AI Today Podcast

Data is the heart of AI. So, therefore doing things associated with your data is going to be critical for AI projects. This includes Data Preparation, Data Cleaning, Data Splitting, Data Multiplication, and Data Transformation. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms above and explain why they are important for AI projects.Continue reading AI Today Podcast: AI Glossary Series – Data Preparation, Data Cleaning, Data Splitting, Data Multiplication, Data Transformation at Cognilytica.

For anyone who has used or interacted with an AI system you know that trust is required for AI systems if you want them to deliver any meaningful benefit. And once trust is lost, it’s almost impossible to gain back. Therefore, making Trustworthy, ethical & responsible AI a reality is not just a policy statement or a press release.Continue reading AI Today Podcast: Trustworthy AI Series: Why are trustworthy, ethical and responsible AI systems necessary? at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Robotic Process Automation (RPA), Attended bots, Unattended bots, Low Code, No Code, explain how these terms relate to AI and why it’s important to know about them.Show Notes:FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryAI Glossary Series – DevOps, Machine Learning Operations (ML Ops)AI Glossary Series – Automated Machine Learning (AutoML)AI Today Podcast: Roadmap Series: Getting Started on the Automation to Intelligence Journey AI Today Podcast Roadmap Series: From Automation to Intelligence – What should we automate and why AI Today Podcast: Automation to Intelligence Roadmap Series – What is a Business Process?Continue reading AI Today Podcast: AI Glossary Series – Robotic Process Automation (RPA), Attended bots, Unattended bots, Low Code, No Code at Cognilytica.

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:FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryAI Glossary Series – DevOps, Machine Learning Operations (ML Ops)AI Glossary Series – Automated Machine Learning (AutoML)AI Today Podcast: Roadmap Series: Getting Started on the Automation to Intelligence Journey AI Today Podcast Roadmap Series: From Automation to Intelligence – What should we automate and why AI Today Podcast: Automation to Intelligence Roadmap Series – What is a Business Process?Continue reading AI Today Podcast: AI Glossary Series – Automation, Robot, Robotics, Collaborative Robot (Cobot) at Cognilytica.

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 Connor Atchison who is the CEO of Wisedocs, a medical record review machine learning software for insurance carriers, healthcare providers, laws firms, and TPAs.Continue reading AI Today Podcast: How AI is Transforming Insurance, Interview with Connor Atchison, Wisedocs at Cognilytica.

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:FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryAI Glossary Series – Data Drift, Model Drift, Model RetrainingGlossary Series: (Artificial) Neural Networks, Node (Neuron), LayerGlossary Series – Machine Learning Development Languages: Python, R, Julia, ScalaContinue reading AI Today Podcast: AI Glossary Series – Data Science Notebooks, Jupyter, Colab at Cognilytica.

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 that previously required very specialized skills and talent.Continue reading AI Today Podcast: AI Glossary Series – Automated Machine Learning (AutoML) at Cognilytica.

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:FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryGlossary 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 NetworkAI Glossary Series – Machine Learning, Algorithm, ModelContinue reading AI Today Podcast: AI Glossary Series – Machine Learning Tools: Keras, PyTorch, Scikit Learn, TensorFlow, Apache Spark, Kaggle at Cognilytica.

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:FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryGlossary Series: (Artificial) Neural Networks, Node (Neuron), LayerGlossary Series: Hidden Layer, Deep LearningGlossary Series: Loss Function, Cost Function & Gradient DescentGlossary Series: Backpropagation, Learning Rate, OptimizerGlossary Series: Feed-Forward Neural NetworkAI Glossary Series – Machine Learning, Algorithm, ModelAI Glossary Series – Model Tuning and HyperparameterAI Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance TradeoffContinue reading AI Today Podcast: AI Glossary Series – Machine Learning Development Languages: Python, R, Julia, Scala at Cognilytica.

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:FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryAI Glossary Series – Data Drift, Model Drift, Model RetrainingGlossary Series: (Artificial) Neural Networks, Node (Neuron), LayerContinue reading AI Today Podcast: AI Glossary Series – DevOps, Machine Learning Operations (ML Ops) at Cognilytica.