Jim Highsmith on Reimagining Agility in an AI World
AI Today Podcast27 Aug 2025

Jim Highsmith on Reimagining Agility in an AI World

In this special episode of AI Today, recorded live at Agile2025, hosts Kathleen Walch and Avinash Dhanraj sit down with Agile Manifesto co-author and Agile pioneer Jim Highsmith to explore the intersection of AI and agility in the enterprise. This episode kicks off the AI Today Agile & AI mini-series, focusing on how organizations can stay adaptive in an era of rapid technological change. Jim shares insights from decades of leadership at the forefront of agile, what it means to “man...

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

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

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 ...

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AI Today Podcast: AI Glossary Series – Feed-Forward Neural Network

AI Today Podcast: AI Glossary Series – Feed-Forward Neural Network

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 ...

17 Maj 20239min

AI Today Podcast: AI Glossary Series – “Ground Truth” Data and Synthetic Data

AI Today Podcast: AI Glossary Series – “Ground Truth” Data and Synthetic Data

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, ...

12 Maj 20239min

AI Today Podcast: AI Glossary Series – Pre-Trained Model and Transfer Learning

AI Today Podcast: AI Glossary Series – Pre-Trained Model and Transfer Learning

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 ...

10 Maj 20238min

AI Today Podcast: Why Data Storage Matters When it Comes to AI: Interview with Justin Emerson, Pure Storage

AI Today Podcast: Why Data Storage Matters When it Comes to AI: Interview with Justin Emerson, Pure Storage

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,...

8 Maj 202330min

AI Today Podcast: AI Glossary Series – CPU, GPU, TPU, and Federated Learning

AI Today Podcast: AI Glossary Series – CPU, GPU, TPU, and Federated Learning

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 kn...

5 Maj 202311min

AI Today Podcast: AI Glossary Series – Tokenization and Vectorization

AI Today Podcast: AI Glossary Series – Tokenization and Vectorization

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 abo...

3 Maj 202311min

AI Today Podcast: AI Glossary Series – Training Data, Epoch, Batch, Learning Curve

AI Today Podcast: AI Glossary Series – Training Data, Epoch, Batch, Learning Curve

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 ...

28 Apr 202311min

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