7T’s latest whitepaper — titled How to Prepare Data for an Artificial Intelligence Development Project — provides an in-depth technical overview of why data preparation is essential and how to get your data into a state that paves the way for AI development.
AI is one of the most popular technologies on the planet, with more than half of all companies surveyed indicating that they were using AI or were actively developing AI solutions for their organization. But many are a bit dismayed when they learn that they have to prepare their data before a single line of code can be written. That’s where this data prep whitepaper can help, offering a detailed technical overview of precisely what to do and how to do it.
7T AI / ML Engineer Sanjeev Penupala explores a range of topics, including:
- Aligning Data With Your Organization’s Objectives
- Stakeholder Collaboration for Successful AI Development
- Data Collection and Integration
- Data Labeling During the Data Preparation Process
- The Data Cleaning Process
- Exploratory Data Analysis (EDA)
- Data Splitting Data Augmentation
- Data Pipelines
- …And More!
Download your free copy to discover more about how you can use user stories and epics to create a software or app platform that generates a robust ROI for your organization.
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