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For your eyes only: improving Netflix video quality with neural networks

The Netflix TechBlog

Of course, we believe in the transformative potential of NN throughout video applications, beyond video downscaling. While conventional video codecs remain prevalent, NN-based video encoding tools are flourishing and closing the performance gap in terms of compression efficiency. How do we apply neural networks at scale efficiently?

Network 297
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Expanding Our Horizons - Efficiently

Edge Perspectives

In our Big Shift world, we confront the imperative of institutional innovation – shifting from institutional models built on scalable efficiency to institutional models built on scalable learning. I’ve written and spoken about this a lot over the years and one of the most common pushbacks I get is – “so, are you against efficiency?”

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What’s the hype with hyperscale?

Dynatrace

Increase operational efficiency : Hyperscale reduces the layers of control, making it easier to manage modern computer operations. Organizations, and teams within them, need to stay the course, leveraging multicloud platforms to meet the demand of users proactively and proficiently, as well as drive business growth.

Azure 264
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Dynatrace University: Over a decade redefining virtual learning for digital transformations

Dynatrace

The most successful organizations manage a skilled team that knows how to accelerate throughput and drive efficiency across their SDLC. For instance, traditional universities that had never offered virtual courses are now letting students learn remotely. Here, they needed a blended learning approach.

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Why business digital transformation is still a key C-level priority today

Dynatrace

AI and DevOps, of course The C suite is also betting on certain technology trends to drive the next chapter of digital transformation: artificial intelligence and DevOps. And of course, these goals overlap with the objectives of digital transformation, including product innovation, cost optimization, and risk mitigation.

C++ 193
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Sustainable IT: Optimize your hybrid-cloud carbon footprint

Dynatrace

Most approaches focus on improving Power Usage Effectiveness (PUE), a data center energy-efficiency measure. energy-efficient data centers—cloud providers—achieve values closer to 1.2. Of course, you need to balance these opportunities with the business goals of the applications served by these hosts. A PUE of 1.0

Cloud 217
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NoSQL Data Modeling Techniques

Highly Scalable

Of course, in many cases joins are inevitable and should be handled by an application. Of course, Atomic Aggregates as a data modeling technique is not a complete transactional solution, but if the store provides certain guaranties of atomicity, locks, or test-and-set instructions then Atomic Aggregates can be applicable.

Database 279