Artificial intelligence software solutions are likely to be the first disruptions in technology in the next decade, like smartphones and the cloud. Software's self-learning capabilities by processing data can spur consumer and enterprise applications. Companies that embrace 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, the advances in machine learning algorithms, the pace of innovation, and the disruptive potential of startups will accelerate.
Data explosion, cloud computing and algorithms stimulate the growth of artificial intelligence
Cloud computing and machine learning algorithms have accelerated the growth of artificial intelligence solutions. These technologies help artificial intelligence applications interpret exponentially increasing amounts of data at a controlled cost. Since last year, interest in artificial intelligence has expanded and is consistent with investments in artificial intelligence. These tools can extract 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 prepares it for the intervention of artificial intelligence
Data-intensive industries such as financial services and the use of Internet services may first hit the impact of artificial intelligence. Tools such as machine learning and deep reinforcement learning for identifying models can be more easily applied to data-rich vertical areas. According to McKinsey's research, financial industry and insurance workers spend half of their time processing and collecting data, which is the highest proportion of the various industries. Throughout all industries, at least 18% of working time is spent on tasks that process data.
As smart applications mature, software makers may rely on artificial intelligence to survive
In the next few years, all software applications will have embedded artificial intelligence. Early examples include Google Photos, chat bots, Google Assistant, Amazon Alexa, and IBM Watson. With the development of artificial intelligence, the survival of ordinary software will become very difficult, because the software integrated with artificial intelligence has great productivity differences. Gartner's hype cycle predicts that smart apps will have a mature window of two to five years.
Artificial intelligence will provide a powerful boost to Uber's subversion.
The disruption of old business models by companies like Uber, Airbnb and Netflix will accelerate with the increased involvement of artificial intelligence. The initial disruption was driven by smartphones and cloud computing, and it was probably driven by artificial intelligence. Cloud-based companies will be at the forefront of this revolution. The flexibility afforded by the cloud allows these companies to change their products and services much faster than traditional companies, thus accelerating the pace of disruption.
Google, Facebook, Amazon show the progress of artificial intelligence
The use of artificial intelligence by Amazon, Google, and Facebook demonstrates the potential competitive advantage that this technology can offer. Most of the progress is happening behind the scenes, which makes it difficult to measure the speed of innovation. With the spread of fear of being replaced, early artificial intelligence may exacerbate the urgency of companies adopting this technology. AI-powered recommendations have boosted user engagement on YouTube, and computer vision has helped Google Photos win 200 million users.
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