Anup thanks you for your question and as you can imagine Nokia is a big company and so the answer may be different depending upon which part of the organization you ask. I’m with the training organization so let me give you a high-level view on the process. In general, there are three Phases to a Data Project. Phase 1 – Problem Identification where the project is scoped and team members are assigned. Data requirements are established. Phase 2 - Data Collection, Preparation, and Modelling. Phase 3 – Final evaluation and Deployment. Within this process across the company, there is a great variety in the team size and tools to run the project.

13 September, 2020 13:31

In Nokia, like in many large organizations, data is everywhere. One aspect Nokia focuses on to get data under control and get all the value from it is Data Governance, across the organization. When the data is governed, i.e., managed, secured, accurate, available… then it can be used to feed intelligence pipelines.

15 September, 2020 10:36

Frederic, a place to start is careers at Nokia. https://careers.nokia.com/ Difficult to say the specific data science opportunities in the next decade but growth for sure. It's a discipline that is in high demand with no change insight.

24 January, 2023 14:42