OutSystems targets AI adoption challenges with Machine Learning Builder

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While there is a growing awareness of the benefits of artificial intelligence to businesses, there are a number of challenges for companies that want to implement AI, such as accessing data science talents and understanding use cases.
In order to fill this gap, application development platform provider OutSystems Inc. launched its Machine Learning Builder, which allows companies to interact with several machine-learning models and put them into production in just a few days.
“This essentially speaks to the fact that a lot of companies do not have access to data science talent; they really struggle to adopt machine learning,” said Antonio Alegria (pictured), head of AI at OutSystems. “We’re also increasing the productivity for customers to implement AI and machine learning. We use partners behind the scenes and cloud providers for the core technology, with automated machine learning and all of that.”
Alegria spoke with Stu Miniman, host of theCUBE, SiliconANGLE Media’s livestreaming studio, during the NextStep 2020 event. They discussed how OutSystems is injecting AI into its products, the capabilities of its new Machine Learning Builder, and the trend toward democratization of AI services. (* Disclosure below.)
Strategies are complementary
OutSystems has two complementary visions and strategies for AI, …

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