FUTURE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING BENEFITS VARIOUS INDUSTRY

There has been a lot of hype about machine learning. The advent of big
data, cloud computing, and the Internet of Things, together with
powerful ML tools, have unleashed a wave of excitement around the
benefits of learning. Unfortunately, the results have not always been
that impressive. We need better algorithms, better data, more effective
models, more powerful computing, and faster and smarter data access to
get the most from these techniques. Here we present five challenges to
the future of ML. As the AI and big data industries grow, we are
witnessing an increasing demand for ML engineers. Machine Learning is
fast becoming a core skill for every digital leader and will remain so
for the foreseeable future. ML can transform data into knowledge. This
is something organizations need to create insights from data. In this
paper, we discuss the potential of using machine learning and big data
to predict the future of intelligence. We take inspiration from the many
projects in the field that are already making excellent progress and
explore the possibility of creating a large repository of knowledge
which could be used to build an AI machine capable of self-learning and
thus be forever evolving. We explore the question of what the future
might hold for artificial intelligence and machine learning, and whether
it could one day replace us.