Interpreting the disruptive effects of artificial intelligence

Artificial intelligence software solutions are very likely to be the first subversion of technology in the next decade, such as smart phones and the cloud. Software self-learning capabilities through processing data may stimulate consumer and enterprise applications. Companies embracing artificial intelligence may have a competitive advantage; they may not be affected by subversion and eliminated.

Artificial intelligence is still a new field, but as computing costs decrease, advances in machine learning algorithms, the pace of innovation, and the disruptive potential of startups will accelerate.

Data explosion, cloud computing and algorithms inspire artificial intelligence growth

Cloud computing and machine learning algorithms accelerate the growth of artificial intelligence solutions. These technologies help artificial intelligence applications interpret the exponentially increasing amount of data at a controllable cost. Since last year, interest in artificial intelligence has continued to expand, in line with investment in the field of artificial intelligence. These tools can absorb large amounts of data, run self-learning algorithms, and provide recommendations that enable companies to better understand consumers and increase return on investment.

Wall Street's reliance on data allows it to prepare for the intervention of artificial intelligence

Data-intensive industries such as financial services and the use of Internet services may come to the forefront of artificial intelligence. Tools such as machine learning and deep reinforcement learning to identify models can be applied more easily to data-rich verticals. According to McKinsey's research, half of the financial and insurance industry's workers spend their time processing and collecting data, which is the highest proportion of any industry. Throughout all industries, at least 18% of the work time is spent on the task of processing data.