Challenges Facing Artificial Intelligence Adoption
Research in the corporate and business world has shown that enterprise has gotten into a new era, with the data application taking a center stage. Sometimes back, artificial intelligence (AI) used to be a realm of science fiction, only to emerge as part of the daily business and operations. In the current century, organizations are better placed when it comes to adopting machine algorithms in the identification of trends together with insights into vast data. Basically, the approach enhances the decision-making process, with less time directed towards the same, and potentially positioning companies to be highly competitive in real-time. On that note, this paper seeks to provide a detailed analysis of the different AI techniques applied in the corporate world, as well as their integration in small business.
Studies by Hashiguchi (2017) have confirmed the presence of a few technologies that players in the corporate world are quite excited about as compared to AI. Basically, AI has the capability of reshaping the operations of companies across different functions such as marketing, customer service, and finance. However, the emergence of different technologies, quite a number of challenges has come into play, with the AI presenting no shortage of the same. Below are some of the obstacles in the realization of AI potential:
Data Access
Just as Kowert (2017) puts it, the lifeblood or rather engine of the digital world as well as for organization seeking to embrace AI is data. However, access to data has emerged as a major challenge, inhibiting the adoption and success of AI application in the corporate world. It is for this reason that quite a number of organizations have embarked on investing heavily in infrastructural development with regard to data collection and storage. The heavy investment has further been directed towards recruiting talent that can successfully make use of the availed data.
The absence of Emotional Intelligence
Players in the corporate world have been increasingly looking to embrace AI technology as a way of enhancing their customer service efforts. For instance, companies have been coming up with AI-powered chatbots, to enhance client interaction through such platforms like Facebook Messenger. Despite all this, the AI applications have been lacking emotional intelligence as a relevant factor in ensuring its success. The system has failed when it comes to demonstrating empathy, which in turn has inhibited realization of AI objectives through such applications like chatbots.
Inability to Collaborate
Studies by Vejendla and Enke (2013) have put it clear that success in marketing campaigns calls for coordination of different specialized tasks. This implies that organizations should embrace the corporation of various AIs, as a way of ensuring that the approach takes over the entire product awareness campaign. However, coming up with this kind of collaboration and self-driving marketing campaigns is quite complex and costly, thus a challenge.
