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Bringing an AI Product to Market

O'Reilly Media - Ideas

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 145
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Supporting Diverse ML Systems at Netflix

Netflix Tech

The user can choose the most suitable tool for manipulating data, such as Pandas or Polars to use a dataframe API, or one of our internal C++ libraries for various high-performance operations. Thanks to Arrow, data can be accessed through these libraries in a zero-copy fashion.

System 90
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Netflix at AWS re:Invent 2019

Netflix Tech

In this session, we discuss the technologies used to run a global streaming company, growing at scale, billions of metrics, benefits of chaos in production, and how culture affects your velocity and uptime. We explore all the systems necessary to make and stream content from Netflix.

AWS 40
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Netflix at AWS re:Invent 2019

Netflix Tech

In this session, we discuss the technologies used to run a global streaming company, growing at scale, billions of metrics, benefits of chaos in production, and how culture affects your velocity and uptime. We explore all the systems necessary to make and stream content from Netflix.

AWS 40
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Procurement Analytics: Challenges, Opportunities, and Implementation Approaches

Altexsoft

Consider applying this approach if you work in a less stable environment, e.g., automotive market, fashion, or food products. Procurement metrics and KPIs. We’ll describe the most essential metrics, but the list is nowhere near exhaustive since every company should choose the ones that fit best, depending on the business size and type.

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Netflix at AWS re:Invent 2019

Netflix Tech

In this session, we discuss the technologies used to run a global streaming company, growing at scale, billions of metrics, benefits of chaos in production, and how culture affects your velocity and uptime. We explore all the systems necessary to make and stream content from Netflix.

AWS 15
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Incremental Processing using Netflix Maestro and Apache Iceberg

Netflix Tech

The need for backfilling could be due to a variety of factors, e.g. (1) upstream data sets got repopulated due to changes in business logic of its data pipeline, (2) business logic was changed in a data pipeline, (3) anew metric was created that needs to be populated for historical time ranges, (4) historical data was found missing, etc.

Windows 84