What are the biggest hurdles for implementing a Governance Framework for Generative AI in your organization?

ArchitectureStrategy

Lack of AI awareness30%

Improper Data Governance 33%

Unclear AI Regulations 56%

Lack of Strategic Vision from senior leadership 40%

Improper Data pipelines20%

Lack of Algorithmic Audits3%

Lack of Responsible and Ethical AI practices 40%

Lack of experts in the team 16%

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Say you started at a new company and found out they were using data/analytics in some way that goes against your own personal ethics, but not against company policy. How would you proceed?

What kind of growth opportunities can be offered to data/analytics talent? How do we keep them in the org?

What do you prioritize the most in a job?

Benefits (healthcare, paid time off, etc.)7%

Hours flexibility21%

Location flexibility18%

Salary/income25%

Work-life balance15%

Workplace culture12%

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What kinds of phrases or approaches have you found helpful when trying to build strong working relationships with people in other departments?

Where will your biggest data investment go to support AI in 2025?

Building scalable data lakes and warehouses18%

Improving data quality and governance practices45%

Implementing real-time analytics capabilities14%

Automating data pipelines and workflows15%

Investing in data privacy and security technologies 7%

Other area1%

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