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Salesforce agreed to acquire SteelBrick for $360 million in an all-stock transaction. “At Salesforce, PredictionIO’s innovative machine learning platform will extend SalesforceIQ’s machine learning capabilities and enhance intelligence across the Salesforce clouds,” said PredictionIO co-founder and CEO Simon Chan. “Being a part of Salesforce will give us an amazing opportunity to continue building our open source machine learning platform on a much larger scale, with the world’s #1 CRM company.” Over the past few years, PredictionIO has been on a mission to scale and simplify development of machine learning technology. What started as a passion project quickly grew into much more—now with a community of more than 8,000 developers powering more than 400 apps. PredictionIO’s open source technology will remain open source and free for all users. Its team will continue to work on evolving the project into a self-sustaining community. The company has been recently reducing its PredictionIO Cluster software fee on Amazon’s AWS CloudFormation, and started offering it as a free service. Data scientists use PredictionIO to evaluate models and keep track of parameter adjustment history. With the DASE architecture, Data scientists can use, or develop, re-usable components such as data sampling methods and evaluation metrics. PredictionIO also helps unify different type of data from multiple platforms and provide an interface for data analysis. Data scientists can look at the data using their favorite analytical tools such as Tableau, IPython Notebook and Zeppelin. PredictionIO helps data scientists evaluate and tune multiple models in parallel effectively and systematically. PredictionIO is an open-source machine learning server for developers and data scientists to build and deploy predictive applications in a fraction of the time. PredictionIO template gallery offers a wide range of predictive engine templates for download, developers can customize them easily. The DASE architecture of engine is the “MVC for Machine Learning,” says the company. It enables developers to build predictive engine components with separation-of-concerns. Data scientists can also swap and evaluate algorithms as they wish. The core part of PredictionIO is an engine deployment platform built on top of Apache Spark. Predictive engines are deployed as distributed web services. In addition, there is an Event Server. It is a scalable data collection and analytics layer built on top of Apache HBase. PredictionIO eliminates the friction between software development, data science and production deployment. It takes care of the data infrastructure routine so that the user’s data science team can focus on what matters most, the company says. Salesforce, the world’s #1 CRM platform, provides enterprise cloud computing solutions, with a focus on customer relationship management to various businesses and industries worldwide. The company was founded in 1999 and is headquartered in San Francisco, California. It has a market capitalization of $51.68 billion.]]>