal Path In Real-Time Data Flows

In today’s digital economy, data moves faster than ever. But despite all the hype around "real time," what truly matters isn’t just speed. Many organizations chase throughput, but the real ...