AI Today Podcast: Are Legal Digital Assistants the future? Interview with Rick McFarland, Chief Data Officer at LexisNexis
AI Today Podcast30 Juni 2021

AI Today Podcast: Are Legal Digital Assistants the future? Interview with Rick McFarland, Chief Data Officer at LexisNexis

The legal profession is still largely dominated by humans. However, AI and ML is steadily being adopted, enhancing legal processes and activities of all sorts. In this episode of the AI Today podcast, Cognilytica analysts interview Rick McFarland, Chief Data Officer at LexisNexis. He shares with us some of the challenges with AI adoption in the legal profession as well as some of the opportunities he sees around domain specific AI-driven Q&A platforms. Continue reading AI Today Podcast: A...

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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 ...

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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, ...

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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 ...

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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,...

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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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