Towards intelligent and empowered HR built on people analytics: NPA Summit 2020

Towards intelligent and empowered data-driven HR: NPA Summit 2020

Nordic People Analytics Summit — Last week, a significant event took place, not only for HR and People Analytics practitioners but also for establishing HR as a strategic part in the data-driven business. We already see that HR is progressively going through a transformation from an intuitive and gut-based department to an empowered and intelligent function that can be a true partner of the CEO.

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Business

Is there room for IT on the road towards a data-driven organisation?
Business Data Management

Is there room for IT on the road towards a data-driven organisation?

The IT department rose to its fame when information technology and the Internet started being widely used in the organisation back in the 1980s. The rise of the internet created many new business opportunities and laid out a new economic narrative enabling companies to be more connected than ever before, contributing to the globalisation we are still leaving in.

Towards intelligent and empowered HR built on people analytics: NPA Summit 2020
Business HR & People Analytics

Towards intelligent and empowered data-driven HR: NPA Summit 2020

Nordic People Analytics Summit — Last week, a significant event took place, not only for HR and People Analytics practitioners but also for establishing HR as a strategic part in the data-driven business. We already see that HR is progressively going through a transformation from an intuitive and gut-based department to an empowered and intelligent function that can be a true partner of the CEO.

Tech

VR Group
Machine Learning Tech

How VR Group uses machine learning to predict passenger number

The passenger number is a crucial figure in railway operations that impact the overall functioning of the commuter railway traffic. But in the case of VR Group, Finland’s government-owned railway company, with over 14 million passengers carried on long-distance rail services only in 2019, predicting passenger number requires additional helping hand by machine learning.

Jorge Davila­ Chacon
Machine Learning Tech

Data and AI Innovators – Jorge Davila­ Chacon

Jorge Davila­ Chacon discussed the RL application for debt collection at Data Innovation Summit 2017. But a time-lapse of almost 3 years is a lifetime in the machine learning world. This was the reason we invited Jorge to talk about recent developments in AI and ML, and particularly in reinforcement learning, not only from a technical side, but also from a social aspect of the adoption of these technologies.

Daniel Zakrisson
Machine Learning Tech

Data and AI Innovators – Daniel Zakrisson

Giving up ownership over their data even for collaboration for building machine learning models is what organisations fret about. Daniel Zakrisson talked about federated machine learning as a solution for this predicament at Data Innovation Summit 2019.