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Prompting Isn’t The Most Important Skill

O'Reilly on Data

Anant Agarwal, an MIT professor and of the founders of the EdX educational platform, recently created a stir by saying that prompt engineering was the most important skill you could learn. Although I agree that designing good prompts for AI is an important skill, Agarwal overstates his case.

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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

What Is Economic Rent? When the local baron sent his troops to collect what he considered his share of the harvest, it was impossible to say no. In an unjust society, neither effort nor investment nor innovation but rents rooted in power asymmetries determine who gets what and why. But not all rents represent abuse of power.

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What LinkedIn learned leveraging LLMs for its billion users

CIO Business Intelligence

With more than 1 billion users globally, LinkedIn is continuously bumping against the limits of what is technically feasible in the enterprise today. Few companies operate at the scale that LinkedIn does or have access to similar troves of data. LLM was the new thing and it felt like it could solve everything,” Bottaro said. “We

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Threads Dev Interview 2: @alexanderbellgram

Data Science 101

You are welcome to follow along and let me know on Threads if you would like to be interviewed. “One example of the open ecosystem: making.NET Core cross-platform and open source was a huge win.” ” — alexanderbellgram Welcome @alexanderbellgram , what type of software development is currently occupying your time?

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Centralize Your Data Processes With a DataOps Process Hub

DataKitchen

The DataKitchen Platform is a “ process hub” that masters and optimizes those processes. The term process hub is new to most people, so let’s look at a concrete example of how a process hub is used in a real-world application. One data engineer called it the “last mile problem.” . My team is being too reactive.

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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

datapine

3) What Are the First Steps To Getting Started? Does data excite, inspire, or even amaze you? Does the idea of discovering patterns in large volumes of information make you want to roll up your sleeves and get to work? Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions.

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What you need to know about product management for AI

O'Reilly on Data

A PM for AI needs to do everything a traditional PM does, but they also need an operational understanding of machine learning software development along with a realistic view of its capabilities and limitations. We won’t go into the mathematics or engineering of modern machine learning here. Why AI software development is different.