InfoQ Homepage Artificial Intelligence Content on InfoQ
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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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Autonomous Operations: Microservices, ML and AI
Rob Harrop discusses the increasing automated field of operations and what the future might hold when machine learning and AI techniques are brought to bear on the problem of systems operations.
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Overview of Artificial Intelligence and Its Use in Analyzing “Voice of Cancer Patients”
Alok Aggarwal overviews Artificial Intelligence and discusses a use case, “Voice of Cancer Patients” that uses ML and NLP algorithms to analyze unstructured text written by cancer patients.
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