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Generative AI in the Healthcare Industry Needs a Dose of Explainability

Unite.AI

Increasingly though, large datasets and the muddled pathways by which AI models generate their outputs are obscuring the explainability that hospitals and healthcare providers require to trace and prevent potential inaccuracies. In this context, explainability refers to the ability to understand any given LLM’s logic pathways.

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Navigating Privacy Concerns: The ChatGPT User Chat Titles Leak Explained

Analytics Vidhya

This blog post will delve into the incident, its implications, and the essential steps required to ensure user privacy and trust in the age of AI. […] The post Navigating Privacy Concerns: The ChatGPT User Chat Titles Leak Explained appeared first on Analytics Vidhya.

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Fantasy Football trades: How IBM Granite foundation models drive personalized explainability for millions

IBM Journey to AI blog

Fantasy football team owners are faced with complex decisions and an ocean of information. For the last 8 years, IBM has worked closely with ESPN to infuse its fantasy football experience with insights that help fantasy owners of all skill levels make more informed decisions.

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Adam Asquini, Director Information Management & Data Analytics at KPMG – Interview Series

Unite.AI

Adam Asquini is a Director of Information Management & Data Analytics at KPMG in Edmonton. He's former Gartner and MIT, and it's a really good book to explain a monetization framework for data. We've seen significant work in consolidating supply contracts by just being able to better search and query and find information.

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How to Package and Price Embedded Analytics

This framework explains how application enhancements can extend your product offerings. Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? Brought to you by Logi Analytics.

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AI for Universal Audio Understanding: Qwen-Audio Explained

AssemblyAI

  This problem is harder for audio because audio data is far more information-dense than text. A joint audio-language model trained on suitably expansive datasets of audio and text could learn more universal representations to transfer robustly across both modalities. 

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Understanding DENSE_RANK in SQL

Analytics Vidhya

Introduction When working with databases and analyzing data, ranking records is very important for organizing information based on certain conditions. This guide explains what `DENSE_RANK()` is, how it operates, and when to use it effectively […] The post Understanding DENSE_RANK in SQL appeared first on Analytics Vidhya.