Affiliation(s)
1.Research Associate Professor, University of New Mexico, Electrical Engineering and Computer Science Department, Albuquerque, New Mexico USA
2.Professor of Finance and Director of MBA School of Business and Management, San Diego, California, USA
ABSTRACT
The future of any business from banking,
e-commerce, real estate, homeland security, healthcare, marketing, the stock
market, manufacturing, education, retail to government organizations depends on
the data and analytics capabilities that are built and scaled. The speed of change
in technology in recent years has been a real challenge for all businesses.To
manage that, a significant number of organizations are exploring the Big Data
(BD) infrastructure that helps them to take advantage of new opportunities
while saving costs. Timely transformation of information is also critical for
the survivability of an organization. Having the right information at the right
time will enhance not only the knowledge of stakeholders within an organization
but also providing them with a tool to make the right decision at the right
moment. It is no longer enough to rely on a sampling of information about the
organizations' customers. The decision-makers need to get vital insights into
the customers' actual behavior, which requires enormous volumes of data to be
processed. We believe that Big Data infrastructure is the key to successful
Artificial Intelligence (AI) deployments and accurate, unbiased real-time
insights. Big data solutions have a direct impact and changing the way the
organization needs to work with help from AI and its components ML and DL. In
this article, we discuss these topics.
KEYWORDS
Artificial intelligence, resilience system,
machine learning, deep learning, big data.
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