FUTURE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING BENEFITS VARIOUS INDUSTRY

<p><a>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.</a></p>