Data Challenges and Use of AI in Government

To understand the current challenges faced by CIOs in managing government data and the role of AI in addressing these challenges.

1. What are the top three data management challenges your agency is currently facing?(Select all that apply)

  1. Data Silos
  2. Data Security and Privacy
  3. Data Quality and Accuracy
  4. Lack of Skills
  5. Costs of Data infrastructure
  6. Regulatory and Compliance
  7. Other (please specify)

2. On a scale of 1–5, how would you rate the importance of addressing these data challenges in your organization?

3. Is your agency currently addressing the above data challenges to implement AI Use Cases

Yes

No

4. If yes, what are the primary applications of AI in your organization where you may have data challenges? (Select all that apply)

  1. Predictive Analytics
  2. Natural Language Processing
  3. Fraud Detection
  4. Decision Making Support
  5. Other (please specify)

5. Outside Data challenges what barriers are preventing your organization from adopting AI solutions? (Select all that apply)

  1. Budget Constraints
  2. Lack of Expertise
  3. Lack of Business Case
  4. Security Concerns
  5. Other (please specify)

6. In the next 2–5 years, how do you see the role of AI evolving in your organization?

  1. Limited Adoption
  2. Moderate Adoption
  3. Widespread adoption across multiple functions

7. What support or resources would help your agency better leverage AI for data challenges? (Select all that apply)

  1. Training and Upskilling Staff
  2. Budgets for Data and AI projects
  3. collaboration with commercial sector
  4. Clearer Regulatory Frameworks
  5. Other (please specify)

8. Please share your willingness to present to a wide group of IT leadership in Government and Commercial enterprises on your experience in overcoming Data Challenges to build AI Use cases

  1. Yes
  2. No
  3. Other (please specify)
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