Page 2 - SPi Global Whitepaper_Transform, Content to Actionable Data and Unlock New Business Opportunities Through AI

2 Transform, Content to Actionable Data and Unlock New Business Opportunities Through AI
Artificial Intelligence technology has
come to dominate the business world in a
relatively short period of time. As a concept,
it emerged from a 1956 workshop at
Dartmouth College, where a handful of
computer scientists theorized how
machines would learn, analyze language,
and complete tasks. From this workshop,
the term artificial intelligence (AI) was
coined and scientists discussed the future
of machine learning, neural networks,
and deep learning–essentially laying the
foundation for the automation revolution
now underway.
Many AI applications remained theoretical
or experimental for decades because most
computers could not process information
quickly enough or store the massive amount
of data needed to complete more complex
tasks. Only recently have computer
processing speeds and storage capabilities
advanced to a point where AI can tackle
highly nuanced problems like language and
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Transform, Content to Actionable Data and Unlock New Business Opportunities Through AI 3
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
content analysis. In just the last four years, amount of raw training data in order to learn a mapping between
these advancements have made a huge unstructured input data like image data, text data and corresponding
impact on a variety of businesses by outputs. The algorithm automatically identifies the features in the
streamlining processes that have been data. This is in contrast to traditional machine learning algorithms
predominately manual, such as content where the machine learning engineer designs the learning features.
analysis and categorization.
The applications of AI are nearly limitless, All of these capabilities empower professionals to analyze, under-
and the technology is ushering in a new stand, and improve content at scale. SPi Global, a technology
era of content creation and enrichment. provider that helps businesses enrich and transform their content,
Effectively, AI and machine learning are is leading the way in developing content-focused AI solutions. Using a combination of the AI technology
converting content into actionable data for described above, SPi Global helps professionals in publishing, finance, and healthcare tackle unique
businesses, helping professionals extract content production and enrichment problems. Its solutions enable professionals to make business
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.
and streamline the production of academic “With the rise of digital content, the pace of content creation has increased dramatically,” explains
journals. SPi Global Vice President of Analytics and Artificial Intelligence, Venkateshwarlu “Venky” Sonathi.
“At the same time, more businesses than ever before rely on targeted, valuable content to drive positive
Today, the field of artificial intelligence experiences for their customers. In order for these content-driven businesses to succeed, AI tools have
encompasses several solutions that help become indispensable.”
businesses quickly analyze and understand
wide swathes of content. Those solutions In this report we’ll explore several AI solutions that SPi Global has developed to revolutionize how
include machine learning, natural businesses work with and transform content into actionable data insights, and how businesses are
language processing, computer vision, using these tools to unlock new opportunities.
and deep learning.
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