Artificial intelligence demonstrates the simulation of human intelligence process through machines and mostly through computers. It is the field of computer science, which emphasizes on the creation of intelligent machine working and reacting like machines (Norman, 2017). It promises for the betterment of the goods and services through automatic several tasks. Innovation is at core of successful implementation of artificial intelligence. Moreover, the companies concentrated on the artificial intelligence must assess the proper areas and innovative technologies to ease up the lives of the human beings.
Over the years, several companies have concentrated on artificial intelligence for leading high level of innovation in different areas of human life. Google is the most popular organization having innovation in their artificial intelligence fields (Hussain 2018). Innovation is rapidly progressing for leading innovative artificial intelligence. However, most of the organizations are only limited to apply the artificial intelligence only on computers and mobile devices (Yun et al., 2016). It is actually limiting the innovation level of artificial intelligence and its ultimate scope in human lives.
Over the years, several researches have been conducted over the area of artificial intelligence. However, most of those scholars has failed analyze the gaps and needs of innovation management in the field of artificial intelligence. This research study will be focusing on discovering the ultimate scope of artificial intelligence through proper management of innovation. Moreover, the research will explore the needs of innovation management towards the better implementation of artificial intelligence in different aspect of human lives. The research will collect proper research methodology and approach for collecting most useful information regarding the topic of the research.
The aim of the research is to examine the needs of innovation management in the artificial intelligence.
- To examine the needs of innovation management in the artificial intelligence
- To identify the issues associated with the innovation in artificial intelligence
- To suggest better innovation management in the artificial intelligence
- What is the importance of innovation management in the artificial intelligence?
- What are the issues associated with the innovation in artificial intelligence?
- How innovation management can be improved in the artificial intelligence?
According to Jha and Topol (2016), artificial intelligence (AI) creates a significant link between human intelligence and computer intelligence. The area of artificial intelligence is associated with the creation of intelligent machines, which behave and work like human. The science fiction often portrays artificial intelligence as robots having human like characteristics. However, the area of AI can encompass from Google search to autonomous weapon of IBM. Till now AI is only limited within weak AI, where the system is generally developed for performing narrow task. Moreover, such artificial intelligence is focused on outperforming specific task like solving equation or playing chess. However, Makridakis (2017) opined that it is the time to broaden the aspects of AI, where the system will be developed for covering the cognitive tasks of the human beings.
Innovation in Artificial Intelligence
Some of the big companies like Google, Microsoft and Apple have introduced significant innovation in AI through their mobile operating system platform. In most of the cases, it is visible that the applications of AI are limited within portable gadgets like smart phones. For Example, Google has introduced Google Assistance Application in the android platform. On the other hand, Apple has introduced AI in its SIRI Application. According to Lu et al. (2018), most of the AIs at present are considered as entertainment purpose for casual consumers. On the other hand, considering the international stakeholders of a business AI helps in easing out the communication purpose. Now it is time for the organizations to innovate ways through which consumers can experience the utility of AI beyond its entertainment purpose.
Improvement of Innovation in Artificial Intelligence
At present, the artificial intelligence should be improved in such way that the consumers are able to utilize those in their daily lives. Moreover, the companies should properly identify the potential scope of AI in smart home. It indicates that consumers will be able to automate their electrical appliances just by triggering some commands. According to Jamal and Syahputra (2016), the application of AI is quite limited to the developed countries. However, it is the time to educate people of developing countries to experience the application of AI in broader aspects. Moreover, it is the opportunities for the business organizations to innovate utility based simple methods that can be easily interfered by the ordinary people (Kokina and Davenport 2017). Therefore, it can be said that organizations have the opportunity to integrate their operating system based platforms with human intelligence, which can be channelized through electronic gadgets beyond smart phones.
Research design defines the framework for conducting the research in getting authentic research result. Research approach is the significant method of gathering authentic research result. Inductive approach requires framing innovative models and theories related to the topic of research. On the other hand, deductive approach requires application of previous models and theories for gathering relevant research information (Lewis 2015). This research will be using deductive approach for saving time and budget through application of previous research theories and models. Research design helps in having proper understanding of research topic. Explanatory design links the research variables for gathering information. Exploratory design explores the research background for having current issues associated with the research (Choy 2014). On the other hand, descriptive research gathers the actual purpose of the research topic. The research will choose descriptive design for having proper understanding towards conducting the research in proper manner.
Data collection defines the most significant ways of collecting data about the research topic. Data collection can be of two type’s namely primary and secondary method. Primary method is related with collection of objective data linked with research topic. Such method is conducted through qualitative and quantitative data collection technique. In such quantitative technique, survey method is used for data collection from distribution of survey questionnaires among the research participants (Fletcher 2017). On the other hand, interview is arranged with the organizational heads for having core organizational information liked with research topic. However, secondary data collection will actually be selected for conducting the research in successful manner. In such method, the research will collect in-depth and authentic information from the authentic journals, magazines, books and websites.
Data analysis converts the general meaning of the collected data into specific meaning for leading authentic research result (Choy 2014). In this research, the research study will be using thematic data analysis for analyzing the collected data from the secondary sources. In this method, different themes will be formulated from the gathered data from the research participants
Ethical consideration is extremely important for completing the research in successful manner. In this research, it will be ensured that data is collected from authentic sources by marinating the criteria of data access. On the other hand, it will be ensured that the collected data will be used for only personal purposes and not for any kind of commercial purposes. Furthermore, all the data protection acts will be maintained in the research for protecting the data from unauthentic access.
Figure 1: Research Plan
(Source: Created by Author)
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