How Decathlon runs demand forecasting at scale with Chronos-2

This post is co-written with Vianney Bruned, Filippo Giruzzi, Belkiss Saidi, and Carlos Ramirez from Decathlon. Decathlon is one of the world’s largest sporting goods retailers, with more than 100,000 teammates and 400 million users worldwide. The company relies on accurate demand forecasting at scale to support the availability of the appropriate products in each … Read more

Spreading the load: How Salesforce met Multi-AZ HA with SageMaker Inference Components

When Salesforce set out to make Agentforce (Salesforce’s AI foundation for agents) highly available (HA) across multiple Availability Zones (AZs), the team faced a gap. Amazon SageMaker AI Inference Components (ICs) could cut GPU costs, but their default placement didn’t guarantee the Multi-AZ resilience Salesforce’s compliance bar required. For Salesforce, the ICs delivered an 8x … Read more

The HackerNoon Newsletter: 5 Trust-Building Mistakes Smart People Make (8/28/2026)

How are you, hacker? 🪐 What’s happening in tech today, August 28, 2026? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, The End of AppleTalk in 2009, Toyota Motor Corporation Was Established in 1937, First Issue of Scientific American hit the newsstands in 1845, and we present you with … Read more

The Case for a Shared Operating Layer for AI Workflows

Building a second data pipeline is harder than building the first. Not because the engineering is harder, but because nothing from the first build transfers. The state machine is bespoke, the SLA tracking is bespoke, the feedback schema is bespoke. By the third pipeline, we’re maintaining three dashboards, three training data formats, and three definitions … Read more

How LLM Agents Can Orchestrate Cybersecurity Response Workflows

Traditional cybersecurity tools often stop at detection and alerting, requiring human analysts to craft responses. Generative AI changes this paradigm by enabling systems that not only recognize threats but also autonomously plan and execute defensive actions. Modern large language models (LLMs) can analyze unusual activity and propose multi-step response strategies in real time. For example, … Read more