Is your commercial real estate firm being held back by scattered data? Learn why a modern data strategy is no longer optional for driving growth, cutting costs, and staying competitive.
Don't let data problems derail your goals! Learn how disconnected systems, blind spots, limited staff, and AI overestimation hinder success.
Discover how data can boost your payment system's profits. This article reveals strategies to optimize operations, cut costs, and turn your payment data into a competitive advantage.
Discover practical strategies to build a robust real estate data infrastructure from OSCRE Innovation Forum experts at Proxet, AWS, and OSCRE.
Proxet shone at Realcomm 2025—collaborating with innovators, partners, and clients to drive the future of real estate technology.
Fresh from the EDGE Summit—explore the top insights and innovations unveiled at the Emerging Digital & Global Evolution event.
Build a modern data stack by following best practices from data engineering experts. Learn about data maturity, data stack components, and how to build.
Data warehouses have emerged as a viable solution for collecting, analyzing, and leveraging data. Find out if your organization needs a data warehouse.
Take an in-depth look at data platforms, why your business might need one, and tips for making an informed technology decision.
Learn how machine learning powers medical search engines—tackle high data volume and complexity for better results.
For e-banking, simple surveys cannot offer enough insight into customer satisfaction to help make predictions, but machine learning can.
UAI and machine learning in banking are quietly becoming the norm thanks to the improvements in speed and accuracy gained in banking operations.
Using AI and machine learning in banking is a logical development—but how do they work exactly?
What are data lake platforms and how did they come about? What are the components of a cloud data lake? Find out in this article covering the basics!
AWS Datalake is one of the best known solutions for handling vast amounts of varied data. We look at the data lake and its architecture.
Should I build a data lake? What are the benefits and challenges of data lakes?
The future of clinical trials might very much depend on AI-based technology—specifically on machine learning.
Electronic medical records processing, compared to paper-based systems, is much more convenient—but it also brings about another huge advantage.