Artificial intelligence (AI) in its various forms -- machine
learning, chatbots, robots, agents, etc. -- is increasingly being
seen as a core component of enterprise business workflow and
information management systems. The current promise and hype around
AI are being driven by software vendors, academic research
projects, and startups. However, we posit that the greatest promise
and potential for AI lies in the enterprise with its applications
touching all organizational facets. With increasing business
process and workflow maturity, coupled with recent trends in cloud
computing, datafication, IoT, cybersecurity, and advanced
analytics, there is an understanding that the challenges of
tomorrow cannot be solely addressed by today's people, processes,
and products. There is still considerable mystery, hype, and fear
about AI in today's world. A considerable amount of current
discourse focuses on a dystopian future that could adversely affect
humanity. Such opinions, with understandable fear of the unknown,
don't consider the history of human innovation, the current state
of business and technology, or the primarily augmentative nature of
tomorrow's AI. This book demystifies AI for the enterprise. It
takes readers from the basics (definitions, state-of-the-art, etc.)
to a multi-industry journey, and concludes with expert advice on
everything an organization must do to succeed. Along the way, we
debunk myths, provide practical pointers, and include best
practices with applicable vignettes. AI brings to enterprise the
capabilities that promise new ways by which professionals can
address both mundane and interesting challenges more efficiently,
effectively, and collaboratively (with humans). The opportunity for
tomorrow's enterprise is to augment existing teams and resources
with the power of AI in order to gain competitive advantage,
discover new business models, establish or optimize new revenues,
and achieve better customer and user satisfaction.
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