As companies and organizations collect vast amounts of data each day, it can be a challenge to actually get meaningful insights due to the volume and complexity of the data. This is where data context comes in. By providing additional background information to the data you are collecting, this data becomes easier to understand and use. AI is one powerful tool that assists in providing this data context, and companies like Sifflet have been able to utilize it to help data channels combat the challenge of gathering context. This article will explore how AI does this and how your business can benefit.
What is Data Context and Why is it Important?
Before diving into how context is gotten, let us understand what it is. Data context refers to any additional information surrounding data that makes it easier to understand. It can include dates, times, and locations where the data was collected.
This context is crucial because it reveals the relationship between data and is able to verify its significance and accuracy. It also ensures your data is not misunderstood or misinterpreted.
How AI Provides Context
There are many techniques and technologies AI uses to obtain data context. One method is collecting and combining data from different sources to create a complete picture. It also studies and recognizes patterns in data, such as names, places, and organizations, and uses this information to provide context around the data. It creates knowledge graphs to show the relationship between different subjects and offers more context.
The Benefits of Using AI to Obtain Data Context
Keeping in mind that AI handles tasks automatically, using it to gather context means a steady and consistent flow of accurate data with all relevant additional information surrounding it. This is very valuable to a business and can be used to make well-informed decisions that drive business growth. Data context is essential to every business. Using AI to obtain this context not only makes it easier but also far more efficient.