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6 trends framing the state of AI and ML

O'Reilly on Data

We use it as a data source for our annual platform analysis , and we’re using it as the basis for this report, where we take a close look at the most-used and most-searched topics in machine learning (ML) and artificial intelligence (AI) on O’Reilly [1]. Reinforcement learning fell by 5% in 2019; it’s up hugely—1,500+%—since 2017, however.

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour. Where does it stand today?

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An Overview of Revenue Analytics for Event Industry

BizAcuity

This is resulting in the largest event management companies across this sector spending more than $43 billion on revenue analytics – which is a multi-dimensional and evolving field harnessing statistics, Artificial Intelligence and other tools to identify meaningful patterns in large data sets. billion in 2015 to $21.92

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Winning the Future: Digital Transformation, the Cloud, and AWS

Sisense

With data growing at a staggering rate, managing and structuring it is vital to your survival. We live in a world of data. Think back to when your company first started storing data, years ago: do any of you remember those clunky tapes, floppy disks, burning CDs, and DVDs? Everything about data storage has changed since then.