Remove Advertising Remove Optimization Remove Uncertainty
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How to Set AI Goals

O'Reilly on Data

Customer stakeholders are the people and companies that advertise on the platform, and are most concerned with ROI on their ad spend. Technical competence results in reduced risk and uncertainty. In the case of Twitter, the business stakeholder’s top goals are likely centered around profits and revenue growth.

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AWS growth slows further by persistent macroeconomic uncertainty

CIO Business Intelligence

“Starting back in the middle of the third quarter of 2022, we saw our year-over-year growth rates slow as enterprises of all sizes evaluated ways to optimize their cloud spending in response to the tough macroeconomic conditions,” Brian Olsavsky, chief financial officer at Amazon, said during an earnings call with analysts. “As

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The Impact Of AI On Cybersecurity: Are Humans Still Your Best Asset?

Smart Data Collective

Despite what some might try to sell you, solutions still require a certain level of security knowledge, expertise, and support to work as advertised. Artificial Intelligence: AI is advertised much like magical pixie dust. Uncertainties are a major roadblock in automating cybersecurity. Final Thoughts.

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AWS shifts focus to LLMs, generative AI as growth continues to taper

CIO Business Intelligence

The slowdown in growth, according to top executives of the company, can be attributed to enterprises optimizing cloud spend due to uncertain macroeconomic conditions. We are seeing these optimizations continue into the second quarter with April revenue growth rates about 500 basis points lower than what we saw in Q1,” Olsavsky added.

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Using random effects models in prediction problems

The Unofficial Google Data Science Blog

In the context of prediction problems, another benefit is that the models produce an estimate of the uncertainty in their predictions: the predictive posterior distribution. Column "a" is an advertiser id, "b" is a web site, and "c" is the 'interaction' of columns "a" and "b". $y$ y$ feature (a) feature (b) feature (c) $sigma^2$ 1.2

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Product Management for AI

Domino Data Lab

Google, Facebook, other leaders, they really have set up a culture of extreme measurement where every part of their product experience is instrumented to optimize clicks and drive user engagement. That’s not very useful for finding candidates for job matching, for all the other things you want to do, or for advertising.

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Misadventures in experiments for growth

The Unofficial Google Data Science Blog

To grow, we paid for a small amount of advertising and have a slow but steady stream of sales, say roughly 5,000 sales per day from about 100K impressions (5% conversion rate). So by optimizing short-term metrics such as sales volume we might have actually hurt our long-term growth potential.