How to create happy and high performing teams with the help of data
Matti Klasson, Director of Agile, King Stockholm Studio, talked about using data to drive happy and high performing teams at Nordic People Analytics Summit.
Data security fundamentals: To protect your data, you need to understand it
In the data-driven era, data protection and data security are crucial for companies. However, they can’t protect their data, if they don’t understand it first. We […]
Experts advise: How to turn data into insights in the AI industrialisation era
The decade of data and AI industrialisation holds great potential for organisations to see the full value of their data and AI investments. However, without a proper plan for adoption, firms can experience the detrimental consequences of resource and funding misallocation, warns Ashley Cline, VP of Sales at Cloud Interactive.
An ML model that facilitates employee transfer in a company
Adam McKinnon, Advanced People Analytics Practitioner at Merck KGaA, a German multinational pharmaceutical, chemical and life sciences company, demonstrated a case study involving a practical approach with text analytics for facilitating job rotation within the organisation at the Nordic People Analytics Summit 2019.
The IoT piece in the growing Nordic PropTech puzzle
The promising Nordic PropTech scene has been on the rise for several years and has attracted the watchful eye of industry experts. Assiduous PropTech companies are busy with creating smart solutions ready to answer the market demand for smart homes and smart buildings.
Ensuring data quality from top to bottom at Grundfos
And as data is at the core of their digital offerings, ensuring high data quality along their whole value chains is Grundfos’ most critical priority.
Democratising model building at ING Bank
Data science in banking may sound a bit boring. However, data scientists have had their hands full with working on some really interesting challenges that banks have been experiencing these past several years.
Data and AI Innovators – Henrik Göthberg
As we’ve entered into the data and AI industrialisation and stabilisation decade, and leaving behind us the pioneering/piloting phase, working to become Data/AI Ready is the next logical step for one data-driven enterprise.
How to reduce your employee turnover with ML
Luke Whelan, Head of Analytics at Talivest gave a talk at the Nordic People Analytics Summit in Stockholm last year on a machine learning solution he built that helped a call centre to reduce its employee turnover by 30% within six months. And this is his story of how it happened.
Everyday AI work at Swedbank that solves current banking challenges
One of the industries where AI has found vast application is in banking. Banks have discovered some really valuable AI use cases: fraud prevention and fraud detection, credit underwriting decisions, customer service automation via chatbots, risk management, decreasing manual workload, and so on.
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