In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Operationalization, explain how this term relates to AI and why it’s important to know about them.
Show Notes:

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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
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Glossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech Recognition
Glossary Series: Tokenization, Vectorization

This episode is sponsored by Algolia:
Algolia Powers Discovery.
Continue reading AI Today Podcast: AI Glossary Series – Operationalization at AI & Data Today.