South-End Tech Ltd
South-End Tech Ltd is a mid-size Managed Information Technology (IT) Services Partner, Cybersecurity Managed Services Provider (MSP), Data Protection as a Service (DPaaS) Provider, and Digital Consulting Company. The company is incorporated in Kenya under the Companies Act, 2015.
Analysis of Emerging Trends and Technologies
Emerging Trends and Technologies
It may be difficult to stay on top of the most recent developments in the field of information technology (IT), where change occurs at an accelerated rate. However, for companies and people who wish to stay on the cutting edge, it is important to comprehend these most recent technical advances in technology. New technologies, tools, software frameworks, and creative concepts abound in the dynamic realm of the information technology business. In the Microsoft corporation, two new trends and technologies are cloud computing and artificial intelligence (Wan, Yang, Wang, & Hua, 2018). A broad area of computer science called artificial intelligence focuses on creating intelligent machines that can learn and solve issues that need human intellect. The capacity to reason through decisions and execute actions that are intended to accomplish a certain objective is the optimum quality of these two trends.
Analyzing Trends
The History
Businesses are increasingly attempting to harness massive volumes of data, which has led to the rise of artificial intelligence and cloud computing. The two developments are linked to how businesses are examining both customer and operational data. They appear as the organization works to establish guidelines for their strategy. The two technological developments are brand-new and have just recently emerged. Businesses are eager to benefit from these propensities for swift movement and establish a presence in the emerging industry.
The Results
In addition to Microsoft, many other firms are adopting similar trends due to their numerous advantages. Companies can maintain the security of their data while analyzing already collected client information to identify patterns in customer preferences. By treating all parties equally, the trends have made it possible for corporations to achieve fairness in their processes (Wan, Yang, Wang, & Hua, 2018). Additionally, the trends are trustworthy and secure, and they are responsible for changing how businesses operate. It supports firms in achieving high levels of innovation and in starting new business ventures.
Greater flexibility, efficiency, and strategic insight than ever before are possible results of AI in cloud computing. The automation of common IT infrastructure activities with the use of artificial intelligence (AI) boosts productivity. When AI and cloud computing are joined, a huge network is created that can store and handle massive quantities of data while also learning and developing on its own (Gill et al., 2019). Given the advent of transformative technologies like the Internet of Things, artificial intelligence is already having an influence on the structure of modern cloud computing (IoT). When it comes to creating Cloud innovation, IoT and mobile capabilities grow as expansions to the current Cloud capabilities.
The Appeal
Cloud computing and artificial intelligence have been developed to assist many enterprises by enhancing their operations. In the modern world, requests are now a reality because of technologies like cloud computing and artificial intelligence. The company will become more effective and insight-driven as a result of all of these trends’ capabilities working together. They simplify and reduce the cost of data gathering, analysis, and storage for later use. Cloud systems are incorporating artificial intelligence to assist organize workloads.
Additional Insights
Tools for cloud computing and artificial intelligence are both essential for the growth of data management. These developments can better handle the enormous data repositories that businesses may now produce (Wan, Yang, Wang, & Hua, 2018). The trends’ accompanying tools may be utilized to speed up data administration and updating. They may also be utilized to pinpoint the company’s weak points, particularly in data handling. Artificial intelligence and cloud computing are combined as platforms with increased functionality to give more value.
Recommendations for Implementation
Strategies and Process Considerations
Organizations define what change entails aligning it to the business goals. This refers to an important step that helps one understand and determine the value of change so as to apply the required effort and input for change implementation (Gill et al., 2019). Determine the impacts done and those that are affected. Here one makes reviews of artificial intelligence and cloud computing to determine the possible impacts of the various changes in the organizational structure. Create a communication strategy- this entails developing an effective means of communication for the team members that will bring them abroad.
Give effective training – this is done to teach the team members knowledge and skills that are needed to efficiently operate in the cloud computing and artificial intelligence farms. Implement a structure that is supportive- this is essential to assist members in practically adjusting and getting used to change while building effective skills for archiving business results (Dey, Jain, & Nandi, 2019). Measure the change process to determine the effectiveness of the change process in the cloud computing and artificial intelligence trends. Evaluate your change management plan to determine how effective it is and document where necessary what you learn.
Change Management Challenges
Difficulties in managing the multiple teams working for change implementation. Artificial intelligence and cloud computing have quality systems with a lot of requirements that demand qualified personnel across the globe who can be difficult to manage. Differentiating the needs of many sites is also another challenge since cloud computing and artificial intelligence technologies operate across multiple sites. Failure to do this may lead to chaos if one is ill-equipped to run all his sites both separately and collaboratively at times (Wan, Yang, Wang, & Hua, 2018). Updating various documents to align with the changes as documents are always central to all processes.
Juggling parallel changes may also be regarded as a challenge as many changes in cloud computing have no clear indication of what these results are and what time can be allocated for each change. Lack of visibility inside the change process is also another challenge because if the change is not well planned, then the change will take time to happen throughout the organization (Gill et al., 2019).
Reversing an ineffective change in the firm is also another challenge that happens when implementing a new system. Not gaining quick and appropriate approvals is another challenge incurred as one works on wrapping up the project
Recommendations for Implementing Trends
Cloud computing and artificial intelligence within the firm can assist with several formulations. It is advised that the two trends be able to seek replacement ingredients, components, and materials inside the business as well as interchangeable parts (Dey, Jain, & Nandi, 2019). Prior to implementation, it is also important to take into account inventory-related factors including packaging, picking, and processing, all of which can be time-consuming. The trends should be able to handle large amounts of data and Information, both of which are essential for the organization’s inventory management.
Potential Issues or Risks of Implementation
The vast majority of organizations struggle to locate talent to use new technology. For new technologies like artificial intelligence, there is a severe talent shortage. The highest levels’ lack of innovation and risk-taking also hinders the uptake of new technologies. The problem is made worse by the dearth of programs that promote continuous learning and the scope of macro-level activities (Dey, Jain, & Nandi, 2019). Enterprises can fail to understand the latest technologies. The incapacity of businesses to utilize new technologies is a major roadblock. New technologies are not cheap; even with open-source software, the initial development expense may be costly. Expenses are increased by the indirect costs of training, interruption, and downtime.
Ownership difficulties are the root of resistance to change. The rank and file will oppose new technology if they don’t like it or feel that the sponsor is forcing it down their throats. End users must be empowered for technology deployment to be successful. When establishing materials handling systems, for example, a big warehouse depended on its crane operators to iron out the kinks (Dey, Jain, & Nandi, 2019). Customers resist technology. The majority of them are wary of new technologies. They dread losing their abilities or strength. Any modern technology needs a champion for innovation to support it. Opposition to these innovation champions is inevitably sparked by internal politics inside an organization. A logical and unavoidable complement to product champions is innovation assassins.
Risk Mitigation Strategies
Allocation of resources and having all the necessary requirements to adopt the two new trends in technology could help in mitigating the risks associated with the technological adoption. The top-level management in an organization is advised to recruit and train skills to have personnel who will assist in managing and using the systems otherwise the system implementations will fail (Dey, Jain, & Nandi, 2019). It is a requirement that after adopting the technologies, the organization should not sit back and relax since technology is dynamic and keeps on changing every day, therefore they are required to constantly check for the updates and ensure that they have the latest updates running within the organization.
The business is supposed to get into an agreement with these technology service providers to understand well the license user agreement and the ownership of the system. In most cases, the system cannot be owned by the company rather own the license alone something that can be renewed (Wan, Yang, Wang, & Hua, 2018). To prevent the interruptive nature of the technology, the organization is required to ensure that the technology is used for its specific purpose and not to overwhelm the system with a lot of operations that would deem it unfit for the business.
References
Dey, A., Jain, S., & Nandi, S. (2019). New method of POS based on artificial intelligence and cloud computing. 2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC).
Gill, S. S., Tuli, S., Xu, M., Singh, I., Singh, K. V., Lindsay, D., Inderpreet., Vijay, S., Karan., Tuli, S., Smirnova, D., Singh, M., Jain, U., Pervaiz, H., Sehgal, B., Singh, K., Sanjay, M., Mohammad, S., Aslanpour, Harshit, M., Vlado, S., & Garraghan, P. (2019). Transformative effects of IoT, blockchain and artificial intelligence on cloud computing: Evolution, vision, trends and open challenges. Internet of Things, 8.
Wan, J., Yang, J., Wang, Z., & Hua, Q. (2018). Artificial intelligence for cloud-assisted smart factory. IEEE Access, 6, 55419-55430.