AI Gaining Rapid Momentum Across Enterprises: Report

IT leaders seem to be embracing the technology.

AI Gaining Rapid Momentum Across Enterprises: Report

Ninety-seven percent of respondents in a new survey of operations and IT leaders said artificial intelligence is "critical to driving operational improvements in the coming year."

Moreover, 82 percent said, "their organization is already following an AI strategy or roadmap for implementation."

That insight comes from a survey conducted by Celigo – an integration platform as a service (iPaaS) company.

The survey results indicate that IT leaders are embracing AI in their organizations, and at a rapid pace.

[RELATED: Celigo CEO Explains How iPaaS Helps Streamline Your Mission-Critical SaaS Apps]

More than 1,200 international operations and IT leaders across a variety of industries including manufacturing, retail, professional services, finance, health care, government and others, were asked questions about their organization's AI roadmap, strategies and concerns over its adoption.

Some Key Takeaways:

Here are the departments most said they are already using AI within their organizations:

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The respondents also reported the benefits of AI in their organizations:

The survey also asked respondents how AI is being used in their organizations:

Respondents also weighed in on concerns about AI:

Celigo also offered some strategies for IT leaders to create AI roadmaps:

Celigo also predicted which business operations are likely to be most transformed by AI sooner rather than later. One is front office operations. Chatbots and virtual assistants will handle "routine inquiries," providing instant answers. AI is also bound to integrate the customer experience across social media, email, text, etc.

Marketing and Sales will also be areas ripe for transformation. AI will help with targeted marketing campaigns and will be used to automate time-consuming sales tasks such as data entry, lead scoring and more.

AI is also likely to be used for back-office operations including automating workflows and performing predictive maintenance like alerting before a piece of equipment fails.