Programme

In the world of DevOps it is already common to deploy your code very fast without compromising on the quality. Agile Data Engine wants to enable this also for your data, it is an integrated DataOps development and operations platform for building, deploying and running cloud-based data warehouses. Data modelling, ELT & orchestration capabilities combined in the same software. In this videotalk you will be introduced to this Agile Data Engine.

Data science ethics is about deciding what is right and wrong in data science. Based on several cautionary tales and concepts, Professor David Martens will demonstrate the importance of considering data science ethics for businesses, both in terms of potential risks, as well as the value it can deliver. Watching the videotalk of Professor David Martens in which he shares several use cases, will give you insigts in where can things go wrong and what should you pay attention to, working with data.

DPG Media is one of the front-runners in the Benelux on their road towards a data mesh: a decentralized version of a data lake. This concerns mainly a paradigm shift in placing the responsibility and ownership of data with the people actually responsible for the business domain producing or consuming the data. In this talk, DPG Media will share details on how DPG builds an ML-first consumer product reaching millions of people a day, while offering product insights to the journalists and self-service advertising to the advertisers on top of the same data products in a data mesh set-up.

This session is brought to you by Qlik

VRT, a public broadcast company, builds a user-centric strategy where the media user is at the center of the activities and VRT is answering its increasing expectations. VRT also wants to remain agile and efficient as a company and be a reliable partner for other companies, government, etc.
This requires a transformation towards a data-driven company, whereby we can adequately process the growing amount of data, but also use it to generate insights and initiate targeted actions. This means that we focus on data and AI. Data in the broadest sense of the word with a focus on user data and high-quality metadata because this is the basis for some major strategic projects such as the development of the public broadcasting algorithm for VRTNU. With the latter, we want to inspire the media user and avoid ending up in a filter bubble. This videotalk will illustrate the steps taken, the use case-based way of working, and our future plans.

Ponsse is a Finland-based company that manufactures and markets a range of forestry vehicles and machines, such as freight forwarders and harvesters. Ponsse wanted to optimise its operations and boost service sales. The owner of a Ponsse harvester or forwarder expects the best possible return on their investment. Ponsse knew that data-driven services like predictive maintenance could minimise machine downtime in advance. However, the company’s data was spread out in multiple systems that didn’t fully communicate, making data-driven operations borderline difficult.
Data from manufacturing, after-sales, services, fleet management, and other sources were brought onto a cloud-based platform. And today, Ponsse creates value through data that cuts through all functions and business areas, empowering the company to develop new and innovative services. How they got there is explained in this talk by Marko Suojasto.

This session is brought to you by Solita

In order to overcome various data challenges, the Borealis data & analytics team decided to invest in a Data Lake. With this lake Borealis, a leading provider of innovative solutions in the fields of polyolefins, base chemicals and fertilizers, wants to:

• Reduce data preparation time for data science work;
• Be able to deal with the evolving data scope, growing volume and increasing complexity
• Build something that power users can develop, operate and leverage themselves

In this live videotalk Nathalie Rigouts, Head of IT Innovation of Borealis will share the current status and lessons learned on this agile way of working to incrementally develop a solution for data challenges in an interactive way, driven by business needs. Nathalie will also explain why having a data lake will not solve all issues and will highlight how to handle data governance. At the end of the session, there is sufficient time for your questions.

In this workshop Olivier van Duüren will give you hands on tactics to start and work on your data strategy. Learn how to accelerate and co-create a future proof data strategy and culture with all your stakeholders. Learn how to validate your current state, develop your future desired state (the North Star), and how-to co-create the bridge (strategic initiatives and priorities) towards that future. After the workshop you can, based on the guidance and insights during the workshop, get to work with the insights obtained.

Just like you, other data professionals struggle with various issues about how to transform into a data driven business, the importance of data quality and governance and how to drive a data strategy that is alligned with your business strategy, what do you need to know about data before you start AI and what are the legal and ethical aspects? During your registration for this event, we asked which questions you would like an answer to. During this session, the most frequently asked questions are dealt with under the direction of our moderator.

More and more companies move there IT infrastructure to the cloud including their data management applications. What is the business driver to move you data to the cloud, how is the migration process being handled, should you go for a hybrid or multi-cloud solution and is my data well protected on a public cloud. We will discuss these topics and clarify some of the most asked questions.