Strategy & Innovation – 2 Nov

Many say that Agile and Cloud can solve anything. But, will Agile and Cloud reinforce each other in business acceleration? Does Cloud serve Agile or the other way around? Can Cloud and Agile work together, or are they not necessarily related to each other? Does Agile suit everyone, or are there environments where it will do more bad than good? What are the most critical aspects that need to be addressed in almost every organization? Monique Dekker asks Senior Technical Agile Consultant Theo Gerrits for guidance and practical advice. This session benefits management, mid-management, and leadership positions involved with Agile and/or Cloud, who want to scale, have questions about practical implementation, and more. In short, gain the right insights to take the next step towards effectively deploying these modern tools and methods.

Every week, HEMA welcomes 8 million customers into its online and physical stores, and every one of these shopping sessions generates data. Now, how does HEMA use all this data to improve the customer experience? And what crucial role does AWS have in this? Bas Karsemeijer, Head of Data & Analytics will tell you all about it! We invite all board members, managers, data scientists, and engineers who are in the process of developing a data vision and building a data strategy to join this online get-together.

As more and more businesses digitalize, physical products often become represented by their photographs. While advantageous in a lot of ways, this also presents businesses with new kinds of challenges. How to ensure that these materials are of sufficient quality? How to measure image quality use it to motivate users to improve? What visual factors make the product more appealing and sellable? We will consider these and many related questions in this session with the example of the world’s biggest flower auction. It will combine a range of business insights with technical showcases in the domain of Data Science. Key words: Data Science, Image recognition, Image quality, Neural Networks, Ranking algorithms, Quality evaluation, Digitalisation