Those of us who may be short on time and haven’t been able to get to that autobiography we’ve been meaning to write need worry no longer: Artillect Publishing will do the work for you by scanning your online presence, merging some ancillary information and producing your sure-to-be best-selling biography. Using artificial intelligence in its production process, Artillect is just one example of the increasing number of applications of artificial intelligence (AI) replacing inefficient processes, creating new products and adding insight to publishing.
News organizations including the Washington Post and Associated Press have been using artificial intelligence tools to create news reports for weather, sports and financial reporting where interpretation of the day’s (or game’s) activity can be fairly straightforward. As these uses have grown in acceptance and utility, the use of AI to deliver more complex products is also growing. AI tools can analyze text, images and data and deliver to a journalist sufficiently structured content around which they can build articles and stories. AI tools can do this faster, more comprehensively and with greater accuracy than traditional research methods. In analyzing text or images, AI tools can characterize the content: Positive/negative, liberal/conservative, for example. Journalists have even used this capability to change editorial content to match specific political viewpoints, creating liberal, center and/or conservative versions of the same article.
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[J]ournal publisher Taylor & Francis (T&F) announced two partnerships with AI companies to add AI tools to their editorial processes. In the first of these, T&F are working with Katalyst Technologies to create “contextual copyediting” using AI and natural language processing to assess and score the language quality of articles accepted into their journal’s workflow. This use of AI is designed to make their editorial process more efficient by identifying and classifying journal submissions.
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StoryFit: Uses machine learning and data analysis to predict content marketability, improve discovery and drive sales for publishers and movie studios.
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Ross Intelligence: Using a combination of IBM Watson and proprietary algorithms, ROSS is the AI-driven successor to tools like LexisNexis and supports both legal discovery and legal research findings.
Link to the rest at Personanondata