Introduction of Google and innovation trend
Strategic innovation allows an organization to break through traditional mold as well as obtain the benefits over the organizations that sell the products. On the other hand, the business world is changing and it becomes important for others to recognize the changes and implement in the organization. Development of the strategies is helpful staying competitive business strategy. Present study deals with discussion of Google, the selected organization and innovation trend as artificial intelligence implementation.
In addition, definition of the concepts like Organizational environment, innovation trend, innovation strategy, innovation capabilities, innovation value creation and capture as well as their relationship has been discussed in the present case. The process of creating innovation strategy ensuring the strategic alignment with Google as well as its significance and the impact of implementing strategic responding to the trend is discussed in the paper. In the present study, artificial intelligence has been selected as strategic trend in Google.
Introduction of Google and innovation trend
Google LLC is one of the American multinational technology organizations that have specialization on internet-related services as well as products (Tukker et al., 2017). It also includes online advertising technologies; cloud computing, search engine, software as well as hardware. The rapid development in Google since incorporation has triggered a chain of service as well as products, acquisitions along with partnership beyond the core search engine of Google. It also offers several services that are designed for work as well as productivity.
Google has implemented artificial intelligence as strategic innovation so that the organization can gain competitive benefits. In this perspective, the organization has made a division that is solely dedicated to artificial intelligence. The organization has made several services that are based tensor processing units for developing machine-learning software (Charles et al. 2017). In addition, development of TensorFlow that will provide the researchers a free cluster of several cloud TPUs in order to perform the machine learning research on under some conditions.
Definition of the concepts and their relationship: Organizational environment, innovation trend, innovation strategy, innovation capabilities, innovation value creation and capture
An organizational environment can be composed of the forces or organizations that surrounds the organization an affect resources, performance and operations. It also consists of the components existing outside of boundary of the organization. It has potential affecting a portion of the organization (França et al. 2017). The instance consists of government regulatory agencies, competitors, suppliers as well as pressure from public. In order to manage the enterprise effectively, the managers require comprehending the environment.
Innovation trend deals with creative as well as original work and thinking process. Every organization, person as well as product requires to be perceived as innovative. However, the process that separates actual process of innovation from others is considered as the idea of enhancement. On the other hand, innovation trend requires research and development according to the present trend. It helps the organization to improve the process of gaining competitive benefits in the marketplace.
An innovation strategy deals with creating winning products that describes the products or services are attractive. The products are in attractive market target for profitable consumer segment that can address the products properly (Dentchev et al., 2016). On the other hand, innovation strategy is a plan used by an organization in order to encourage advancements in technology or services.
Definition of the concepts and their relationship: Organizational environment, innovation trend, innovation strategy, innovation capabilities, innovation value creation and capture
Initiatives for innovation are one of the easy ways to be started. Team are generally developed as well as enthusiastically start with the new ideas, which can be helpful for the organization to serve the consumers as well as develop new platforms for future development. Developing sustainable innovation capability is considered as combination of developing individual skills as well as capacity of the organization such as policies, process, infrastructure and resources. Hence, it is required to focus on the process of adopting artificial intelligence in Google.
Value capture is considered as one of the procedure of retaining the percentage of value given in all transactions (Weaver et al., 2017). On the other hand, bringing value to the end customers is considered as a major challenge for business in the emerging markets. A proper review of the theoretical concepts of the business models as well as applicability in the process.
How creation of an innovation strategy ensures strategic alignment within the organization and its importance
It is important to create a link between innovation strategies that can ensure strategic alignment in Google. Effective communications as well as linkages with the sources of technology external and internal need to be performed. Innovations as well as new technology are a part of making corporate strategy in Google that makes integration of the departments with the innovative ideas or approach (Singla et al., 2017). Committing resources like money as well as materials for new projects after the process of screening of the projects as well as continuous screening process.
Joyce and Paquin (2016) stated that efficient methods of managing development work with appropriate base of production and adequate supplier base along with commitment to quality. Strong customer orientation with the participation of user in the procedure is required in it. In Google, management of the organization make the strategies to ensure strategic alignment.
The impact of selected innovation trend on Google
Artificial intelligence has continued to a main driver of making digital transformation with rapidly advancement of technology. It has a great impact on business strategy as well as operations, interacting customers along with workforce. Embedded deep learning becomes the focus of software product (Evans et al., 2017). In Google, it starts to inquire regarding the machine learning as capabilities of service. In a addition, there are several vendors already consists of machine learning in the products in order to improve as well as automate specific functionalities and develop marketing campaigns.
Apart from these, it is important to focus on the open data sources for getting advantages of machine learning developers. AI is effective as data that it involves it learning from, when developing embedded application. Google do not have any issue on evaluating mammoth data sets, as the businesses are very large so that it creates and endless supply of data. On the other hand, small business does not have luxury and take benefits for the data sets. In addition, businesses will to hoard own data confidentially. Google using artificial intelligence has data sharing process and primarily deals with data security.
How creation of an innovation strategy ensures strategic alignment within the organization and its importance
The software vendors as well as business of Google will open up the data to make the partnership opportunities in the data swaps. It will specifically assist the embedded with the process and valuable data to improve the process. Adoption of artificial intelligence in Google will be driven through digital platform providers and the same way that the organizations will create the process. On the other hand, robotics process automation will develop emergence in workplace of the organization. The technology is currently an infancy stage. However, intelligent robots are created that can access software for automation and implement artificial intelligence for the business operations as well as process of automation.
Innovation strategy responding to the trend
Google bases the breakdown of innovation on typology of innovation. It has been formulated through the experts in measurement field as well as assessment of innovation activities across the world. The primary innovation activities of business are defined as well as identified through the organization (McKinseyGlobalInstitute, 2018). The department of innovation in Google has the responsibility for implementing innovative ideas that has specific time. On the other hand, the innovative ideas are analyzed as per the required process (Schaltegger et al., 2016). In addition, it is important to ensure that artificial intelligence adoption will encounter the current trend.
Innovative ideas and the key success factors are helpful to organize the innovation activities in the organization. As the current world is focusing on the process, it is required to devote adequate attention to the teamwork resources. In addition, adoption of organizational structure of the innovative ideas is supported with positive attitude of the management as well as reward the process.
Recommendations for how the organization best ensures strategic alignment addressing the innovation trend
The recommendations for of artificial intelligence in Google are as follows: –
Better understanding of the demands of clients: Major advantage of implementing artificial intelligence is that the stakeholders of the organizations who wants to know the requirements of the global audience can get the information from Google with the help of implementation of Artificial Intelligence in the platform of the Google framework (Hsu et al., ). This leads to the fact that the data that are stored in the data center of the Google that can be accessed properly by the organization, leading to the fact that proper accuracy of the evaluation is maintained. This is one of the major reason that implementation of Artificial Intelligence acts beneficial to the companies who are reliable on the framework of Google.
Taking real time actions: Another major advantage of implementing the Artificial Intelligence in the platform of Google is that the data that are generated during the survey that is taken by the organization can be evaluated instantly and this data will surely help the organization for better management of the business management. This is one of the main reasons that Google has been implementing the Artificial Intelligence in their platform as this will increase their global popularity in the field of corporate sector (FiveFifty, 2018). This is the main reason that the implementation of Artificial Intelligence in the infrastructure of Google has been increasing drastically.
The impact of selected innovation trend on Google
Better Connectivity: Better connectivity is also one of the major reason that leads to the usage of the Artificial Intelligence in the framework of Google. In case of implementing Artificial Intelligence in the platform of Google this is one of the major advantage that is enjoyed by the users (Rauschnabel et al., 2015). This leads to the fact that the data management is processed with utmost efficiency and the entre processing helps in increasing the connectivity of individuals through the platform. In case of usage of Artificial Intelligence tracking of data of personnel’s can be done and this helps in getting in touch with the people who stay away.
This process also helps in maintaining the fact the telecommunication methodology is performed with utmost efficiency and the transaction data among the users of Google can be performed with high accuracy and least corruption (Davenport & Ronanki, 2018). Better signal catching ability of the server is also another advantage of implementing Artificial Intelligence in the Google platform.
Tracking of data: Tracking of data in a global base is one of the most important factors of implementing Artificial Intelligence in the field of Google. The fact that Google will be able to track data and take back up of the data ensures the fact. The data that are stored in the database can be accessed from any place in the world (Halme & Korpela, 2014). The data that are unstructured in nature are automatically aligned and the need of this auto alignment is that the data will be very much secured and in ace of losing the data it can be recovered and this is the major reason of using Artificial Intelligence in the field of Google.
Conclusion
From above study, it concludes that it is important for a business organization to focus on innovating ideas and strategy would be helpful to ensure strategic alignment and address trend of innovation. The project of Google demonstrate potentiality for adopting artificial intelligence in order to manage infrastructure as well as shows the process of advanced AI systems that can work collaboratively with the current trends as well as humans. The algorithm exploits a proper technique that is known as reinforcement learning.
In addition, the same approach leads to AlphaGo as well as DeepMind program that is vanquished the human players. On the other hand, consumption of energy by data centers become one of the pressing issues for the industry. It is required to enhance energy efficiency that becomes significant. On the other hand, it is required to use the machine learning approach in order to optimize behavior.
References
Charles Jr, O. H., Schmidheiny, S., & Watts, P. (2017). Walking the talk: The business case for sustainable development. Routledge.
Davenport, T. H., & Ronanki, R. (2018). Artificial Intelligence for the Real World. Harvard Business Review, 96(1), 108-116.
Dentchev, N., Baumgartner, R., Dieleman, H., Jóhannsdóttir, L., Jonker, J., Nyberg, T., … & van Hoof, B. (2016). Embracing the variety of sustainable business models: social entrepreneurship, corporate intrapreneurship, creativity, innovation, and other approaches to sustainability challenges. Journal of Cleaner Production.
Evans, S., Vladimirova, D., Holgado, M., Van Fossen, K., Yang, M., Silva, E. A., & Barlow, C. Y. (2017). Business model innovation for sustainability: Towards a unified perspective for creation of sustainable business models. Business Strategy and the Environment, 26(5), 597-608.
FiveFifty. (2018). Real-World Artificial Intelligence. McKinsey Quarterly.
França, C. L., Broman, G., Robèrt, K. H., Basile, G., & Trygg, L. (2017). An approach to business model innovation and design for strategic sustainable development. Journal of Cleaner Production, 140, 155-166.
Halme, M., & Korpela, M. (2014). Responsible innovation toward sustainable development in small and medium?sized enterprises: a resource perspective. Business Strategy and the Environment, 23(8), 547-566.
Hsu, C. L., Lin, Y. H., Chen, M. C., Chang, K. C., & Hsieh, A. Y. (2017). Investigating the determinants of e-book adoption. Program, 51(1), 2-16.
Joyce, A., & Paquin, R. L. (2016). The triple layered business model canvas: A tool to design more sustainable business models. Journal of Cleaner Production, 135, 1474-1486.
McKinseyGlobalInstitute. (2018). AI, automation, and the future of work: Ten things to solve for. McKinsey Quarterly.
Rauschnabel, P. A., Brem, A., & Ivens, B. S. (2015). Who will buy smart glasses? Empirical results of two pre-market-entry studies on the role of personality in individual awareness and intended adoption of Google Glass wearables. Computers in Human Behavior, 49, 635-647.
Schaltegger, S., Lüdeke-Freund, F., & Hansen, E. G. (2016). Business models for sustainability: A co-evolutionary analysis of sustainable entrepreneurship, innovation, and transformation. Organization & Environment, 29(3), 264-289.
Singla, A., Ahuja, I. P. S., & Sethi, A. P. S. (2017). The effects of demand pull strategies on sustainable development in manufacturing industries. International Journal of Innovations in Engineering and Technology, 8(2), 27-34.
Tukker, A., Charter, M., Vezzoli, C., Stø, E., & Andersen, M. M. (Eds.). (2017). System innovation for sustainability 1: Perspectives on radical changes to sustainable consumption and production. Routledge.
Weaver, P., Jansen, L., Van Grootveld, G., Van Spiegel, E., & Vergragt, P. (2017). Sustainable technology development. Routledge.
Order an Essay Now & Get These Features For Free:
Turnitin Report
Formatting
Title Page
Citation
Outline
