Machine Learning
Deep Learning
“Deep learning” is a step beyond machine learning as a computer is able to learn from larger and more complex data sets. This will often entail going several levels deep. This is a closer attempt at mimicking the human brain. Use cases with deep learning may focus on maintaining grid stability through the management of grid edge devices.
AI is an overarching term for computers that mimic human behavior. Generative AI is a tool that can create content such as text, videos or images. Initial use cases would be to enhance member communications, summarize large technical reports and create computer code. The tool can often perform basic tasks, allowing staff more time to focus on strategic and creative direction. Learning how to create and construct the commands for AI to deliver optimal results is a skill set that is still being developed and may grow in importance.
Programs with the ability to learn and reason like humans
Artificial Intelligence
Algorithms with the ability to learn without being explicity programmed
Machine Learning
Subset of machine learning in which artificial neural networks adapt and learn from large datasets
Deep Learning
A cross-disciplinary field that seeks to extract meaningful insights from data
Data Science
Artificial Intelligence
Artificial Intelligence (AI)
Data Science
“Machine learning” is a term coined in 1959 to define a computer’s ability to learn and adapt without specific programming. Computers identify patterns in data models and algorithms. The larger the data set, in theory, the better computers will be at performing learning functions. These abilities can be part of a
self-healing grid by reconfiguring feeders automatically.
Machine Learning
Data scientists and analysts are roles that are growing within the electric cooperative network. With the deployment of tools such as AMI, geographic information systems, unmanned aerial vehicles, operations management systems, Supervisory Control and Data Acquisition, Intelligent Electronic Devices, sensors and others, cooperatives are collecting a vast amount of data. Data scientists and analysts are able to harness the disparate information streams into actionable business decisions. These staff positions work across departments using advanced features of AI.
Deep Learning
Data Science