Successful Innovation And Change Assignment Sample 2023
1. Identifying the business challenges that are solved from AI or Robotics. Conducting research work based on THREE solutions that become available in the global marketplace. Explaining on every solution then plotting into Todd & Bessant 4P’s Model-based of Innovation Space. Providing of rationale
There lies with various forms of business problems or challenges that have already solved by using on Artificial Intelligence (AI) that includes Human Resources, Product Assembly and Transportation. The one major business challenges or problems arise that can be solved through AI lies on “Handling and Reading Online Reviews“.
There lies with a countless form of online reviews present in sites for various persons that can be posted as their experiences. The reviews can be scattered in various form of sites by using different types of format. The challenges present with it based on un-structured reviews on text-based as well as nature on multilingual in various sectors become an as serious form of problems.
The presence of AI helps to tackle online reviews generated by the customers. This helps to deliver better services and conduct suitable business in all the sectors (Wagner and Furst, 2018).
The AI solutions providing leading areas in improvements in all the business sectors that help in formulating on advancement educations, healthcare improvement, robust form of accessibility tools, increase form of business productivity, developing of strong cybersecurity and competitiveness. The THREE major solutions that become available in the global marketplace can be followed as:
- Developing trust and confidence in the AI systems
The suitable form of advancement based on analytics in software data-enabled areas and AI can become major fuelling work and growth of economic conditions in the global market place. There lies with seeking that helps to maximise on societal and economic benefits that can recognize on raising form of awareness on how AI systems can able to operate (Kawaguchi et al. 2017).
This solution delivers in gaining of trust as well as develops confidence present in systems of AI. From the well-known Todd & Bessant 4P’s Model on Innovation Space provides the proper form of plotting on this solution based on AI. The Todd & Bessant 4P’s Model describes innovation based on four areas that include product, position, process and paradigm.
This solution based on trust and confidence in AI can be successfully plotted in the Process Innovation areas. In this process, innovation can be referred to with particular changes at the time of delivered and creating major things in AI. The systems present in AI delivers augment based on human intelligence. AI delivers helping people based on visions that lie with the presence of the impairment as physical surroundings.
This thing illustrates the process innovation delivered from Todd & Bessant 4P’s Model by providing a better form of services among customers and sectors. The presence of suitable confidence and trust make changes services present in the areas of Transportation, Human Resources and Product Assembly (Schroeder, 2019).
- Development of workforce
The development of the workforce requires a suitable form of technologies obtained from AI by making the creation of new changes based on skills that makes a demand on an existing job. There lies with suitable areas that can be based in promoting on the advance technology. There has been an increasing form of use on technology that can be successfully used based on skills regarding job growth.
The proper form of trends can able to become as major areas for using emerging technologies that help the growth of the workforce through AI. From the Todd & Bessant 4P’s Model, this solution can be plotted on Paradigm Innovation. This innovation model formulates on the suitable method that underlines on a frame that the firm can adapt from underlying changes.
There has been a wider form of changes that successfully taking place at the time of using the software at the time of creating solutions that enrich on lives. The economy can be changed at the time of considering on proper form of education to make successful changes through AI (Mehri and Tutschku, 2017).
iii. Privacy and cybersecurity protections
Privacy and cybersecurity deliver a vital form of protection based on solutions in AI. The connections through online deliver opportunity, creating risk and operations based on malicious operations that might affect many people across the world.
The proper form of addressing challenges delivers the digital form of economic conditions that can be required based on practices of Cybersecurity and defends tools in the ecosystem. The business delivers a better form of shared responsibility at the time of enhancing cybersecurity. In this case, of Todd & Bessant 4P’s Model, Product Innovation can be successfully plotted on this solution of AI.
This has been made due to the suitable form of changes based on innovation can be implemented. The presence of cybersecurity and privacy delivers a better form of protection through AI that makes growth business. The required form of innovative practices delivered in cybersecurity and proper tools in managing privacy on the computer systems. This change delivers a vital form of aspects upon which proper security can be introduced from the solution of AI (Schroeder, 2018).
Figure 1: Todd & Bessant 4P’s Model
(Source: Alsanad and Abdel-Razek, 2016)
2. Evaluating on THREE based solutions by using Coynes 3-Conditions to get details on the capabilities on every demonstrated solution Developing on Competency Tree for every solution that states on value created in end users
There are presences of THREE solutions that deliver proper comparing and contracting at the time of using Coynes 3-Conditions. The use of conditions assists to deliver as capabilities and competencies on the solutions demonstrating. The proper form of using Coynes 3 conditions helps to deliver a better form of areas. The THREE solutions that can be compared as:
| Solution 1 | Solution 2 | Solution 3 |
| From the solution to developing confidence and trust that can be used as capabilities based on empathy referred to as thought or feelings developed from Coyne-3Conditions (Sarpatwar et al. 2019). | From this solution on the workforce development can sometimes lie as congruence by developing a strong relationship with the staff members at the time if using the Coyne-3 Conditions. | From this solution on privacy and cybersecurity protections, unconditional form of positive regards that allows the maximum number of clients to develop open up areas at the time of speaking based on difficulties arise from the cybersecurity in Coyne 3-Conditions (Wodecki et al. 2019). |
| This area delivers capabilities and competencies on the particular areas where experiment can be successfully conducted on viewing in developing conditions based on AI. | This area helps to generate on the Coyne 3-Conditions by the presence of counsellor in congruence by defeating as negative attitudes based on conditions (Alsanad and Abdel-Razek, 2016). | This delivers a suitable form of capabilities and competencies from this particular solution. The suitable form of conditions can be illustrated properly from the areas of positive regards in unconditional areas (Ross, 2019). |
The major form of contrasting areas lies developing on trust as well as confidence through AI systems becomes enabled areas upon which suitable form of features can be received in the areas where people can gain on confidences areas. On the other hand of solution that illustrates on change in workflow, development creates a new technology that can able to transfer better solutions upon which better techniques can be introduced through the presence of AI and 3-Conditions.
The final solution formulates on protections based on privacy as well as cybersecurity by delivering new technology that helps to generate new areas to secure the systems easily. The presence of Coynes 3-Conditions makes the positive form of impacts upon which appropriate areas can be received based on three solutions of AI (Chen, 2017).
The suitable form of planning can be successfully developed from the Competency tree framework. The student and trainer can able to want delivers in a better form of guiding to get suitable areas on the information. The information delivers a form of framework delivered with learning. The presence of output delivers competency tree framework delivers a better form of surveys. The competency can be delivered as a suitable framework that can be used to adapt and modify areas.
The creation of competency tree or wheel delivers better solutions at the time that delivers as values on creation among end-users. From the first solutions on developing confidence and trust-based of AI systems that make trainer as well as students at the time of learning that delivers as major form areas in information generating as values among the end-users (FitzPatrick, 2017). This value can be successfully created from the presence of Competency Tree that delivers as suitable solutions based in the global market.
The values can be created in second a solution that delivers as workforce development presence of AI. This presence of values can be successfully created among end-users. The values can be successfully created through cybersecurity and privacy protections delivers high values among the end-users. These solutions can be successfully stated on values making a wider form of areas among end-users.
The protections among end-users help to deliver cybersecurity, development on workforce and developing on confidence among users through the presence of AI systems (Chattell, 2016).
Figure 2: Competency tree
(: Wodecki et al. 2019)
3. Discuss innovation can be linked with business success, focusing on business challenges identified previously providing new ideas based on AI, discuss changes of daily existence and using of models to showcase some predictions
The better form of thinking new ideas in business operations can be successfully introduced with the presence of innovations. The process of thinking new ideas becomes a major form of steps with a process that makes suitable areas on business by making greater task based on final services or products delivered among consumers.
At the time of trying to deliver innovative areas to make better success in business, the innovations deliver support in the business to enhance a better form of growth for gaining success.
The presence of open form innovation delivers effective areas based through open innovation in organizations at the time of using external as well as internal ideas at the time of advancement based on operations. The open innovation delivers a better form of use that becomes as inflow as well as outflow based on the knowledge that becomes accelerated through internal innovations (Haneda and Ito, 2018).
Previously identified problems lie with handling and reading online reviews provides a new form of creative ideas that can be based in future aspects of AI. On this particular issues, a suitable form of focusing on issues can successfully manage this challenge arise from handling as well as reading from online reviews. The creative ideas and develop new areas can be successfully generated from the AI at the time of enhancing technology.
The presence of appropriate techniques can be successfully delivered through AI. The new creative ideas can be generated that becomes as future based areas regarding the presence of AI (Direction, 2016). The presence of AI delivers less number of an error rate that becomes easily compared based on calculations on counterparts of human.
The suitable software in AI can able to delivers accuracy, speed and incredible form of precisions to carry out every work successfully. This helps to allow on proper areas that can be performed based on tasks, which becomes possible. At the time of thinking on 10 years ahead, there lies with suitable envision and predictions that can successfully arise in 2030 from AI lies with more advance technology.
This helps to tackle reviews generated from handling as well as the reading post of experiences. The presences of AI becomes a major form of trends in current as well as future aspects that deliver as a major expectation in future areas. The fields present in cybernetics can be successfully begun with the process of meld that becomes as artificial intelligence and new trends. The presence of cybernetics can able to help us in enhancing better technology based on AI.
The suitable supports received from Artificial Intelligence have made better areas that become indispensable based on households. The applications arise from AI can be fulfilled through promise enhanced with computer systems that make lives easier (Engelhardt et al. 2019).
There are presences of people that become as already using through AI-based on personal assistants. As an example, Amazon Alexa and Echo lies as currently dominated form of the market but becomes a competition by offering as virtual assistants. In the future aspects there arise with more AI having the presence of latest technology delivering suitable services across the world. In the year 2030, all the automation transportation can be converted as self-driving based areas through AI.
This becomes a wide vision on highway automated vehicles that becomes as full reality as science movie fictions.
The human relationships become the daily existing that can changes from AI in various areas. The daily activities based on human can be successfully changed through AI. The presence of social media, assistants in digital-based, parking vehicles, self-driving and email communication can be conducted as daily-based activities introduced through AI.
The presence of AI delivers easier areas for users that can be located as well as communicate with business associates and friends. From making any sorts of tweet recommendations can be successfully fighting with racist and inappropriate areas based on contents that make the better form of users experiences.
Twitter can be used as AI on scenes that become a major form of enhancement in products. The deeper form of learning can be introduced as a bigger form of portion with an unstructured form of datasets generated as datasets among 3 billion people.
Instagram delivers use on AI and big data at the time of targeting as fight and advertisement with cyberbullying as well as delete on an offensive form of comments. When the contents begin to grow, AI becomes critical by showing among users to enhance the better form of experiences (Vinuesa et al. 2020).
The using of certain models that can be used for chosen as a showcase with some predictions delivers with learning areas on AI. The major form of learning models in AI learning lies on classification based on the knowledge that becomes as deductive and inductive.
The inductive learning model of AI becomes as inferring areas based on general rule present as datasets in output-inputs pairs. The deductive learning process model delivers suitable areas on AI that begins with te series on rules as well as infers rules in new areas. There arise with another model on AI that formulates on classification based on feedback creating supervised, semi-supervised and unsupervised areas.
This model in the unsupervised model lies in focusing on the patterns of learning based on the input of data develops as external feedback. The clustering delivers a major example of unsupervised models in learning.
The supervised models in learning can be used as an external form of feedbacks used as learning the form of functions that can be mapped on output or input observations. This model becomes as external types if the environment that acts as major areas in the algorithms of AI (Engelhardt et al. 2019).
References
Alsanad, D.S. and Abdel-Razek, R., 2016. Mapping technological innovation: methodology and implementation. Review of Business & Finance Studies, 7(1), pp.59-68.
Chattell, A., 2016. Creating value in the digital era: Achieving success through insight, imagination and innovation. Springer.
Chen, L., 2017. The effects of stress, threat/challenge appraisal, and coping flexibility on emotion (Doctoral dissertation).
Direction, S., 2016. Creating value through innovation: how SMEs can compete. Strategic Direction, 31(9), pp.35-37.
Engelhardt, L., Mayer, S., Krois, C. and Maisch, B., 2019. Siemens Intrapreneurs Bootcamp: Purpose-Driven Innovation to Unleash People’s Potential for Impact-Based Business. In Rethinking Strategic Management (pp. 295-312). Springer, Cham.
FitzPatrick, E.R., 2017. Practice-based professional development for self-regulated strategy development: Teaching students with learning disabilities and other struggling writers to pen informational essays citing text-based evidence in an inclusive setting.
Haneda, S. and Ito, K., 2018. Organizational and human resource management and innovation: Which management practices are linked to product and/or process innovation?. Research Policy, 47(1), pp.194-208.
Kawaguchi, Y., Yamada, A. and Ozawa, S., 2017, November. AI Web-Contents Analyzer for Monitoring Underground Marketplace. In International Conference on Neural Information Processing (pp. 888-896). Springer, Cham.
Mehri, V. and Tutschku, K., 2017. Flexible privacy and high trust in the next generation internet: The use case of a cloud-based marketplace for AI. In SNCNW-Swedish National Computer Networking Workshop, Halmstad. Halmstad university.
Ross, R.J., 2019. Creating White Space: Interaction and the Adaptation of Team Social Identity in Complex Environments. NAVAL POSTGRADUATE SCHOOL MONTEREY CA MONTEREY United States.
Sarpatwar, K., Sitaramagiridharganesh Ganapavarapu, V., Shanmugam, K., Rahman, A. and Vaculin, R., 2019. Blockchain enabled AI marketplace: The price you pay for trust. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (pp. 0-0).
Schroeder, J., 2018. Marketplace Theory in the Age of AI Communicators. First Amend. L. Rev., 17, p.22.
Schroeder, J., 2019. Saving the Marketplace from Market Failure: Reorienting Marketplace Theory in the Era of AI Communications. Wm. & Mary Bill Rts. J., 28, p.689.
Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., Felländer, A., Langhans, S.D., Tegmark, M. and Nerini, F.F., 2020. The role of artificial intelligence in achieving the Sustainable Development Goals. Nature communications, 11(1), pp.1-10.
Wagner, D. and Furst, K., 2018. AI Supremacy: Winning in the Era of Machine Learning.
Wodecki, A., Wodecki and Harrison, 2019. Artificial Intelligence in Value Creation. Springer International Publishing.
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