Cold-start forecasting has long been a challenge for businesses trying to predict outcomes without historical data. This article explores how synthetic data can solve this problem by leveraging historical pattern transposition, with insights from industry experts who have successfully implemented these techniques. Learn practical approaches that companies are using to generate accurate forecasts even when starting from scratch.
Building retrieval systems that work with multiple data types sounds straightforward until teams try to deploy them in production. This article breaks down practical approaches to multimodal RAG, with insights from engineers who have shipped these systems at scale. Learn how to handle intent routing and resolve the common pitfalls that occur when user queries don't match your indexed content.
Retailers are abandoning autonomous checkout systems in favor of more practical solutions that address real operational challenges. This shift represents a significant reversal in the industry's approach to store automation and customer experience. Industry experts weigh in on why businesses are prioritizing operational efficiency over flashy technology.
Extended reality app development presents unique obstacles that can derail even experienced teams. Industry professionals have identified critical technical hurdles that frequently catch developers off guard, from performance bottlenecks to environmental compatibility issues. This article shares expert-backed strategies to tackle these challenges head-on and deliver robust XR applications.
Getting employees on board with new XR technology can be one of the biggest hurdles organizations face during implementation. This article outlines eight proven strategies to address resistance, featuring insights from experts who have successfully introduced extended reality solutions in their workplaces. From building internal champions to demonstrating measurable ROI, these practical approaches help organizations move past hesitation and toward meaningful adoption.
Artificial intelligence has proven itself capable of spotting fashion trends before they hit the mainstream, often catching movements that traditional forecasters overlooked entirely. This article examines seven specific instances where machine learning algorithms identified emerging styles ahead of industry experts. The insights gathered here come from fashion analysts, data scientists, and trend forecasters who have witnessed AI's predictive capabilities firsthand.
AI agents are transforming how professionals make decisions across industries, from marketing and client services to insurance and hiring. This article explores nine specific ways these systems are uncovering patterns and insights that humans might miss. Industry experts share real-world examples of how AI is identifying risks, predicting outcomes, and revealing hidden opportunities in their daily work.
