Insights on Applied AI & Innovation

AI Strategy Jun 01, 2026 13 mins read Predicting Ad Revenue at Risk: How Publishers Use ML to Protect Their Programmatic Yield A practical guide to ML for publisher programmatic operations — revenue forecasting, CPM anomaly de… AI Strategy Jun 01, 2026 13 mins read The Paywall Optimisation Problem: How AI Decides Who to Meter and Who to Block A practical guide to AI-driven dynamic paywalling for digital publishers — propensity scoring, mete… AI Strategy Jun 01, 2026 14 mins read AI-Powered Personalisation for News: The Gap Between What Publishers Promise and What They Deliver Why news personalisation consistently underdelivers — the four distinct things called "personalisat… AI Strategy Jun 01, 2026 13 mins read The Newsletter Intelligence Stack: Using AI to Reduce Unsubscribes and Increase Open Rates A practical guide to AI for publisher newsletter operations — send time, content personalisation, u… AI Strategy May 28, 2026 14 mins read Building AI for Diagnostic Imaging: What Works, What Breaks, and What Regulators Will Ask A practical guide to building radiology AI at clinical grade — training data pipelines, scanner gen… AI Strategy May 12, 2026 16 mins read The data problem in healthcare AI: how to train a clinical-grade model when you don't have enough patients Practical data strategies for clinical AI when "collect more data" isn't available on startup times… Data science & AI Apr 30, 2026 7 mins read AI in Media & Publishing: How to Retain Subscribers with Machine Learning In 2025, one of the world's leading financial newspapers won Subscription Retention Campaign of the… Data science & AI Apr 29, 2026 3 mins read Our Head of AI Georgi Nalbantov Represents Our Vision at the BASSCOM AI Conference 2026 On April 29, 2026, our Chief AI Officer, Georgi Nalbantov, attended the BASSCOM AI Conference 2026—… AI Strategy Apr 28, 2026 4 mins read Why Still More Than 75% of AI Pilots Fail to Reach Production And How to Fix It Every week, another company launches an AI pilot. A few months later, it disappears. Not because th… Agentic AI Apr 17, 2026 15 mins read AI in Manufacturing: A Complete Guide to End-to-End Process Optimisation This guide is designed to help manufacturing leaders prioritise the right AI use cases, sequence im… Agentic AI Apr 08, 2026 9 mins read How to Measure the Economic Impact of Agentic AI: A Framework for CFOs and CTOs Measuring the economic impact of Agentic AI requires shifting from simple "Time Saved" metrics to a… Agentic AI Mar 24, 2026 8 mins read The 5 Agentic AI Architectures Every Business Leader Should Know The article explains that agentic AI is not one single technology, but a set of architectural patte… Agentic AI Mar 17, 2026 6 mins read What Is Agentic AI? The Architecture Reshaping Enterprise Intelligence in 2026 Agentic AI describes a new class of artificial intelligence systems designed to autonomously pursue… Data science & AI Feb 12, 2026 6 mins read In-Silico Momentum: Reducing Molecule Discovery Timelines from Years to Months Learn how VECTOR Labs uses Stanford-grade science and specialized models like DiffDock and MolMIM t… Data science & AI Feb 12, 2026 5 mins read Decentralised Intelligence: Why Federated Learning is a Reliable and Compliant Path for Global Pharma R&D Learn how Federated Learning allows global pharma (GSK, Pfizer, Novartis) to train AI models secure… Data science & AI Feb 09, 2026 7 mins read The Resilient Factory: Scaling AI in Pharma Manufacturing and Supply Chain Optimize OEE and reduce batch failure. Learn how VECTOR Labs uses Stanford-grade science and Big 4 … Data science & AI Jan 30, 2026 6 mins read More AI Spending in Insurance: An Analysis of Accenture’s Report Accenture’s report reveals a clear shift: insurers are committing more capital to AI as a strategic… Data science & AI Jan 29, 2026 4 mins read Bridging the Production Gap: From Experimental AI to Measurable Business Value 80% of AI projects fail to reach production. VECTOR Labs uses Stanford-grade scientific rigor and B…