A sizable percentage of technology companies in Mexico are encountering several obstacles when using artificial intelligence (AI) in their operations, according to a survey done by data center firm Equinix.
The biggest problems firms face are the high cost of AI technology, data sharing, governmental regulations and a shortage of qualified personnel.
In the survey, more than 40% of organizations reported having trouble finding workers who were knowledgeable about the architectures of AI hardware and software, as well as specialists like data scientists, data engineers and data curators.
Another big worry about AI deployment is its price tag. AI requires a vast amount of data to be analyzed, which might take place in the cloud or on the edge. This can be costly, and some organizations may not have the funds for the investment.
Other difficulties include AI system security and the ethical concerns of employing AI in the absence of a government policy.
AI models can be more accurate if they incorporate external data, but the data sources demand control over what they provide. This can pose a problem for companies searching for the data required to train AI models.
In order to safeguard privacy, Equinix says businesses can either employ data anonymization techniques or enter into data-sharing agreements with other businesses.
“Unless these data sharing challenges are overcome, this will inhibit the use of artificial intelligence in business environments,” said Amet Novillo, Equinix Mexico CEO.