November 3, 2020
Future Trends In Technology: Artificial Intelligence
The most commonly fantasized trend that has been gaining recent traction in many fields of studies and how its reach can be applied to many sectors is that of artificial intelligence. Generally, Artificial Intelligence, or AI, “is the field that studies the synthesis and analysis of computational agents that act intelligently” (Poole & Mackworth, June 2010).
According to authors David Poole and Alan Mackworth, defining what is considered an agent and what is considered intelligent is very important. In this case, an agent is someone who acts an environment, and their act is considered to be intelligent when:
- what it does is appropriate for its circumstances and its goals,
- it is flexible to changing environments and changing goals,
- it learns from experience,
- it makes appropriate choices given its perceptual and computational limitations. An agent typically cannot observe the state of the world directly; it has only a finite memory and it does not have unlimited time to act.
(Poole & Mackworth, June 2010)
Given the immensity and important place of actors and strategic decision-making that is taken in regards to the information technology, companies can see how these different factors that individualizes artificial intelligence possesses decisive impacts that mark the business field. In the article “The Impacts of Robotics, Artificial Intelligence on Business and Economics”, Dirican explains that the effects and outcomes of artificial intelligence are trying to take fold within the worlds of business of economics both on a sociological but as well as managerial level.
Dirican explains that “Based on the new trends like artificial intelligence, semantic studies, robotics and mechatronics developments, big data and mining, cloud computing, neural networks or main trends such as social media and through the future directions of banking and financial services, humanity and business environments including but not limited to governments and related organizations will look for new opportunities to lower costs and to increase revenues, by efficiency and productivity…” (Dirican, 2015).
What is compelling about the case of AI is the several connections and its ease in applicability in other related fields that are both directly and indirectly related to the company’s operations. This sheds light on immense potential power that AI can have and the reach that it might potentially have, highly the potential for both success and structural uncertainties that make up for this trend.