Advancements in technology, artificial intelligence, machine learning and robotics are creating a workforce that needs to be increasingly more intelligent, aware and understanding of the progressions being made. How can a business professional ensure that they stay on top of the latest technologies in todays world?
Artificial intelligence continues to be both a polarizing and contentious issues within the overall global environment. For one artificial intelligence has been leverage by society to help improve a litany of products and services. These services include the ability to automate routine tasks associate with warehousing and other manual labor jobs. It has also been used as tool to help foster efficiencies within operations by helping to predict product demand or anticipate delivery delays. Artificial intelligence has now formed the foundation of innovations relates to autonomous driving, chatbots, and other innovations that help circumvent human interaction and improve operation efficiency. Each of these elements of predicated on innovations relates to algorithms, cloud computing and data analytics. Although power, many businesses are still experimenting on the methods required to help leverage this technology to help improve profitability and margins, while also enhancing their competitive position within the marketplace.
To stay on top of the latest technologies in todays world, business leaders must develop a culture predicated on change. Seemingly simple, developing and changing a culture can be a very daunting task. For one, leaders must be able to exhibit certain qualities necessary to develop corporate cultures and behaviors. For one, leaders must be able to articulate a vision that is both dynamic and compelling of those around them. A common example is Tesla and how they leverage artificial intelligence to drive both profitability and growth within the enterprise. The company leader, Elon Musk, is very dynamic in the way he is able to articulate his vision to others. In instances relates to electric vehicles, space travel, solar panels, and even traffic, Elon Musk has been able to differentiate himself from his peers. This is a particularly vital point for artificial intelligence, as it requires a vision in order to be implement properly. Tesla utilizes artificial intelligence through its internal sales processes. For example, the company skips the dealership entirely and sales products directly to consumer through its own sales channel. These sales occur as the company uses artificial intelligence as a means to pinpoint customers using sophisticated algorithms. These algorithms are able to segment customers based on various factors including social economic status, age, gender, and even their affinity for environmental issues. To stay on top of the latest trend of artificial intelligence, the company as a dedicates staff that is charges with evaluating developing technologies and how they can be used within the company in the future. All of these above characteristics are enabled through a culture predicated on change and innovation (Bacchus, 2020). Here, employees are empowered to leverage differing technologies to help further the ambitions of the company. Likewise, many business organizations are encouraged to try developing technologies even if they fail. Within Tesla, a failure is not punished but used as a means to help further improve operations and efficiencies within the organization. Through artificial intelligence, the firm is better able to position itself strategically relative to peers in the industry (Anderson, 2015).
Another example of a company using artificial intelligence is that of Alibaba. It too has a unique method of staying on top of the latest trends within the industry. Here, the company, much like Tesla, has a dedicated department looking at emerging technologies. Alibaba is unique in that it also has a capital markets group which seeks to maintain minority investments...
…Alibaba, Amazon, and Google, smaller individuals can also participate in the data revolution. For one, entrepreneurs and other business owners are much better positioned to compete with larger incumbents through artificial intelligence. Many small business organizations are developing products, goods, and services that rival those of the more mature and high capitalized business operators. This form of competition helps to benefit consumers and society at large as competitors continue to push the boundaries of technology. Continual education allows individuals to stay focused on the industry, learn how to leverage new technologies, and adapt existing processes for the revolution of artificial intelligence. Also, by creating and adapting new technologies to help foster growth of artificial intelligence, these professionals can better innovate with the current systems they operate in. These innovations have been detailed above, but consist broadly of applications relates to autonomous driving, robotics, and data analytics (Barrett, 2015). Overall, the combination of big data, data analytics and artificial intelligence all coalesce to keep business professionals abreast of the latest technologies. Here companies can ensure their professional are aware of the latest trends through corporate culture and vision. Here, a strong corporate culture around change management and innovation allows employees to stay focused on innovations occurring tin the industry. By being focused on these innovations, eployees are able to o ensure they are abreast of the latest technologies. Likewise, a renewed focus on continual education on the personal level allows employees to better recognize technological developments as they occur. This includes join trade and professional organizations centered around technology, attending and actively engaging in conferences, and taking leadership positions in technology centric organizations. Each of these initiatives allows a professional to ensure that they are focused on the transitions occurring in the market, while also being in a position to capitalize on…
References
1. Anderson, A. R., editor (2015). Minds and Machines. Prentice-Hall, Englewood Cliffs, New Jersey.
2. Bacchus, F., Grove, A., Halpern, J. Y., and Koller, D. (2020). From statistics to beliefs. In Proceedings of the Tenth National Conference on Artificial Intelligence (AAAI-92), pages 602-608, San Jose, California. AAAI Press3. Barr, A., Cohen, P. R., and Feigenbaum, E. A., editors (2019). The Handbook of Artificial Intelligence, volume 4. Addison-Wesley, Reading, Massachusetts.
4. Barrett, R., Ramsay, A., and Sloman, A. (2015). POP-11: A Practical Language for Artificial Intelligence. Ellis Horwood, Chichester, England.
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