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:FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryGlossary Series: Training Data, Epoch, Batch, Learning CurveGlossary Series: (Artificial) Neural Networks, Node (Neuron), LayerGlossary Series: Bias, Weight, Activation Function, Convergence, ReLUGlossary Series: PerceptronGlossary Series: Hidden Layer, Deep LearningGlossary Series: Loss Function, Cost Function & Gradient DescentGlossary Series: Backpropagation, Learning Rate, OptimizerGlossary Series: Feed-Forward Neural NetworkGlossary Series: OpenAI, GPT, DALL-E, Stable DiffusionGlossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech RecognitionAI Glossary Series – Machine Learning, Algorithm, ModelFor more information on visit Algolia websiteFREE CPMAI Intro Course Glossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech RecognitionGlossary Series: Tokenization, VectorizationThis episode is sponsored by Algolia: Algolia Powers Discovery.Continue reading AI Today Podcast: AI Glossary Series – Operationalization at Cognilytica.

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“What did the council decide on item 42?” — answered with the speaker and the moment.

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