InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Privacy Ethics – A Big Data Problem
Raghu Gollamudi broadly covers best practices with respect to Data Management aspects from mapping Enterprise data to applying Data Protection rules like GDPR at petabyte scale.
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How Machines Help Humans Root Case Issues @ Netflix
Seth Katz discusses ways to build tools designed to enhance the cognitive ability of humans through automated analysis to speed root cause detection in distributed systems.
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Engineering Systems for Real-Time Predictions @DoorDash
Raghav Ramesh presents DoorDash’s thoughts on how to structure ML systems in production to enable robust and wide-scale deployment of ML, and shares best practices in designing engineering tooling.
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ML Data Pipelines for Real-Time Fraud Prevention @PayPal
Mikhail Kourjanski focuses on the architectural approach towards PayPal’s real-time service platform that leverages ML models, delivers performance and quality of decisions.
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Deep Learning for Application Performance Optimization
Zoran Sevarac presents his experience and best practice for autonomous, continuous application performance tuning using deep learning.
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What is a Data Citizen?
Caitlin McDonald discusses how big data affects people online and the ethics to be considered when dealing with data.
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Using Blockchain Routing to Bring Best of Breed Cybersecurity to the Masses
Steve Perkins explains how to use blockchain routing technology and bring cybersecurity to everyone, everywhere, anytime at an affordable price.
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Blockchain-Based Identity Management & Upcoming ICO
Armin Ebrahimi discusses how ShoCard uses the blockchain technology to address privacy concerns in identity management.
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Regulatory Environment and Government Opportunities for Blockchain
Joseph Williams reviews the regulatory issues that face the implementation of blockchain, and discusses where blockchain might first be applied to government operations.
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Solving Business Problems with Blockchain
The panelists discuss the business problems that blockchain can solve.
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Blockchain in Healthcare
Karim Babay discusses how HealthSapiens addresses some of the issues healthcare is facing: high costs, difficulty accessing EMRs, insurance provider network restrictions, lack of transparency, etc..
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R for AI developers
David Smith makes the case for R as a platform for developing models for intelligent applications, offering a few examples with details in the accompanying interactive code lab.
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