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DataSecOps: Applying the DevSecOps Mindset to Data Security

Organizations that adapt quickly and develop a strong DataSecOps approach with clearly communicated processes can accelerate their data-driven innovation.

Data Digest: AI Innovation, ML Data Labeling, ML Security

Forces behind AI developments, techniques for labeling data for machine learning, and how to use ML for security.

Data Digest: Defining and Scaling Data Science, Data Sharing

The difference between data analytics and data science, common problems facing data science projects, and benefits of data sharing.

Data Digest: Discoveries in Computing Architecture, Neural Networks, and Meteor Detection

A new molecule to power ultra-fast computing, methods for improving neural networks, and using machine learning to detect and study meteors.

Using Machine Learning for Automatic Database Tuning

Can ML help database administrators improve the performance of the systems they oversee? We asked Andy Pavlo about his research at Carnegie Mellon University and the future of automated tools.

Data Digest: Machine Learning Fundamentals, Bias Detection, Data Quality Improvement

The basics that everyone interested in machine learning should know, how ML may be used to detect bias, and advice for improving data quality.

Data Digest: Hiring, Training, and Supporting Data Scientists

How to build the right data science team, information about data science training at the CDC, and how to encourage data-driven decisions.

Data Digest: AI/ML for Image Recognition, IoT, and Conversation

Using machine learning and AI for real-world applications such as real-time image recognition, leveraging data from the Internet of Things, and responding to customer conversations.

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