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.
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.
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.
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.
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.
Iiris Lahti, former Development Director – Data Utilization at Sanoma Media Finland will introducing the learnings and best practices of how to utilize data and machine learning in designing digital media services, content, marketing and better customer experiences.
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