Skip to content

Latest
Related Sites
About
Media Kit
Search for:

AI at the Edge
AI Careers
Building with AI
Conversational AI
Cybersecurity AI
Data Engineering
Data Science
More

Home » OWASP

OWASP

OWASP Expands Efforts to Secure AI Applications

By Mike Vizard|2024-11-08T14:36:42-05:00November 8, 2024|

Home
About
Meet our Authors
Write for Techstrong AI
Media Kit
Sponsor Info
Copyright
Terms of Use
Privacy Policy

FOLLOW US

NEWSLETTER SIGN UP

© Techstrong Group, Inc. ALL RIGHTS RESERVED.

Data Management and Quality

Data Management and Quality

Step 1 of 6

16%

How would you best describe your organization's current level of data maturity?(Required)

Ad Hoc - Data is managed in an ad hoc manner with limited standardization or governance

Repeatable - Basic data management processes are in place, but there are still inconsistencies and “silos”

Defined - Data management processes are standardized and documented, but there is still room for improvement in automation and integration

Managed - Data management is proactive and integrated, with strong governance and automation

Optimized - Data is treated as a strategic asset and is fully integrated into business decision-making

Don’t know

Within your organization’s leadership , how highly prioritized is data quality compared to other data strategies (data collection, data security, data protection, etc.)?(Required)

Data quality is very high priority to my organization’s leadership

High priority

Same or similar priority

Low priority

Data quality is very low priority to my organization’s leadership

Which of the following data management and quality initiatives is your organization currently undertaking? (Select all that apply)(Required)

Data governance

Other

Data quality management

Data integration

Cloud data migration

Data lake implementation

Data warehousing

Other (please specify)

To what extent do you believe that AI or machine learning will impact your organization's data management and quality strategy in the next 3 years?(Required)

AI/ML will have a profound impact on my organization’s data management and quality strategy

Significant impact

Moderate impact

Slight impact

AI/ML will have little or no impact on my organization’s data management and quality strategy

Which of the following do you think are the three (3) most significant concerns at your organization regarding the adoption and use of AI?(Required)

Integration with existing systems

Cost of implementation

No concerns

Lack of skilled personnel

Data quality and accuracy

Security and privacy

Other

Ethical or copyright/ownership considerations

Concerns about accuracy, bias, or explainability

Other (please specify)

Thinking about your organization’s efforts to modernize its data infrastructure and architecture, what are your organization's top three (3) goals?(Required)

We have no goals, though we ARE making efforts to modernize our data infrastructure and architecture

Increase data accessibility and usability

Improve data quality

Increase agility and responsiveness to business needs

We have no goals; we are NOT making any efforts to modernize our data infrastructure and architecture

Improve data security

Other

Enable advanced analytics and AI/ML initiatives

Reduce costs

Other (please specify)