Generative AI, ChatGPT, Bedrock, and the list goes on…
Over the past months, it seems that everyone is speaking about Artificial Intelligence (AI) and Machine Learning (ML). But what really is it? What can it do? What are the dangers? How can it be used for good? In this article, you will find possible answers to these questions and hopefully some helpful ways that AI/ML can benefit you.
What is AI and ML?
In many cases, AI and ML are used synonymously. The truth is that although they tend to work together in many ways, they are two different uses and technologies. AI is the aspect that a device or software could replicate a human capability. This could be accomplished through information that is gathered through data collected, such as known languages. An example of AI software would be text to speech translation. Within technology, AI can be used to complete data analysis or recognize a threat on a device and shut that device down.
Machine learning, ML, is considered a subset of AI. ML has the capability to replicate human tasks through training algorithms on data at a much faster rate than possible by humans. ML is trained with data to understand typical versus non-typical activity. The information and knowledge that ML gains can then be used to initiate other AI interactions and provide analysis of data.
What can it do?
As stated in the previous section, AI can replicate human activities through robotics and language translation. Personal assistants, such as Amazon Echo, has AI software built in to interact with you to perform an activity, like turning on lights or providing the weather forecast. You probably interact with something utilizing AI daily, including a customer service chat bot.
ML models can be trained to support decision making through mathematical data analytics. The ability of ML and the high-performance computers that are utilized, can evaluate peta-bytes of data and find the data that is seen to be an outlier from the primary datasets.
