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A major tech tune-up at Camping World gives customers a smooth ride

CIO

Patnaik inherited a strong business model, dedicated team, and faithful customers, but due to a history of acquisitions, the systems architecture needed an overhaul. So she and her team developed a novel systems integration approach to improve near-term employee and customer experiences while building their future architecture.

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Automating product description generation with Amazon Bedrock

AWS Machine Learning - AI

The platform enables you to create managed agents for complex business tasks without the need for coding, such as booking travel, processing insurance claims, creating ad campaigns, and managing inventory. In his leisure time, he indulges in his love for travel and cherishes quality moments with his family.

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Making the Internet faster at Netflix

Hacker Earth Developers Blog

And for me, the big part of the success of growth was actually a step above the pure engineering architecture. It’s firstly rooted in the engineering culture because the first Netflix employees are great people. And really design the system end-to-end on both the backend and the front end, that of UI.

Internet 200
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Implementing the Netflix Media Database

Netflix Tech

In this post we will provide details of the NMDB system architecture beginning with the system requirements?—?these these will serve as the necessary motivation for the architectural choices we made. Elasticsearch (ES), a highly performant scalable document database implementation fitted our needs really well.

Media 94
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How to Successfully Implement HR Analytics and People Analytics in a Company

Altexsoft

Besides automating HR operations and providing wide analytical capabilities, HRM systems help in other areas of collaboration between employees and a company: “HRM systems help building unique company culture, maintain own communication style within the organization, and facilitate employee feedback. Tools for data integration.

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Grown-Up Lean

LeanEssays

I then make a sustained argument from the Linux experience for the proposition that “Given enough eyeballs, all bugs are shallow”, suggest productive analogies with other self-correcting systems of selfish agents, and conclude with some exploration of the implications of this insight for the future of software. That’s friction.