How would you characterize your organization's current strategy for AI adoption?

Machine Learning (ML)Artificial Intelligence (AI)

Leading the charge within my organization13%

Following innovative vendors or verified case studies from my industry59%

Taking an employee driven/grassroots approach20%

Taking a cautious approach8%

Not currently focused on AI initiatives

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a year ago

AI has been in the workplace for years. Industry is rebranding SW development as AI in many cases to be an innovative initiative. Recognizing for what it "is" and what it's "not" will assist in culling through the hype. RPA lacked governance and is causing more problems that benefit, so industry created another buzzword. Caveat Emptor!

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What are key ways in which your organization should hire affordable AI and data science talent? Check all that apply.

Recruit talent from diverse or non-traditional backgrounds (e.g. different degrees, institutions, or work experience)33%

Recruit less experienced AI talent with a high aptitude to learn 45%

Communicate the intrinsic benefits of the role (e.g., mission, culture, resources, opportunity for impact) 28%

Build talent pipelines through partnerships with academia and professional societies43%

Hire and upskill internal talent51%

Use specialized AI recruitment agencies11%

Other (please share details in comments)2%

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What are some less obvious or downstream opportunity costs you’ve encountered with AI implementation?

What is the one business pain point / challenge that you regularly face, that you wish AI had solved it? The problem could be a time consuming, routine task that is frustrating to handle. It may happen daily / weekly / monthly, and you may lose many hours on it which results in delays / added cost.

How much attention will artificial intelligence get from your organization in 2022?

High: it's a top priority for us26%

Moderate: it's important52%

Low: it's on the list14%

None: we're not planning to invest in AI6%