Master Class Sessions ‘Data-driven Innovation Beyond the Hype’
Data-driven innovation aims to support business opportunities enabled by exploiting and leveraging diverse industrial and business data sources. While a lot of attention is currently given to examples by major internet companies (e.g., Google, Amazon, Facebook), data science can also be very valuable to innovate within other research and industrial domains and within SMEs, e.g., to derive insights from experimental data, to profile products and customers, to optimize production processes, to predict the failure of machines, or even to build data-centered startups.
The Master Class Sessions are of interest to everyone who needs to translate business opportunities into solvable technological problems, who wants to explore the new opportunities that are generated by the increasingly available stream of data, or who needs to steer or participate in a team of data scientists. Each of these sessions can be followed independently of one another. All the theoretical data knowledge is illustrated by actual industrial cases from current Data Innovation projects at Sirris.
The course schedule is regularly updated with sessions on additional topics.
Each of the sessions can be followed independently of one another.
Pricing:
The course notes are included in the registration price.
If you are a Flemish SME you can also make use of the SME portfolio. For more information, please visit http://www.kmo-portefeuille.be or contact us (caroline.mair@sirris.be).
EluciDATA core user group members benefit from a discount on the subscription fee (50% for demonstrator ambassadors/committed technology experts, 25% for engaged advisors, and 10% for the satellite interest group).
Each of the sessions starts at 13:00 and ends at 17:30. The sessions are organized at one of the Sirris sites (indicated per session). Each of the locations is easily reachable, and provides sufficient parking possibility. Route descriptions per site can be found on http://www.sirris.be/contact.
Our general terms and conditions for the trainings:
Any cancellation has to be made by e-mail (caroline.mair@sirris.be). If the cancellation is made less than 3 business days before the start of the session which you will attend, 50% of the participation fee will be charged (+VAT). After this deadline, the full amount of the registration will be due. In case of "no-show" the full amount of the registration fee is due too. Replacement by a colleague is always possible if notified by e-mail to caroline.mair@sirris.be
26.04.2018 Choosing the right algorithm for the right task (Zwijnaarde) - https://www.sirris.be/agenda/mastercourse-data-innovation-choosing-right-algorithm-right-task
28.05.2018 The art of formulating a data science task (Kortijk) - https://www.sirris.be/agenda/mastercourse-data-innovation-art-formulating-data-science-task-0
31.05.2018 Bring your own data (Zwijnaarde) - https://www.sirris.be/agenda/mastercourse-data-innovation-bring-your-own-data-innovation-challenge-workshop
The goal of this session is to offer an overview of data science and its opportunities for innovation from an industrial point of view. By means of actual cases from current data innovation projects in several domains, the iterative and creative path from business understanding to data exploitation will be described.
Any intelligent algorithm that is used to learn something from data requires that this data is presented in the most optimal way. The process of transforming the data and extracting the most relevant distinguishing characteristics out of it is called feature engineering.
