Artificial intelligence (AI), machine learning (ML), autonomous systems, robotic process automation, chat bots, augmented and mixed reality and many other buzzwords are flying around water coolers and leadership team meetings across enterprises.

It signifies the interest and the potential benefits to the organizations or institutions (in the case of higher education) and how these technologies can be adopted successfully to gain an advantage in the already very competitive higher education business.

Related content: 4 ways AI is impacting higher education

Part of AI is what is called unconscious AI. What does this really mean, and what are the different perspectives of unconscious AI?

Different AI approaches

To explore unconscious AI, we first must understand what AI is and what different approaches are taken by technology providers and consumers to make AI effective and useful in daily life. While there are many different definitions and explanations about artificial intelligence, it is broadly regarded as the capability of a machine to imitate human intelligence. When evolving AI through neural networks, expert systems, robotic automations, autonomous systems and applications and many other technical tooling, we can observe three main types of AI and ML technology options adopted by the modern enterprise.

About the Author:

Keith Rajecki is the vice president, global public sector, education and research industry solutions at Oracle.


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