Proof over Promise Insights on Real World AI Adoption from 2025 MINDS Organizations 2026

MINDS organizations are also successfully adopting data augmentation strategies that pair real-time data sources with legacy and historical data to amplify AI impact. Augmenting forecasting with new data sources BOX 13 Horizon Power and TerraQuanta combine real-time observations with 40 years of historical weather data to improve weather forecasting, enabling better planning and less reactivity in energy trading markets. Their AI-powered forecasting achieves 50,000 times more efficiency over traditional models and improves electricity price forecasts.In the same sector, the National Institute of Clean-and-Low-Carbon Energy built an AI forecasting layer that pairs real-time data like electricity prices and carbon allowance trades with a language model specialized in energy policy and market analysis. This augmented approach gives analysts and planners in energy markets earlier, clearer signals, driving increased sales revenue from trading optimization. Overall, high-performing systems require data that is accurate, relevant and fit for purpose. For leaders, the key question is whether their data foundation supports their AI ambition. Beyond quality and access, two factors are prioritized: –Regulatory compliance requirements can determine what data can be used and shared, particularly in healthcare and financial services. For instance, synthetic data accelerates pharmaceutical research but still falls short of approval standards in most countries. –Collaborative data ecosystems also drive progress, especially for domain-specific and global challenges. As seen during the COVID-19 pandemic, healthcare organizations advanced faster by sharing treatment and outcome data. Organizations can advance such efforts by participating in collaborative ecosystems that create shared resources without exposing raw data.4 19 Proof over Promise: Insights on Real-World AI Adoption from 2025 MINDS Organizations