Vidora CEO Alex Holub’s piece on whether businesses should implement machine learning into their organizations was featured in VentureBeat magazine. Machine learning (ML) is making a substantial impact on businesses across the world in a host of different industries. However, many still struggle to fully understand exactly when and where to implement machine learning in order to get the best results.

In the article, Alex goes through the questions a business should ask when looking to implement ML. He also discusses some of the typical use cases we see here at Vidora. Finally, he describes the best ways to evaluate whether ML is giving your business the results it’s looking for.

Read the full article in VentureBeat here.

Vidora enables anyone in any business to build and use complex machine learning models. With Vidora’s self-service platform, Cortex, machine learning is intuitive, interpretable and fast. Cortex also automates the entire machine learning pipeline from raw data to model outputs, and the Items API is an important component of that. Experts in machine learning and artificial intelligence from Stanford, Berkeley and Caltech developed Cortex. Finally, Cortex sits at the heart of some of the largest global brands, such as Walmart, News Corp, and Discovery.

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