InfoQ Homepage Artificial Intelligence Content on InfoQ
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AI in Medicine
Anthony Chang presents the past of AI in medicine, the current development status, and what to expect from the future.
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Fast, Scalable, Reusable: A New Perspective on Production ML/AI Systems
Ekrem Aksoy discusses why production ML/AI systems should have a different perspective than the usual DevOps perspective which works on data immune systems.
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Solving Business Problems with AI
The panelists discuss using AI in the enterprise to solve business problems.
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The Seven Myths of AI
Robin Bordol dispels some of the myths existing in the media about Artificial Intelligence.
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AI-Based Data Extraction
George Roth presents the challenges of data extraction from unstructured content in the context of preparing the data for Data Analytics.
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The Future of Artificial Intelligence
The speakers in this panel discuss the future of artificial intelligence.
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Beyond Chatbots: The Future of AI and Business
Will Murphy explores chatbots, the use of AI and what’s in store for businesses using them in the future.
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AI from an Investment Perspective
The panelists discuss AI from an investment perspective, the challenges, the risks, trends, the role of Deep Learning, successful AI use cases, and more.
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AI in Medicine
Anthony Chang presents the current status of AI in medicine and the foreseeable future in front of it.
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Using NLP, Machine Learning & Deep Learning Algorithms to Extract Meaning from Text
David Talby walks through building a natural language annotations pipeline with domain-specific annotators, and using deep learning to automatically expand and update taxonomies.
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The Move to AI: from HFT to Laplace Demon
Eric Horesnyi and Albert Bifet discuss how hedge funds have moved beyond High Frequency Trading using AI and real-time data processing.
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The State of AI
Jim McHugh keynotes on the current state of artificial intelligence.
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