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This week in AI: Amazon ‘enhances’ reviews with AI while Snap’s goes rogue

TechCrunch

This week in AI, Amazon announced that it’ll begin tapping generative AI to “enhance” product reviews. Once it rolls out, the feature will provide a short paragraph of text on the product detail page that highlights the product capabilities and customer sentiment mentioned across the reviews. Could AI summarize those?

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LLMs Demand Observability-Driven Development

Honeycomb

Our industry is in the early days of an explosion in software using LLMs, as well as (separately, but relatedly) a revolution in how engineers write and run code, thanks to generative AI. In theory , all software is debuggable. There is a much longer list of things that make software less than 100% debuggable in practice.

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Insights from your JIRA data to help improve your team

Xebia

Many teams are using Atlassian’s JIRA as an issue tracker, which then becomes a valuable source of information for their daily operations. As a team leader utilizing JIRA, you probably have employed JIRA dashboards to monitor the status of work, usually in context of a (release) planning. “won’t fix”).

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Rebranding IT for the modernized IT mission

CIO

A 1958 Harvard Business Review article coined the term information technology, focusing their definition on rapidly processing large amounts of information, using statistical and mathematical methods in decision-making, and simulating higher order thinking through applications.

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Writing Useful Performance Reviews: Evaluating the data and writing the review

Puppies, Flowers, Rainbows and Kittens

This article is the second in a four-part series on writing performance reviews. In this article, I talk about filling out the review form. The final post covers delivering the review. Before you begin to write your review, make sure you have the role and level definition for the person’s current role and level.

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8 data strategy mistakes to avoid

CIO

The proper use of unstructured data will become of increasing importance to IT leaders,” says Kevin Miller, CTO of enterprise software developer IFS. “It When different departments, business units, or groups keep data stored in systems not available to others, it diminishes the value of the data.

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Prioritizing AI? Don’t shortchange IT fundamentals

CIO

Data due diligence Generative AI especially has particular implications for data security, Mann says. Feed in your entire Slack or Teams history and you may end up with responses like, “I’ll work on that tomorrow,” which would be perfectly appropriate from human employees but aren’t what you expect from a gen AI system.