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        Machine Learning is the ability       Natural Language Processing          Computer vision uses deep
        for machines to learn from a          is an area of computer science       learning models to teach
        representative subset of data         that seeks to help computers         computers to identify and
        without being preprogrammed           “understand” human language.         analyze digital images and
        to do so. Instead, algorithms         The advances in this field           multi-dimensional data. The
        help machines identify patterns       have helped develop auto             goal is to automate tasks that
        in order to make predictions or       summarization engines,               require visual understanding.
        decisions.                            chatbots, etc.

                                            Deep learning is a machine learning methodology that relies on huge
 Artificial Intelligence technology has   content analysis. In just the last four years,   amount of raw training data in order to learn a mapping between
 come to dominate the business world in a   these advancements have made a huge   unstructured input data like image data, text data and corresponding
 relatively short period of time. As a concept,   impact on a variety of businesses by   outputs. The algorithm automatically identifies the features in the
 it emerged from a 1956 workshop at   streamlining processes that have been   data. This is in contrast to traditional machine learning algorithms
 Dartmouth College, where a handful of  predominately manual, such as content   where the machine learning engineer designs the learning features.
  computer scientists theorized how   analysis and categorization.
 machines would learn, analyze language,
 and complete tasks. From this workshop,   The applications of AI are nearly limitless,                            All of these capabilities empower professionals to analyze, under-
 the term artificial intelligence (AI) was   and the technology is ushering in a new                            stand, and improve content at scale. SPi Global, a technology
 coined and scientists discussed the future   era of content creation and enrichment.                            provider that helps businesses enrich and transform their content,
 of machine learning, neural networks,   Effectively, AI and machine learning are   is leading the way in developing content-focused AI solutions. Using a combination of the AI technology
 and deep learning–essentially laying the   converting content into actionable data for   described above, SPi Global helps professionals in publishing, finance, and healthcare tackle unique
 foundation for the automation revolution   businesses, helping professionals extract   content production and enrichment problems. Its solutions enable professionals to make business
 now underway.  key concepts from medical research, meet   decisions based on rich data analysis and troubleshoot issues as diverse as email categorization for
 intricate financial regulatory requirements,   the highly regulated financial industry to concept extraction from medical research.
 Many AI applications remained theoretical   and streamline the production of academic   “With the rise of digital content, the pace of content creation has increased dramatically,” explains
 or experimental for decades because most   journals.   SPi Global Vice President of Analytics and Artificial Intelligence, Venkateshwarlu “Venky” Sonathi.
 computers could not process information   “At the same time, more businesses than ever before rely on targeted, valuable content to drive positive
 quickly enough or store the massive amount   Today, the field of artificial intelligence   experiences for their customers. In order for these content-driven businesses to succeed, AI tools have
 of data needed to complete more complex   encompasses several solutions that help   become indispensable.”
 tasks. Only recently have computer   businesses quickly analyze and understand
 processing speeds and storage capabilities   wide swathes of content. Those solutions   In this report we’ll explore several AI solutions that SPi Global has developed to revolutionize how
 advanced to a point where AI can tackle   include machine learning, natural   businesses work with and transform content into actionable data insights, and how businesses are
 highly nuanced problems like language and    language processing, computer vision,   using these tools to unlock new opportunities.
 and deep learning.

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