Data Innovation Summit 2021 Practical MLOps: Machine Learning pipeline automation – Oswaldo Gomez, Roche byAnja TrajkovaOctober 14, 2021
Data Innovation Summit 2021 Accelerating delivery with cloud services and an automated data architecture – Guillermo Burgos, Anticimex AB – Sweden byAnja TrajkovaOctober 14, 2021
Data Innovation Summit 2021 How to get your arms around Distributed Data – Antti Loukiala & Maria Hansson, Solita byAnja TrajkovaOctober 14, 2021
Data Innovation Summit 2021 Half the money I spend on advertising is wasted; the trouble is I don’t know which half – Kim Næss & Andreas Nordfors, GroupM byAnja TrajkovaOctober 14, 2021
Data Innovation Summit 2021 Leverage Artificial Intelligence to Grow Your Business: Practical Use Cases – Caner Canak, Turkcell byAnja TrajkovaOctober 14, 2021
Data Innovation Summit 2021 Innovation & Digital Transformation in Banking – Andrey Alekseenko, Teradata byAnja TrajkovaOctober 14, 2021
Data Innovation Summit 2021 AI Ethics – Salla Franzén, IKEA Retail (Ingka Group) byAnja TrajkovaOctober 14, 2021
Data Innovation Summit 2021 Twelve thousand work opportunities – Distributing temporary workforce at scale using Advanced Analytics – Teemu Kaipiainen, Seure Henkilöstöpalvelut Oy byAnja TrajkovaOctober 14, 2021
Data Innovation Summit 2021 Data Science at Scale across Industries: Lessons Learned – Maxime Allard, IBM byAnja TrajkovaOctober 14, 2021
Data Innovation Summit 2021 Responsible AI in Retail: what is it, why is it important and how do we ensure it? – Anna Baecklund, Maaret Malinen & Sara Thiringer, ICA Sweden byAnja TrajkovaOctober 14, 2021
