10 June 2025 Folder support for storage of prediction and experiment datasets Share this message When defining a prediction dataset filename in an ML deployment, you can include a folder path to organise prediction datasets. This also includes using dynamic naming as part of the path. Folder path storage is also now supported when exporting datasets from the Compare and Analyze tabs in an ML experiment. Dynamic naming and storage for batch predictions Exporting model training data How can we help? Barry has over 20 years experience as a Data & Analytics architect, developer, trainer and author. He will gladly help you with any questions you may have. Call us Mail us 16 June 2025 Uitnodiging: Haal meer uit je data tijdens de Ondernemersavond van Businessclub FC Aalsmeer Op donderdagavond 26 juni organiseert de Businessclub FC Aalsmeer weer een inspirerende Ondernemersavond. Dit keer staat het thema data & analytics centraal. Meld nu aan! Event 12 June 2025 Qlik Cloud May 2025 Updates Here’s a quick rundown of the May 2025 updates in Qlik Cloud. New Release Qlik 12 June 2025 Qlik Trust Score™ for AI-readiness Qlik Cloud introduces enhanced Qlik Trust Score™ dimensions for AI-readiness, offering deeper data quality insights. New features include Diversity, which measures data richness and distribution, Accuracy, which defines custom validation rules, and Timeliness, which ensures data freshness. These updates help secure trustable AI outcomes and reduce bias risks. New Release Qlik
16 June 2025 Uitnodiging: Haal meer uit je data tijdens de Ondernemersavond van Businessclub FC Aalsmeer Op donderdagavond 26 juni organiseert de Businessclub FC Aalsmeer weer een inspirerende Ondernemersavond. Dit keer staat het thema data & analytics centraal. Meld nu aan! Event
12 June 2025 Qlik Cloud May 2025 Updates Here’s a quick rundown of the May 2025 updates in Qlik Cloud. New Release Qlik
12 June 2025 Qlik Trust Score™ for AI-readiness Qlik Cloud introduces enhanced Qlik Trust Score™ dimensions for AI-readiness, offering deeper data quality insights. New features include Diversity, which measures data richness and distribution, Accuracy, which defines custom validation rules, and Timeliness, which ensures data freshness. These updates help secure trustable AI outcomes and reduce bias risks. New Release Qlik