19 December 2023Categories Artificial Intelligence CASE STUDYFrom Vision to Validation: Wakeb’s AI & Image Recognition JourneyWakeb had a business idea to build an innovative image recognition solution for the future. We verified their vision and […]
7 December 2023Categories Article NEWS TechnologyGoogle Unveils Gemini: The New Era of AIGoogle’s CEO Sundar Pichai recently announced the arrival of a groundbreaking AI model named Gemini, marking the beginning of a […]
17 January 2022Categories Artificial Intelligence CASE STUDYAI Recruitment Software: Talent Alpha Case StudyRead about a new platform taht could revolutionize the IT recruitment process. Check how AI supports HR processes.
10 December 2021Categories Article Events NEWS Stermedia people TechnologyLightning Talks: MLflow and ZeRO-OffloadWe met again at the weekly events of the Lightning Talks series. It is a grassroots initiative of colleagues from […]
4 August 2021Categories Article NEWS TechnologyCustomer Segmentation with Machine Learning: ClusteringWhat should a big company do with a large pool of customers if it wants to launch a marketing campaign for a new product? Clustering can help.
2 July 2021Categories Article NEWSHR Automation: 8 Ways to Use AI to Support HRRead how corporate HR teams, even in smaller organizations, can use automation and AI to improve efficiency and keep up with their work.
24 June 2021Categories Events NEWSIndustrial AI at the Generation 4.0 ConferenceRead how Stermedia helps factory managers appreciate changes that are happening thanks to the new technologies.
4 June 2021Categories Artificial Intelligence Automotive CASE STUDY ManufacturingPredictive Quality Control in ManufacturingRead how to create predictive models that provide information about possible problems that can be remedied in a timely manner.
1 June 2021Categories Artificial Intelligence Automotive CASE STUDY ManufacturingMachine Learning in Manufacturing for Car FactoriesRead how we used machine learning to help the global automotive market brand to improve prediction of material consumption.