prepare training data

Gleematic can help to Prepare Training Data for Machine Learning

Today, businesses are often searching for solutions that allow machine learning (ML) to prepare the data more quickly and accurately. So it is important to ensure that the data are clean, consistent and reliable before you venture into a machine learning model or any other analytical project. As many of the current analytics rely on the meaning of the data, it is crucial that the tasks should be carried out for those most closely related to what the data actually represents.

Nonetheless, business users don’t usually have the data science skills to close the gap between quickly getting value from the results. As a result, many people prepare data to help data scientists and machine learners easily plan and annotate their company data in order to maximize the value of data for computational workloads in the business as a whole.

How can Gleematic help prepare training data on machine learning? Here’s a brief explanation:

  • You only need to prepare data for Predictive Analytics, because Gleematic can enter your ERP or CRM software and extract data and fill it into Excel based on the features you need.
  • You need to create documents for training, you can program Gleematic to make several variations of the same document template for intelligent document extraction.
  • If you want to classify and predict certain images into categories/names, Gleematic can access a web portal to download different images based on your search parameters for machine training.

It is very important to have organizations able to train, test and validate models before they are used in production to create effective machine learning models. Data preparation technology is used to create the clean and annotated foundations required for modern machine learning, which traditionally takes more time to generate good data than in other areas of the machine learning process.

Solutions such as Glematic is able to prepare training data to overcome various data challenges and enable machine learning and data science workflows that enhance artificial intelligence applications. More importantly, this makes it possible for users to create/ generate data on-demand to help each person, process, and system in the organization.

Written by: Benny Tan

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