Magna Exteriors: Pre-workshop Survey For Analytics SMEs

Thank you for participating in this survey, that delves into various aspects of Data & AI.

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* 1. Please enter your name:
(Optional)

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* 2. What is your area of expertise?

Business Intelligence (BI)

Data Platforms

Data Science

Artificial Intelligence (AI)

Other (please specify)

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* 3. Please share insights or comments regarding Magna Exterior’s journey in BI, Big Data or AI:

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* 4. What are the most significant challenges in implementing Data projects?

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* 5. What are the most significant challenges faced in AI projects?

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* 6. How do you handle data governance in your organization?

We have a dedicated data governance team

We follow industry best practices. Each team decides their own data governance rules

It's an area of improvement for us. Some teams have data governance processes

We don’t not have formal data governance

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* 7. How do you handle AI governance in the organization?
Example: Ethical practices, Data Privacy and Security, Bias Mitigation, Explainability, etc

We have a dedicated artificial intelligence governance team

We follow industry best practices. Each team decides their own artificial intelligence governance rules

It's an area of improvement for us. Some team have artificial intelligence governance processes

We don't have a formal artificial intelligence governance

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* 8. What is the foundational architecture of your data platform?

Data Warehouse

Data Lake

Lake House

Data Fabric

Data Mesh

Other (please specify)

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* 9. What % of your data and compute workflows are “On-Premise” or “Cloud”?

On Premise

Cloud

Clear

i We adjusted the number you entered based on the slider’s scale.

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* 10. Please share top two AI use cases which are productionized:

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* 11. Are there specific Data & AI use cases or projects that you aspire to explore in the near future?

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* 12. What tools or technologies does your team presently use for data analysis and AI implementation?
Example : SageMaker, AzureML, Databricks, Snowflake, ScikitLearn, TensorFlow, etc.

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* 13. What have been your biggest achievements by using data and analytics?

Increased Customer Satisfaction

Reduced Costs

Improved Product Quality

Increased Revenue

Accelerated time to market

Process optimization

Other (please specify)

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* 14. What are some of the techniques that have been implemented in Magna Exterior?

Predictive Analytics

Prescriptive Analytics

Anomaly Modeling

Machine Learning

Deep Learning

Generative AI

Other (please specify)

Magna Exteriors: Pre-workshop Survey For Analytics SMEs

Thank you for participating in this survey, that delves into various aspects of Data & AI.

Question Title

* 1. Please enter your name:(Optional)

Question Title

* 2. What is your area of expertise?

Question Title

* 3. Please share insights or comments regarding Magna Exterior’s journey in BI, Big Data or AI:

Question Title

* 4. What are the most significant challenges in implementing Data projects?

Question Title

* 5. What are the most significant challenges faced in AI projects?

Question Title

* 6. How do you handle data governance in your organization?

Question Title

* 7. How do you handle AI governance in the organization?Example: Ethical practices, Data Privacy and Security, Bias Mitigation, Explainability, etc

Question Title

* 8. What is the foundational architecture of your data platform?

Question Title

* 9. What % of your data and compute workflows are “On-Premise” or “Cloud”?

Question Title

* 10. Please share top two AI use cases which are productionized:

Question Title

* 11. Are there specific Data & AI use cases or projects that you aspire to explore in the near future?

Question Title

* 12. What tools or technologies does your team presently use for data analysis and AI implementation?Example : SageMaker, AzureML, Databricks, Snowflake, ScikitLearn, TensorFlow, etc.

Question Title

* 13. What have been your biggest achievements by using data and analytics?

Question Title

* 14. What are some of the techniques that have been implemented in Magna Exterior?

Question Title

* 15. Please share your expectations from the upcoming Data & AI enablement workshop:

* 1. Please enter your name:
(Optional)

* 7. How do you handle AI governance in the organization?
Example: Ethical practices, Data Privacy and Security, Bias Mitigation, Explainability, etc

* 12. What tools or technologies does your team presently use for data analysis and AI implementation?
Example : SageMaker, AzureML, Databricks, Snowflake, ScikitLearn, TensorFlow, etc.