Kathleen Walch and Ron Schmelzer discuss the definitions of data, dataset, big data, and the DIKUW Pyramid, and how these concepts relate to AI. They emphasize the importance of analyzing data to gain insights and the challenges of big data. They also explain the progression from basic data to wisdom in the DIKUW Pyramid, and the importance of putting data into practice using the CPMAI methodology.

Chuck LaBarre, an expert in applying CPMAI methodology, discusses the benefits of the methodology in real-world scenarios. Topics include enhancing employee well-being, challenges in conversational AI and personalized medicine, trustworthy AI, use of LLMs, and the future of education.

Data is critical to making AI and machine learning work. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Data Augmentation, Data Labeling, Bounding box, Sensor fusion. Data Augmentation are the techniques used to enhance existing data through the use of additional data, manipulations on existing data, or combinations of data in various ways. Continue reading AI Today Podcast: AI Glossary Series – Data Augmentation, Data Labeling, Bounding box, Sensor fusion at Cognilytica.

AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Additionally you need to understand that Trustworthy AI is a spectrum that addresses various aspects relating to societal, systemic, and technical areas. Continue reading AI Today Podcast: Trustworthy AI Series: The Layers of Trustworthy AI at Cognilytica.

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 course CPMAI Training and Certification AI Glossary AI 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 course CPMAI Training and Certification AI Glossary AI 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 course CPMAI Training and Certification AI Glossary AI Glossary Series – Data Drift, Model Drift, Model Retraining Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer Glossary Series – Machine Learning Development Languages: Python, R, Julia, Scala Continue reading AI Today Podcast: AI Glossary Series – Data Science Notebooks, Jupyter, Colab at Cognilytica.