Scott Drzyzga, executive director of the Pennsylvania State Geospatial Coordinating Board, presenting at the 2026 National ...
Microsoft’s Azure-based AI development and deployment platform shines with a strong selection of models and agent types and ...
Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. At Data Summit 2026, James Serra, data and AI Architect at Microsoft, held his ...
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Excel has grown into a powerful hub for data preparation, modeling, and automation. With tools like Power Query, Power Pivot, dynamic arrays, and Office Scripts, you can connect to multiple sources, ...
Most enterprise AI fails not because the models are flawed, but because the data is fragmented across disconnected systems and ungoverned at the exact points where AI agents need to act, producing ...
Most AI systems are trained on historical data. When conditions shift due to changing consumer sentiment, models trained on ...
When most people hear “observability,” they think of on-call rotations, alerts and dashboards for SREs. That narrow view is ...
Autoregressive models predict future values using past data patterns. Discover how these models work and their application in ...
Computational modelling, machine learning, and broader artificial (AI) intelligence approaches are now key approaches used to understanding and predicting ...
Dive into The Register's online archive of incisive tech news reporting, features, and analysis dating back to 1998 ...
Explore mathematical economics—a method utilizing quantitative tools and models for economic theory analysis. Learn its ...
Bitcoin’s dominance, renewed institutional appetite, and a regulatory climate finally tilting in crypto’s favor means one thing: hiring is back. The roles opening up right now are the ones that define ...
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