Abstract:
Artificial intelligence appears to be the focus of this decade. Without a question, AI plays a significant
role in the current economy around the world. However, pursuing innovation or research within a
business requires a fresh approach, and Artificial Intelligence can undoubtedly help. Application-
oriented learning research has grown in popularity since 2009. When we refer to automation-oriented
applications like robotics, the potential for current advances in "deep learning" as a general-purpose
method of invention may be substituted. This can be described as a paradigm shift away from labor-
intensive, systematic research and toward research that incorporates passively generated huge datasets
and improved prediction algorithms. It will not only assist organisations in mastering this form of study, but it will also provide potential commercial advantages. This strategy can assist in the acquisition and control of big datasets and application-specific algorithms. We believe that organisations should adopt rules that foster transparency and sharing of essential datasets across public and private players, since they will be critical instruments for boosting research productivity and innovation-driven competition in the future
