As a small, independent book publisher, Amberjack Publishing has a similar goal as its larger counterparts: deliver great books to its target audience. With only a handful of staff members and a limited infrastructure, how does Amberjack stay competitive? They leverage AI to level the playing field. AI may be new to publishing, but it
How one publisher boosted engagement over 100% with StoryFit
Filed Under: AI, Amberjack, discoverability, Publishing, CTR, Publishers
5 ideas production companies can steal from Netflix and Hulu
Online streaming initiated a fundamental shift in the entertainment industry. Two significant players–Netflix and Hulu–led the charge, pushing the bounds of how audiences consume entertainment and what they expect from their entertainment. Blending data analytics, ad sales, and devotion to storytelling, their innovations and practices have produced tried and true methods that producers and studios
Filed Under: strategy, Movies and Television, Business Intelligence, hulu, marketing intelligence, netflix
How to Use and Read ONIX Book Files: Getting the most out of metadata
Filed Under: ONIX, Editeur, Publishing, keywords, metadata
Do You Have to be a Data Scientist to Use Artificial Intelligence?
Demystifying the complexity of Artificial Intelligence Publishers and studio executives are faced with using new technologies in their day-to-day business and creative decisions to keep pace with emerging markets, trends, and audience behavior. In recent years, the fastest growing technology of them all has been Artificial Intelligence. A simple definition of AI is “intelligence exhibited
Filed Under: Movies and Television, Publishing, Artificial Intelligence for Business, Business Intelligence, data science, machine learning, marketing intelligence, netflix
New AI ‘Emma Identity’ Detects Distinct Writing Styles
Earlier this year a new AI application was released to the public that is able to read text and define an author’s style. Called Emma Identity, the software combines natural language processing (NLP) and machine learning with the techniques of stylometry (the study of linguistic style). Given enough information—in this case, at least 5,000 words—Emma
Filed Under: emma identity, writing analysis, data analytics, Google brain, natural language processing, Technology & Culture