In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Automation, Robot, Robotics, Collaborative Robot (Cobot), explain how these terms relate to AI and why it’s important to know about them. Show Notes:
AI is proving transformational in every industry, including long established industries, and insurance is no exception. AI is able to optimize underwriting processes, enable more personalized insurance offerings, enhance the overall customer experience, as well as help with process improvements. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview …
In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Data Science Notebooks, Jupyter, Colab, explain how these terms relate to AI and why it’s important to know about them. Show Notes:
Many organizations want to do AI, but the technical skills needed can present a challenge. Not all organizations have data scientists on hand. Yet, many organizations still want to benefits of AI. In recent years there have been tools and platforms created to help automate many of the aspects of building and developing ML models …
AI Today Podcast: AI Glossary Series – Automated Machine Learning (AutoML) Read More »
In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Machine Learning Tools: Keras, PyTorch, Scikit Learn, TensorFlow, Apache Spark, Kaggle, explain how these terms relate to AI and why it’s important to know about them. Show Notes:
In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Machine Learning Development Languages: Python, R, Julia, Scala, explain how these terms relate to AI and why it’s important to know about them. Show Notes:
In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms DevOps, Machine Learning Operations (ML Ops), explain how these terms relate to AI and why it’s important to know about them. Show Notes:
Data is the heart of AI. Which is why having good, clean data is so critical. But what happens when your data changes of over? What does that do to your models? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss the terms Data Drift, Model Drift, and Model …
AI Today Podcast: AI Glossary Series – Data Drift, Model Drift, Model Retraining Read More »
In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Cloud ML, On-Premise, Edge Device, Machine Learning -as-a-Service (MLaaS), explain how these terms relates to AI and why it’s important to know about them. Show Notes: This episode is sponsored by Algolia: Algolia Powers Discovery. We provide the …
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: This episode is sponsored by Algolia: Algolia Powers Discovery. …
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: This episode is sponsored by Algolia: Algolia Powers Discovery. We provide the world’s only end-to-end AI search and discovery platform. …
AI Today Podcast: AI Glossary Series – Operationalization Read More »
In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Digital Transformation, Return on Investment (ROI), and Key Performance Indicator (KPI), explain how these terms relate to AI and why it’s important to know about them. Show Notes: This episode is sponsored by Algolia: Algolia Powers Discovery. We …
In this episode of the AI Today Podcast hosts Kathleen Walch and Ron Schmelzer get to talk to Sean Mullaney who is the Chief Technology Officer (CTO) at Algolia. We discuss how AI is revolutionizing e-commerce. Sean shares how vectorization is being used to enhance the relevance and personalization of search results for e-commerce businesses. …
In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Confusion Matrix, Accuracy, Precision, F1, Recall, Sensitivity, Specificity, Receiver-Operating Characteristic (ROC) Curve, explain how these terms relate to AI and why it’s important to know about them. Show Notes:
In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Model Validation, Validation Data, Test Data, Cross-Validation, explain how these terms relate to AI and why it’s important to know about them. Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts? …
In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Model Tuning and Hyperparameter, explain how these terms relate to AI and why it’s important to know about them. Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts? Want to learn …
AI Today Podcast: AI Glossary Series – Model Tuning and Hyperparameter Read More »
In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss and define at a high level the terms OpenAI, GPT, DALL-E, and Stable Diffusion, and share why you should know these terms and how they relate to the overall AI landscape. Want to dive deeper into an understanding of artificial …
AI Today Podcast: AI Glossary Series – OpenAI, GPT, DALL-E, Stable Diffusion Read More »
Large Language Models (LLMs) are all the rage these days. It’s hard to have a conversation about AI without ChatGPT, Google Bard, or LLMs being brought up. However, what if these LLMs could learn more about you individually and provide a much more hyperpersonalized experience and responses?! In this episode of the AI Today podcast …
AI Today Podcast: Digitizing the Mind: Interview with Dmitry Shapiro, YouAi Read More »
Transformer models have proven to be especially powerful for Natural Language Processing applications and image generation, and have been popularized by models such as GPT-3, Stable diffusion, and BERT. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Transformer Networks, explain how these terms relate to AI …
AI Today Podcast – AI Glossary Series: Transformer Networks Read More »
In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Boltzmann Machine, explain how these terms relate to AI and why it’s important to know about them. Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts? Want to learn how to …
AI Today Podcast: AI Glossary Series – Boltzmann Machine Read More »
In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Decoder, AutoEncoder, Generative Adversarial Network (GAN), explain how these terms relate to AI and why it’s important to know about them. Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts? Want …
In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Convolutional Neural Network (CNN), explain how these terms relate to AI and why it’s important to know about them. Want to dive deeper into an understanding of artificial intelligence, machine learning, or big data concepts? Want to learn …
AI Today Podcast: AI Glossary Series – Convolutional Neural Network (CNN) Read More »
In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Recurrent Neural Networks (RNN) and Long-Short Term Memory (LSTM), explain how these terms relate to AI and why it’s important to know about them. Want to dive deeper into an understanding of artificial intelligence, machine learning, or big …
Usually used as a simple example for how deep learning neural networks work, a feed-forward neural network is the most basic, “vanilla” general kind of neural network. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Feed-Forward Neural Network, explain how these terms relate to AI and …
AI Today Podcast: AI Glossary Series – Feed-Forward Neural Network Read More »
In order for machine learning systems to work, they need to be trained on data. But there are different types of data and depending on the situation you may want to use one type of data over another, or a combination of different types. In this episode of the AI Today podcast hosts Kathleen Walch …
AI Today Podcast: AI Glossary Series – “Ground Truth” Data and Synthetic Data Read More »
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