“I went to a supermarket with one of my colleague. Surprisingly I couldn’t find any store keepers or billing counters. He collected few grocery items in the basket and walked out of the store without any billing. At the moment he left the store, the bill of the products that he collect has appeared in his mobile and on verification he made the payment. This was a shopping experience I had from a store at Gold Souk, Kochi.”
Interestingly, this is the scenario of technology driven markets that is happening today. The embryo of this advancement is the application of Artificial Intelligence (AI). Availability of huge data and the capability of mining have lead to the growth of one of the most sought developments in Data Analytics, termed Machine learning (ML). The blooming of ML and its overwhelming demands in various commercial and industrial enterprises has given rise to a cutting edge technology in IT.
Now the machine learning is transforming into natural language processing which equip the machine to sense, understand, act and learn by self. This advancement – Artificial Intelligence is preparing a new era of disruption and productivity by enhancing human resourcefulness by speed and accuracy. The AI is now up not with a new trend, but a flawless enabler of business revolution with sustainable benefits.
AI and ML are being integrated into the enterprise world and are likely to surge in 2018 – ’19 and remain sustainable in the coming years. According to IDC, global spending on AI and cognitive technologies will reach $19.1 billion in 2018, up 54.2 percent compared to a year ago. By 2021 AI and cognitive spending will hit $52.2 billion.
Positively, managing AI is going to be the biggest challenges in the years ahead. Hence this scenario is going to drive up the popularity of python on a higher scale. IEEE’s app rating has listed python in the top spot since 2017 and is still continuing. ZDNet’s David Gewirtz points out by the multi-index analysis that the top three languages include Java, C and Python.
Machine learning with python is opening huge opportunities in creation of robust high performance ML applications. Python as an interpreted object level programming language which has an easily accessible syntax and readability. Moreover, Python offers dynamic data type and interfaces to many system calls and libraries. It is rated as the most effective language to manage mathematical operations which is the pivot of ML.
Since the scenario in IT seem to converge to most significant technological triplet – AI, ML and Python. It would be the right choice for an enthusiast in technology to nurture the competency with Python so as to unlock the immense opportunities in ML and AI.