When working with maps, you need to be aware of the differences between the image on your screen and the actual geography. Here are a couple of examples of such spatial illusions, along with their root causes, problems they create, and ways you can solve them in Oracle APEX.

Examine the use of computer vision in retail environments to achieve automated, secure age verification and identity confirmation, crucial in some scenarios.

Learn everything you need to know about using computer vision in retail for analyzing shopper flow and A/B testing designs with data-driven insights.

Read a step-by-step guide to learn how to use different input types in a single interactive grid column.

Learn how to use JMeter to set up a configurable, open-source starter project designed for APEX load testing.

Learn everything you need to know about computer vision applications for proactive equipment maintenance, including use cases, advantages, requirements, challenges and more.

Learn everything you need to know about computer vision applications in agriculture, including details regarding the implementation of this technology, its advantages, and challenges to expect.

A company’s greatest asset is its institutional knowledge, yet employees spend a significant portion of their workday just searching for information. For a mid-sized company, this inefficiency translates to hundreds of thousands of dollars in wasted labor annually. The problem isn’t a lack of data; it’s a fundamental disconnect between how we think and how traditional search engines operate…

When your search system can’t understand that a query for “server migration cost” should return a document titled “budgeting for a cloud transition,” you’re relying on outdated, flawed technology and the cost of this inefficiency is tangible – a 2024 survey showed that businesses leveraging semantic search in their internal knowledge bases saw a 34% reduction in time spent by employees searching for information.

By shifting from static data repositories to a unified, intelligent system, an AI knowledge base fundamentally changes how companies manage and access information. This new approach overcomes the limitations of traditional, siloed systems by using semantic search, vector databases, and knowledge graphs to provide a single, context-aware platform. The result is enhanced productivity, accelerated decision-making, and improved compliance, demonstrating a significant architectural evolution beyond simple data retrieval.