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As a digital society built around data and devices, we have reached a pivotal juncture where data and Artificial Intelligence must be accessible to everyone. Riding this trend, many homes now contain smart devices such as the Amazon Echo or Google Home. Yet these devices only offer limited computational power and AI capabilities. To remedy...

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...

It’s hard to believe that we are already three weeks into 2018. If you’re still struggling to get valuable insights from your data, now is the perfect time to try something new! We recently announced Azure Databricks, a fast, easy and collaborative Apache® Spark™ based analytics platform optimized for Azure. With Azure Databricks, you can help your...

Over the past few years, the demand for artificial intelligence (AI) and machine learning capabilities has surged with innovations in natural language processing, task automation, and predictions. From autonomous cars to a more personalized shopping experience, big data and artificial intelligence is at the forefront of new solutions that are delighting customers, improving business operations...

Today we released our Databricks Unified Analytics Platform video. This short video illustrates to analytics leaders how Databricks can unify their analytics efforts onto one platform. This unification makes analytics teams more efficient and enables them to tackle tougher analytics problems. Many organizations are moving to Spark for the awesome big data processing power it...

This is a guest post from Chris Robison, Head of Marketing Data Science at Overstock.com. At Overstock.com we’ve never had a problem with a lack of data. At 19 years old, we have one of the most expansive user datasets in all of e-commerce. As Lead Data Scientist in Marketing, I can look back through...

We’re excited to announce that Spark Summit is expanding its coverage in 2018 to include in-depth content on artificial intelligence. We are also renaming the conference Spark + AI Summit. AI has always been one of the most exciting applications of big data and Apache Spark, so with this change, we are planning to bring...

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...

This is a joint blog post from Matei Zaharia, Chief Technologist at Databricks and Peter Carlin, Distinguished Engineer at Microsoft. Today at Microsoft Connect(); we introduced Azure Databricks, an exciting new service in preview that brings together the best of the Apache Spark analytics platform and Azure cloud. As a close partnership between Databricks and...

99% of organizations still struggle to get valuable analytics from their Big Data and achieve the full potential of AI. Today I’m excited to announce a new partnership with Microsoft that represents a major leap forward in achieving Databricks’ mission of making Big Data and AI easy: Databricks will now be offered by Microsoft as...