Industry\u2019s take on the chief artificial intelligence officer role FCW

“They don’t have to be data scientists, which would probably work against the goals of this role,” Thurai said. Much has changed in the fourteen months since the launch of ChatGPT put artificial intelligence on everyone’s radar. Never has a technology seen such rapid adoption and been heralded as a force that will impact every area of business. Dire forecasts compare the impact on employees with that of the Industrial Revolution, albeit at a faster pace and without a clear path to continued employment in other roles. With 21% of companies looking to add a chief AI officer to their IT leadership team, it’s becoming clear that rising interest in AI is translating into a greater desire for leadership around the complexities of AI in the enterprise. And it’s all about keeping on top of this promising, disruptive technology as it evolves, Coto says.

Budgets and staffs the CAIO can expect

When assessing CAIO candidates, concrete AI/ML engineering expertise remains non-negotiable. Leaders who merely keep pace with AI trends and terminology without grounded experience building, deploying, managing, and iterating on AI systems fail to make the grade. Opt for talent with battle-tested skill sets from spearheading impactful models. Beyond deep AI fluency, CAIOs distinguish themselves through versatile, cross-disciplinary thinking. They bridge understanding across specialties to identify where introducing intelligence fuels transformation.

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Finally, CAIOs understand that locked within an organization’s data remains a wealth of undisclosed potential to inform directions. Predictive capabilities uncover trends and behaviors, while prescriptive modeling guides optimal actions, sparking faster growth. Scout for telltale sparks of ingenuity and strategic thinking in a candidate’s communication style and past projects. Combine this penchant for visionary exploration with decision-making grounded in analytical rigor.

Why you should consider hiring a CAIO

The company’s follows a hybrid approach to AI development and implementation, combining center-led development of platform, reusable components, and capabilities, such as advanced visualization, with business unit (BU) partnerships. Clear expectations are emerging on the top experiences, skills, and traits that a CAIO candidate should bring to the job, Reeves says. Assuming the candidate passes muster on those counts, the individual can expect very positive short- and long-term impacts on their careers by taking up this emerging IT leadership role, he says. Devin could enable companies to pursue more projects, he argues, hiring humans to do the more meaningful work.

• Breakthroughs in natural language processing, computer vision, prediction, and automation emerge constantly.
• Committing to near and longer-term leadership growth remains essential to power your organization’s AI ascent successfully.
• Follow Rashi for continued coverage on AI and the ways its impacting society.
• Another CAIO described in the article is Mark Daley of Western University in Ontario.

Senior executives from Dell are urging enterprise leaders across the Asia-Pacific region to create chief AI officer roles and to adopt a “top-down” approach to AI implementation. In the same transformative spirit that the Chief Digital Officer (CDO) brought to businesses at the onset of the digital era, the Chief AI Officer (CAIO) emerges as a pivotal force for innovation. With deep expertise in AI technologies and a visionary approach to leveraging these systems, CAIOs are uniquely positioned to drive enterprises toward unprecedented growth and market disruption. While leading AI inherently requires a deep understanding of emerging technology, potential CAIOs should have an even stronger foundation in the business.

Holthaus is a proven general manager and leader who began her career with Intel nearly three decades ago. Prior to being named CEO of Intel Products, she was executive vice president and general manager of CCG. Holthaus has held a variety of management and leadership roles at Intel, including chief revenue officer and general manager of the Sales and Marketing Group, and lead of global CCG sales. First-mover advantage awaits companies powered by CAIO strategic foresight. For CAIOs to direct the coordinated AI adoption an organization needs, they must operate as C-suite peers, not subordinate Chief Executive Officer of an AI startup job managers. This executive status empowers CAIOs to communicate compellingly with fellow leaders to secure vital buy-in.