What is no-code AI and why should you care?

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In recent years, the quantity of digital text data has grown exponentially and continues to grow at 55-65% each year (IDC). From social media posts to customer transactions, online communities, surveys, reviews, chats, emails, and more, businesses across industries face the challenge of monitoring various sources and extracting the most relevant data.

Artificial intelligence (AI) and machine learning (ML) help businesses sort through unstructured data more accurately. However, implementing traditional AI and ML require additional manpower and subject matter expertise and can be time consuming and costly. With the advent of new technologies and growth in data, businesses that can extract information and create actionable insights quickly and at scale will have the most leverage in a competitive landscape.

Traditional AI and automation



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