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How DPG Media uses Amazon Bedrock and Amazon Transcribe to enhance video metadata with AI-powered pipelines

AWS Machine Learning - AI

This post was co-written with Lucas Desard, Tom Lauwers, and Sam Landuydt from DPG Media. DPG Media is a leading media company in Benelux operating multiple online platforms and TV channels. DPG Media’s VTM GO platform alone offers over 500 days of non-stop content.

Media 113
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Lessons learned turning machine learning models into real products and services

O'Reilly Media - Data

Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. However, in talking with CEOs looking to implement machine learning in their organizations, there seems to be a common problem in moving machine learning from science to production.

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What machine learning engineers need to know

O'Reilly Media - Data

In this episode of the Data Show , I spoke with Jesse Anderson , managing director of the Big Data Institute , and my colleague Paco Nathan , who recently became co-chair of Jupytercon. Continue reading What machine learning engineers need to know.

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The Shape of Things to Come: What’s the Future of Computer Programming?

The Crazy Programmer

The console programming market is nothing new — but the rise of console and smartphone gaming means a constant push toward more innovation, with gaming companies moving away from physical media and toward streaming games — which means more focus on software development. Artificial Intelligence and Machine Learning.

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Identifying budding big data talent in your company

O'Reilly Media - Data

Big data is often called one of the most important skill sets in the 21st century, and it’s experiencing enormous demand in the job market. Hiring data scientists and other big data professionals is a major challenge for large enterprises, leading many to shift their efforts to training existing staff. Statistics.

Big Data 203
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Progress for big data in Kubernetes

O'Reilly Media - Data

One subtle point is that having a shared client-side daemon allows for more efficient access to network and storage services without necessarily imposing an extra copy of the data between the application and the disk or network. The implications for big data. Big data systems have always stressed storage systems.

Big Data 226
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It's time to establish big data standards

O'Reilly Media - Data

The deployment of big data tools is being held back by the lack of standards in a number of growth areas. Technologies for streaming, storing, and querying big data have matured to the point where the computer industry can usefully establish standards. The main standard with some applicability to big data is ANSI SQL.

Big Data 193