InfoQ Homepage QCon Software Development Conference Content on InfoQ
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Rethinking HCI with Neural Interfaces @CTRLlabsco
Adam Berenzweig discusses what happens when we decouple the user interface from hand-held hardware, as well as the emerging field of neural interaction design.
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UI Evolving, Platform Evolving, Architecture Evolving
Xianning Liu explains the user interaction paradigm shift in the industry, and how to evolve the enterprise architecture to support these changes.
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Ethics in Computing, from Academia to Industry
Kathy Pham highlights considerations of ethics, social responsibility, and long-term impacts of software industry products, and the culture to build software and services for all people.
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Spurring the Ethical Imagination
Natalie Evans Harris discusses how to incorporate ethical decision-making and identify ethical dilemmas working with data.
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Organizing for Your Ethical Principles
Liz Fong-Jones discusses how to effectively accomplish change in our working conditions or our employer's products through grassroots employee advocacy.
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Ethics in Computing Panel
The panelists discuss the important points around privacy, security, safety online, and intent of software today.
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Data, GDPR & Privacy: Doing It "Right" without Losing It All
Amie Durr talks about the privacy concerns and subsequent regulations, and how to operate a business that does the "Right" thing for the consumer, without impact the ability to innovate and grow.
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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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