Predicting Purchases with ML: Vidora’s Quarterly Report, Q1 2018

Vidora is excited to share our Quarterly Report for Q1, 2018. It discusses how machine learning can help eCommerce companies with predicting customer purchase behavior.  […]

How Machines Learn – The Top Four Approaches to ML in Business: Vidora’s Article Featured in GigaOM

Michael Firn’s piece on the most common approaches to machine learning for business problems was featured in GigaOM magazine. Machine learning is a hot topic […]

Using Recurrent Neural Networks for Automated Feature Engineering in Churn Prediction

Losing customers is costly for every business. But if you understand the who, when, and why of user inactivity, you can diagnose and reduce churn. […]

How (and whether) to implement machine learning in your organization: Vidora’s Article Featured in VentureBeat

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 […]

Hiring Data Scientists: What the Future Holds

In October of last year, The New York Times published a piece commenting on the arms race to sign top AI talent among the world’s […]

The Four Stages of Building a Machine Learning System

Over the past few years, Vidora has been working with some of the world’s largest businesses to develop and implement  a Machine Learning (ML) system […]

Kaggle Data Scientists Surveyed : The Biggest Challenges Deploying Machine Learning in Businesses

Kaggle recently conducted a survey of 16,000+ data scientists called ‘The State of Data Science & Machine Learning’. In this post we discuss some of […]

Artificial Intelligence, Machine Learning, Deep Learning, AutoML : What’s the Difference?

Artificial Intelligence is one of the hottest topics for businesses globally. And with it, we see many terms like AI, Machine Learning, Deep Learning and […]

Automated Machine Learning: An Introduction

What is Automated Machine Learning? Automated Machine Learning (AutoML) is a field of machine learning concerned with automating the selection and implementation of various machine […]

Can Neural Networks Provide Insight into User Churn?

Introduction At Vidora, we’ve been exploring the potential for learning techniques such as convolutional networks and autoencoders to improve our understanding of why users churn. […]

AI Spotlight Series – An interview with Yael Avidan, Head of Product at Adelphic (Acquired by Time Inc.)

Vidora’s AI Spotlight Series is a series of conversations with leaders, academics and pioneers in the world of artificial intelligence about where AI is today, […]

AI Spotlight Series – An interview with Sakiko Ito, Head of Customer Relationship Management at GYAO Corporation

Vidora’s AI Spotlight Series is a series of conversations with leaders, academics and pioneers in the world of artificial intelligence about where AI is today, […]

Want to Learn More?


Schedule a demo and talk to a product specialist about how Vidora’s machine learning pipelines can speed up your ML deployment and ultimately save you money.