Artificial intelligence (AI) is about getting software to write software. However, writing the software to do that requires a bit, if not lots, of programming skill and time.
H2O.ai has introduced a no-code tool that makes it easy to create deep learning models not just with data but image, video and natural language processing.
Developed by Kaggle Grandmasters (the world’s best data scientists), H2O Hydrogen Torch opens a large window of opportunities to companies of all sizes, levelling the playing field with AI.
Through a simple, no-code user interface, data scientists and developers can rapidly make models for numerous image, video and NLP processing use cases, including identifying or classifying objects, analysing sentiment, or finding relevant information in text.
This is particularly useful as up to 90 percent of data are unstructured, making it hard to derive value from them.
With H2O Hydrogent Torch, organisations can start making use of unstructured data to create deep learning models for AI applications. For instance, it can be used in healthcare for computer-aided disease detection or diagnosis through the analysis of medical images, saving medical practitioners time and improving quality of treatment.
In the insurance industry, automation of claims and damage analysis from reports and images can assist in fraud detection and expedite processing of genuine claims.
Manufacturers can use AI for predictive maintenance by analysing images, videos and other sensor data to minimise disruption and downtime.
“Accelerated by COVID-19, video streams, speech, audio podcasts, email, and natural language text have become the fastest growing data for our customers in every industry. Transforming and fine-tuning pre-built deep learning models to deliver high accuracy requires a no-code AI engine to democratise AI for these use cases,” said Sri Ambati, CEO and Founder of H2O.ai.
“With H2O Hydrogen Torch as a core AI Engine of the H2O AI Cloud, our customers can train models in deep learning and better serve their customers and challenge tech giants,” he added.