AI Today Podcast: AI Education Series: Best Practices & Methodologies for Successful AI Implementation

This podcast episode is part of our AI Education series and provides a snippet of Cognilytica’s AI and ML education from our Cognilytica Education Subscription. In this podcast we’re sharing a clip from our Best Practices & Methodologies for Successful AI Implementation course. Knowing best practices for implementing AI on a large scale is critical …

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AI Today Podcast #127: AI in Legal

The legal profession is largely the domain of humans. However, despite the very human nature of the legal profession, artificial intelligence is increasingly making waves in the industry, enhancing legal processes and activities in ways that are not possible with humans alone. In this podcast hosts Kathleen Walch and Ron Schmelzer discuss ways that AI …

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Quality Assurance (QA) in the Context of AI

AI operationalization is different than traditional deployment and putting things into “production”. But if it’s different for deployment and different in development, then it follows that AI projects are unlike traditional projects even with regards to QA. Simply put, you don’t QA AI projects like you QA other projects. This is because the concept of what we’re testing, how we test, and when we test is radically different in AI Projects.

Operationalizing AI

[Image source: Pixabay] This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here When AI practitioners talk about taking their machine learning models and deploying them into real-world environments, they don’t call it deployment. Instead the term that’s used in the industry is “operationalizing”. This might be …

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