1. Projekt DIHS Data i det hållbara samhället Data in the Sustainable Society

3. AI has been around for more than 50 years
How does a human expert?
Copy the experts knowledge bu using ”If/else-logic”
What hidden relationships between data exists?
K-Nearest neighbour, Decision Trees etc
Imitate some aspects of a brain - Neural Networks/ Deep Learning
1950
1980
2010

4. Examples of Data Driven Innovations
Automated Marketing
Customer Segmentation
Sentiment Analysis
Automated Support/Coaching
Automated Descisionmaking
Prognosticate using large volumes of data
Alarms triggered by analysis of images/video/sound

5. Most of the time in AI-projects is spent on managing data
Data driven innovation that uses AI needs training data
A lot of data is needed. Data should be varied and include all values that can occur (ideally)
No data - no AI-solutions
Even pretrained models often need training data to fine tune the model

6. Objectives of Project DIHS
Contribute to a successful existence in the AI-influenced future of the region
Increase awareness and curiosity about AI in IT-companies, non-IT companies and public sector
Give ”hands on”- experience and stimulate the birth of a regional network about AI

7. Activities in the project
Introductory labs Basic AI, Reinforcement Learning, Textual analysis
Labs about Image Analysis Smart photocells?
Labs about Customer Service Data Skellefteå kommun, A3
Labs using Unity Using Unity and Tensorflow in combination

8. Activities in the project
Labs about SSiO-data LTU, 5G?
Participation in Kaggle- competitions
Lectures (non-technical) Inspirational lectures about relevant matters, AI:s effect on business models

9. Offerings to participants
Some kind of lab environment (some computer with ok GPU, Anaconda, some tasks to start with)
Data to use in the labs
A network - people to discuss with
Gained knowledge
Probably labs in Umeå and Skellefteå

10. Preliminary plan
2019-T1
Find data and metadata that can be used in labs (Skellefteå kommun, A3, LTU, companies/organisations in Skellefteå och Umeå)
Create the beginning of a networks for people interested in AI (Skellefteå kommun, companies, interested individuals
Procure leaders for seminars
Introductory labs in Umeå and Skellefteå
2019-T2
A bit more complex labs
2019-T3
A bit more complex labs
Non-technical seminars
2020-T1
Tricky labs, Unity etc
2020-T2
Create a team and participate in a Kaggle competition
2020-T3
Evaluation of the project, end of project

11. Wishlist from DIHS to You
Wishes/ideas about labs/non-technical seminars
Data to use in labs
Challenges you think might be solved with Ai and the available data
Lecturers (you yourself?) that talks about soft and hard aspects about challenges. experiences, thoughts regarding AI, data driven innovation etc
Participants that want to attend labs. Consider encouraging female collogues and collogues with background outside Sweden to participate

12. Comments, ideas, questions, joining the projects mailing list - contact me
Thomas Kvist