Intelligence communities across the Western world are now at a crossroads: The growing proliferation of technologies, including artificial intelligence, Big Data, robotics, the Internet of Things ...

For example, data intelligence solutions are used to speed up the drug discovery process, as they help identify patterns in past clinical trial data. In addition, ...

Financial institutions, for example, need to ensure that data and AI governance has the built-in intelligence to fully align with strict compliance and regulatory requirements.

Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

I think it needs to include some data cataloging…And then also governance because you need to understand who is going to be impacted, and so the rolls and responsibility are important. It’s a great ...

For any organization building toward the future of data intelligence, Iceberg is not just a nice-to-have. Instead, it is rapidly becoming an essential component of the modern data stack. Image ...

Understanding the differences between business intelligence, artificial intelligence, and data analytics can be a challenge to many people. For many business processes, there seems to be so much ...

Let's explore new ways to use “search data.” We’ll talk through sources, which data to pull, and how to use it to arrive at powerful insights, fast.

As artificial intelligence evolves, data annotation—or the work done by humans to train AI—has emerged as a potential way to make money. As AI evolves, ... For example, DataAnnotation.tech ...

3. Secure Your Data. Secure data storage is a clear way to prevent security breaches and data leaks. For example, you can use data encryption to make information unreadable to any unauthorized ...

Artificial Intelligence/Data Science. Quantitative Example: A data analyst working in AI might examine big datasets to create prediction models that pinpoint client attrition rates. Qualitative ...