Artificial Intelligence Data Innovation Summit 2023 Statistics in the Wild: How to Keep Calm and Carry On – Aleksandrs Gehsbargs, Product Madness, Aristocrat Company byDarkoAugust 17, 2023
Artificial Intelligence Data Innovation Summit 2023 Prepare to Scale Trustworthy AI in Large Enterprise – Mattias Fras, Nordea byDarkoAugust 17, 2023
Data Innovation Summit 2023 Machine Learning Scale Experimentation in ML-driven Drug Discovery, MLOps from Research Perspective at Novo Nordisk – Carsten Stahult, Novo Nordisk & Kjell Carlsson, Domino Data Lab byDarkoAugust 17, 2023
Artificial Intelligence Data Innovation Summit 2023 Will AI Finally Democratize Data? – Shaun Mccgir, Dataiku byDarkoAugust 17, 2023
Artificial Intelligence Data Innovation Summit 2023 Premium What Would You Do with Half a Nation Dataset? – Antti Hahto, S Group byDarkoAugust 17, 2023
Artificial Intelligence Data Innovation Summit 2023 From Quick and Dirty to Robust and Scalable: Evolution of AI Models – Daniel Sandberg, Patrik Eriksson, Securitas byDarkoAugust 17, 2023
Data Governance Data Innovation Summit 2023 Data Management Data Mesh: Decentralized Data Paradigm – Real-value or Mostly Hype? – Jussi Ritola, Thoughtworks Finland byDarkoAugust 17, 2023
Data Innovation Summit 2023 Generative AI and Political News: Dangerous Implications – Tanner Verhey, Google byDarkoAugust 17, 2023
Artificial Intelligence Data Innovation Summit 2023 How to Scale AI with Confidence – Ann-Elise Dalbecq, IBM byDarkoAugust 17, 2023
Data Innovation Summit 2023 Three Steps to Unified Digital Identity: Highway to Improve Customer Data Quality – Eija Moisala, Elisa & Joonatan Henriksson, Haidon byDarkoAugust 11, 2023
