Which leadership role is taking ownership of generative AI at your org?

AI & Machine Learning People & Leadership

CIO30%

CDO/CDAO (chief data/analytics officer)22%

CISO13%

CTO13%

CEO5%

Ownership is shared10%

Someone else3%

No one4%

184 PARTICIPANTS

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Senior Director, Information Technology of Service Deliverya year ago

Shared between our CISO, and CPO (Privacy), under the direction/guidance of the CIO.

Senior Data and Analytics Leader in Governmenta year ago

The leadership role responsible for Gen AI would ideally depend on factors such as the company size, industry, existing technology and data governance structures, and the specific use cases being explored. Effective collaboration and clear lines of accountability across different functions would be crucial for the successful and responsible adoption of Gen AI.

IT Manager in Constructiona year ago

The CAIO (Chief Artificial Intelligence Officer)

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As you start 2024 and think about AI/GenAI for your organization. Where are you today?

Stil learning17%

Strategizing and planning51%

Experimenting23%

Scaling up8%

Not in my plans2%

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Any best practices your team follows when using AI solutions at work? Thinking of security tips, AI-generated content review, training, etc.

AI deepfakes have cost the industry over $200M this year. As CISOs, can we scale detection fast enough, or is regulatory pressure the only way to drive adoption?

How are you establishing and measuring the business value of your IT initiatives? (pick all that apply)

Return on Investment (ROI)44%

Total Cost of Ownership (TCO)41%

Net Present Value (NPV)23%

Internal Rate of Return (IRR)11%

Payback Period22%

Business Process Improvements (e.g., increased efficiency, reduced cycle times, or enhanced productivity)44%

Customer Satisfaction and Retention30%

Competitive Advantage18%

Risk Mitigation27%

Ability to Foster Innovation and Agility14%

Employee Satisfaction19%

Something Else (share in a comment!)3%

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Which leadership role is taking ownership of generative AI at your org?

Sort by:

Content you might like

As you start 2024 and think about AI/GenAI for your organization. Where are you today?

Any best practices your team follows when using AI solutions at work? Thinking of security tips, AI-generated content review, training, etc.

AI deepfakes have cost the industry over $200M this year. As CISOs, can we scale detection fast enough, or is regulatory pressure the only way to drive adoption?

How are you establishing and measuring the business value of your IT initiatives? (pick all that apply)

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

What sets us apart?

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