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Access control for big data analytics needs policy-based security that includes context as well as users and roles
Spark MLlib enhances machine learning because of its simplicity, scalability, and easy integration with other tools
Four new data-centric services hosted on Bluemix PaaS expand on IBM's ambitions to build machine learning services for business
Machine learning is infusing applications with predictive power -- but unless you give machine learning models ongoing attention, that power will fade away
Companies need a governance strategy to check their predictive models are not based on faulty or outdated assumptions
Doug Cutting anticipates growth ahead and opportunities all around for the Hadoop ecosystem
In an exclusive interview, CTO Zorawar Biri Singh sketches Cisco's future role in a next-generation data center infused with containerized microservices and pervasive analytics
Spark and big memory have the potential to run big data workloads without copying gobs of data to a new storage infrastructure
A new initiative by AMD to create an open source toolchain for GPU development could make machine learning frameworks easier to develop
Businesses and technology leaders have learned a lot about the importance of data and the need for data scientists, but do they understand what the role of a data scientist should entail?