Work smarter, not harder

This week I learned a lot of fascinating information about AI. I learned about how to become an AI Engineer, some types of AI, and how AI accelerates business growth.

After learning about Generative AI, I ponder upon the means of how AI systems store massive amounts of data and the internal processes that run in order for the content results of AI to appear. In addition, after knowing how to become an AI Engineer, I wonder if there are a specific set of processes or tools I need to make insightful conclusions about data.

Some challenges I faced in my learning were finding articles that would add to my knowledge and filling in knowledge gaps. To overcome these challenges, I will try to explore how programs with AI embedded look like and read about more technical applications of AI in code.

This week I was successful in exploring some of the important sub elements of AI. Moreover, I am starting to gain more knowledge in this field and have expanded my interests on data and technology.

Next week, I want to focus my reading about the technical aspects and implications of AI.

Professionally, I want to focus on becoming a strategic decision maker and stay perseverant throughout my learning process.