InfoQ Homepage Artificial Intelligence Content on InfoQ
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How King uses AI to test Candy Crush Saga
To be able to improve features in games which are constantly evolving, the challenge will be to scale tests to be on a par with new feature development. Automated tests are vital for King to keep up testing Candy Crush, therefore they are constantly looking for new improved ways to test.
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Q&A on the Book Rebooting AI
The book Rebooting AI explains why a different approach other than deep learning is needed to unlock the potential of AI. Authors Gary Marcus and Ernest Davis propose that AI programs will have to have a large body of knowledge about the world in general, represented symbolically. Some of the basic elements of that knowledge should be built in.
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Building Intelligent Conversational Interfaces
Authors discuss how to build intelligent conversational applications and skills using the conversational AI technology and its three components: interaction flow, natural language understanding (NLU) and deployment.
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The Magic of Organizing around Customer Journeys - and How to do it
Organizing around the value delivered to the customer requires maturity in the organization that needs to be built up over time. This article describes eight typical steps that companies are taking in order to mature towards the end goal of becoming a true enterprise agile organization, and explains how to move up the ladder.
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Why Should We Care about Technology Ethics? The Updated ACM Code of Ethics
The 2018 rewrite of the ACM code of ethics and professional conduct has brought it up-to-date with new technologies and societal demands. This code supports the ethical conduct of computing professionals through a set of guidelines for positively working in the tech industry.
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Using Intel Analytics Zoo to Inject AI into Customer Service Platform (Part II)
This article shares the practical experience of building a QA ranker module on Azure’s customer support platform using Intel Analytics Zoo by Microsoft Azure China team. You can quickly learn step by step how to prepare data to train, evaluate and tune a text matching model at scale and finally productionize it as a service using Analytics Zoo.
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Open Source Robotics: Getting Started with Gazebo and ROS 2
An introduction to Gazebo, a powerful robot simulator that calculates physics, generates sensor data and provides convenient interfaces, and ROS 2, the latest version of the Robot Operating System, which offers familiar tools and capabilities, while expanding to new use cases. Both are open source and used by academia and industry alike.
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The Data Science Mindset: Six Principles to Build Healthy Data-Driven Organizations
In this article, business and technical leaders will learn methods to assess whether their organization is data-driven and benchmark its data science maturity. They will learn how to use the Healthy Data Science Organization Framework to nurture a data science mindset within the organization.
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/articles/testing-conversational-interfaces/en/smallimage/testing-conversational-interfaces-s-1555314066731.jpeg)
Bots Are Coming! Approaches for Testing Conversational Interfaces
Voice-based computing interfaces need testing with an adapted approached, suited for their specificity and context. Some things need to be adapted (test strategy, testing approach, validation criteria), while others can be re-used (e.g. API testing approaches and tools), and some require learning new things (e.g. testing artificial intelligence models and components).
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Q&A on the Book Why Do So Many Incompetent Men Become Leaders?
In the book Why Do So Many Incompetent Men Become Leaders?, Tomas Chamorro-Premuzic explains why it is so easy for incompetent men to become leaders and so hard for competent people - especially women - to advance. He explores leadership qualities and dives into how to recognize them, paving the way to improve leadership in organizations.
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/articles/impact-ethics-conversational-ai/en/smallimage/impact-ethics-conversational-ai-S-1553848635642.jpeg)
The Impact and Ethics of Conversational Artificial Intelligence
Improvements in natural language understanding and our changing relationship means we can use chatbots in ways we couldn’t before - both to augment human conversation and support, or indeed, to replace it. Those working in the software industry must understand and take responsibility for how we use Conversational AI and our users' data.
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What Machine Learning Can Learn from DevOps
The fact that machine learning development focuses on hyperparameter tuning and data pipelines does not mean that we need to reinvent the wheel or look for a completely new way. According to Thiago de Faria, DevOps lays a strong foundation: culture change to support experimentation, continuous evaluation, sharing, abstraction layers, observability, and working in products and services.