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Data logs: The latest evolution in Meta’s access tools

Engineering at Meta

Here we explore initial system designs we considered, an overview of the current architecture, and some important principles Meta takes into account in making data accessible and easy to understand. Users have a variety of tools they can use to manage and access their information on Meta platforms. feature on Facebook.

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Klarna’s AI chatbot: how revolutionary is it, really?

The Pragmatic Engineer

But in the longer term, as more companies adopt these technologies, we believe society needs to consider the impact. The below article was originally published in The Pragmatic Engineer , on 29 February 2024. I am re-publishing it 6 months later as a free-to-read article. Klarna is going all-in on AI: more specifically, on OpenAI.

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Data Integrity for AI: What’s Old is New Again

Precisely

These are all big questions about the accessibility, quality, and governance of data being used by AI solutions today. Disclaimer: Throughout this post, I discuss a variety of complex technologies but avoid trying to explain how these technologies work. Can AIs responses be trusted? Can it do it without bias?

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Redefining AIOps IT Workflows with Legacy System Visibility

Precisely

As technology continues its rapid ongoing evolution, IT environments have become increasingly complex which leaves businesses needing to adapt at unprecedented speeds. Key Takeaways: Centralized visibility of data is key. Predictive of AIOps capabilities will revolutionize IT operations.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in. It integrates these digital solutions into everyday workflows, turning raw data into actionable insights.

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New Year, New Approaches to Tackling IT Operations Management

Precisely

For IT operations (ITOps) teams, 2025 means reassessing technology stacks, processes, and people. What to do with all the technology? Examples of datasets include privileged users, access to failures, and customer data. Success in tackling modernization of IT operations management starts with assessing where your team is.

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Find Out About The Technology Behind The Latest PFAD In Analytical Database Development

Data Engineering Podcast

What are some of the other tools/technologies that can benefit from some or all of the pieces of the FDAP stack? Contact Info LinkedIn pauldix on GitHub Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening!

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.