In Episode 65 of the Enterprise AI Minute, Aaron highlights the wide variety of skills and roles needed to continue pushing the limits of AI in business.
Highlights
00:01 — Aaron turns the spotlight toward who creates the AI in today’s technology and which skills are required to advance AI forward.
01:10 — What types of AI roles are needed to stay competitive in the tech landscape? Understanding today’s popular programming languages (like Python, Java, C++, and R) and common frameworks is a start.
02:25 — Math, statistics, machine learning, deep learning, and neural networks are all contributing areas to the general study and advancement of AI.
03:06 — Natural Language Processing (NLP) and computer vision dictate how computers interpret images and information. Data science and analysis allow computers to make sense of massive amounts of data and make it meaningful.
04:27 — AI usage will continue to expand and take on new forms. Some scientists are already experimenting with storing data within DNA.
05:06 — More roles will likely surface to help business leaders and CXOs understand AI output, which can lead to further advance the technology.
