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To understand the risks posed by AI, follow the money

O'Reilly on Data

Others retort that large language models (LLMs) have already reached the peak of their powers. These are risks stemming from misalignment between a company’s economic incentives to profit from its proprietary AI model in a particular way and society’s interests in how the AI model should be monetised and deployed.

Risk 221
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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

It first became obvious with social media: recommended posts and amplification of addictive, divisive content in order to keep users scrolling, creating additional surface area for advertising. Amazon was late to the party, but once it discovered advertising, it went all in. These companies did continue to innovate.

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Generative AI in Education: Visual Storytelling From Text – A Python Guide

Analytics Vidhya

Explore the extensive possibilities in design, art, and advertising as this comprehensive guide takes you step-by-step through using pre-trained models to craft striking visuals. […] The post Generative AI in Education: Visual Storytelling From Text – A Python Guide appeared first on Analytics Vidhya.

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Disney Advertising Sales’ Dana McGraw: Sharing data enhances its value

CIO Business Intelligence

In advertising, getting the right message to the right audience is easier said than done. For Dana McGraw, vice president of audience modeling and data science at Disney Advertising Sales, the key is data — and how it can be shared with advertisers to enhance its value without compromising privacy and anonymity.

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Selecting the Right AI Business Model for Your Startup

Smart Data Collective

However, it is important to make sure that you understand the potential role of AI and what business model to build around it. However, even the most brilliant idea built around AI technology can fail without a proper business model. Without a good business model, you won’t understand customer needs and how to build your startup.

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The Ultimate Guide to Mastering Seasonality and Boosting Business Results

KDnuggets

This post discusses the importance of media mix modeling and how it can be used to maximize the business impact of advertising. It also discusses the impact of seasonality on media advertising and how media mix modeling can be used to minimize the impact of seasonality on business outcomes.

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Why you should care about debugging machine learning models

O'Reilly on Data

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]