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IBM's Digital Transformation: Innovation & Strategy Case Study by Native Assignment Help
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IBM is a multinational company headquartered in the UK that optimizes, develops and produces software, hardware and other devices. This organization is using Digital technologies and focuses on the development of AI that is ‘Artificial learning, machine learning and cloud computing’ that is ‘Artificial learning, machine learning and cloud computing,etc.’.IBM is using AI that is ‘Artificial learning, machine learning and cloud computing’ services in a variety of ways. IBM's flagship AI is ‘Artificial learning, machine learning and cloud computing’ platform, which offers a range of services such as natural language processing, machine learning, and computer vision. A tool for building conversational interfaces, such as chatbots, that can be integrated into websites and mobile apps. A platform for data scientists and developers to build, test, and deploy AI that is ‘Artificial learning, machine learning and cloud computing’ models. A tool for creating and managing custom machine learning models. A service that uses computer vision to analyze images and videos.
Figure 1: The digital business imperative
IBM's organizational vision, leadership, culture, and teamwork can be exploited to drive growth and success for the company. The vision can be used to set clear goals and direction for the organization, while strong leadership can ensure that these goals are met (Bensberg et al. 2019). The culture at IBM can be leveraged to promote innovation and collaboration among employees, and teamwork can be used to effectively execute strategies and achieve results. Additionally, these elements can be used to attract and retain top talent, build strong partnerships, and improve overall performance and competitiveness.
IBM has been at the forefront of many digital innovations, some examples such as IBM watson, IBM cloud, IBM blockchain, IoT, AI and advanced analytics, cybersecurity and automation
These are the few examples of ‘disruptive digital innovation’ that IBM is currently working on, they are continuing to explore the new areas of innovation and technologies to meet the ever-changing needs of the clients or customers.
There are several sources of digital innovation, including:
All these sources can be leveraged to drive digital innovation, and organizations may use a combination of these methods to achieve their goals. It's important to note that innovation is a continuous process and requires ongoing experimentation and experimentation to stay ahead of the curve.
There are several ways that IBM organizations can foster and develop an environment and culture of disruptive innovation, including:
Encouraging collaboration and cross-functional teams
Encourage employees from different departments and backgrounds to collaborate and work together on projects (Crupi et al. 2020). This can be done through programs such as cross-functional teams, mentorship programs, and community building activities.
Figure 2: Digital transformation
IBM's digital transformation includes several different types, such as:
IBM's business strategy plays a crucial role in applying digital transformation within the organization. The company has a focus on leveraging its expertise in technology to drive innovation and improve business outcomes (Hartley et al. 2019) . This includes investing in research and development to stay at the forefront of emerging technologies, as well as building partnerships with other companies to share knowledge and expertise. Additionally, IBM's strategy emphasizes the importance of data-driven decision making, which is crucial for identifying and implementing digital transformation opportunities.
The business strategy of IBM for digital transformation focuses on helping organizations modernize their technology infrastructure and adopt new digital technologies to improve their operations, increase efficiency, and better serve their customers (Kiron et al. 2019). This includes utilizing cloud computing, artificial intelligence, analytics, block chain, and other technologies to drive innovation and growth. IBM also offers a range of consulting and professional services to assist organizations in planning and implementing their digital transformation initiatives. Additionally, IBM's partnership with other companies and organizations helps to provide clients with access to a wide range of digital solutions and expertise.
IBM approaches digital innovation in an organizational context through a combination of internal development and external partnerships. The company has a strong focus on research and development and invests heavily in emerging technologies such as artificial intelligence and block chain. Additionally, IBM actively partners with other companies, startups, and academic institutions to stay at the forefront of digital innovation (K? et al. 2019). The success of these efforts is measured through a combination of financial performance metrics and customer feedback, with the ultimate goal of driving business growth through digital innovation.
IBM is known for its disruptive digital innovations in various fields such as artificial intelligence, cloud computing, and block chain technology. The company's approach to developing, embedding, and measuring these innovations in an organizational context is centered around its focus on innovation and research. IBM has a dedicated research division, IBM Research, which conducts cutting-edge research in various fields and develops new technologies that can be commercialized (Llopis-Albert et al. 2021). The company also has a strong emphasis on collaboration and partnerships, both within the company and with external organizations, to develop and implement new technologies. Additionally, IBM has a robust process for measuring the impact and success of its digital innovations, which includes tracking key performance indicators and gathering feedback from customers and stakeholders
Figure 3: Strategies of digital transformation
Strategies of digital transformation | Description | Advantages | Disadvantages |
Patents | Patents provide exclusive rights to an inventor for a certain period of time in exchange for publicly disclosing the invention | Legal protection for the invention and the ability to license or sell the patent. | The cost and time required to obtain a patent and the difficulty of enforcing a patent. |
Copyrights | Copyrights provide exclusive rights to creators of original works, such as literature, music, and software. | The ability to control the distribution and use of the work, and the ability to license or sell the copyright | The difficulty of enforcing a copyright and the potential for copyright infringement. |
Trade Secrets | Trade secrets are confidential information that provides a business an advantage over competitors. |
The ability to protect proprietary information without the cost and time required for patents or copyrights. | The difficulty of protecting trade secrets and the potential for trade secret misappropriation. |
Nondisclosure Agreements | Nondisclosure agreements are legal contracts in which a party agrees not to disclose confidential information. | The ability to protect proprietary information and the flexibility in terms of what information is protected. | The difficulty of enforcing NDAs and the potential for breaches of contract. |
Encryption | Encryption is the process of encoding information to make it unreadable to anyone except those with the correct decryption key. | Protecting data from unauthorized access and the ability to securely transmit data over networks. | The potential for encryption keys to be stolen or lost and the complexity of implementing encryption. |
Firewall | Firewall is a network security system that monitors and controls incoming and outgoing network traffic based on predetermined security rules and policies. | The ability to protect against unauthorized access and the ability to control network access. | The complexity of configuring firewalls and the potential for firewall breaches. |
Access control | Access controls are security measures that restrict access to a system or network to authorized users. | The ability to control who can access sensitive information and the ability to track and audit user activity. | The potential for access controls to be bypassed or circumvented and the complexity of managing access controls. |
Systems | Functions |
Knowledge management systems | These systems help organizations store, organize, and share knowledge within the company (Maadani et al. 2019). |
Employee retention programs | Employee retention programs can include training and development programs, mentoring, and recognition programs, which help to keep valuable employees within the organization. |
Non-disclosure agreements | NDAs can be used to protect confidential information and trade secrets (Massaro et al. 2021). |
Document management | DMSs can be used to store, organize, and share documents and information within the organization. |
Intranet and collaboration tools | Intranet systems and tools such as Microsoft Teams, Google Workspace, or Slack can help employees communicate and collaborate effectively (Pînzaru et al. 2022). |
Data backup and disaster recovery | Backing up important data and having a disaster recovery plan in place can help organizations protect their knowledge and intellectual property in the event of a data loss. |
Cybersecurity measures | Organizations can use various cybersecurity measures such as firewalls, encryption, and intrusion detection systems to protect their intellectual property from cyber threats. |
The evaluation of different tools in the organization context of the business environment involves analyzing data and research to determine the effectiveness and efficiency of the tools in question. This includes considering factors such as the specific business goals and objectives, the target audience, the competition, and the overall market conditions (Magistretti et al. 2019). It is important to gather and analyze data from multiple sources and to consider both quantitative and qualitative measures of performance (Tabrizi et al. 2019). The evaluation should also take into account any potential risks and limitations of the tools being considered. Ultimately, the goal is to make informed decisions that will support the success of the business.
On Each Order!
IBM has undergone a significant transformation of digital in recent years, with a focus on leveraging advanced technologies such as AI, cloud computing, and block chain to drive innovation and improve its products and services. This organization has invested heavily in AI research and development, resulting in the creation of the IBM Watson platform, which offers a range of AI-powered tools and services for businesses and developers. IBM has also been at the forefront of cloud computing, offering a range of cloud-based services such as IBM Cloud and IBM Cloud Private, which allow businesses to easily access and utilize advanced technologies such as AI, big data, and block chain. In addition, the company has been a leader in the development of block chain technology, with its IBM Block chain platform being used by a wide range of industries for everything from supply chain management to financial services. In addition to these technological advancements.
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IBM has also undergone a significant organizational transformation to better align itself with the needs of its customers and the rapidly evolving technology landscape. This has included the formation of new business units focused on areas such as cloud, AI, and block chain, as well as the acquisition of a number of technology companies to expand its capabilities in these areas. Overall, IBM's digital transformation has been focused on positioning the company as a leader in the development and implementation of advanced technologies and providing its customers with the tools and services they need to drive innovation and growth in the digital age.
A service that can translate text between multiple languages. ‘Watson Speech to Text and Text to Speech: Services that can convert speech and text between multiple languages’. A tool for monitoring, explaining, and managing AI that is ‘Artificial learning, machine learning and cloud computing’ models. Watson Natural. A service that can extract insights from text, including entities, sentiments, categories, and more. A service that can be used to search and extract insights from unstructured data like documents, images, and audio files. IBM AI that is ‘Artificial learning, machine learning and cloud computing’ services are used by many industries to improve their operations and to gain new insights from their data.
Conclusion
As per the above discussions, IBM is the multinational company that develops, optimizes and produces hardware, software and other devices. This organization is focused on the development of AI services that are machine learning, artificial learning, and cloud computing, etc. Due to the intrinsic characteristics, AL (Artificial intelligence) is considered the technology which is used for general-purpose. As per the above research or study this field concentrated on the classification and recognition of the technology of the general purpose. AI is creating value in the digital world. The organization of IBM has several digital technologies such as IBM Watson, IBM cloud, IBM block chain, IoT, AI and advanced analytics, cybersecurity and automation. The development and research of the IBM organization is the creating process that develops products, services and technologies through scientific experiment and study. AI (Artificial intelligence) service develops computer vision for analyzing images and videos. This service can translate three texts between multiple languages. ‘Watson Speech to Text and Text to Speech: Services that can convert speech and text between multiple languages’. A tool for managing, exploring. AI that is ‘Artificial learning, machine learning and cloud computing’ models. A service of Watson Natural can extract insights from text, including entities, sentiments, categories, and more
References
Journals
Bensberg, F., Buscher, G. and Czarnecki, C., 2019. Digital transformation and IT topics in the consulting industry: A labor market perspective. In Advances in consulting research (pp. 341-357). Springer, Cham.
Bin, M. and Hui, G., 2021. A systematic review of factors influencing digital transformation of SMEs. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(11), pp.1673-1686.
Brock, J.K.U. and Von Wangenheim, F., 2019. Demystifying AI: What digital transformation leaders can teach you about realistic artificial intelligence. California Management Review, 61(4), pp.110-134.
Colli, M., Cavalieri, S., Cimini, C., Madsen, O. and Vejrum Wæhrens, B., 2020, January. Digital transformation strategies for achieving operational excellence: a cross-country evaluation. In Proceedings of the 53rd Hawaii International Conference on System Sciences.
Crupi, A., Del Sarto, N., Di Minin, A., Gregori, G.L., Lepore, D., Marinelli, L. and Spigarelli, F., 2020. The digital transformation of SMEs–a new knowledge broker called the digital innovation hub. Journal of knowledge management.
George, G. and Schillebeeckx, S.J., 2022. Digital transformation, sustainability, and purpose in the multinational enterprise. Journal of World Business, 57(3), p.101326.
Gurbaxani, V. and Dunkle, D., 2019. Gearing up for successful digital transformation. MIS Quarterly Executive, 18(3).
Hartley, J.L. and Sawaya, W.J., 2019. Tortoise, not the hare: Digital transformation of supply chain business processes. Business Horizons, 62(6), pp.707-715.
Kiron, D. and Spindel, B., 2019. Rebooting work for a digital era. MIT Sloan Management Review, pp.0_1-10.
K?, A., Fehér, P. and Szabó, Z., 2019. Digital Transformation–A Hungarian Overview. Economic and Business Review, 21(3), p.3.
Llopis-Albert, C., Rubio, F. and Valero, F., 2021. Impact of digital transformation on the automotive industry. Technological forecasting and social change, 162, p.120343.
Maadani, M., Shabro, M. and Alavikia, Z., 2019, December. Analysis of demand-side business opportunities in Iran, as a digital transformation perspective. In 2019 international power system conference (PSC) (pp. 46-51). IEEE.
Magistretti, S., Dell’Era, C. and Petruzzelli, A.M., 2019. How intelligent is Watson? Enabling digital transformation through artificial intelligence. Business Horizons, 62(6), pp.819-829.
Massaro, M., 2021. Digital transformation in the healthcare sector through blockchain technology. Insights from academic research and business developments. Technovation, p.102386.
Pînzaru, F., Dima, A.M., Zbuchea, A. and Vere?, Z., 2022. Adopting Sustainability and Digital Transformation in Business in Romania: A Multifaceted Approach in the Context of the Just Transition. Amfiteatru Econ, 24, pp.28-45.
Tabrizi, B., Lam, E., Girard, K. and Irvin, V., 2019. Digital transformation is not about technology. Harvard business review, 13(March), pp.1-6.
Ulas, D., 2019. Digital transformation process and SMEs. Procedia Computer Science, 158, pp.662-671.
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