Week 6 – MBA 6601 – Becoming Adept with AI

 


(OpenAI, 2024)

To become adept with AI, you need to take steps to get there. The first step is adapting, which involves reading articles and books about AI. However, this is a habit that people will need to develop. It is important to read about current trends in AI and other things that interest you, as it could lead to taking certain actions. For example, you can find a certain topic and want to look further into it. As you become more interested in AI or other things, you may start to realize that you can adopt what you are reading into your personal or work life. AI can be used to automate routine tasks, if you are a manager, you can think about introducing the company you work for to adopt AI. This will allow the company to assign new work to its employees that will be more productive for them and the organization. The final step is to be adept with AI or things you are interested in.

To be adept with AI and other things you are interested in, you need to learn the skills and tools to become adept. To learn AI, Kelsey (2018) suggests learning the roots of artificial intelligence and learning the core skills needed to use/develop AI (p. 121). Fortunately, there are many free sources that an individual can use. You can use Coursera, DataCamp, and Khan Academy or watch YouTube videos of experts, such as Andrew Ng to learn more about AI (p. 126-133). I have always wanted to learn coding and I have used a YouTube channel called freeCodeCamp.org that provides free videos to learn Phyton coding. The great thing about these free sources is that they allow individuals to gain core skills for AI and what is needed to be a data scientist. Kelsey (2018) suggests acquiring the following skills and knowledge on programming, quantitative analysis, product intuition, communication, teamwork, data science algorithms, experimental design, machine learning, deep learning, R, tableau, and Phyton (p142-143). These will give you a great foundation of knowledge about AI and how it works.

Let’s slow down a bit, there is a lot to learn about AI and skills to master. As I mentioned earlier, we should begin reading about artificial intelligence and what it is capable of doing. Once you find a topic interesting and want to get involved with it, it would be best to start with learning the core skills and knowledge first. From there an individual can search for videos or use any of the free sources to learn about the topic and the skills needed. Coursera is a great place to learn about AI, DataCamp is a great place to learn about Data scientists, and Khan Academy is a great place to learn about math and programming (Kelsey, 2018, p. 132-133). If you are not great with math or if it has been a while since you used math, Khan Academy is a great source to re-learn math concepts or you can purchase books that will teach you how to do algebra. Of course, this does need to be applied to AI only. This can be used within your career, so you can learn new skills and methods to solve current problems facing in your field of profession. It is important to read about what is going on in the business world and your field, so you pivot your career and be ahead of everyone else. This will provide you with the opportunity to be marketable and find a new job. However, this is only possible if you take steps to learn the new skills. On a side note, it would be wise to read up on AI, as it will enter many different industries and can help you become more efficient with your work.

Reference:

Kelsey, T. (2018). Surfing the tsunami. Todd Kelsey.

OpenAI. (2024). Individual coding in a modern office [AI-generated image]. DALL·E.

 

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