1.2.5 Driving Strategy Around Our Priority
Since technology will keep changing and growing, there is a need to establish strategies based on the organizational priorities that promote technological investments. The organization should have enough capital to focus on specific technological implementations. They should have money to run all the required processes to realize technological investments and goals. It is essential to identify employees who have the ideal skills to help the organization focus on a specific strategy and implement all the necessary processes. In many instances, lack of skills among the employees may negatively impact the organization's performance, which means that they cannot achieve the vision and mission set forth for achievement (Manyika et al. 2013). The technological achievements should be prioritized to achieve the most important goals within the shortest time possible.
1.2.6 Strategic Partnerships to be Pursued
The presence of digital transformation has prompted key decision‐makers in the IT industry to establish partnerships that are meant to develop solutions to various problems in businesses. While looking for solutions for various issues in the business world, alliances among the vendors are essential since it could help them establish the ideal solutions for different problems they encounter (Norton, Littmann, and Prabhu 2019). The majority of businesses seek partnerships from different vendors since they can easily increase enterprise organizations' performance. In the recent past, organizations have been forced to accelerate their digital innovations to integrate their vendor partnerships and effect an ideal transformation. Strategic partnerships enhance customer relations with the organization. Simultaneously, the executives mainly identify the opportunities for growth where they can define various joint ventures and alliances that are meant to propel them to success. In various business entities, leaders assert that 27% of their technology strategies and roadmaps are mainly driven by external events such as competition, changes in the market, and requests from their customers (Norton, Littmann, and Prabhu 2019).
Establishing alliances and partnerships is a key factor since it helps their customers despite competitive situations. Some of the partnerships established in the past include Citrix and Microsoft, and another instance is where Google and Salesforce launched partnerships (Deloitte 2015). These partnerships aim to enable the organizations to provide comprehensive solutions to various business and IT‐related challenges to the customers. The main attributes of these strategic partnerships include enhancing customer services and response time, a better understanding of business goals and objectives, support services after selling, the long‐term viability of the organizations, enhancing knowledge in the product portfolio, and creating an ideal insight and growing expertise in the technology (Afshar 2019). The presence of alliances and partnerships has been part of human life for many decades. Therefore, it is crucial to establish a strategic partnership in the business world since it could help an organization become innovative and create some of the best solutions.
There has been a tremendous growth of partnerships. They are driven by the benefits of sharing risks and pooling resources, technology convergence, and deconstruction of the industry where knowledge is diffused. Once these partnerships have been established, the partners can acquire new capabilities in their line of business. Thus, it is a win–win situation for both entities. These partnerships should pursue innovativeness; in this case, none of the partners should innovate alone. They should work together as a team and come up with solutions together. The partners involved should understand that none of them has a lock on user preferences since all consumers are moving targets (Deloitte 2015). Partnerships are meant to establish superior knowledge capital and an environment where there is a robust exchange of information to build long‐lasting solutions. As partners, organizations should provide a great experience to their customers and not value the exchange. They should also strike the ideal balance between scale and customization in the areas of their operations (Afshar 2019). Another essential strategy is that the involved organizations should treat these partnerships to achieve the intended outcomes.
1.3 AI‐Fueled Organizations
AI has experienced tremendous growth due to the numerous advantages it provides to different business entities. In today's world, organizations are implementing AI as they look forward to implementing machine learning capabilities over the existing frameworks of data management (Afshar 2019). Over the next few years, it is expected that the organization will move towards an autonomous intelligence where the majority of the procedures will be digitized and robotized to enhance performance. The majority of the organizations have been harnessing the full potential of AI, and they are exploring the enterprise opportunities presented by this form of technology (Tredinnick 2017). In the next few years, organizations are determined to ensure their move to an AI‐fueled environment. Thus, they need to rethink how people and machines interact within a working environment. AI is expected to change businesses, and, in this case, organizations will experience positive growth since the running costs are expected to decrease with time (Tredinnick 2017). Therefore, it is essential for management teams to consider machine learning and other necessary technological tools to enhance the core business processes and operations in different enterprises. Deployment of these specialized tools is expected to improve data‐driven decision‐making processes since it will offer a new contribution and strategic business models (Norton, Littmann, and Prabhu 2019).
In the coming years, organizations are expected to move towards autonomous intelligence, where various processes in the organization will be digitized and automated. As a result, machines, bots, and their systems will act directly upon the system's intelligence. The evolution of AI has undergone various processes (Indrasen 2017). The first stage was assisted intelligence, where humans comprehended the data and generated their insights. The second stage is augmented intelligence, where machine learning provides an augment based on human decisions. The third and the final stage is autonomous intelligence; it is the most advanced, and this is the level where AI decides and executes autonomously. Through AI, organizations have experienced tremendous growth since the management teams can positively impact the organization. Due to various business sectors' demands, organizations are looking beyond the discrete initiatives to implement AI since it has proven to be one of the essential strategies of enhancing business performance (Indrasen 2017). The majority of the organizations have been scanning their operations and implementing AI since the initiatives involved could benefit the entire organization.
In the next two decades, the number of businesses that will adapt to implement AI will increase significantly since they can use all the cognitive technologies to achieve and implement their strategic goals (Tredinnick 2017). It is essential to note that the role of AI in an organization is to develop vital cognitive tools and strategies that are meant to promote their performance. The use of AI has led to the deployment of various system models such as cloud‐native, a platform that will become one of the biggest operating systems, a packet‐adjunct model, and the open‐algorithm model, developed to meet specific needs in different business platforms (Harris 2011). In many organizations, it is essential to realize data management, which has led to a growth in AI‐fueled organizations. Therefore, it is ideal for establishing an environment that will promote dynamic data governance, storage, and architecture. AI will offer an environment where data is processed, analyzed, and acted upon at a high rate and speed. Even though organizations may consider deploying AI tools, there is a need for organizational and cultural changes. This means that employees should gather more skills to analyze, model, and develop skills to enhance