Chief AI Officer: Does Your Enterprise Need a Head of AI? – Gartner

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By Ava McCartney | 3-minute read | March 22, 2024
Big Picture
Too often, organizations have an AI technology roadmap masquerading as a strategy. They fail to recognize that activities around AI and GenAI are business, economic, social, ethical and technology decisions.
Avoiding this mistake requires a holistic, integrated approach with clear leadership and governance. However, this does not mean that organizations should rush to appoint a chief AI officer. For most, a head of AI who is not at the C-suite level will be perfectly capable of managing the two key aspects of AI strategy execution: orchestration and multidisciplinary governance.
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Aligned business strategy: Focus on building a value story, which illustrates progress toward business outcomes, tied to an organization’s business strategy. The more you are willing to rethink and recalibrate your business, the greater the potential impact of AI.
Collaborative orchestration: There will be many concurrent AI and GenAI initiatives that require functional, technical, security, D&A and many other organizational resources. For the best chance of success, orchestrate them together. 
Gartner estimates that the spending on AI and GenAI will reach “material” levels (call-worthy earnings) for over 80% of organizations.
Source: Gartner
Areas of strategy, orchestration and governance include:
Strategic business goals and alignment
Operation execution 
Measurement 
AI-ready data strategy and ongoing curation 
Security 
Governance 
Risk and regulatory 
Talent shifts and dexterity (inclusive of AI literacy and trust program) 
Trust level and behavioral shifts in decision making 
Ethics and compliance
None of this is a one-time task. Multidisciplinary teams must iteratively revisit each item and dynamically adjust using a risk-adjusted, repeatable approach.
“Forget the job title, and focus on the value of AI. What is most important is that organizations have a business strategy infused with AI, rather than an AI technology roadmap masquerading as a strategy.”
3 things to tell your peers
The C-suite must ensure empowered, enforced and enabled organizational constructs to drive successful AI strategy and execution.
This requires leadership and accountability, but it does not necessarily justify a dedicated, C-suite level position.
Given the speed of AI updates and changes, it’s imperative that organizations take a dynamic, iterative, risk-adjusted, repeatable approach.
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Frances Karamouzis is the Group Chief of Research for IT Leaders and GTP. She is also a Distinguished VP Analyst in Gartner’s Research and Advisory Group focusing on Artificial Intelligence, Hyperautomation (inclusive of RPA and decision modelling) as well as the business and IT services to drive outcomes. Ms. Karamouzis is focused on research that addresses strategic planning, evaluations, business cases and service delivery capabilities, as well as disruptive trends. Ms. Karamouzis has appeared and/or contributed to reports showcased on 60 Minutes, CNN, CNBC, PBS, Business Week, Forbes and the Council for Foreign Relations. Ms. Karamouzis earned a bachelor’s degree in International Business and Accounting from New York University. She has also completed her M.B.A. in Finance at New York University.
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