Articles

Proving AI ROI to the board: low-hanging, high-impact AI use cases for global occupier services

92% of occupiers have started AI pilots, but only 5% hit their goals. See how Global Occupier Services teams can prove AI ROI with narrow, fast-win use cases.

Realcomm 2026: Closing the loop on Tech REset

Proxet's takeaways from Realcomm 2026: CRE data-first foundations, agentic AI architecture, and feedback loops.

Think "Data Maturity" is already obsolete? Think again.

With AI evolving daily, traditional data checklists are changing. Learn how a modern maturity assessment keeps your AI initiatives grounded and successful.

The operational blueprint for scalable data pipelines in 2026

Learn how to build scalable data pipelines in 2026. Explore a practical lakehouse blueprint and 6 essential practices to optimize your data operations.

Building end-to-end data-driven business solutions with Palantir Foundry and AIP

See how Proxet builds data-driven solutions in Palantir Foundry, from business modeling to AI-assisted automation.

2026 tech outlook: the year of agentic reality & infrastructure reckoning

Discover 2026's top 5 tech trends, from the autonomous digital workforce to the high-stakes world of digital provenance.

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.