AI self-assessment survey

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This is LUMI AI Factory’s AI self-assessment survey. The survey contains questions about your service needs and your organisation’s AI and HPC expertise. In addition, we will ask about your hopes in terms of growing your organisation’s AI capabilities. The survey consists of three sections and filling in the survey will take 5-10 minutes.

After you have filled out the survey, a Customer Manager will contact you and help you with the next steps of your AI journey, e.g., to guide you towards specific experts and/or services.

Step 1 of 3 – Service needs

33%

Comments

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1. What kind of benefits do you expect from engaging with AI Factory? Select all that apply.

Development or launch of new products or services

Increased efficiency or reduced costs

Reduced time to market

Development of existing products or services

Improvement of customer experience

Improvement of the team’s qualifications

Meeting of regulatory requirements

Gaining research perspective

I don’t know yet

Other, please specify

Other

2. What types of data do you need to work with? Select all that apply.(Required)

Proprietary or business confidential data

Special category personal data or other type of sensitive data

Open public data

Personal data

Data from scientific data repository and/or research data infrastructure

Sensor and/or IoT data

Other dynamic data

Data from a data space

Big data

I don’t know yet

Other, please specify

Other

3. What kind of support with data would help you the most?(Required)

Select between 1 and 3 choices.

Data management and compliance

Data privacy and compliance support

Data cleaning and preparation

Sourcing high value datasets, optional (please specify what datasets you are interested in)

Integration with data spaces / public data infrastructures

Machine learning operations, MLOPs (pipeline automation, deployment)

None

I don’t know yet

4. Which of the following computational Research, Development and Innovation (RDI) services are you interested in? Select all that apply.

AI inference services

CPU computing in HPC environments (A central processing unit (CPU), also called a central processor, main processor, or just processor, is the primary processor in a given computer)

GPU computing for AI development (The ability of GPUs to rapidly perform vast numbers of calculations has led to their adoption in diverse fields including artificial intelligence (AI) where they excel at handling data-intensive and computationally demanding tasks)

Data / models archiving

Fast storage (Flash memory)

Quantum computing

None

Other, please specify

Other

5. On which of the following topics would you be interested in receiving training? Select all that apply.

AI/HPC training on machine learning and deep learning

AI/HPC training on workflows

AI/HPC training on scaling and optimizing AI jobs

Data processing and management

Data privacy & compliance, AI ethics & trustworthy AI, regulation and governance

Domain-specific trainings (running specific software or tasks)

None

Other, please specify

Other

6. In which areas would you need expert support? Select all that apply.

Feasibility analysis for AI projects

AI project implementation support

Selecting, adopting, and implementing AI methods

Applying for large computational resources

Regulatory / compliance / ethics (e.g. trustworthy AI, GDPR)

Ecosystem and partnership development

None

Other, please specify

Other

7. Are you interested in using physical co-working spaces or student talent programs?

Yes, LUMI AI Factory Hub at Otaniemi, Finland

Yes, LUMI AI Factory Hub at Kumpula, Finland

Yes, Ostrava Hub, Czechia

8. What AI opportunity are you most interested in exploring right now? Please describe your idea, whether it's a well-defined project idea or just a preliminary thought about how AI could help your organisation.

9. Which of the following best describes your organisation's experience with AI?(Required)

No experience with AI

Little or limited experience with AI

Organisation is piloting AI solution

Some AI systems in use

Multiple AI systems in use

I don’t know

10. Which of the following best describes your organisation's experience with High-Performance Computing (HPC) projects?(Required)

No prior experience with HPC projects or related resources or expertise

Limited HPC experiments such as proof-of-concept or pilot projects

Regular HPC projects on a small scale or in specific research or analysis tasks

I don’t know

11. Which HPC system do you primarily use? Select all that may apply.

LUMI

Other EuroHPC supercomputers, please specify

Other supercomputer than EuroHPC, please specify

None of the above

Specify

12. Which computing infrastructure do you primarily use?

High-Performance Computing (HPC)

Local clustersThe organisation uses HPC extensively and strategically in major research, simulation, or production projects

Commercial cloud (e.g. AWS, Azure, Google Cloud)

None of the above

Other, please specify

Other

13. Do you consider to have suitable data for AI use?(Required)

Yes

I don’t know

14. Do you have a dedicated AI team and/or specialist at your organisation?(Required)

No dedicated team or specialists

No dedicated team or specialists, but initiatives to establish such roles

Yes, dedicated team or specialists actively working on A

I don’t know

15. Do you have barriers regarding AI adoption?(Required)

Budget constraints or unclear business value

Data privacy or data security concerns

Insufficient infrastructure or infrastructure limitations

Lack of data

Lack of relevant expertise or skills (e.g. AI engineering, data science, domain knowledge) or limited awareness

Regulatory uncertainty

No barriers

None of the above, (please specify)

Specify

First name(Required)

Last name(Required)

Email(Required)

Phone

Company / organisation(Required)

Job title

Type of organisation(Required)

Country(Required)

Domain area(Required)

Health and Life Sciences

Manufacturing

Communication Technologies and Networks

Chemistry

Electronics

Engineering

Energy

Space

Software Development

Construction

Consulting

Finance

Public Administration

Other, please spesify

Other

Consent(Required)

I agree to the privacy policy

LUMI AI Factory privacy policy

The survey will primarily follow the LUMI AIF privacy policy, but the responses will be shared with consortium partners according to the country choices you make in the survey. Country-specific responses will be collected as presented in the list below:

Academic Computer Center CYFRONET AGH (Poland)
IT4Innovations National Supercomputing
Center IT4I (Czech Republic)
University of Tartu UTartu (Estonia)
Sigma2 AS Sigma2 (Norway)
CSC – IT Center for Science CSC (Finland, and all other countries)