AI continues to impact and enhance every industry. From better nutrition, better sleep, practicing mindfulness and meditation, to improved insights on one’s overall health AI is having a big impact on fitness and wellness. In this episode of AI Today hosts Kathleen Walch and Ron Schemzler share AI’s impact on the fitness and wellness industry.

Continue reading AI Use Case Series: AI in Fitness and Wellness [AI Today Podcast] at Cognilytica.

AI is being used in many industries and sports is no exception. AI is being applied to enhance all areas of sports from the athlete to the fan, the coach to the referee, and even in judging athletic competition. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss how AI is being applied in professional sports.

Continue reading AI Use Case Series: How AI is being Applied in Sports [AI Today Podcast] at Cognilytica.

AI projects aren’t dying because of big problems. Rather it’s the small things that are causing projects to fail. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss what iteration really means for AI projects.

Continuous Model Iteration

We always say that AI projects are never set it and forget it.

Continue reading What Iteration Really Means with AI [AI Today Podcast] at Cognilytica.

It’s one thing for us to talk about the Cognitive Project Management for AI (CPMAI) Methodology and the benefits it can bring to managers running AI and advanced data projects, but hearing directly how individuals are learning from and are applying the CPMAI Methodology can be incredibly valuable. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Chuck LaBarre, who is Chief Information Officer at ENI and is also CPMAI certified.

Continue reading AI Today Podcast: Applying CPMAI in the Real World – Interview with Chuck LaBarre, ENI at Cognilytica.

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.

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.

Move Fast and Break Things worked for high flying Silicon Valley startup megatech companies but it doesn’t work for AI projects. Between 70%-80% of AI projects are failing to meet their objectives. With stats like this, it’s clear that breaking things isn’t leading to success in AI. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer dig into this topic.

Continue reading Why “Move Fast and Break Things” Doesn’t Work for AI [AI Today Podcast] 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 course
• CPMAI Training and Certification
• AI Glossary
• 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
• AI Glossary Series – Machine Learning, Algorithm, Model

Continue 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 course
• CPMAI Training and Certification
• AI Glossary
• Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer
• 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
• AI Glossary Series – Machine Learning, Algorithm, Model
• AI Glossary Series – Model Tuning and Hyperparameter
• AI Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff

Continue 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 course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – Data Drift, Model Drift, Model Retraining
• Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer

Continue reading AI Today Podcast: AI Glossary Series – DevOps, Machine Learning Operations (ML Ops) at Cognilytica.

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 Retraining.

Continue reading AI Today Podcast: AI Glossary Series – Data Drift, Model Drift, Model Retraining at Cognilytica.

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:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• 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
• AI Today Podcast: AI Glossary Series – Batch Prediction, Microservice, Real-time Prediction, Stream Learning, Cold-Path Analytics, Hot-Path Analytics

This episode is sponsored by Algolia:

Algolia Powers Discovery.

Continue reading AI Today Podcast: AI Glossary Series – Cloud ML, On-Premise, Edge Device, Machine Learning -as-a-Service (MLaaS) at Cognilytica.

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:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• 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
• AI Glossary Series – Model Tuning and Hyperparameter
• AI Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff
• AI Glossary Series: Operationalization
• Interview with Alex Measure, BLS

This episode is sponsored by Algolia:

Algolia Powers Discovery.

Continue reading AI Today Podcast: AI Glossary Series – Batch Prediction, Microservice, Real-time Prediction, Stream Learning, Cold-Path Analytics, Hot-Path Analytics at Cognilytica.

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 course
• CPMAI Training and Certification
• 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
• For more information on visit Algolia website
• FREE CPMAI Intro Course
• 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 Cognilytica.

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:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• AI Glossary

• For more information on visit Algolia website
• 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 – Digital Transformation, Return on Investment (ROI), Key Performance Indicator (KPI) at Cognilytica.

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.

Continue reading AI Today Podcast: Revolutionizing AI-Driven E-commerce Strategy, Interview with Sean Mullaney, Algolia at Cognilytica.

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:

• FREE Intro to CPMAI mini course
• CPMAI Training and Certification
• 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
• AI Glossary Series – Model Tuning and Hyperparameter
• AI Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff
• Glossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary

Continue reading AI Today Podcast: AI Glossary Series – Confusion Matrix, Accuracy, Precision, F1, Recall, Sensitivity, Specificity, Receiver-Operating Characteristic (ROC) Curve at Cognilytica.

One of the most vexing problems in even today’s highly capable intelligence systems is for systems to actually understand what they are generating as output. Repeating a pattern, even a sophisticated pattern, while showing good knowledge of the pattern, doesn’t really help if the system doesn’t really understand what it is generating.  In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss this DIKUW pyramid and why the “U” understanding level is a critical, but often left out, layer of the pyramid.

Continue reading The Necessary (and often Missing) “U” in the DIKUW Pyramid [AI Today Podcast] at Cognilytica.

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?

Continue reading AI Today Podcast: AI Glossary Series – Model Validation, Validation Data, Test Data, and Cross-Validation at Cognilytica.

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 how to apply AI and data using hands-on approaches and the latest technologies?

Continue reading AI Today Podcast: AI Glossary Series – Model Tuning and Hyperparameter at Cognilytica.

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 intelligence, machine learning, or big data concepts?

Continue reading AI Today Podcast: AI Glossary Series – OpenAI, GPT, DALL-E, Stable Diffusion at Cognilytica.

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 hosts Kathleen Walch and Ron Schmelzer interview Dmitry Shapiro who is CEO of YouAi.

Continue reading AI Today Podcast: Digitizing the Mind: Interview with Dmitry Shapiro, YouAi at Cognilytica.

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 and why it’s important to know about them.

Continue reading AI Today Podcast – AI Glossary Series: Transformer Networks at Cognilytica.

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 apply AI and data using hands-on approaches and the latest technologies?

Continue reading AI Today Podcast: AI Glossary Series – Boltzmann Machine at Cognilytica.

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?

Continue reading AI Today Podcast: AI Glossary Series – Encoder-Decoder, AutoEncoder, and Generative Adversarial Network (GAN) at Cognilytica.

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 how to apply AI and data using hands-on approaches and the latest technologies?

Continue reading AI Today Podcast: AI Glossary Series – Convolutional Neural Network (CNN) at Cognilytica.

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 data concepts?

Continue reading AI Today Podcast: AI Glossary Series – Recurrent Neural Networks (RNN) and Long-Short Term Memory (LSTM) at Cognilytica.

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 why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Feed-Forward Neural Network at Cognilytica.

Soft skills are increasingly becoming important for AI, and in particular Generative AI. Collaboration can accelerate learning, creativity, and innovation. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss the critical skill of collaboration.

Why Collaboration skills are needed for AI

In this episode we discuss why collaboration skills are important to improve your interaction with AI systems.

Continue reading Soft Skills for AI: Why Collaboration is Key for AI Success [AI Today Podcast] at Cognilytica.

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 and Ron Schmelzer define the terms “Ground Truth” Data and Synthetic Data, explain how these terms relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – “Ground Truth” Data and Synthetic Data at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Pre-Trained Model and Transfer Learning, 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?

Continue reading AI Today Podcast: AI Glossary Series – Pre-Trained Model and Transfer Learning at Cognilytica.

As AI applications become more complex and data-intensive, the need for scalable and efficient storage solutions becomes increasingly important. AI models require vast amounts of data to be processed, and as the size and complexity of these models continue to grow, so does the need for more storage. Storage considerations are critical for both the training and the deployment of AI models.

Continue reading AI Today Podcast: Why Data Storage Matters When it Comes to AI: Interview with Justin Emerson, Pure Storage at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms CPU, GPU, TPU, and Federated Learning, 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?

Continue reading AI Today Podcast: AI Glossary Series – CPU, GPU, TPU, and Federated Learning at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Tokenization and Vectorization, explain how these terms relates 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 apply AI and data using hands-on approaches and the latest technologies?

Continue reading AI Today Podcast: AI Glossary Series – Tokenization and Vectorization at Cognilytica.

In order for machine learning systems to work they need to be trained on data. But as the old saying goes “garbage in is garbage out” so you need to make sure you have a dataset of prepared data that is cleaned so you can incrementally train a machine learning model to perform a particular task.

Continue reading AI Today Podcast: AI Glossary Series – Training Data, Epoch, Batch, Learning Curve at Cognilytica.

Backpropagation was one of the innovations by Geoff Hinton that made deep learning networks a practical reality. But have you ever heard of that term before and know what it is at a high level? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Backpropagation, Learning Rate, and Optimizer, explain how these terms relates to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Backpropagation, Learning Rate, and Optimizer at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Loss Function, Cost Function and Gradient Descent, explain how these terms relates 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
• Glossary Series: Artificial Intelligence
• Glossary Series: Artificial General Intelligence (AGI), Strong AI, Weak AI, Narrow AI
• Glossary Series: Heuristic & Brute-force Search
• AI Glossary Series – Machine Learning, Algorithm, Model
• 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

Continue reading AI Today Podcast: AI Glossary Series – Loss Function, Cost Function and Gradient Descent at Cognilytica.

Deep Learning is powering this current wave of AI interest. But do you really know what Deep Learning is? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms hidden layer and deep learning, explain how these terms relates to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series- Hidden Layer and Deep Learning at Cognilytica.

The Perceptron was the first artificial neuron. The theory of the perceptron was first published in 1943 by McCulloch & Pitts, and then developed in 1958 by Rosenblatt. So yes, this was developed in the early days of AI. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Perceptron and explain how the term relates to AI and why it’s important to know about it.

Continue reading AI Today Podcast: AI Glossary Series – Perceptron at Cognilytica.

AI is being adopted by many organizations and they are seeing dramatic improvement, increased productivity, and cost savings. However, government at all levels, including local governments, are also seeing dramatic improvements when adopting AI. On this episode of AI Today we interview Roxy Ndebumadu. She is the District 4 Councilmember at Bowie, MD City Council.

Continue reading AI in Local Government: Interview with Roxy Ndebumadu [AI Today Podcast] at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Bias, Weight, Activation Function, Convergence, and ReLU and explain how they 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 – Machine Learning, Algorithm, Model
• Glossary Series: Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning
• Glossary Series: Dimension, Curse of Dimensionality, Dimensionality Reduction
• Glossary Series: Feature, Feature Engineering
• Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer

Continue reading AI Today Podcast: AI Glossary Series – Bias, Weight, Activation Function, Convergence, and ReLU at Cognilytica.

If we can replicate neurons and how they are connected, can we replicate the behavior of our brains? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms (Artificial) Neural Networks, Node, and layer, and explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – (Artificial) Neural Networks, Node (Neuron), Layer at Cognilytica.

For a number of reasons, it can be important to reduce the number of variables or identified features in input training data so as to make training machine learning models faster and more accurate. But what are the techniques for doing this? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Feature Reduction, Principal Component Analysis (PCA), and t-SNE, explain how they relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Feature Reduction, Principal Component Analysis (PCA), and t-SNE at Cognilytica.