Company Blog › Machine Learning

Everyone who has tried to do machine learning development knows that it is complex. Beyond the usual concerns in the software development, machine learning (ML) development comes with multiple new challenges. At Databricks, we work with hundreds of companies using ML, and we have repeatedly heard the same concerns: There are a myriad tools. Hundreds...

Databricks is thrilled to announce the Databricks Runtime for Machine Learning, including ready-to-use Machine Learning frameworks, simplified distributed training, and GPU Support. Register for our upcoming webinar to learn more. Today more than ever, data scientists and Machine Learning practitioners have the opportunity to transform their business by implementing sophisticated models for recommendation engines, ads targeting,...

The AI Dilemma Artificial Intelligence (AI) has massive potential to drive disruptive innovations affecting most enterprises on the planet. However, most enterprises are struggling to succeed with AI​. Why is that? Simply put, AI and Data are siloed in different systems and different organizations.​ Enterprise data is siloed across hundreds of systems such as data...

In recent years, machine learning has become ubiquitous in industry and production environments. Both academic and industry institutions had previously focused on training and producing models, but the focus has shifted to productionizing the trained models. Now we hear more and more machine learning practitioners really trying to find the right model deployment options. In...

Today we announced that Amazon has awarded Databricks with the Amazon Web Services (AWS) Machine Learning (ML) Competency status. This designation recognizes Databricks for enabling data scientists and machine learning practitioners with tools to take their data, train predictive models and make predictions on new data. Attaining the AWS ML Competency demonstrates to customers that Databricks...