In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Batch Prediction, Microservice, Real-time Prediction, Stream Learning, Cold-Path Analytics, and Hot-Path Analytics, explain how these terms relate to AI and why it’s important to know about them.
Show Notes:

FREE Intro to CPMAI mini course
CPMAI Training and Certification
AI Glossary
Glossary Series: Training Data, Epoch, Batch, Learning Curve
Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer
Glossary Series: Bias, Weight, Activation Function, Convergence, ReLU
Glossary Series: Perceptron
Glossary Series: Hidden Layer, Deep Learning
Glossary Series: Loss Function, Cost Function & Gradient Descent
Glossary Series: Backpropagation, Learning Rate, Optimizer
Glossary Series: Feed-Forward Neural Network
Glossary Series: OpenAI, GPT, DALL-E, Stable Diffusion
Glossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech Recognition
AI Glossary Series – Machine Learning, Algorithm, Model
AI Glossary Series – Model Tuning and Hyperparameter
AI Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff
AI Glossary Series: Operationalization
Interview with Alex Measure, BLS

This episode is sponsored by Algolia:
Algolia Powers Discovery.
Continue reading AI Today Podcast: AI Glossary Series – Batch Prediction, Microservice, Real-time Prediction, Stream Learning, Cold-Path Analytics, Hot-Path Analytics at AI & Data Today.