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Navigate the world of AI in fintech. This guide clarifies the difference between AI, AI agents, and agentic AI, showcasing how top companies like Upstart, Klarna, and Betterment are using them to innovate lending, security, and investing.

Discover key takeaways from the Western States Acquirers Association (WSAA) conference. Learn how the payments industry is shifting to a data and AI-driven model to solve modern business challenges.

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.

Dive deep into the technicalities of embedding models, vector databases, and optimization strategies to revolutionize information retrieval

Explore the correlation between latency and token generation in Large Language Models. Learn how prompt size impacts response time.

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?