Every business struggles with parsing and cleaning data, regardless of company size or industry. Pivoting, merging, and standardizing information are time-consuming tasks, no matter how big the data set is. However, companies need to streamline their data analysis process before moving forward efficiently with AI initiatives. That’s where Artificial Intelligence (AI) Data Parser comes into play. AI Data Parser algorithms can streamline your data analysis process by automating some of the most time-consuming tasks involved in manually handling unstructured information. Let’s look at how AI Data Parser can accelerate your AI projects and which use cases could be helpful.

What is AI Data Parser?

AI Data Parser is an AI-powered, automated data parser that can parse and clean large sets of information. It uses machine learning and natural language processing to analyze raw data, identify patterns in text, and extract critical concepts. The AI Data Parser can parse out and clean such diverse data as customer surveys, product reviews, clickbait articles, social media posts, and more.

Why does your company need an AI Data Parser?

Manually handling unstructured information is a time-consuming and inefficient task. It takes up too much of an analyst’s time, which is invaluable for data-driven insights. AI Data Parser can help by automating some of the most time-consuming tasks, manually handling unstructured information. Data parsing can be done in a few ways, but one way is to apply Artificial Intelligence (AI) to the problem. AI Data Parser algorithms can do the heavy lifting for you by automating some of the most time-consuming tasks involved in manually handling unstructured information. Which use cases does AI Data Parser make sense for? Many use cases could be beneficial for your company, including: 

  1. Marketing & Advertising – Using data from past campaigns or live webpages to create improved marketing strategies 
  2. Customer Support – Identifying customer issues and their root causes faster than ever before 
  3. Manufacturing – Understanding production processes better with real-time data insights 
  4. R&D – Gathering data quickly from across organizations to accelerate product development

Which use cases can benefit from an AI Data Parser?

AI Data Parser can be used to parse and clean up data for use in AI projects in various industries. Here are some examples of industries where an AI Data Parser could be utilized

  1. Marketing Department – With the help of an AI Data Parser, marketers can more easily integrate their customer data with their marketing campaigns. This would allow marketing teams to target better ads using customer information to increase the chances of conversion. 
  2. Healthcare Department – In healthcare, data can often be unreliable. One inaccurate or outdated information can lead to inaccurate diagnoses, lower-quality care, and higher mortality rates. The best way to avoid this is by using an AI Data Parser that can quickly identify errors and remove them from your dataset before they become a problem. 
  3. Tax Preparation Firm – Data is everything regarding taxes. IRS guidelines are constantly changing, which means you need to update your records as well repeatedly. An AI Data Parser could automatically extract relevant information that needs updating so you can stay current on filing requirements.

How does an AI Data Parser work?

The AI Data Parser uses an algorithm based on natural language processing to parse free text and convert it into structured data. The benefits of this process are clear: It can increase the volume of data for analysis, automate some of the most time-consuming tasks involved in manually handling unstructured information, and even be used to comply with recent data regulations.

Conclusion

AI Data Parser is a technology that can help you extract insights from your data. It’s not only quick but accurate. To find out more about why your company needs an AI Data Parser, visit www.DeepDatum.ai today.