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Jeff Kofman, Founder & CEO of Trint – Interview Series

Unite.AI

I innocently asked: why can’t I use automated speech-to-text to transcribe my interviews. Automated transcription is a discrete problem. It took a lot of explaining to get them to understand how a reporter works. I remember one of the guys asking me: why would you want to do that? That’s what StoryTech is about.

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The Ethics of AI: How Can We Ensure its Responsible Use?

Becoming Human

Transparency and Explainability One of the key ethical considerations surrounding AI is transparency and explainability. To address these concerns, it is essential to ensure that AI systems are transparent and explainable. This lack of transparency can lead to concerns about bias, discrimination, and fairness.

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How to Automate the Generation of Training Data for Conversational Bots

Bitext

To Automate the Generation of Training Data for Conversational Bots, We combine our Natural Language Generation solution to automatically expand a sample sentence into hundreds of variations while using our Slot generation technology the sentence is automatically tagged with the relevant intents and entities. The bot development process.

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Bringing MMM to 21st Century with Machine Learning and Automation?

DataRobot Blog

Historically, this analysis was applied to traditional offline media channels: TV, radio, print (magazines, newspaper), out-of-home (billboards and posters), etc. Media data (usually weekly): media costs, media ratings generated (TVRs, magazine copies, digital impressions, likes, shares, etc.), Breakthrough #2: Shapley Value.

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Unlocking the Power of AI with Implemented Machine Learning Ops Projects

Becoming Human

Machine learning operations, or MLOps, are the set of practices and tools that aim to streamline and automate the machine learning lifecycle. It is a discipline that seeks to automate the various stages of the machine learning lifecycle, from data acquisition and cleaning to model training, deployment, and monitoring.

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Ethical Considerations in AI Consulting: Ensuring Responsible and Inclusive AI Solutions

Becoming Human

In an era dominated by rapid technological progress, organizations across diverse industries are turning to AI consultants as indispensable guides in navigating the intricacies of machine learning and automation. Transparency and Explainability Transparency in AI systems is crucial for building trust among users and stakeholders.

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We can learn from the past in AI/Medicine

Ehud Reiter

This blog is motivated by a letter which I sent to the Economist news magazine, in response to a survey they published on AI/Medicine (this is my second letter about AI which they have published recently). Obviously a letter is very short, so I thought I’d expand on the topic in a blog.

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