What percentage of employees does your organization aim to have achieved a proficient level of AI fluency this year? (meaning they are able to understand and apply AI techniques to solve business problems)

LeadershipData & Analytics

Less than 10%20%

Around 10-25%39%

Approximately 25-50%29%

More than 50%6%

Not applicable/No specific target4%

92 PARTICIPANTS
1.2k viewscircle icon1 Comment
Sort by:
Chief Data Officer in Softwarea year ago

If I am responsible for a given business process, do I necessarily need to understand how AI works in order to leverage it as a tool to help automate the tasks that I'm already proficient at?  Perhaps I am misunderstanding your question.  

Content you might like

Where do you face the most difficulty with data cataloging today?

Finding and accessing data across siloed systems

Making the catalog meaningful to business users

Scaling for growing volumes and varieties of data

Resourcing (funding or staffing) ongoing maintenance

Driving consistent adoption across teams

Keeping metadata current and accurate

Tracking data flow and dependencies

Integrating the catalog with tools like BI, ETL, and governance platforms

Ensuring governance and compliance with privacy and regulatory standards

Quantifying the impact of cataloging efforts

View Results

What are the fundamental leadership capabilities that are needed for an era of exponential technology and AI innovation?

Read More Comments

Why do you think there are so few mature AI-driven autonomous pentesting solutions on the market, and why does this topic seem to generate more hype than in-depth technical discussion?

Read More Comments

How do you maintain your data catalogs? Do you have a dedicated team for this or do you encourage all users to contribute to maintenance?

What’s your top barrier to adopting AI-driven pentesting?

Lack of mature vendor solutions41%

Trust in AI accuracy65%

Budget constraints29%

Skills to operate the tools47%

View Results