K
Kathleen Martin
Guest
While businesses and IT professionals are increasingly using artificial intelligence and machine learning (ML), measuring and proving the business value of the technologies remains a challenge for organizations.
Rackspace recently released a survey on AI and ML, where 1,870 IT leaders from differing areas – including manufacturing, finance, retail, government and healthcare – weighed in on the subject.
The survey found that while 62 percent of respondents said AI and ML is a high priority within their respective organizations, 36 percent said that “measuring and proving its business value remains the most common challenge.”
Further, the survey uncovered three barriers for implementing AI and ML: legacy technology barriers; difficulty in identifying return on investment; and lack of skills and/or staff.
“Almost every AI/ML project seeks to leverage insights gained from data. Converting the numbers into actions is a goal of every organization that operates AI/ML,” the survey says. “However, data and management obstacles associated with AI/ML can often impede or delay adoption.”
Continue reading: https://www.meritalk.com/articles/survey-business-value-of-ai-ml-difficult-to-prove-for-organizations/
Rackspace recently released a survey on AI and ML, where 1,870 IT leaders from differing areas – including manufacturing, finance, retail, government and healthcare – weighed in on the subject.
The survey found that while 62 percent of respondents said AI and ML is a high priority within their respective organizations, 36 percent said that “measuring and proving its business value remains the most common challenge.”
Further, the survey uncovered three barriers for implementing AI and ML: legacy technology barriers; difficulty in identifying return on investment; and lack of skills and/or staff.
“Almost every AI/ML project seeks to leverage insights gained from data. Converting the numbers into actions is a goal of every organization that operates AI/ML,” the survey says. “However, data and management obstacles associated with AI/ML can often impede or delay adoption.”
Continue reading: https://www.meritalk.com/articles/survey-business-value-of-ai-ml-difficult-to-prove-for-organizations/
